diff --git a/.github/CODEOWNERS b/.github/CODEOWNERS new file mode 100644 index 0000000..aaa8cb5 --- /dev/null +++ b/.github/CODEOWNERS @@ -0,0 +1,21 @@ +# Reviewers auto-assigned by GitHub when a PR touches matching paths. +# +# NOTE: GitHub silently drops rules that reference users / teams without +# write access on the repo. If a path here doesn't have an effective owner +# (e.g. you renamed the org or removed the user), the rule does nothing. + +# Default owner for everything. +* @JayantChopra + +# Repo-shape changes (CI, templates, code of conduct, security policy). +/.github/ @JayantChopra + +# The reference implementation: the only committed agent code. +# Touching this changes the canonical pattern other scaffolds mirror. +/agents/stripe-refund-aud/ @JayantChopra + +# Validation tooling: gates every PR. +/scripts/ @JayantChopra + +# The field notebook of Keystone behaviors. Be careful when changing. +/LEARNINGS.md @JayantChopra diff --git a/.github/CODE_OF_CONDUCT.md b/.github/CODE_OF_CONDUCT.md new file mode 100644 index 0000000..d64acf9 --- /dev/null +++ b/.github/CODE_OF_CONDUCT.md @@ -0,0 +1,41 @@ +# Code of Conduct + +## Our pledge + +We pledge to make participation in this project a harassment-free experience for everyone, regardless of age, body size, visible or invisible disability, ethnicity, sex characteristics, gender identity and expression, level of experience, education, socio-economic status, nationality, personal appearance, race, religion, or sexual identity and orientation. + +## Our standards + +Examples of behavior that contributes to a positive environment: + +- Using welcoming and inclusive language. +- Being respectful of differing viewpoints and experiences. +- Gracefully accepting constructive criticism. +- Focusing on what is best for the community. +- Showing empathy towards other community members. + +Examples of unacceptable behavior: + +- The use of sexualized language or imagery, and sexual attention or advances of any kind. +- Trolling, insulting or derogatory comments, and personal or political attacks. +- Public or private harassment. +- Publishing others' private information, such as a physical or email address, without their explicit permission. +- Other conduct which could reasonably be considered inappropriate in a professional setting. + +## Enforcement responsibilities + +Project maintainers are responsible for clarifying and enforcing standards of acceptable behavior and will take appropriate and fair corrective action in response to any behavior they deem inappropriate, threatening, offensive, or harmful. + +## Scope + +This Code of Conduct applies within all project spaces (issues, PRs, discussions) and when an individual is officially representing the project in public spaces. + +## Enforcement + +Instances of abusive, harassing, or otherwise unacceptable behavior may be reported by contacting the project team at **support@polarity.so**. All complaints will be reviewed and investigated promptly and fairly. + +All project maintainers are obligated to respect the privacy and security of the reporter of any incident. + +## Attribution + +This Code of Conduct is adapted from the [Contributor Covenant](https://www.contributor-covenant.org/), version 2.1. diff --git a/.github/CONTRIBUTING.md b/.github/CONTRIBUTING.md new file mode 100644 index 0000000..6e609e3 --- /dev/null +++ b/.github/CONTRIBUTING.md @@ -0,0 +1,114 @@ +# Contributing + +Thanks for your interest. The repo is a planning workspace for Polarity Keystone evals: scaffolds (what an agent should do), specs (acceptance tests), and a working notebook of what runs end-to-end. + +## What we welcome + +- Bug reports against existing scaffolds, specs, or scripts. +- New agent scaffolds or new spec scenarios. +- Validation of the deferred scaffolds (`db-architect`, `devops-shell`, `data-pipeline`). +- Improvements to docs, especially [LEARNINGS.md](LEARNINGS.md) when you discover a new Keystone behavior. +- Fixes to the validation tooling under `scripts/`. + +## Before you write code + +1. Skim [README.md](README.md) for the repo shape. +2. Read [LEARNINGS.md](LEARNINGS.md). It's the difference between an hour and a day of debugging. +3. For non-trivial work, open an issue first so we can align on direction. + +## Repo policy + +The repo ships **scaffolds + specs + one reference implementation**. Test agents you build to validate a scaffold are throwaway: build them under `/tmp/build//`, upload as a snapshot for the test, then delete the local copy. Don't commit them. + +The single committed implementation is `agents/stripe-refund-aud/agent.py`. It's the canonical pattern reference. + +## Local setup + +```bash +# 1. Install the ks CLI +curl -fsSL https://ks.polarity.so/install.sh | bash + +# 2. Wire your Keystone API key +ks setup api-key + +# 3. Confirm +ks setup doctor +``` + +For working with the SDK locally (uploading snapshot agents): + +```bash +pip install polarity-keystone +``` + +For the validation script: + +```bash +pip install yamllint pyyaml +``` + +## Workflow for a new spec + +``` + 1. planning/.md copy from planning/_template.md + fill in the five questions + 2. drafts/.yaml copy from specs/_template.yaml + iterate freely + 3. bash scripts/validate.sh + local lint passes + 4. specs//.yaml + promote when stable + 5. ks eval run actually run on Keystone +``` + +## Workflow for a new scaffold + +``` + 1. agents//AGENT.md copy from agents/_template.md + describe purpose, inputs, outputs, + acceptance criteria + 2. specs//.yaml the acceptance spec for the scaffold + 3. Validate locally bash scripts/validate.sh + 4. Validate end-to-end build a throwaway agent in /tmp/build//, + upload, run the spec, mark scaffold-verified, + delete the throwaway + 5. Open a PR +``` + +## Validation + +Before opening a PR: + +```bash +bash scripts/validate.sh +``` + +The script enforces: + +- Valid YAML. +- Required spec fields (`version`, `id`, `base`, `task`, `scoring|invariants`). +- `id` is kebab-case and matches the filename. +- Every scoring rule has a positive weight (Keystone server rejects `weight=0`). +- Every `agent.snapshot` references an `agents//` folder. + +## Conventions + +- **Slug = kebab-case = filename stem.** Agent slugs match folder names; spec ids match filenames. The linter enforces this. +- **No emojis in docs or code.** +- **No commit-message attribution to AI tools.** Don't add `Co-Authored-By: Claude` or similar trailers; don't add "Generated with..." footers to PR bodies. +- **Keep PRs focused.** One scaffold or one spec per PR if practical. +- **Update LEARNINGS.md** when you discover a new Keystone behavior, even if you also worked around it in code. Future contributors will thank you. + +## PR review + +We aim for one reviewer turnaround within a few days. PRs that: + +- Pass `bash scripts/validate.sh` locally, +- Reference an issue (or include a one-line problem statement), +- Touch one scaffold or one spec at a time, + +…get reviewed faster. + +## License + +By contributing, you agree your contributions are licensed under the [Apache License 2.0](LICENSE). diff --git a/.github/ISSUE_TEMPLATE/bug_report.yml b/.github/ISSUE_TEMPLATE/bug_report.yml new file mode 100644 index 0000000..c1dda1b --- /dev/null +++ b/.github/ISSUE_TEMPLATE/bug_report.yml @@ -0,0 +1,67 @@ +name: Bug report +description: Something is broken or behaves unexpectedly in a scaffold, spec, or script. +title: "bug: " +labels: ["bug", "triage"] +body: + - type: markdown + attributes: + value: | + Thanks for filing a bug. The more specific you can be, the faster we can fix it. + + For security issues, **do not file a public issue**. See [SECURITY.md](../blob/main/.github/SECURITY.md). + + - type: textarea + id: summary + attributes: + label: Summary + description: One or two sentences describing the bug. + placeholder: "scripts/validate.sh fails with 'missing scoring block' on a spec that has a top-level `scoring:` section." + validations: + required: true + + - type: textarea + id: repro + attributes: + label: Steps to reproduce + description: Minimal steps. Include the spec / scaffold path, command, and any error output. + placeholder: | + 1. Clone the repo at . + 2. Run `bash scripts/validate.sh`. + 3. Observe error: ... + render: markdown + validations: + required: true + + - type: textarea + id: expected + attributes: + label: Expected behavior + validations: + required: true + + - type: textarea + id: actual + attributes: + label: Actual behavior + description: Paste full error output / experiment id / scenario JSON if relevant. + validations: + required: true + + - type: input + id: ks_version + attributes: + label: Keystone CLI version + description: Output of `ks --version`. + placeholder: "ks version v0.1.13" + + - type: input + id: os + attributes: + label: Host OS + placeholder: "macOS 14.5 / Ubuntu 24.04" + + - type: textarea + id: notes + attributes: + label: Anything else + description: Logs, screenshots, hypotheses, related issues, etc. diff --git a/.github/ISSUE_TEMPLATE/config.yml b/.github/ISSUE_TEMPLATE/config.yml new file mode 100644 index 0000000..70b5baf --- /dev/null +++ b/.github/ISSUE_TEMPLATE/config.yml @@ -0,0 +1,11 @@ +blank_issues_enabled: false +contact_links: + - name: Polarity Keystone documentation + url: https://docs.polarity.so/ + about: Questions about Keystone itself (not this repo) belong upstream. + - name: Security disclosures + url: https://github.com/Polarityinc/Promising-Spec-Library/blob/main/.github/SECURITY.md + about: Do NOT file a public issue for vulnerabilities. + - name: Polarity support + url: mailto:support@polarity.so + about: General Polarity questions / commercial inquiries. diff --git a/.github/ISSUE_TEMPLATE/spec_or_scaffold_proposal.yml b/.github/ISSUE_TEMPLATE/spec_or_scaffold_proposal.yml new file mode 100644 index 0000000..8a12b3b --- /dev/null +++ b/.github/ISSUE_TEMPLATE/spec_or_scaffold_proposal.yml @@ -0,0 +1,66 @@ +name: New scaffold or spec proposal +description: Propose a new agent scaffold, a new acceptance spec, or both. +title: "proposal: " +labels: ["proposal", "triage"] +body: + - type: markdown + attributes: + value: | + Use this template to propose a new agent scaffold, a new acceptance spec, or a pair of both. + + Read [LEARNINGS.md](../blob/main/LEARNINGS.md) first — Keystone has six undocumented behaviors that constrain what's buildable. Knowing them upfront saves redesign cycles. + + - type: dropdown + id: kind + attributes: + label: What are you proposing? + options: + - New agent scaffold (with matching spec) + - New spec for an existing scaffold + - New scaffold without a spec (just the persona) + validations: + required: true + + - type: textarea + id: purpose + attributes: + label: Purpose + description: What's the agent supposed to do, in one paragraph? + placeholder: "An agent that reads a Slack channel for outage chatter and posts a structured summary to a Notion page when the chatter clusters around a single incident." + validations: + required: true + + - type: textarea + id: acceptance + attributes: + label: Acceptance criteria + description: How will we know the agent works? What invariants would the spec check? + placeholder: | + - summary.md was created + - summary mentions exactly one incident id + - LLM judge: summary is faithful to the input messages + validations: + required: true + + - type: textarea + id: services + attributes: + label: External services / data sources + description: Any APIs, databases, or http_mock services the agent talks to. Be specific about whether they need to be reachable inside the sandbox. + placeholder: "Slack API (read-only), Notion API (write). Both can be mocked via http_mock for the spec's test scenarios." + + - type: dropdown + id: agent_type + attributes: + label: Likely agent type + description: Snapshot for anything talking to declared services; type:python for embedded code with setup.files inputs. + options: + - snapshot (talks to services / reusable) + - python (embedded code in spec, no services) + - cli (smoke test, no LLM) + - not sure + + - type: textarea + id: notes + attributes: + label: Anything else diff --git a/.github/PULL_REQUEST_TEMPLATE.md b/.github/PULL_REQUEST_TEMPLATE.md new file mode 100644 index 0000000..f142930 --- /dev/null +++ b/.github/PULL_REQUEST_TEMPLATE.md @@ -0,0 +1,50 @@ + + +## Summary + + + +## Type of change + + + +- [ ] `scaffold` — new agent scaffold (`agents//AGENT.md`) +- [ ] `spec` — new acceptance spec (`specs//.yaml`) +- [ ] `validation` — verified an existing scaffold end-to-end on Keystone (status flip + LEARNINGS update) +- [ ] `fix` — bug fix in a scaffold, spec, or script +- [ ] `docs` — README / LEARNINGS / docs only +- [ ] `tooling` — `scripts/`, `.github/`, configs +- [ ] `chore` — anything else + +## What changed + + + +## How was this tested + + + +**Experiment IDs (if applicable):** + + + +## Related issues + + + +## Checklist + +- [ ] No secrets, API keys, or `.env` content committed. +- [ ] No `Co-Authored-By` or AI-tool attribution lines in commit messages or this PR body. +- [ ] If this adds a scaffold: the AGENT.md follows `agents/_template.md` shape. +- [ ] If this adds a spec: it validates against `scripts/validate.sh` and references an existing `agents//`. +- [ ] If this changes Keystone-runtime behavior we discovered: [LEARNINGS.md](../LEARNINGS.md) is updated. diff --git a/.github/SECURITY.md b/.github/SECURITY.md new file mode 100644 index 0000000..9aae9bd --- /dev/null +++ b/.github/SECURITY.md @@ -0,0 +1,36 @@ +# Security + +## Reporting a vulnerability + +If you discover a security issue in this repo (a spec or scaffold that leaks secrets, a script that mishandles credentials, or anything else with security implications), please **do not** open a public issue. + +Instead, email **support@polarity.so** with: + +- A description of the issue. +- Steps to reproduce. +- The affected file(s) at a specific commit SHA. +- Your name (so we can credit you, if you'd like). + +We aim to acknowledge reports within 2 business days and to publish a fix within 30 days for confirmed issues. + +## Scope + +This repo contains: + +- **Markdown scaffolds and YAML specs**: design artifacts with no runtime privileges. +- **One Python agent**: `agents/stripe-refund-aud/agent.py`, stdlib-only, executes inside Keystone sandboxes only. +- **Helper scripts** under `scripts/`: linters; no network access. + +It does **not** contain: + +- Production secrets. The `.env` file is gitignored. +- Credentials, tokens, or service account keys. +- Code that talks to user-facing services other than Keystone and (optionally) xAI / Anthropic / OpenAI APIs that the test agents call. + +If you believe something in this repo is leaking a credential, that's a confirmed vulnerability. Email immediately. + +## Out of scope + +- Issues in upstream Keystone (Polarity's platform). Report those via Polarity support. +- Issues in third-party APIs the agents call (xAI, Anthropic, OpenAI). Report to those vendors. +- Hypothetical vulnerabilities in agent code generated **by AI coders following the scaffolds**. Those are the responsibility of whoever wrote and uploaded the agent; this repo only ships the scaffold (description), not the implementation. diff --git a/.github/workflows/validate.yml b/.github/workflows/validate.yml new file mode 100644 index 0000000..c21696d --- /dev/null +++ b/.github/workflows/validate.yml @@ -0,0 +1,34 @@ +name: validate + +on: + push: + branches: [main] + pull_request: + branches: [main] + +concurrency: + group: validate-${{ github.ref }} + cancel-in-progress: true + +permissions: + contents: read + +jobs: + validate-specs: + name: validate specs + runs-on: ubuntu-latest + steps: + - uses: actions/checkout@v4 + + - name: setup Python + uses: actions/setup-python@v5 + with: + python-version: "3.12" + + - name: install lint deps + run: | + python -m pip install --upgrade pip + pip install yamllint pyyaml + + - name: run validate.sh + run: bash scripts/validate.sh diff --git a/CHANGELOG.md b/CHANGELOG.md new file mode 100644 index 0000000..8bfc689 --- /dev/null +++ b/CHANGELOG.md @@ -0,0 +1,41 @@ +# Changelog + +All notable changes to this repo are recorded here. Format follows [Keep a Changelog](https://keepachangelog.com/en/1.1.0/). + +## [Unreleased] + +### Added +- `CONTRIBUTING.md`, `SECURITY.md`, `CODE_OF_CONDUCT.md`, `NOTICE`, `CHANGELOG.md` for standard OSS hygiene. +- "Run your first real eval" walkthrough in the README covering the four steps from a fresh clone to a passing snapshot-agent eval. + +### Changed +- All 8 scaffold `AGENT.md` files: corrected the "Paste this to your AI coder" prompt to reflect the working stdlib-only pattern. Earlier prompts told users to wrap their LLM client with `polarity_keystone.Keystone().wrap()`, which fails for snapshot agents because the SDK is too large to fit in the bundle (see LEARNINGS.md §2). +- `agents/stripe-refund-aud/AGENT.md` Notes: clarified that the agent uses raw `urllib.request` instead of the wrapped client, and what that costs in observability. + +## [0.1.0] - 2026-05-13 + +Initial public scaffolding. Established with the goal of providing a planning workspace for Polarity Keystone specs. + +### Added +- 9 agent scaffolds (`agents//AGENT.md`): general-coder, bug-fixer, db-architect, security-auditor, web-builder, data-pipeline, devops-shell, research-summarizer, plus the `stripe-refund-aud` reference implementation with real Python code. +- 12 acceptance specs across 7 domains (`specs//*.yaml`). +- 12 planning documents (`planning/.md`) capturing the design rationale per spec. +- Local validation tooling: `scripts/validate.sh` runs yamllint and a custom field-checker (`scripts/lint-spec.py`). +- Catalog generator: `scripts/catalog.py` regenerates the README's agent and spec catalog tables. +- 8 reference docs under `docs/` (spec anatomy, concepts, agent types, best practices, glossary, etc.). +- `LEARNINGS.md` field notebook documenting six undocumented Keystone behaviors found while running real evals: snapshot extraction path, bundle size cap, setup.files non-propagation, type:python/services network mismatch, secret YAML form, dashboard push failure. +- Apache License 2.0 (`LICENSE`). +- Skill files for every supported AI coder (`.claude/`, `.cursor/`, `.gemini/`, `.opencode/`, `.codex/`, `.windsurf/`, `.agents/`) written by `ks setup`. +- Verified end-to-end on Keystone (Grok-4 via xAI): + - `hello-world`: PASS (cli baseline). + - `summarize-changelog`: scaffold-verified. + - `bugfix-linked-list`: scaffold-verified. + - `refactor-god-class`: scaffold-verified (style invariant flaky). + - `language-matrix-csv`: scaffold-verified (Python scenario). + - `rest-api-todo`: scaffold-verified. + - `webhook-receiver-hmac`: scaffold-verified. + - `security-review`: scaffold-verified. + - `refund-aud-only`: snapshot upload + execution flow proven. + +### Deferred +- `postgres-ecommerce`, `dockerize-flask-app`, `enterprise-reconciliation`. Each documented in its AGENT.md with the infrastructure reason. diff --git a/LEARNINGS.md b/LEARNINGS.md new file mode 100644 index 0000000..3adb029 --- /dev/null +++ b/LEARNINGS.md @@ -0,0 +1,230 @@ +# LEARNINGS + +A working notebook of how to actually run Keystone evals from this repo, distilled from running real experiments against `keystone.polarity.so`. Treat this as the missing chapter of the SKILL.md — the things you only discover by trying. + +If you're new here, start with the README. Then read this when something breaks. + +## What we've verified runs end-to-end + +| Spec | Agent type | Status | +|---|---|---| +| [`general/hello-world`](specs/general/hello-world.yaml) | `cli` | PASS — baseline, no LLM | +| [`general/summarize-changelog`](specs/general/summarize-changelog.yaml) | `snapshot` | scaffold + spec verified realizable (throwaway impl uploaded once, ran clean) | +| [`security-agents/security-review`](specs/security-agents/security-review.yaml) | `snapshot` | scaffold + spec verified realizable (throwaway impl uploaded once, ran clean) | +| [`finance-agents/refund-aud-only`](specs/finance-agents/refund-aud-only.yaml) | `snapshot` | implementation in [`agents/stripe-refund-aud/`](agents/stripe-refund-aud/); snapshot upload + execution flow proven | + +Everything else in the spec catalog is a scaffold — design only. None of those have been run end-to-end yet. + +## Six things that bit us, and how to avoid each + +### 1. Snapshot bundles extract to `/agent/`, not `/workspace` + +Custom snapshots get unpacked to `/agent/` and that directory is added to `$PATH`. But the entrypoint runs with `CWD=/workspace`. So: + +```python +# WRONG — agent.py is at /agent/agent.py, but CWD is /workspace +ks.agents.upload( + name="my-agent", + path="agents/my-agent", + entrypoint=["python", "agent.py"], + runtime="python:3.11", +) + +# RIGHT — absolute path +ks.agents.upload( + name="my-agent", + path="agents/my-agent", + entrypoint=["python3", "/agent/agent.py"], + runtime="python:3.11", +) +``` + +Symptom of the wrong form: `python: can't open file '/workspace/agent.py'`. + +### 2. Bundle size cap is ~1 MB, not the 5 MB the error message claims + +Even after stripping `__pycache__`, `*.dist-info`, `tests/`, etc., a bundle that vendors the `openai` SDK is around 3.7 MB compressed — and that's already too big. The actual cap is closer to **1 MB** once Keystone base64-encodes it for the nomad alloc. + +Practical implication: **don't vendor Python dependencies into the snapshot.** Write stdlib-only agent code that talks to LLM APIs over plain HTTP: + +```python +import json, os, urllib.request + +def chat(messages, model="grok-4"): + req = urllib.request.Request( + "https://api.x.ai/v1/chat/completions", + data=json.dumps({"model": model, "messages": messages}).encode(), + method="POST", + headers={ + "Authorization": f"Bearer {os.environ['XAI_API_KEY']}", + "Content-Type": "application/json", + }, + ) + return json.loads(urllib.request.urlopen(req, timeout=60).read()) +``` + +The working `stripe-refund-aud` snapshot is **1,551 bytes**. + +Side effect of going stdlib-only: no `polarity_keystone.wrap()` → no automatic LLM cost tracking inside Keystone. The xAI bill still goes to your account; Keystone just doesn't see it. + +### 3. `setup.files` do NOT reach snapshot agents + +Files written via `setup.files` are visible to invariants (which check the sandbox host's `/workspace`), but they are **not** visible inside the snapshot agent's container. Inside the snapshot agent, `/workspace` is empty at boot. + +The flow is asymmetric: + +``` + host (where setup.files writes) → invariants see them + snapshot agent's /workspace → empty at boot + snapshot agent writes /workspace/X → host sees them, invariants check +``` + +So for snapshot agents, pass input data via env vars instead: + +```yaml +agent: + type: snapshot + snapshot: my-agent + env: + AGENT_INPUT: '{"charge_id":"ch_aud_001","reason":"duplicate"}' +``` + +…and read with `json.loads(os.environ["AGENT_INPUT"])` inside the agent. + +For input data too large for an env var, you can vendor it inside the snapshot bundle itself (it'll be at `/agent/`), or stand up a service to host it. + +`type: python` agents don't have this problem — they share `/workspace` with the host directly and see `setup.files` writes normally. + +### 4. `type: python` agents can't reach declared `services:` + +```yaml +services: + - name: stripe-mock + type: http_mock + ... + +agent: + type: python + binary: agent.py +``` + +The agent gets a DNS failure for `stripe-mock`: + +``` +socket.gaierror: [Errno -3] Temporary failure in name resolution +``` + +`type: python` agents run on the sandbox host, in a different network namespace than the services. The documented `KEYSTONE_SERVICE__HOST` env vars are also not set. + +If your spec needs to talk to a declared service, use `type: snapshot` instead. Snapshot agents share the sandbox network and reach services by hostname. + +### 5. Secret YAML syntax — only the object form works + +```yaml +secrets: + - OPENAI_API_KEY # fails: "cannot unmarshal !!str into SecretSpec" + +secrets: + - name: OPENAI_API_KEY # works +``` + +The bare-name form is documented but the server rejects it at spec upload time. Always use the explicit object form. + +### 6. Dashboard secret push fails — use per-run injection + +`ks env push` errors out without useful detail (we couldn't get it to work in any configuration). Workaround: pass secrets from your shell at run time: + +```bash +ANTHROPIC_API_KEY=sk-ant-... ks eval run my-spec.yaml +``` + +If the spec declares a matching `secrets: - name: ANTHROPIC_API_KEY`, the CLI forwards the local env var into the sandbox. + +## The two working patterns + +After all of the above, two patterns reliably run on Keystone today: + +### Pattern A — `type: python` with embedded agent code + +Used implicitly when the spec ships agent code via `setup.files` and runs it via `agent.type: python, binary: agent.py`. + +**Use it when:** your spec seeds inputs via `setup.files` AND doesn't need to talk to declared `services:`. + +**Pros.** Full Python deps available via `setup.commands: pip install --break-system-packages ...`. Easy iteration — edit and re-run. + +**Cons.** Spec bloats with embedded code; can't reach `services:`; no reuse between specs. + +### Pattern B — `type: snapshot` with a stdlib-only agent + +Used by `refund-aud-only`. Agent code lives in `agents//agent.py`; upload it once and reference by name from any spec. + +```bash +# upload (one-time per agent change) +pip install polarity-keystone +python - <<'PY' +import polarity_keystone as pk +ks = pk.Keystone() +snap = ks.agents.upload( + name="my-agent", + path="agents/my-agent", + entrypoint=["python3", "/agent/agent.py"], + runtime="python:3.11", +) +print(snap.id, snap.version) +PY +``` + +Spec side: + +```yaml +agent: + type: snapshot + snapshot: my-agent + env: + AGENT_INPUT: '{...}' +secrets: + - name: XAI_API_KEY +``` + +**Use it when:** your spec needs to talk to `services:`, OR you want a reusable agent across many specs. + +**Pros.** Reusable, smaller specs, can reach services by hostname. + +**Cons.** Bundle must fit ~1 MB; stdlib-only Python; `setup.files` invisible to the agent (use env vars or vendored fixtures); no auto cost tracking. + +### Quick decision tree + +``` + Does the spec need to talk to a declared service? + YES → Pattern B (snapshot, stdlib-only) + NO → Does the spec seed input data via setup.files? + YES → Pattern A (type: python with embedded agent) + NO → Either works; B if you'll reuse the agent +``` + +## Testing a scaffold + +The 8 generic scaffolds in `agents/` are **design specs, not implementations.** To validate one end-to-end: + +1. Read the scaffold's `AGENT.md` and the linked spec. +2. Build a throwaway agent in `/tmp/build//` following the scaffold. +3. Upload it via the SDK (Pattern B above) — temporary snapshot. +4. Run the spec: `XAI_API_KEY=... ks eval run specs//.yaml`. +5. If invariants fail, fix the *scaffold* or the *spec* — not the throwaway agent. The scaffold is what ships. +6. When you're done, delete the throwaway. The repo doesn't need it. + +The throwaway pattern: the bar for "this scaffold works" is "an implementation built from the scaffold's instructions can pass the spec." The implementation itself is not the artifact — the scaffold + spec are. + +## Costs of running real evals + +``` + total xAI charges per scenario $0.005 – $0.015 + typical wall time per scenario 15 – 25 seconds (mostly model latency) + total xAI in our test session ~$0.05 across ~14 experiments +``` + +All tracked on the Keystone side except snapshot-agent LLM cost (because the agent doesn't use `ks.wrap()` — its deps don't fit in the bundle). You still pay xAI / Anthropic / whoever directly; just no automatic attribution in the Keystone dashboard. + +## When you hit something new + +If you discover another behavior worth knowing, append a "## N." section here. Keep it: symptom → root cause → fix → snippet that works. Future-you and the next person will thank you. diff --git a/LICENSE b/LICENSE new file mode 100644 index 0000000..3dad226 --- /dev/null +++ b/LICENSE @@ -0,0 +1,201 @@ + Apache License + Version 2.0, January 2004 + http://www.apache.org/licenses/ + + TERMS AND CONDITIONS FOR USE, REPRODUCTION, AND DISTRIBUTION + + 1. Definitions. + + "License" shall mean the terms and conditions for use, reproduction, + and distribution as defined by Sections 1 through 9 of this document. + + "Licensor" shall mean the copyright owner or entity authorized by + the copyright owner that is granting the License. + + "Legal Entity" shall mean the union of the acting entity and all + other entities that control, are controlled by, or are under common + control with that entity. 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We also recommend that a + file or class name and description of purpose be included on the + same "printed page" as the copyright notice for easier + identification within third-party archives. + + Copyright 2026 Polarity, Inc. + + Licensed under the Apache License, Version 2.0 (the "License"); + you may not use this file except in compliance with the License. + You may obtain a copy of the License at + + http://www.apache.org/licenses/LICENSE-2.0 + + Unless required by applicable law or agreed to in writing, software + distributed under the License is distributed on an "AS IS" BASIS, + WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. + See the License for the specific language governing permissions and + limitations under the License. diff --git a/NOTICE b/NOTICE new file mode 100644 index 0000000..5f5af83 --- /dev/null +++ b/NOTICE @@ -0,0 +1,27 @@ +Promising Spec Library +Copyright 2026 Polarity, Inc. + +This product is licensed under the Apache License, Version 2.0 (see LICENSE). + +This product includes: + +- Reference Python agent (agents/stripe-refund-aud/agent.py): stdlib-only; + no third-party dependencies vendored in this repo. + +- Documentation excerpts derived from Polarity Keystone's official skill files + (.claude/skills/keystone-sdk/, .cursor/rules/keystone-sdk/, etc.) which were + written into this repo by the `ks setup` wizard. Those files are subject to + Polarity's own licensing; see the headers within those folders. + +- The starter spec at keystone/example.yaml was written into this repo by the + `ks setup spec` wizard and is subject to Polarity's licensing. + +External services this repo's specs and agents may call at runtime: + +- Polarity Keystone (https://keystone.polarity.so) +- xAI (https://api.x.ai) +- Anthropic (https://api.anthropic.com) +- OpenAI (https://api.openai.com) + +Each service's terms of use apply when the test agents call them. Users of +this repo are responsible for their own API keys and usage costs. diff --git a/README.md b/README.md index ef6d337..6a81865 100644 --- a/README.md +++ b/README.md @@ -1,95 +1,113 @@ -# Promising Spec Library +

Promising Spec Library

-``` -┌─────────────────────────────────────────────────────────────────────────┐ -│ │ -│ A personal workbench for planning, drafting, and iterating on │ -│ Keystone specs — the YAML files that drive Polarity Keystone, │ -│ the sandbox + eval platform for AI agents. │ -│ │ -│ idea → planning/ → drafts/ → specs/ → ks eval run │ -│ │ -└─────────────────────────────────────────────────────────────────────────┘ -``` +

+ + Keystone trailer + +

-> **Status** ─ living repo, expect heavy iteration. Structure, templates, and conventions will change as the library grows. +

+ A planning workspace for Polarity Keystone evals: scaffolds, specs, and a working notebook of what runs. +

-────────────────────────────────────────────────────────────────────────── +

+ License: Apache 2.0 + Status: living + Keystone v0.1.13 + 12 specs + Issues +

-## Contents +

+ Getting started · + Agents · + Specs · + Workflow · + Learnings · + Docs +

-``` - §1 Links ─ upstream docs - §2 Getting started ─ install ks, API key, first run - §3 Repo map ─ what lives where - §4 Agent catalog ─ the 9 personas - §5 Spec catalog ─ the 12 specs - §6 Agent × spec map ─ who runs what - §7 Workflow ─ idea → upload - §8 Validation ─ scripts/validate.sh - §9 Embedding media ─ images + video in markdown - §10 Best practices ─ conventions -``` +--- -────────────────────────────────────────────────────────────────────────── +## What is this? -## §1 — Links +A library for **planning, drafting, and iterating on Keystone specs**. Specs are the YAML files that drive [Polarity Keystone](https://www.polarity.so/keystone), the sandbox and eval platform for AI agents. + +This repo is the workbench. It holds: + +- **Scaffolds**: `agents//AGENT.md` files describing what each agent must do. +- **Specs**: `specs//*.yaml` files that are the acceptance tests. +- **One reference implementation**: `agents/stripe-refund-aud/agent.py`, a stdlib-only snapshot agent that proves the working Keystone shape. +- **A working notebook**: [`LEARNINGS.md`](LEARNINGS.md), the field report of what runs end-to-end and the six undocumented Keystone behaviors that bit us along the way. + +Test-only agent implementations stay **outside** the repo (built in `/tmp/build/`, uploaded as throwaway snapshots, deleted after). The artifacts that ship are the scaffold + spec pair. ``` - Keystone product → https://www.polarity.so/keystone - Polarity docs → https://docs.polarity.so/ - Spec reference → https://docs.polarity.so/keystone/specs - Examples → https://docs.polarity.so/keystone/examples - Quickstart → https://docs.polarity.so/keystone/quickstart - Concepts → https://docs.polarity.so/keystone/concepts - Agent types → https://docs.polarity.so/keystone/agents - Dashboard → https://app.paragon.run/app/keystone + idea → agents//AGENT.md → specs//.yaml → ks eval run + ↑ ↑ + describes what to build acceptance test for "done" ``` -────────────────────────────────────────────────────────────────────────── +> **Status:** living repo, expect heavy iteration. Structure, templates, and conventions will change as the library grows. +> +> **Verified status:** 6 of 9 agent scaffolds (5 scaffold-verified, 1 implemented) and 9 of 12 specs run end-to-end on Keystone today. The 3 deferred scaffolds (db-architect, devops-shell, data-pipeline) each note in their AGENT.md what infrastructure work blocks them. See [LEARNINGS.md](LEARNINGS.md) for the full picture. + +--- -## §2 — Getting started +## Links -> **You cannot run any spec in this repo without a Keystone API key.** -> The `ks` CLI talks to `https://keystone.polarity.so` for every upload, run, and trace fetch. No key, no evals. +- **Keystone product** → +- **Polarity docs** → +- **Spec reference** → +- **Examples** → +- **Quickstart** → +- **Concepts** → +- **Agent types** → +- **Dashboard** → -If you just cloned this repo, run the four steps below in order. If you use **Claude Code, Cursor, Gemini CLI, OpenCode, Codex, Windsurf,** or any other AI coding tool, the official Keystone skill files live under `.claude/skills/keystone-sdk/`, `.cursor/rules/keystone-sdk/`, `.gemini/skills/keystone-sdk/`, etc. — your AI assistant will read them and walk you through this automatically. Just say *"help me set up Keystone in this repo."* +--- + +## Getting started + +> **You cannot run any spec in this repo without a Keystone API key.** The `ks` CLI talks to `https://keystone.polarity.so` for every upload, run, and trace fetch. No key, no evals. +> +> If you use **Claude Code, Cursor, Gemini CLI, OpenCode, Codex, Windsurf,** or any other AI coding tool, the official Keystone skill files live under `.claude/skills/keystone-sdk/`, `.cursor/rules/keystone-sdk/`, `.gemini/skills/keystone-sdk/`, etc. Your AI assistant will read them and walk you through this automatically. Just say *"help me set up Keystone in this repo."* ``` - ┌─ 1 ─────────────────────────────────────────────────────────────────┐ + ┌─ 1 ──────────────────────────────────────────────────────────────────┐ │ Install the ks CLI │ │ │ - │ curl -fsSL https://ks.polarity.so/install.sh | bash │ + │ curl -fsSL https://ks.polarity.so/install.sh | bash │ │ │ - │ → drops a single Go binary at ~/.local/bin/ks │ + │ → drops a single Go binary at ~/.local/bin/ks │ │ → no runtime deps. macOS + Linux supported. │ └──────────────────────────────────────────────────────────────────────┘ - ┌─ 2 ─────────────────────────────────────────────────────────────────┐ + ┌─ 2 ──────────────────────────────────────────────────────────────────┐ │ Get a Keystone API key │ │ │ - │ → sign in at https://app.paragon.run/app/keystone/settings │ - │ → create a key (looks like ks_live_…) │ + │ → sign in at https://app.paragon.run/app/keystone/settings │ + │ → create a key (looks like ks_live_…) │ │ → NEVER paste a key into a file that gets committed │ └──────────────────────────────────────────────────────────────────────┘ - ┌─ 3 ─────────────────────────────────────────────────────────────────┐ + ┌─ 3 ──────────────────────────────────────────────────────────────────┐ │ Wire the key into this repo │ │ │ - │ ks setup api-key ← writes to ./.env (git-ignored) │ + │ ks setup api-key ← writes to ./.env (git-ignored) │ │ │ │ or: │ - │ export KEYSTONE_API_KEY=ks_live_... │ + │ export KEYSTONE_API_KEY=ks_live_... │ │ │ │ or one-shot per run: │ - │ KEYSTONE_API_KEY=ks_live_... ks eval run │ + │ KEYSTONE_API_KEY=ks_live_... ks eval run │ └──────────────────────────────────────────────────────────────────────┘ - ┌─ 4 ─────────────────────────────────────────────────────────────────┐ - │ Run the rest of ks setup (idempotent — already done in this repo) │ + ┌─ 4 ──────────────────────────────────────────────────────────────────┐ + │ Run the rest of ks setup (idempotent, already done in this repo) │ │ │ - │ ks setup → skill files + MCP + starter spec │ - │ ks setup doctor → verify auth + server reachability │ + │ ks setup → skill files + MCP + starter spec │ + │ ks setup doctor → verify auth + server reachability │ │ ks eval run specs/general/hello-world.yaml │ │ │ │ → trace + score appear in the Keystone dashboard │ @@ -98,134 +116,216 @@ If you just cloned this repo, run the four steps below in order. If you use **Cl ### Other secrets your agents will need -Add these in the Keystone Dashboard (`app.paragon.run/app/keystone/settings`) once — every sandbox you boot afterwards picks them up automatically, no spec edits required: +Add these in the Keystone Dashboard (`app.paragon.run/app/keystone/settings`) once. Every sandbox you boot afterwards picks them up automatically, no spec edits required: ``` ANTHROPIC_API_KEY → for Claude-backed agents OPENAI_API_KEY → for OpenAI-backed agents + XAI_API_KEY → for Grok-backed agents (we verified with Grok-4) ``` -────────────────────────────────────────────────────────────────────────── +--- -## §3 — Repo map +## Run your first real eval + +`hello-world` runs out of the box (it's a `cli` agent, no upload needed). The next step is running a spec that actually invokes an LLM. The repo's reference implementation is `agents/stripe-refund-aud/`; it's the only agent with committed code and is the recipe to follow for any other agent you build. + +``` + ┌─ A. Install the polarity-keystone Python SDK ────────────────┐ + │ │ + │ pip install polarity-keystone │ + │ │ + │ → needed locally to call ks.agents.upload() │ + │ → the snapshot bundle itself is stdlib-only │ + └──────────────────────────────────────────────────────────────┘ + + ┌─ B. Add XAI_API_KEY ─────────────────────────────────────────┐ + │ │ + │ Either to the Dashboard: │ + │ https://app.paragon.run/app/keystone/settings │ + │ │ + │ Or pass per-run from your shell: │ + │ export XAI_API_KEY=xai-... │ + │ │ + │ The agent calls Grok-4 by default (any xAI model the │ + │ proxy supports). To use a different provider, change │ + │ the agent.py endpoint + the secret name. │ + └──────────────────────────────────────────────────────────────┘ + + ┌─ C. Upload the snapshot ─────────────────────────────────────┐ + │ │ + │ python - <<'PY' │ + │ import polarity_keystone as pk │ + │ ks = pk.Keystone() │ + │ snap = ks.agents.upload( │ + │ name="stripe-refund-aud", │ + │ path="agents/stripe-refund-aud", │ + │ entrypoint=["python3", "/agent/agent.py"], │ + │ runtime="python:3.11", │ + │ ) │ + │ print(snap.id, snap.version) │ + │ PY │ + │ │ + │ → prints snap_ and version 1 │ + └──────────────────────────────────────────────────────────────┘ + + ┌─ D. Run the eval ────────────────────────────────────────────┐ + │ │ + │ XAI_API_KEY=xai-... \ │ + │ ks eval run specs/finance-agents/refund-aud-only.yaml │ + │ │ + │ → scoring runs against a Stripe-mock service │ + │ → trace + score appear in the dashboard at │ + │ https://app.paragon.run/app/keystone/experiments │ + └──────────────────────────────────────────────────────────────┘ +``` + +To run any other spec listed as `scaffold-verified` in the catalog, you'll need to **build the agent from its scaffold first** (no agent code ships for those by design; see the AGENT.md "Paste this to your AI coder" prompt). Then upload it the same way as step C, swapping the name and path. Acceptance is the spec the scaffold links to. + +--- + +## Creating specs from natural language + +You don't have to write spec YAML by hand. Hand a plain-English description of what you want to test to your AI coding tool (Claude Code, Cursor, etc.) and let it draft the spec for you. The skill files under `.claude/`, `.cursor/`, etc. teach those tools the canonical Keystone spec shape, so the output is usable as-is. + +

+ Screenshot: a natural-language prompt becomes a spec yaml file +

+ +Above: a single prompt becomes a complete spec. The same loop works for any task you want to evaluate. + +Walkthrough: + +

+ + YAML customization walkthrough + +

+ +Once your AI tool produces the YAML, drop it in `drafts/.yaml`, run `bash scripts/validate.sh`, and promote to `specs//` when stable. + +--- + +## Repo structure ``` . - ├── agents/ agent personas referenced by specs + ├── agents/ agent scaffolds (AGENT.md per persona) │ ├── _template.md - │ └── /AGENT.md × 9 ← stripe-refund-aud carries real Python code too + │ ├── stripe-refund-aud/ real Python agent (reference implementation) + │ └── /AGENT.md × 8 scaffolds only │ - ├── specs/ finalized specs, organized by domain + ├── specs/ acceptance specs, organized by domain │ ├── _template.yaml - │ ├── general/ hello-world, summarize-changelog - │ ├── code-agents/ bugfix-linked-list, refactor-god-class, language-matrix-csv - │ ├── web-agents/ rest-api-todo, webhook-receiver-hmac - │ ├── data-agents/ postgres-ecommerce, enterprise-reconciliation - │ ├── security-agents/ security-review - │ ├── devops-agents/ dockerize-flask-app - │ └── finance-agents/ refund-aud-only ← canonical reference spec - │ - ├── planning/ markdown notes — one per spec idea + AGENTS.md - │ ├── _template.md - │ └── .md × 11 + │ ├── general/ hello-world (smoke), summarize-changelog + │ ├── code-agents/ 3 specs + │ ├── web-agents/ 2 specs + │ ├── data-agents/ 2 specs + │ ├── security-agents/ 1 spec + │ ├── devops-agents/ 1 spec + │ └── finance-agents/ refund-aud-only (canonical reference) │ + ├── planning/ one markdown per spec + AGENTS.md design doc ├── drafts/ WIP YAML before promotion into specs// + ├── assets/ images, GIFs, screenshots, video thumbnails │ ├── docs/ local notes & best practices - │ ├── spec-anatomy.md concepts.md best-practices.md - │ ├── workflow.md glossary.md agents.md - │ ├── agent-types.md examples-mapping.md - │ - ├── assets/ images, GIFs, screenshots, video thumbnails + │ ├── spec-anatomy.md concepts.md best-practices.md + │ ├── workflow.md glossary.md agents.md + │ └── agent-types.md examples-mapping.md │ ├── scripts/ │ ├── validate.sh yamllint + lint-spec.py - │ ├── lint-spec.py enforces required fields, kebab-case ids, - │ │ positive weights, agent slug references - │ └── catalog.py regenerates §4 / §5 catalog tables + │ ├── lint-spec.py required fields, kebab ids, positive weights, + │ │ agent slug references + │ └── catalog.py regenerates the agent + spec catalog tables │ ├── keystone/ - │ └── example.yaml ← canonical starter dropped by `ks setup spec` + │ └── example.yaml starter dropped by `ks setup spec` + │ + ├── .claude/ .cursor/ .gemini/ .opencode/ .codex/ .windsurf/ .agents/ + │ ks-managed skill files for every AI coder │ - └── .claude/ .cursor/ .gemini/ .opencode/ .codex/ .windsurf/ .agents/ - ks-managed skill files for every AI coder + ├── .github/ community files + automation + │ ├── CONTRIBUTING.md how to contribute (dev setup, PR workflow) + │ ├── SECURITY.md how to report vulnerabilities + │ ├── CODE_OF_CONDUCT.md Contributor Covenant 2.1 + │ ├── CODEOWNERS auto-assigns reviewers per path + │ ├── PULL_REQUEST_TEMPLATE.md fills the PR description form + │ ├── ISSUE_TEMPLATE/ bug + scaffold/spec proposal forms + │ └── workflows/ + │ └── validate.yml runs scripts/validate.sh on every PR + │ + ├── LEARNINGS.md field notebook: working patterns + Keystone gotchas + ├── CHANGELOG.md what landed when + ├── NOTICE Apache 2.0 attribution + third-party notes + ├── LICENSE Apache 2.0 + └── README.md this file ``` -────────────────────────────────────────────────────────────────────────── - -## §4 — Agent catalog +--- -Nine agent personas. Each lives at [`agents//AGENT.md`](agents/README.md). Specs reference them via `agent.snapshot: `. +## Agent catalog -``` - ╶─────────────────────────────────────────────────────────────────────╴ - - # slug specialty model - ────────────────────────────────────────────────────────────────────── - 1 general-coder generalist coding sonnet-4-6 - 2 bug-fixer diagnose + minimal patches sonnet-4-6 - 3 db-architect Postgres schema, seeds, SQL sonnet-4-6 - 4 security-auditor vulnerability detection sonnet-4-6 - 5 web-builder HTTP servers, REST APIs sonnet-4-6 - 6 data-pipeline ETL across services sonnet-4-6 - 7 devops-shell Dockerfiles, infra-as-code sonnet-4-6 - 8 research-summarizer read docs, write summaries haiku-4-5 - 9 stripe-refund-aud ▸ refund Stripe charges (AUD) sonnet-4-6 - ↑ specific-function agent w/ Python code - - ╶─────────────────────────────────────────────────────────────────────╴ -``` +Eight scaffolds (markdown only) plus one reference implementation. Specs reference an agent by `agent.snapshot: `. See [`agents/README.md`](agents/README.md) for the scaffold-to-runnable flow. -▸ See [`docs/agents.md`](docs/agents.md) for when to use each. -▸ See [`planning/AGENTS.md`](planning/AGENTS.md) for the design rationale. +| # | Slug | Specialty | Status | Model | +|---|------|-----------|--------|-------| +| 1 | [`general-coder`](agents/general-coder/AGENT.md) | generalist coding | scaffold-verified | `grok-4-fast` | +| 2 | [`bug-fixer`](agents/bug-fixer/AGENT.md) | diagnose + minimal patches | scaffold-verified | `grok-4-fast` | +| 3 | [`db-architect`](agents/db-architect/AGENT.md) | Postgres schema, seeds, SQL | scaffold-deferred | `claude-sonnet-4-6` | +| 4 | [`security-auditor`](agents/security-auditor/AGENT.md) | vulnerability detection | scaffold-verified | `grok-4` | +| 5 | [`web-builder`](agents/web-builder/AGENT.md) | HTTP servers, REST APIs | scaffold-verified | `grok-4-fast` | +| 6 | [`data-pipeline`](agents/data-pipeline/AGENT.md) | ETL across services | scaffold-deferred | `claude-sonnet-4-6` | +| 7 | [`devops-shell`](agents/devops-shell/AGENT.md) | Dockerfiles, infra-as-code | scaffold-deferred | `claude-sonnet-4-6` | +| 8 | [`research-summarizer`](agents/research-summarizer/AGENT.md) | read docs, write summaries | scaffold-verified | `grok-4` | +| 9 | [`stripe-refund-aud`](agents/stripe-refund-aud/AGENT.md) | refund Stripe charges (AUD only) | **implemented** | `grok-4` | -────────────────────────────────────────────────────────────────────────── +--- -## §5 — Spec catalog +## Spec catalog -Twelve specs spanning all 9 agents and 7 domains. Each is modeled on a canonical example from — see [`docs/examples-mapping.md`](docs/examples-mapping.md) for the lineage. +Twelve specs spanning all 9 agents and 7 domains. Each is modeled on a canonical example from . See [`docs/examples-mapping.md`](docs/examples-mapping.md) for the lineage. The **Run** column shows which specs we've actually executed end-to-end on Keystone. See [LEARNINGS.md](LEARNINGS.md) for what was learned in the process. -``` - # spec domain agent complexity - ───────────────────────────────────────────────────────────────────────────────────────── - 0 hello-world general (cli) smoke - 1 summarize-changelog general research-summarizer simple - 2 bugfix-linked-list code-agents bug-fixer medium - 3 refactor-god-class code-agents general-coder medium - 4 language-matrix-csv code-agents general-coder medium - 5 rest-api-todo web-agents web-builder medium - 6 webhook-receiver-hmac web-agents web-builder medium - 7 postgres-ecommerce data-agents db-architect medium - 8 security-review security-agents security-auditor medium - 9 dockerize-flask-app devops-agents devops-shell medium - 10 enterprise-reconciliation data-agents data-pipeline complex - ★ refund-aud-only finance-agents stripe-refund-aud reference -``` +| # | Spec | Domain | Agent | Complexity | Run | +|---|------|--------|-------|------------|-----| +| 0 | [`hello-world`](specs/general/hello-world.yaml) | general | (cli) | smoke | ✓ verified | +| 1 | [`summarize-changelog`](specs/general/summarize-changelog.yaml) | general | [`research-summarizer`](agents/research-summarizer/AGENT.md) | simple | scaffold-verified | +| 2 | [`bugfix-linked-list`](specs/code-agents/bugfix-linked-list.yaml) | code-agents | [`bug-fixer`](agents/bug-fixer/AGENT.md) | medium | scaffold-verified | +| 3 | [`refactor-god-class`](specs/code-agents/refactor-god-class.yaml) | code-agents | [`general-coder`](agents/general-coder/AGENT.md) | medium | scaffold-verified (style invariant flaky) | +| 4 | [`language-matrix-csv`](specs/code-agents/language-matrix-csv.yaml) | code-agents | [`general-coder`](agents/general-coder/AGENT.md) | medium | scaffold-verified (Python scenario) | +| 5 | [`rest-api-todo`](specs/web-agents/rest-api-todo.yaml) | web-agents | [`web-builder`](agents/web-builder/AGENT.md) | medium | scaffold-verified | +| 6 | [`webhook-receiver-hmac`](specs/web-agents/webhook-receiver-hmac.yaml) | web-agents | [`web-builder`](agents/web-builder/AGENT.md) | medium | scaffold-verified | +| 7 | [`postgres-ecommerce`](specs/data-agents/postgres-ecommerce.yaml) | data-agents | [`db-architect`](agents/db-architect/AGENT.md) | medium | deferred | +| 8 | [`security-review`](specs/security-agents/security-review.yaml) | security-agents | [`security-auditor`](agents/security-auditor/AGENT.md) | medium | scaffold-verified | +| 9 | [`dockerize-flask-app`](specs/devops-agents/dockerize-flask-app.yaml) | devops-agents | [`devops-shell`](agents/devops-shell/AGENT.md) | medium | deferred | +| 10 | [`enterprise-reconciliation`](specs/data-agents/enterprise-reconciliation.yaml) | data-agents | [`data-pipeline`](agents/data-pipeline/AGENT.md) | complex | deferred | +| ★ | [`refund-aud-only`](specs/finance-agents/refund-aud-only.yaml) | finance-agents | [`stripe-refund-aud`](agents/stripe-refund-aud/AGENT.md) | reference | ✓ flow proven | -▸ Status legend (lives in each planning doc's frontmatter): - `planned` → `drafted` → `validated` → `uploaded` +**Run column legend:** -▸ Regenerate this table with: `python3 scripts/catalog.py` +- `✓ verified`: runs end-to-end on Keystone today. +- `scaffold-verified`: scaffold + spec proven realizable. A throwaway implementation built from the scaffold ran clean on Keystone. Implementation not committed (test artifacts stay outside the repo). +- `deferred`: scaffold not yet validated. Needs infrastructure (Postgres service, Docker, multi-service) that hits Keystone's snapshot+services constraints, or is the complex showcase. Each AGENT.md notes what's needed. +- `✓ flow proven`: Keystone upload + extraction + service network all confirmed working with the committed reference implementation. See [LEARNINGS.md](LEARNINGS.md). -────────────────────────────────────────────────────────────────────────── +--- -## §6 — Agent × spec map +## Agent × spec map -``` - general-coder ──▶ refactor-god-class, language-matrix-csv - bug-fixer ──▶ bugfix-linked-list - db-architect ──▶ postgres-ecommerce - security-auditor ──▶ security-review - web-builder ──▶ rest-api-todo, webhook-receiver-hmac - data-pipeline ──▶ enterprise-reconciliation - devops-shell ──▶ dockerize-flask-app - research-summarizer ──▶ summarize-changelog - stripe-refund-aud ──▶ refund-aud-only ← canonical reference -``` +- [`general-coder`](agents/general-coder/AGENT.md) → [`refactor-god-class`](specs/code-agents/refactor-god-class.yaml), [`language-matrix-csv`](specs/code-agents/language-matrix-csv.yaml) +- [`bug-fixer`](agents/bug-fixer/AGENT.md) → [`bugfix-linked-list`](specs/code-agents/bugfix-linked-list.yaml) +- [`db-architect`](agents/db-architect/AGENT.md) → [`postgres-ecommerce`](specs/data-agents/postgres-ecommerce.yaml) +- [`security-auditor`](agents/security-auditor/AGENT.md) → [`security-review`](specs/security-agents/security-review.yaml) +- [`web-builder`](agents/web-builder/AGENT.md) → [`rest-api-todo`](specs/web-agents/rest-api-todo.yaml), [`webhook-receiver-hmac`](specs/web-agents/webhook-receiver-hmac.yaml) +- [`data-pipeline`](agents/data-pipeline/AGENT.md) → [`enterprise-reconciliation`](specs/data-agents/enterprise-reconciliation.yaml) +- [`devops-shell`](agents/devops-shell/AGENT.md) → [`dockerize-flask-app`](specs/devops-agents/dockerize-flask-app.yaml) +- [`research-summarizer`](agents/research-summarizer/AGENT.md) → [`summarize-changelog`](specs/general/summarize-changelog.yaml) +- [`stripe-refund-aud`](agents/stripe-refund-aud/AGENT.md) → [`refund-aud-only`](specs/finance-agents/refund-aud-only.yaml) (canonical reference) -────────────────────────────────────────────────────────────────────────── +--- -## §7 — Workflow +## Workflow ``` idea @@ -250,11 +350,11 @@ Twelve specs spanning all 9 agents and 7 domains. Each is modeled on a canonical ks eval run ← upload, create experiment, run, score ``` -▸ Long version: [`docs/workflow.md`](docs/workflow.md). +Long version: [`docs/workflow.md`](docs/workflow.md). Working patterns + Keystone gotchas: [`LEARNINGS.md`](LEARNINGS.md). -────────────────────────────────────────────────────────────────────────── +--- -## §8 — Validation +## Validation ```bash bash scripts/validate.sh @@ -276,37 +376,97 @@ The script checks every file under `specs/` and `drafts/`: ▸ agent.snapshot references an existing agents// folder ``` -Regenerate the catalogs in §4 / §5: +Regenerate the agent + spec catalogs: ```bash python3 scripts/catalog.py ``` -────────────────────────────────────────────────────────────────────────── +--- -## §9 — Embedding media +## Embedding media -Drop assets into `assets/` and embed inline. Images: +Drop files into `assets/`, then embed them inline. + +### Images ```markdown -![diagram](assets/diagram.png) +![alt text describing the image](assets/workflow-diagram.png) ``` -Videos — drag-and-drop into a GitHub issue or PR comment to get a CDN URL, then paste the URL into the markdown (GitHub renders it as a player). Or HTML: +For sizing, use HTML: ```html - +... ``` -────────────────────────────────────────────────────────────────────────── +### Videos / screen recordings -## §10 — Best practices +Two paths, depending on file size: -See [`docs/best-practices.md`](docs/best-practices.md). Conventions evolve with the library. +1. **Drag-and-drop into a GitHub issue or PR comment**. GitHub uploads to its CDN and gives you a `user-images.githubusercontent.com/...` URL. Paste that URL into the markdown. GitHub renders it as an inline player. Works for `.mp4`, `.mov`, `.webm`. ~10 MB cap. +2. **Self-host in `assets/`**: + ```html + + ``` -``` - ╶─────────────────────────────────────────────────────────────────────╴ - This README is regenerated by hand for now. The §4 / §5 catalogs - can be regenerated via `python3 scripts/catalog.py`. - ╶─────────────────────────────────────────────────────────────────────╴ -``` +### Want me to embed something? + +Drop the file in `assets/`, then tell me **(1) which file**, **(2) where in the README it should sit**, and **(3) a one-line caption**. + +--- + +## Documentation + +- **[LEARNINGS.md](LEARNINGS.md)**: field notebook. Working patterns, six undocumented Keystone behaviors, and the scaffold-validation loop. Read this when something breaks. +- **[Spec anatomy](docs/spec-anatomy.md)**: field-by-field walkthrough of a Keystone spec. +- **[Concepts](docs/concepts.md)**: sandbox, invariant, experiment, scorer, etc. +- **[Agent types](docs/agent-types.md)**: `snapshot` / `cli` / `python` / `image` / `http` / `paragon`. +- **[Agents overview](docs/agents.md)**: when to use each persona. +- **[Workflow](docs/workflow.md)**: long version of the workflow above. +- **[Best practices](docs/best-practices.md)**: repo conventions. +- **[Glossary](docs/glossary.md)**: terms. +- **[Examples mapping](docs/examples-mapping.md)**: every spec mapped to its upstream docs example. + +--- + +## Status + +**Living repo, alpha.** The structure, scaffolds, and specs are stable enough to use as a starting point, but expect iteration. Concrete state: + +- 6 of 9 agent scaffolds verified or implemented (5 scaffold-verified, 1 reference implementation). +- 9 of 12 specs verified end-to-end (1 baseline, 7 scaffold-verified, 1 reference flow-proven). +- 3 scaffolds deferred, each documented in its own AGENT.md. +- 6 undocumented Keystone behaviors captured in [LEARNINGS.md](LEARNINGS.md). + +--- + +## Community + +- **Issues & feature requests**: [GitHub Issues](https://github.com/Polarityinc/Promising-Spec-Library/issues) +- **Polarity docs**: +- **Keystone dashboard**: +- **Contact**: [support@polarity.so](mailto:support@polarity.so) + +--- + +## Contributing + +Contributions welcome: bug reports, docs, new scaffolds, new specs, validation of the deferred scaffolds. Full instructions live in [CONTRIBUTING.md](.github/CONTRIBUTING.md). Quick version: + +1. Read [LEARNINGS.md](LEARNINGS.md) for what works and what doesn't. +2. Open an issue describing the scaffold or spec you want to add. +3. Copy [`agents/_template.md`](agents/_template.md) for a new agent, or [`specs/_template.yaml`](specs/_template.yaml) for a new spec. +4. Validate locally with `bash scripts/validate.sh`. +5. If you're adding an agent implementation, **keep the test agent outside the repo** (build under `/tmp/build//`). The repo ships scaffolds, specs, and one reference implementation. Test artifacts are throwaway. +6. Open a PR. + +By contributing, you agree your contributions are licensed under the [Apache License 2.0](LICENSE). All participants must follow the [Code of Conduct](.github/CODE_OF_CONDUCT.md). Security issues should go via [SECURITY.md](.github/SECURITY.md), not public issues. + +--- + +## License + +Promising Spec Library is licensed under the [Apache License 2.0](LICENSE). + +Copyright © 2026 [Polarity, Inc.](https://polarity.so) diff --git a/agents/README.md b/agents/README.md index 62bf200..9fa0208 100644 --- a/agents/README.md +++ b/agents/README.md @@ -1,6 +1,8 @@ # Agents -This folder catalogs the agent personas referenced by specs in `specs/`. Each agent is described in markdown only — the actual agent code lives elsewhere and is uploaded to Keystone via `ks.agents.upload()`. +Each subfolder is a **scaffold** for an agent: a description of what the agent should do, what inputs it gets, what outputs it must produce, and which spec is its acceptance test. There is **no agent code** in most of these folders — the intent is that whoever clones this repo hands the scaffold to their AI coding tool (Claude Code, Cursor, Codex, etc.) and has it generate the implementation. + +The one exception is [`stripe-refund-aud/`](stripe-refund-aud/), which includes a real `agent.py`. Treat it as the canonical reference for the wrapping/IO pattern your generated code should follow. A spec references an agent by snapshot name: @@ -13,26 +15,50 @@ agent: ## Catalog -| # | Slug | Purpose | Specs | -|---|-----------------------------------------------------|-----------------------------------------------------|-------| -| 1 | [`general-coder`](general-coder/AGENT.md) | Generalist coding agent | 2 | -| 2 | [`bug-fixer`](bug-fixer/AGENT.md) | Diagnose and patch existing code | 1 | -| 3 | [`db-architect`](db-architect/AGENT.md) | Postgres schema, seeds, analytical SQL | 1 | -| 4 | [`security-auditor`](security-auditor/AGENT.md) | Vulnerability review with structured findings | 1 | -| 5 | [`web-builder`](web-builder/AGENT.md) | HTTP servers, REST APIs, request handlers | 2 | -| 6 | [`data-pipeline`](data-pipeline/AGENT.md) | ETL, reconciliation, multi-source joins | 1 | -| 7 | [`devops-shell`](devops-shell/AGENT.md) | Dockerfiles, CI configs, system orchestration | 1 | -| 8 | [`research-summarizer`](research-summarizer/AGENT.md) | Read docs/changelogs, write structured summaries | 1 | +| # | Slug | Purpose | Status | Specs | +|---|-------------------------------------------------------|-----------------------------------------------------|-------------|-------| +| 1 | [`general-coder`](general-coder/AGENT.md) | Generalist coding agent | scaffold | 2 | +| 2 | [`bug-fixer`](bug-fixer/AGENT.md) | Diagnose and patch existing code | scaffold | 1 | +| 3 | [`db-architect`](db-architect/AGENT.md) | Postgres schema, seeds, analytical SQL | scaffold | 1 | +| 4 | [`security-auditor`](security-auditor/AGENT.md) | Vulnerability review with structured findings | scaffold | 1 | +| 5 | [`web-builder`](web-builder/AGENT.md) | HTTP servers, REST APIs, request handlers | scaffold | 2 | +| 6 | [`data-pipeline`](data-pipeline/AGENT.md) | ETL, reconciliation, multi-source joins | scaffold | 1 | +| 7 | [`devops-shell`](devops-shell/AGENT.md) | Dockerfiles, CI configs, system orchestration | scaffold | 1 | +| 8 | [`research-summarizer`](research-summarizer/AGENT.md) | Read docs/changelogs, write structured summaries | scaffold | 1 | +| 9 | [`stripe-refund-aud`](stripe-refund-aud/AGENT.md) | Refund Stripe charges, AUD only | implemented | 1 | + +## How a scaffold becomes a real agent + +``` + agents//AGENT.md your AI coder reads this + │ + │ plus the linked spec yaml as the acceptance test + │ + ▼ + agents//agent.py + requirements.txt <-- generated + │ + ▼ + ks setup snapshot packages + uploads to Keystone + │ + ▼ + ks eval run specs//.yaml runs against your snapshot +``` + +Each scaffold's `AGENT.md` includes a **"Paste this to your AI coder"** block — a ready-to-use prompt you can drop into Claude Code, Cursor, etc. The acceptance spec referenced inside is what the AI coder will be evaluated against. ## Adding a new agent 1. Copy [`_template.md`](./_template.md) to `agents//AGENT.md`. -2. Fill in purpose, system prompt, tools, and model. -3. Reference it from a spec using `agent.snapshot: `. -4. Re-run `bash scripts/validate.sh` — `lint-spec.py` will warn if a spec references an agent slug that has no folder here. +2. Fill in purpose, requirements, inputs, outputs, acceptance criteria. +3. Reference it from a spec via `agent.snapshot: `. +4. Re-run `bash scripts/validate.sh` — `lint-spec.py` warns if a spec references a slug that has no folder here. ## Conventions - **Slug** is kebab-case, matches the folder name and the `snapshot:` value used in specs. - **One agent, one purpose.** If two specs need meaningfully different behaviour, prefer two agents. -- **Status** in frontmatter: `drafted` (planned here, not yet uploaded) or `uploaded` (live in Keystone). +- **Status** in frontmatter: + - `scaffold` — description only, no code in the folder yet + - `implemented` — has `agent.py` (or equivalent) and `requirements.txt` + - `uploaded` — has been pushed to Keystone via `ks setup snapshot` +- **Reference implementation**: always link back to `agents/stripe-refund-aud/agent.py` so generated agents follow the same `ks.wrap()` + `/workspace` IO pattern. diff --git a/agents/_template.md b/agents/_template.md index 0dfdb73..3fe20a3 100644 --- a/agents/_template.md +++ b/agents/_template.md @@ -2,38 +2,83 @@ slug: my-agent snapshot: my-agent model: claude-sonnet-4-6 -status: drafted +status: scaffold # scaffold (description only) | implemented (code in folder) --- # My Agent +> **Scaffold.** This folder describes what the agent should do — not how. +> There is no `agent.py` here. To run the acceptance spec, hand this file +> (plus the linked spec) to your AI coding tool and have it implement the +> agent in your stack of choice. +> Reference implementation pattern: [`agents/stripe-refund-aud/`](../stripe-refund-aud/). + ## Purpose One paragraph: what this agent specializes in, what kinds of tasks it owns, and why it deserves to be its own persona instead of a variant of an existing one. -## System prompt -``` -You are . Your job is to . +## What this agent must do +- (testable behavior 1) +- (testable behavior 2) +- (testable behavior 3) -Constraints: -- -- +## Inputs at runtime +- `/workspace/` — describe what's there at boot. +- env vars: `` (where set in `spec.agent.env`). +- services: `` (where defined in `spec.services`). -Output expectations: -- -``` +## Outputs the agent must produce +- `/workspace/` — what the agent must write. +- side effects: e.g. row in DB, HTTP call to service, etc. -## Tools +## Acceptance criteria +The agent is "done" when this spec passes via `ks eval run`: +- [`specs//.yaml`](../../specs//.yaml) + +## Tools the agent will need - bash - file_read - file_write -- (any others — http_get, sql_exec, etc.) +- (any others — psql, docker, curl, etc.) ## Model - Default: `claude-sonnet-4-6` - Reasoning: -## Specs that use this agent -- (none yet) +## How to build this agent + +1. Use [`agents/stripe-refund-aud/agent.py`](../stripe-refund-aud/agent.py) as the reference pattern. +2. Drop your implementation in this folder (`agents//`). +3. Package + upload: + ```bash + ks setup snapshot + ``` +4. Run the acceptance spec: + ```bash + ks eval run specs//.yaml + ``` + +### Paste this to your AI coder +``` +Build the agent described in agents//AGENT.md. + +Acceptance: specs//.yaml must pass via `ks eval run`. + +Pattern: mirror agents/stripe-refund-aud/agent.py — wrap LLM client +with polarity_keystone.Keystone().wrap(); read/write /workspace/; +enforce hard constraints in code, not in the prompt. +``` + +## System prompt (starting point — refine as you implement) +``` +You are . Your job is to . + +Constraints: +- +- + +Output expectations: +- +``` ## Notes Pitfalls, intended task shape, regression risks, things future-you should know. diff --git a/agents/bug-fixer/AGENT.md b/agents/bug-fixer/AGENT.md index 1dc99e3..6dbb3a1 100644 --- a/agents/bug-fixer/AGENT.md +++ b/agents/bug-fixer/AGENT.md @@ -1,16 +1,85 @@ --- slug: bug-fixer snapshot: bug-fixer -model: claude-sonnet-4-6 -status: drafted +model: grok-4-fast +status: scaffold-verified --- # Bug Fixer +> **Scaffold (verified once).** No `agent.py` lives here — test agents +> stay outside the repo. The scaffold describes what to build; the linked +> [acceptance spec](../../specs/code-agents/bugfix-linked-list.yaml) defines "done." +> +> A throwaway type-python implementation following this scaffold ran clean +> on Keystone (2026-05-13): patched `linked_list.py` in a single attempt, +> `tests_pass` and `test_file_unchanged` both PASS, composite 1.0, ~27s +> wall time, grok-4-fast. +> +> Reference implementation pattern: [`agents/stripe-refund-aud/`](../stripe-refund-aud/). + ## Purpose Specialized for diagnosing failing code and applying minimal patches. Reads test output, identifies the root cause, fixes only what is broken. Designed for scenarios where the test suite is the ground truth and the agent must not modify it. -## System prompt +## What this agent must do +- Run the failing test suite first to surface the real errors. +- Read the source files implicated by the failures. +- Form a hypothesis and apply the smallest patch that makes tests pass. +- Never modify test files — the harness verifies their SHA256 hash. +- Never add dependencies the spec didn't install. + +## Inputs at runtime +- `/workspace/*.py` (or equivalent) — code under repair, seeded via `spec.setup.files`. +- `/workspace/test_*.py` — the test suite. Treat as read-only. +- `/workspace/.keystone/test_file_initial_hash` — the SHA256 the harness will check. + +## Outputs the agent must produce +- Patched source files in `/workspace/`. `pytest` (or the spec's test runner) exits 0. +- No changes to any test file. The hash check is a hard gate. + +## Acceptance criteria +The agent is "done" when this spec passes via `ks eval run`: +- [`specs/code-agents/bugfix-linked-list.yaml`](../../specs/code-agents/bugfix-linked-list.yaml) + +The spec uses 5 replicas; aim for >80% pass rate across replicas. + +## Tools the agent will need +- bash (run pytest, sha256sum) +- file_read +- file_write + +## Model +- Default: `claude-sonnet-4-6` +- Reasoning: needs strong reading + reasoning; bug fixes punish overconfident edits. + +## How to build this agent + +1. Use [`agents/stripe-refund-aud/agent.py`](../stripe-refund-aud/agent.py) as the reference pattern. +2. Drop your implementation in this folder (`agents/bug-fixer/`). +3. Package + upload: + ```bash + ks setup snapshot + ``` +4. Run the acceptance spec: + ```bash + ks eval run specs/code-agents/bugfix-linked-list.yaml + ``` + +### Paste this to your AI coder +``` +Build the agent described in agents/bug-fixer/AGENT.md. + +Acceptance: specs/code-agents/bugfix-linked-list.yaml must pass via +`ks eval run`. The spec hash-checks test files, so ANY modification +to test_linked_list.py is an automatic fail. + +Pattern: mirror agents/stripe-refund-aud/agent.py — stdlib-only +Python with urllib for the LLM call. polarity-keystone is too big +to vendor in a snapshot bundle (see LEARNINGS.md §2), so don't try +to import it. Read /workspace/ files; produce minimal patches. +``` + +## System prompt (starting point — refine as you implement) ``` You are a careful debugging engineer. @@ -25,25 +94,8 @@ Constraints: - NEVER modify test files. The harness verifies their hash. - Do not refactor beyond what the bug requires. - Do not add new dependencies unless the spec installs them. - -Output expectations: -- Tests pass. -- Test files unchanged (verifiable by hash). -- Source diffs are minimal. ``` -## Tools -- bash -- file_read -- file_write - -## Model -- Default: `claude-sonnet-4-6` -- Reasoning: needs strong reading + reasoning; bug fixes punish overconfident edits. - -## Specs that use this agent -- `specs/code-agents/bugfix-linked-list.yaml` - ## Notes -- Specs paired with this agent typically include a `test_file_unchanged` invariant gating on a SHA256 hash check. Agent must respect it. +- Specs paired with this agent typically include a `test_file_unchanged` invariant gating on a SHA256 hash check. - If the test suite seeds randomness, mention the seed in the patch reasoning so changes survive replicas. diff --git a/agents/data-pipeline/AGENT.md b/agents/data-pipeline/AGENT.md index 4f5319b..161905e 100644 --- a/agents/data-pipeline/AGENT.md +++ b/agents/data-pipeline/AGENT.md @@ -2,15 +2,96 @@ slug: data-pipeline snapshot: data-pipeline model: claude-sonnet-4-6 -status: drafted +status: scaffold-deferred --- +> **Validation deferred.** The complex showcase — 3 services (Postgres, +> MailHog SMTP, http_mock), a drift fixture, a matrix, audit + forbidden +> rules. Validation requires either a snapshot agent with pip-installed +> SDKs (precluded by the bundle size cap), or a `type: image` agent. +> Deferred until the simpler scaffolds settle. + + # Data Pipeline +> **Scaffold.** This folder describes what the agent should do — not how. +> There is no `agent.py` here. To run the acceptance spec, hand this file +> (plus the linked spec) to your AI coding tool and have it implement the +> agent in your stack of choice. +> Reference implementation pattern: [`agents/stripe-refund-aud/`](../stripe-refund-aud/). + ## Purpose Owns multi-source data work: reconciliations, ETL, joins across services. Designed for scenarios with multiple backing services (DB + SMTP + HTTP mocks) where the agent must read state from one place, transform it, and write to another while staying inside an audited boundary. -## System prompt +## What this agent must do +- Survey the data sources the spec exposes (services, fixture tables, mocked endpoints). +- Identify the transformation: what differs between source and target. +- Write idempotent code that reconciles the difference. +- Log every change to a reconciliation log table (or equivalent artifact). +- Emit summary artifacts that the invariants will check (email, file, DB row). +- Honor every `forbidden:` rule — write outside the allowlist, leak a secret, or make an unauthorized HTTP call and the run fails server-side. + +## Inputs at runtime +- Multiple services: typically a `db` (Postgres), an `smtp` (MailHog), and one or more `http_mock` services. +- Service hostnames inside the sandbox match `spec.services[].name` (e.g. `db:5432`, `smtp:1025`). +- Secrets injected via `agent.env` (e.g. `DATABASE_URL`, `SMTP_HOST`). +- Fixture-seeded tables already populated when the agent starts. + +## Outputs the agent must produce +- Mutations in the target service (e.g. `customers_a` rows updated to match `customers_b`). +- Append-only log rows in the reconciliation table. +- A summary email (or equivalent side-effect the spec asserts on). +- Zero writes outside the allowlist. + +## Acceptance criteria +The agent is "done" when this spec passes via `ks eval run`: +- [`specs/data-agents/enterprise-reconciliation.yaml`](../../specs/data-agents/enterprise-reconciliation.yaml) + +This is the complex showcase spec — multi-service, drift fixture, `forbidden:` rules, audit logging, matrix runs. + +## Tools the agent will need +- bash +- file_read +- file_write +- psql +- curl (or smtplib for email) + +## Model +- Default: `claude-sonnet-4-6` +- Reasoning: needs to coordinate multiple services; benefits from careful planning. + +## How to build this agent + +1. Use [`agents/stripe-refund-aud/agent.py`](../stripe-refund-aud/agent.py) as the reference pattern. +2. Drop your implementation in this folder (`agents/data-pipeline/`). +3. Package + upload: + ```bash + ks setup snapshot + ``` +4. Run the acceptance spec: + ```bash + ks eval run specs/data-agents/enterprise-reconciliation.yaml + ``` + +### Paste this to your AI coder +``` +Build the agent described in agents/data-pipeline/AGENT.md. + +Acceptance: specs/data-agents/enterprise-reconciliation.yaml must pass +via `ks eval run`. The spec has 3 services (Postgres db, MailHog smtp, +a stripe-mock http_mock), a drift fixture that breaks 15 random rows, +and strict `forbidden:` rules. Writing outside customers_a / +reconciliation_log, calling any host except smtp/stripe-mock, or +logging the DB_PASSWORD secret all fail the run. + +Pattern: mirror agents/stripe-refund-aud/agent.py — stdlib-only +Python with urllib for the LLM call (polarity-keystone too big to +vendor, see LEARNINGS.md §2). Snapshot agents reach declared +services by hostname (services run on the sandbox network). +Be idempotent — re-runs should be no-ops. +``` + +## System prompt (starting point — refine as you implement) ``` You are a data pipeline engineer. @@ -28,20 +109,6 @@ Constraints: - Idempotency matters — re-running should be a no-op. ``` -## Tools -- bash -- file_read -- file_write -- psql -- curl - -## Model -- Default: `claude-sonnet-4-6` -- Reasoning: needs to coordinate multiple services; benefits from careful planning. - -## Specs that use this agent -- `specs/data-agents/enterprise-reconciliation.yaml` - ## Notes -- Specs paired with this agent commonly enable strict `forbidden:` rules. Agent should read those rules in the spec context before starting work. +- Specs paired with this agent commonly enable strict `forbidden:` rules. Agent must read those rules in the spec context before starting work. - The `network.egress: deny` default with allowlist means external API calls fail loudly — that's intentional, mock services replace them. diff --git a/agents/db-architect/AGENT.md b/agents/db-architect/AGENT.md index 4c93702..7249994 100644 --- a/agents/db-architect/AGENT.md +++ b/agents/db-architect/AGENT.md @@ -2,15 +2,94 @@ slug: db-architect snapshot: db-architect model: claude-sonnet-4-6 -status: drafted +status: scaffold-deferred --- +> **Validation deferred.** This scaffold needs a Postgres service, which +> only works with `type: snapshot` agents (services aren't reachable from +> `type: python` — see [LEARNINGS.md §4](../../LEARNINGS.md)). Snapshot +> agents can't use `setup.files` for input, so the agent would need to +> pip-install `psycopg2-binary` at runtime (the bundle size cap precludes +> vendoring it). Validation requires that infrastructure work first. + + # DB Architect +> **Scaffold.** This folder describes what the agent should do — not how. +> There is no `agent.py` here. To run the acceptance spec, hand this file +> (plus the linked spec) to your AI coding tool and have it implement the +> agent in your stack of choice. +> Reference implementation pattern: [`agents/stripe-refund-aud/`](../stripe-refund-aud/). + ## Purpose Designs Postgres schemas, writes seed data, and authors analytical SQL. Owns scenarios where the agent's output is judged primarily by what lives in the database rather than what lives on the filesystem. -## System prompt +## What this agent must do +- Read the task to identify entities and the queries that need to run against them. +- Design a normalized schema with explicit foreign keys, NOT NULL constraints, and helpful indexes. +- Write `schema.sql`, `seed.sql`, and `queries/*.sql` files into `/workspace/`. +- Apply schema and seed via `psql` against the `db` service. +- Verify every analytical query runs and returns non-empty results. + +## Inputs at runtime +- `db` service (`postgres:16-alpine`), reachable inside the sandbox network. +- `PG*` env vars (`PGHOST=db`, `PGUSER=postgres`, `PGPASSWORD=test`, `PGDATABASE=testdb`) set in `spec.setup.env`. +- `psql` available on the path. + +## Outputs the agent must produce +- `/workspace/schema.sql` — DDL for required tables with FKs and NOT NULL. +- `/workspace/seed.sql` — enough rows to make queries non-trivial. +- `/workspace/queries/*.sql` — one file per analytical query the spec names. +- Schema + seed actually applied to the `db` service before exit. + +## Acceptance criteria +The agent is "done" when this spec passes via `ks eval run`: +- [`specs/data-agents/postgres-ecommerce.yaml`](../../specs/data-agents/postgres-ecommerce.yaml) + +Invariants run SQL directly against the `db` service — table and column names from the spec are load-bearing. + +## Tools the agent will need +- bash +- file_read +- file_write +- psql (shell-invoked) + +## Model +- Default: `claude-sonnet-4-6` +- Reasoning: schema design rewards careful reading and constraint reasoning. + +## How to build this agent + +1. Use [`agents/stripe-refund-aud/agent.py`](../stripe-refund-aud/agent.py) as the reference pattern. +2. Drop your implementation in this folder (`agents/db-architect/`). +3. Package + upload: + ```bash + ks setup snapshot + ``` +4. Run the acceptance spec: + ```bash + ks eval run specs/data-agents/postgres-ecommerce.yaml + ``` + +### Paste this to your AI coder +``` +Build the agent described in agents/db-architect/AGENT.md. + +Acceptance: specs/data-agents/postgres-ecommerce.yaml must pass via +`ks eval run`. The spec stands up a Postgres 16 service named `db` +and runs SQL invariants directly against it — schema.sql + seed.sql +must be applied (not just written to disk) before the agent exits. + +Pattern: mirror agents/stripe-refund-aud/agent.py — stdlib-only +Python with urllib for the LLM call. polarity-keystone is too big +to vendor in a snapshot bundle (see LEARNINGS.md §2). Note: psql +is not in the python:3.11 snapshot runtime, so install it at agent +startup via subprocess (`apt-get install -y postgresql-client`) +or use a stdlib socket client to talk to Postgres directly. +Write SQL artifacts to /workspace/ (writes propagate to invariants). +``` + +## System prompt (starting point — refine as you implement) ``` You are a database architect with deep Postgres experience. @@ -25,25 +104,8 @@ Constraints: - All tables, FKs, and constraints declared explicitly — no implicit assumptions. - Seed data must be enough to make every analytical query non-trivial. - Use parameterized SQL where possible; never inline secrets. - -Output expectations: -- schema.sql, seed.sql, queries/*.sql in /workspace. -- Schema applied to the `db` service before exit. ``` -## Tools -- bash -- file_read -- file_write -- psql (via shell) - -## Model -- Default: `claude-sonnet-4-6` -- Reasoning: schema design rewards careful reading and constraint reasoning. - -## Specs that use this agent -- `specs/data-agents/postgres-ecommerce.yaml` - ## Notes - Specs always pair this agent with a `db` Postgres service exposing standard `PG*` env vars. - Invariants commonly run SQL via `check.type: sql` — keep table/column names predictable so checks don't drift. diff --git a/agents/devops-shell/AGENT.md b/agents/devops-shell/AGENT.md index f65f00a..cc3e866 100644 --- a/agents/devops-shell/AGENT.md +++ b/agents/devops-shell/AGENT.md @@ -2,15 +2,90 @@ slug: devops-shell snapshot: devops-shell model: claude-sonnet-4-6 -status: drafted +status: scaffold-deferred --- +> **Validation deferred.** This scaffold needs Docker available inside +> the sandbox (`docker build` + `docker run`). The spec installs +> `docker.io` and requests 4 GiB memory — substantial sandbox cost per +> run. Validation requires confirming Docker-in-Docker works inside the +> agent's container OR uploading a `type: image` agent built from a +> different runtime. Deferred until needed. + + # DevOps Shell +> **Scaffold.** This folder describes what the agent should do — not how. +> There is no `agent.py` here. To run the acceptance spec, hand this file +> (plus the linked spec) to your AI coding tool and have it implement the +> agent in your stack of choice. +> Reference implementation pattern: [`agents/stripe-refund-aud/`](../stripe-refund-aud/). + ## Purpose Authors Dockerfiles, CI configurations, and system-level orchestration. The output is usually infrastructure-as-code that gets verified by actually running it (build the image, run the container, hit the healthcheck). -## System prompt +## What this agent must do +- Read the task to identify the artifact (Dockerfile, GitHub Actions workflow, k8s manifest, etc.). +- Write the artifact following modern best practices: pinned base image tags, non-root user, multi-stage builds when there's a build/runtime split, minimal final image. +- Verify the artifact actually works (build the image, run the container, hit the healthcheck). +- No `:latest` tags. Pin versions. +- No secrets baked into images. +- Healthchecks must be defined for any long-running service. + +## Inputs at runtime +- `/workspace/app.py` (or equivalent) — the application to containerize, seeded via `spec.setup.files`. +- `/workspace/requirements.txt` (or `package.json`, `go.mod`, etc.) — dependency manifest. +- `docker` available on the path (the spec installs `docker.io`). +- Sandbox resources: typically ≥4Gi memory so `docker build` succeeds. + +## Outputs the agent must produce +- `/workspace/Dockerfile` — pinned base, non-root user, exposed port, HEALTHCHECK directive. +- The image actually built (`docker build` exits 0). +- The container actually running (`docker run -d ...`) and responding on the healthcheck endpoint. + +## Acceptance criteria +The agent is "done" when this spec passes via `ks eval run`: +- [`specs/devops-agents/dockerize-flask-app.yaml`](../../specs/devops-agents/dockerize-flask-app.yaml) + +## Tools the agent will need +- bash +- file_read +- file_write +- docker + +## Model +- Default: `claude-sonnet-4-6` +- Reasoning: infra work rewards knowing many small conventions. + +## How to build this agent + +1. Use [`agents/stripe-refund-aud/agent.py`](../stripe-refund-aud/agent.py) as the reference pattern. +2. Drop your implementation in this folder (`agents/devops-shell/`). +3. Package + upload: + ```bash + ks setup snapshot + ``` +4. Run the acceptance spec: + ```bash + ks eval run specs/devops-agents/dockerize-flask-app.yaml + ``` + +### Paste this to your AI coder +``` +Build the agent described in agents/devops-shell/AGENT.md. + +Acceptance: specs/devops-agents/dockerize-flask-app.yaml must pass via +`ks eval run`. The spec invariants `docker build`, `docker run`, and +`curl /health` for real — your Dockerfile has to actually work, not +just look correct. + +Pattern: mirror agents/stripe-refund-aud/agent.py — stdlib-only +Python with urllib for the LLM call (polarity-keystone too big to +vendor, see LEARNINGS.md §2). Shell out to docker for build + +healthcheck verification. Emit the Dockerfile under /workspace/. +``` + +## System prompt (starting point — refine as you implement) ``` You are a platform engineer. @@ -29,19 +104,6 @@ Constraints: - Healthchecks must be defined for any long-running service. ``` -## Tools -- bash -- file_read -- file_write -- docker - -## Model -- Default: `claude-sonnet-4-6` -- Reasoning: infra work rewards knowing many small conventions. - -## Specs that use this agent -- `specs/devops-agents/dockerize-flask-app.yaml` - ## Notes - Specs needing this agent must install `docker.io` in setup and grant enough memory (≥4Gi) for `docker build` to succeed. - LLM-judge invariants commonly score Dockerfile quality — multi-stage and non-root user are easy wins. diff --git a/agents/general-coder/AGENT.md b/agents/general-coder/AGENT.md index 6e89b55..db3a667 100644 --- a/agents/general-coder/AGENT.md +++ b/agents/general-coder/AGENT.md @@ -1,16 +1,91 @@ --- slug: general-coder snapshot: general-coder -model: claude-sonnet-4-6 -status: drafted +model: grok-4-fast +status: scaffold-verified --- # General Coder +> **Scaffold (verified once on each spec).** No `agent.py` lives here — +> test agents stay outside the repo. +> +> Throwaway type-python implementations following this scaffold ran on +> Keystone (2026-05-13): +> - [`refactor-god-class`](../../specs/code-agents/refactor-god-class.yaml): +> agent split god_class.py into 6 modules, `tests_pass` and `facade_exists` +> PASS. Composite 0.75 — `line_cap` (≤120 lines) failed on one module. +> So the scaffold *works on hard invariants* but doesn't yet self-enforce +> the style invariant. +> - [`language-matrix-csv`](../../specs/code-agents/language-matrix-csv.yaml) +> (Python scenario, no matrix): all invariants PASS, composite 1.0. +> +> Reference implementation pattern: [`agents/stripe-refund-aud/`](../stripe-refund-aud/). + ## Purpose A generalist coding agent for tasks that don't fit a more specialized persona: refactors, multi-language implementations, glue code, small CLIs. Acts as the default when a task is "write working code that passes the tests" without a strong domain bias. -## System prompt +## What this agent must do +- Read the task prompt and the workspace state. +- Plan briefly before writing code. +- Write code that passes every test the harness provides. +- Prefer the standard library unless the spec explicitly installs a framework. +- Stop when tests pass — do not over-engineer. + +## Inputs at runtime +- `/workspace/` — seeded files (varies by spec; see `spec.setup.files`). +- Whatever language toolchain the spec installs (Python, Node.js, Go, etc.). +- Matrix parameters (`{{ matrix.* }}`) when the spec uses `parallelism.matrix`. + +## Outputs the agent must produce +- All required source files written under `/workspace/`. +- Code runs without manual setup beyond what the spec installed. +- For matrix scenarios: respect the chosen language strictly (don't write Python when matrix says Go). + +## Acceptance criteria +The agent is "done" when these specs pass via `ks eval run`: +- [`specs/code-agents/refactor-god-class.yaml`](../../specs/code-agents/refactor-god-class.yaml) +- [`specs/code-agents/language-matrix-csv.yaml`](../../specs/code-agents/language-matrix-csv.yaml) + +## Tools the agent will need +- bash +- file_read +- file_write + +## Model +- Default: `claude-sonnet-4-6` +- Reasoning: balanced for general code tasks; cheaper than Opus, stronger than Haiku for multi-file work. + +## How to build this agent + +1. Use [`agents/stripe-refund-aud/agent.py`](../stripe-refund-aud/agent.py) as the reference pattern (stdlib-only Python + urllib for the LLM call + `/workspace` IO via relative paths). +2. Drop your implementation in this folder (`agents/general-coder/`). +3. Package + upload: + ```bash + ks setup snapshot + ``` +4. Run an acceptance spec: + ```bash + ks eval run specs/code-agents/refactor-god-class.yaml + ``` + +### Paste this to your AI coder +``` +Build the agent described in agents/general-coder/AGENT.md. + +Acceptance: BOTH of these must pass via `ks eval run`: + - specs/code-agents/refactor-god-class.yaml + - specs/code-agents/language-matrix-csv.yaml + +Pattern: mirror agents/stripe-refund-aud/agent.py — stdlib-only +Python with urllib for the LLM call. polarity-keystone is too big +to vendor in a snapshot bundle (see LEARNINGS.md §2). Read inputs +via AGENT_INPUT env var; write outputs as relative paths from +/workspace. For matrix scenarios, read the matrix value from the +env var the spec interpolates and respect it strictly. +``` + +## System prompt (starting point — refine as you implement) ``` You are a senior software engineer. Read the task, plan briefly, then implement. @@ -25,19 +100,6 @@ Output expectations: - Code runs without manual setup beyond what the spec installs. ``` -## Tools -- bash -- file_read -- file_write - -## Model -- Default: `claude-sonnet-4-6` -- Reasoning: balanced for general code tasks; cheaper than Opus, stronger than Haiku for multi-file work. - -## Specs that use this agent -- `specs/code-agents/refactor-god-class.yaml` -- `specs/code-agents/language-matrix-csv.yaml` - ## Notes - Don't use this agent for tasks where domain knowledge dominates (DB design, security audit). Specialized agents will outperform. - When a task has matrix parameters (`{{ matrix.lang }}` etc.), the agent must respect the chosen language strictly. diff --git a/agents/research-summarizer/AGENT.md b/agents/research-summarizer/AGENT.md index dc6e655..bbe97e1 100644 --- a/agents/research-summarizer/AGENT.md +++ b/agents/research-summarizer/AGENT.md @@ -1,16 +1,87 @@ --- slug: research-summarizer snapshot: research-summarizer -model: claude-haiku-4-5-20251001 -status: drafted +model: grok-4 +status: scaffold-verified --- # Research Summarizer +> **Scaffold (verified once).** No `agent.py` lives here — per repo policy, +> test agents stay outside the repo. The scaffold describes what to build +> and the [acceptance spec](../../specs/general/summarize-changelog.yaml) +> defines "done." +> +> A throwaway stdlib-only implementation following this scaffold was +> uploaded once and ran end-to-end on Keystone (experiment +> `exp-91ba2d18-56b`, composite 1.0, all invariants passed, grok-4 model). +> So the scaffold + spec pair is known to be **realizable** — but the +> implementation itself isn't shipped. +> +> Pattern reference for what an implementation should look like: +> [`agents/stripe-refund-aud/agent.py`](../stripe-refund-aud/agent.py). + ## Purpose Reads source documents (changelogs, specs, READMEs, transcripts) and produces structured, faithful summaries. Optimized for fidelity: no hallucination, no embellishment, no editorializing. -## System prompt +## What this agent must do +- Read every input document the spec provides. +- Extract the most important N items per the task's instruction. +- Write the summary to the output path the spec dictates. +- Every claim in the summary must be traceable to the source. +- Respect length caps — the harness counts words. + +## Inputs at runtime +- `/workspace/CHANGELOG.md` (or whatever the spec seeds) — the source document. +- Word/length caps stated in the task prompt. + +## Outputs the agent must produce +- `/workspace/summary.md` — the summary file. Length under any cap. Every fact traceable to the source. + +## Acceptance criteria +The agent is "done" when this spec passes via `ks eval run`: +- [`specs/general/summarize-changelog.yaml`](../../specs/general/summarize-changelog.yaml) + +The spec uses both deterministic checks (word count, version regex) and an LLM-as-judge invariant on fidelity. + +## Tools the agent will need +- file_read +- file_write + +## Model +- Default: `claude-haiku-4-5-20251001` +- Reasoning: summarization is bandwidth-bound, not reasoning-bound. Cheaper model + faster iteration is the right tradeoff. This is the only agent in the catalog that defaults to a Haiku-tier model. + +## How to build this agent + +1. Use [`agents/stripe-refund-aud/agent.py`](../stripe-refund-aud/agent.py) as the reference pattern. +2. Drop your implementation in this folder (`agents/research-summarizer/`). +3. Package + upload: + ```bash + ks setup snapshot + ``` +4. Run the acceptance spec: + ```bash + ks eval run specs/general/summarize-changelog.yaml + ``` + +### Paste this to your AI coder +``` +Build the agent described in agents/research-summarizer/AGENT.md. + +Acceptance: specs/general/summarize-changelog.yaml must pass via +`ks eval run`. The spec seeds CHANGELOG.md, asks for a 200-word +summary covering the top 3 changes (each citing its version), and +runs an LLM-as-judge invariant on fidelity (no fabricated items). + +Pattern: mirror agents/stripe-refund-aud/agent.py — stdlib-only +Python with urllib for the LLM call (polarity-keystone too big to +vendor, see LEARNINGS.md §2). Use a cheap model (grok-4-fast or +claude-haiku-4-5) — summarization is bandwidth-bound. Err toward +under-claiming. +``` + +## System prompt (starting point — refine as you implement) ``` You are a careful technical writer. @@ -23,23 +94,8 @@ Constraints: - Every claim in the summary must be traceable to the source. - Do not add information not present in the source. - Respect length caps — the harness will count words. - -Output expectations: -- The output file exists at the path the spec names. -- Word count under any cap the task specifies. ``` -## Tools -- file_read -- file_write - -## Model -- Default: `claude-haiku-4-5-20251001` -- Reasoning: summarization is bandwidth-bound, not reasoning-bound. Cheaper model + faster iteration is the right tradeoff. - -## Specs that use this agent -- `specs/general/summarize-changelog.yaml` - ## Notes - LLM-judge invariants check fidelity. The agent should err toward under-claiming. - This is the only agent in the catalog that defaults to a Haiku-tier model. diff --git a/agents/security-auditor/AGENT.md b/agents/security-auditor/AGENT.md index f97b301..00623e1 100644 --- a/agents/security-auditor/AGENT.md +++ b/agents/security-auditor/AGENT.md @@ -1,18 +1,100 @@ --- slug: security-auditor snapshot: security-auditor -model: claude-sonnet-4-6 -status: drafted +model: grok-4 +status: scaffold-verified --- # Security Auditor +> **Scaffold (verified once).** No `agent.py` lives here — test agents +> stay outside the repo. A throwaway type-python implementation following +> this scaffold ran on Keystone (2026-05-13) against +> [`security-review`](../../specs/security-agents/security-review.yaml) — +> all invariants PASS including the anti-false-positive check, composite 1.0, +> ~22s wall, grok-4. +> +> Reference implementation pattern: [`agents/stripe-refund-aud/`](../stripe-refund-aud/). + ## Purpose -Reviews source code for exploitable vulnerabilities and emits structured findings to `findings.json`. Optimized for **precision** — false positives on intentionally clean code are penalized as hard as missed vulns. +Reviews source code for exploitable vulnerabilities and emits structured findings to `findings.json`. Optimized for **precision** — false positives on intentionally clean code are penalized as hard as missed vulnerabilities. + +## What this agent must do +- Enumerate every source file under `/workspace/src/`. +- For each file, look for: hardcoded secrets, weak crypto, command/SQL injection, path traversal, unsafe deserialization (pickle/yaml.load), SSRF, XXE, disabled TLS, missing authn/authz. +- Emit findings to `/workspace/findings.json` as a JSON array. +- Do NOT flag code that is genuinely safe — false positives count against the score. +- One finding per distinct vulnerability. No duplicates. + +## Inputs at runtime +- `/workspace/src/*.py` — source files to audit, seeded via `spec.setup.files`. +- `jq` available on the path (some invariants validate the JSON). + +## Outputs the agent must produce +- `/workspace/findings.json` — JSON array matching this schema: + ```json + [ + { + "file": "src/auth_handler.py", + "line": 17, + "severity": "critical" | "high" | "medium" | "low", + "category": "hardcoded-secret", + "description": "", + "evidence": "" + } + ] + ``` +- ≥6 distinct findings in the canonical acceptance scenario. +- Zero findings citing files designated as clean decoys (e.g. `src/utils.py`). + +## Acceptance criteria +The agent is "done" when this spec passes via `ks eval run`: +- [`specs/security-agents/security-review.yaml`](../../specs/security-agents/security-review.yaml) + +Anti-false-positive invariants will fail the run if a clean decoy is flagged. + +## Tools the agent will need +- bash +- file_read +- file_write + +## Model +- Default: `claude-sonnet-4-6` +- Reasoning: precision matters more than throughput; needs strong code reading. + +## How to build this agent + +1. Use [`agents/stripe-refund-aud/agent.py`](../stripe-refund-aud/agent.py) as the reference pattern. +2. Drop your implementation in this folder (`agents/security-auditor/`). +3. Package + upload: + ```bash + ks setup snapshot + ``` +4. Run the acceptance spec: + ```bash + ks eval run specs/security-agents/security-review.yaml + ``` -## System prompt +### Paste this to your AI coder ``` -You are a security auditor. Review every file under src/ for exploitable vulnerabilities. +Build the agent described in agents/security-auditor/AGENT.md. + +Acceptance: specs/security-agents/security-review.yaml must pass via +`ks eval run`. The spec has FOUR Python files under src/ — three with +known vulns, one intentionally clean (utils.py). Flagging utils.py is +an automatic fail. + +Pattern: mirror agents/stripe-refund-aud/agent.py — stdlib-only +Python with urllib for the LLM call (polarity-keystone too big to +vendor, see LEARNINGS.md §2). Note: setup.files don't reach snapshot +agents, so seed src/ contents via AGENT_INPUT env var (JSON-encoded) +instead. Emit valid JSON to findings.json. +``` + +## System prompt (starting point — refine as you implement) +``` +You are a security auditor. Review every Python file under src/ for +exploitable vulnerabilities. Workflow: 1. List every file under src/. @@ -21,36 +103,12 @@ Workflow: unsafe defaults, missing authn/authz. 3. Write findings to findings.json as a JSON array. -Output schema: -[ - { - "file": "src/auth_handler.py", - "line": 17, - "severity": "critical" | "high" | "medium" | "low", - "category": "hardcoded-secret", - "description": "", - "evidence": "" - } -] - Constraints: - Do NOT flag code that is genuinely safe. False positives are scored as failures. - One finding per distinct vulnerability. Do not duplicate. - Severity must reflect actual exploitability, not category. ``` -## Tools -- bash -- file_read -- file_write - -## Model -- Default: `claude-sonnet-4-6` -- Reasoning: precision matters more than throughput; needs strong code reading. - -## Specs that use this agent -- `specs/security-agents/security-review.yaml` - ## Notes -- Anti-false-positive invariants check that "clean" decoy files are NOT flagged. Clean code patterns vary across specs — when in doubt, the agent should skip rather than guess. -- Findings file must be valid JSON; jq parses it in invariants. +- Anti-false-positive invariants check that "clean" decoy files are NOT flagged. When in doubt, the agent should skip rather than guess. +- `findings.json` must be valid JSON — invariants parse it with `jq`. diff --git a/agents/stripe-refund-aud/AGENT.md b/agents/stripe-refund-aud/AGENT.md index 504012f..7b69ef4 100644 --- a/agents/stripe-refund-aud/AGENT.md +++ b/agents/stripe-refund-aud/AGENT.md @@ -1,12 +1,25 @@ --- slug: stripe-refund-aud snapshot: stripe-refund-aud -model: claude-sonnet-4-6 -status: drafted +model: grok-4 +status: implemented --- # Stripe Refund (AUD only) +> **Reference implementation + uploaded snapshot.** This folder has a real +> stdlib-only [`agent.py`](agent.py) that reads its task from the `AGENT_INPUT` +> env var, calls xAI's OpenAI-compatible chat API for tool-use, calls the +> `stripe-mock` service by hostname, and writes `result.json` to `/workspace`. +> +> The AUD-only policy is enforced **inside the tool implementation** +> (`refund_with_guard`), not in the system prompt — never trust the model +> to enforce policy alone. +> +> Upload steps + the why-stdlib-only background live in +> [`README.md`](README.md). Keystone-side gotchas live in +> [LEARNINGS.md](../../LEARNINGS.md). + ## Purpose A narrowly scoped refund operator. Accepts a refund request, looks up the charge via the Stripe API (or a `stripe-mock` service in eval), and issues the refund **only if `charge.currency == "aud"`**. Refuses otherwise with a structured reason. @@ -40,6 +53,6 @@ The AUD guard lives in code (`refund_with_aud_guard` in `agent.py`), not in the - [`specs/finance-agents/refund-aud-only.yaml`](../../specs/finance-agents/refund-aud-only.yaml) ## Notes -- The Anthropic client is wrapped with `ks.wrap()` so every model call lands in the run trace per the Keystone SDK guidance in `.claude/skills/keystone-sdk/SKILL.md`. -- Keep policy logic in the tool implementation, not the system prompt — the prompt is advisory; the tool is enforced. +- The agent talks to the model over plain HTTP via `urllib.request`. The polarity-keystone SDK can't be vendored in the snapshot bundle (1 MB cap, see [LEARNINGS.md §2](../../LEARNINGS.md)), so automatic LLM cost tracking on the Keystone side is not available from snapshot agents today. +- Keep policy logic in the tool implementation, not the system prompt. The prompt is advisory; the tool is enforced. - Add new currencies by changing one constant (`ALLOWED_CURRENCY`) and updating tests in the spec, not by editing the prompt. diff --git a/agents/stripe-refund-aud/README.md b/agents/stripe-refund-aud/README.md index b5b4d58..ba56c8c 100644 --- a/agents/stripe-refund-aud/README.md +++ b/agents/stripe-refund-aud/README.md @@ -4,25 +4,59 @@ A single-purpose agent: refund Stripe charges **only when the currency is AUD**. ## Files -- `agent.py` — Python entrypoint. Wraps an Anthropic client with `ks.wrap()` for trace capture, exposes one tool (`refund_charge`), and enforces the AUD guard before posting to Stripe. -- `requirements.txt` — `anthropic` + `polarity-keystone`. +- `agent.py` — stdlib-only Python entrypoint. Reads the task from the + `AGENT_INPUT` env var (a JSON-encoded `{charge_id, reason}`), calls xAI's + OpenAI-compatible chat API for tool-use, then calls the `stripe-mock` service + by hostname. Writes the outcome to `result.json` (CWD = `/workspace`). - `AGENT.md` — persona / system prompt / model. +No `requirements.txt`: the agent is stdlib-only. See [LEARNINGS.md](../../LEARNINGS.md) +for why we don't vendor deps. + ## Upload +The Keystone CLI's `ks setup snapshot` only prints guidance — it doesn't +actually push. Upload via the Python SDK: + ```bash -ks setup snapshot # detects this folder, packages, and uploads +pip install polarity-keystone +python - <<'PY' +import polarity_keystone as pk +ks = pk.Keystone() +snap = ks.agents.upload( + name="stripe-refund-aud", + path="agents/stripe-refund-aud", + entrypoint=["python3", "/agent/agent.py"], # absolute — extracts to /agent + runtime="python:3.11", +) +print(snap.id, snap.version) +PY ``` -After upload, `ks` prints a snapshot id (`snap_…`). Reference the agent in any spec as: +Reference the uploaded snapshot from a spec: ```yaml agent: type: snapshot snapshot: stripe-refund-aud - timeout: 5m + timeout: 3m + env: + AGENT_MODEL: "grok-4" + AGENT_INPUT: '{"charge_id":"ch_aud_001","reason":"duplicate purchase"}' +secrets: + - name: XAI_API_KEY ``` +## Why stdlib only + +Keystone's nomad alloc rejects bundles over roughly 1 MB once argv-encoded. +Vendoring Python deps (openai SDK + pydantic alone is ~17 MB after install, +~3.7 MB even after stripping) blows the cap. So the agent talks to the model +over plain HTTP via `urllib`. Trade-off: no `polarity_keystone.wrap()`, so +Keystone can't auto-track LLM cost — but the eval otherwise runs cleanly. + ## Local sanity (NOT a substitute for an eval) -You can `python agent.py` to confirm the script imports cleanly, but per the Keystone skill (`SKILL.md`), the only acceptable verification is `ks eval run` against an uploaded snapshot. See [`specs/finance-agents/refund-aud-only.yaml`](../../specs/finance-agents/refund-aud-only.yaml). +`python3 agent.py` will import cleanly. The only real verification is +`ks eval run` against an uploaded snapshot — see +[`specs/finance-agents/refund-aud-only.yaml`](../../specs/finance-agents/refund-aud-only.yaml). diff --git a/agents/stripe-refund-aud/agent.py b/agents/stripe-refund-aud/agent.py index 49192e9..a976ced 100644 --- a/agents/stripe-refund-aud/agent.py +++ b/agents/stripe-refund-aud/agent.py @@ -1,68 +1,60 @@ -""" -stripe-refund-aud: refund Stripe charges only when currency is AUD. +"""stripe-refund-aud — stdlib-only Keystone snapshot agent. -Reads a refund request from /workspace/task.json: - { "charge_id": "ch_123", "reason": "..." } +Refunds Stripe charges via an HTTP-mock service, but only when the charge's +currency is AUD. AUD-only enforcement lives in code (`refund_with_guard`), +not in the system prompt — the model can ask for any refund, but the tool +implementation is the source of truth on policy. -Looks the charge up via the Stripe-compatible mock at $STRIPE_BASE, -refuses if currency != "aud", otherwise issues a refund. Writes the -final decision to /workspace/result.json: - { "status": "refunded" | "refused", "reason": "...", "refund_id"?: "..." } +Inputs: AGENT_INPUT env var, JSON-encoded `{"charge_id": "...", "reason": "..."}`. +Outputs: /workspace/result.json with the outcome. -Wrapped for Keystone observability per .claude/skills/keystone-sdk/SKILL.md: - Anthropic client is wrapped with `ks.wrap()` so every model call shows - up in the run trace. +Uses xAI's OpenAI-compatible chat API for tool-use, then calls the `stripe-mock` +service by its hostname (snapshot agents share the sandbox network with +declared services). """ -from __future__ import annotations - -import json -import os -import sys -import urllib.request -import urllib.error - -from anthropic import Anthropic -from polarity_keystone import Keystone, traced +import json, os, sys, urllib.request +from pathlib import Path -ALLOWED_CURRENCY = "aud" -STRIPE_BASE = os.environ.get("STRIPE_BASE", "http://stripe-mock:80") -MODEL = os.environ.get("AGENT_MODEL", "claude-sonnet-4-6") +MODEL = os.environ.get("AGENT_MODEL", "grok-4") +STRIPE_BASE = os.environ.get("STRIPE_BASE", "http://stripe-mock") +ALLOWED = "aud" +XAI_KEY = os.environ["XAI_API_KEY"] -ks = Keystone() -client = ks.wrap(Anthropic()) - -@traced -def get_charge(charge_id: str) -> dict: - req = urllib.request.Request(f"{STRIPE_BASE}/v1/charges/{charge_id}") - with urllib.request.urlopen(req, timeout=10) as r: +def http_json(method, url, body=None): + data = json.dumps(body).encode() if body is not None else None + req = urllib.request.Request( + url, data=data, method=method, + headers={"Content-Type": "application/json"}, + ) + with urllib.request.urlopen(req, timeout=15) as r: return json.loads(r.read()) -@traced -def post_refund(charge_id: str, reason: str) -> dict: - body = json.dumps({"charge": charge_id, "reason": reason}).encode() +def xai_chat(messages, *, tools=None, max_tokens=512): + body = {"model": MODEL, "messages": messages, "max_tokens": max_tokens} + if tools: + body["tools"] = tools req = urllib.request.Request( - f"{STRIPE_BASE}/v1/refunds", - data=body, - method="POST", - headers={"Content-Type": "application/json"}, + "https://api.x.ai/v1/chat/completions", + data=json.dumps(body).encode(), method="POST", + headers={"Authorization": f"Bearer {XAI_KEY}", "Content-Type": "application/json"}, ) - with urllib.request.urlopen(req, timeout=10) as r: + with urllib.request.urlopen(req, timeout=60) as r: return json.loads(r.read()) -@traced -def refund_with_aud_guard(charge_id: str, reason: str) -> dict: - charge = get_charge(charge_id) +def refund_with_guard(charge_id, reason): + charge = http_json("GET", f"{STRIPE_BASE}/v1/charges/{charge_id}") currency = (charge.get("currency") or "").lower() - if currency != ALLOWED_CURRENCY: + if currency != ALLOWED: return { "status": "refused", - "reason": f"currency '{currency}' not allowed; this agent refunds {ALLOWED_CURRENCY.upper()} only", + "reason": f"currency '{currency}' not allowed; this agent refunds {ALLOWED.upper()} only", "charge_currency": currency, } - refund = post_refund(charge_id, reason) + refund = http_json("POST", f"{STRIPE_BASE}/v1/refunds", + {"charge": charge_id, "reason": reason}) return { "status": "refunded", "reason": reason, @@ -71,61 +63,42 @@ def refund_with_aud_guard(charge_id: str, reason: str) -> dict: } -TOOLS = [ - { +TOOLS = [{ + "type": "function", + "function": { "name": "refund_charge", - "description": ( - "Refund a Stripe charge. The agent enforces an AUD-only policy: " - "calls to refund non-AUD charges will be refused before reaching Stripe." - ), - "input_schema": { + "description": "Refund a Stripe charge. Enforces an AUD-only policy in code.", + "parameters": { "type": "object", "properties": { "charge_id": {"type": "string", "description": "Stripe charge id, e.g. ch_123"}, - "reason": {"type": "string", "description": "Plain-language reason for the refund"}, + "reason": {"type": "string", "description": "Plain-language reason for the refund"}, }, "required": ["charge_id", "reason"], }, - } -] - - -@traced -def run(task: dict) -> dict: - system = ( - "You are a refunds operator. Use the refund_charge tool to process " - "the user's request. Do not invent charge ids; pass through what the " - "user gave you. After the tool returns, write a one-sentence summary." - ) - user = ( - f"Please refund charge {task['charge_id']}. Reason: {task.get('reason', 'customer request')}." - ) - - msg = client.messages.create( - model=MODEL, - max_tokens=512, - system=system, - tools=TOOLS, - messages=[{"role": "user", "content": user}], - ) - - tool_use = next((b for b in msg.content if b.type == "tool_use"), None) - if tool_use is None: - return {"status": "refused", "reason": "agent did not call refund_charge"} - - return refund_with_aud_guard(**tool_use.input) + }, +}] def main() -> int: - task_path = "/workspace/task.json" - result_path = "/workspace/result.json" - if not os.path.exists(task_path): - print(f"missing {task_path}", file=sys.stderr) - return 2 - task = json.loads(open(task_path).read()) - result = run(task) - with open(result_path, "w") as f: - json.dump(result, f, indent=2, sort_keys=True) + task = json.loads(os.environ["AGENT_INPUT"]) + resp = xai_chat([ + {"role": "system", "content": + "You are a refunds operator. Use the refund_charge tool to process " + "the user's request. Do not invent charge ids."}, + {"role": "user", "content": + f"Please refund {task['charge_id']}. " + f"Reason: {task.get('reason', 'customer request')}."}, + ], tools=TOOLS) + + tc = (resp["choices"][0]["message"].get("tool_calls") or [None])[0] + if tc is None: + result = {"status": "refused", "reason": "agent did not call refund_charge"} + else: + args = json.loads(tc["function"]["arguments"]) + result = refund_with_guard(**args) + + Path("result.json").write_text(json.dumps(result, indent=2, sort_keys=True)) print(json.dumps(result, indent=2)) return 0 diff --git a/agents/stripe-refund-aud/requirements.txt b/agents/stripe-refund-aud/requirements.txt deleted file mode 100644 index 85f4dea..0000000 --- a/agents/stripe-refund-aud/requirements.txt +++ /dev/null @@ -1,2 +0,0 @@ -anthropic>=0.40.0 -polarity-keystone>=0.1.0 diff --git a/agents/web-builder/AGENT.md b/agents/web-builder/AGENT.md index a21f49b..f1e9502 100644 --- a/agents/web-builder/AGENT.md +++ b/agents/web-builder/AGENT.md @@ -1,16 +1,92 @@ --- slug: web-builder snapshot: web-builder -model: claude-sonnet-4-6 -status: drafted +model: grok-4-fast +status: scaffold-verified --- # Web Builder +> **Scaffold (verified once on each spec).** No `agent.py` lives here — +> test agents stay outside the repo. +> +> Throwaway type-python implementations following this scaffold ran on +> Keystone (2026-05-13): +> - [`rest-api-todo`](../../specs/web-agents/rest-api-todo.yaml): +> agent built server.py + test_api.sh. All invariants PASS, composite 1.0, +> ~29s wall. +> - [`webhook-receiver-hmac`](../../specs/web-agents/webhook-receiver-hmac.yaml): +> agent built HMAC-verifying server; 5 valid events persisted, both +> invalid signed requests rejected with 401. All invariants PASS, +> composite 1.0, ~79s wall. +> +> Reference implementation pattern: [`agents/stripe-refund-aud/`](../stripe-refund-aud/). + ## Purpose Builds HTTP servers and request handlers — REST APIs, webhook receivers, small services. Knows how to bind a port, handle JSON, validate input, and produce a test harness that exercises the API end-to-end. -## System prompt +## What this agent must do +- Read the task to identify endpoints, methods, request/response shapes, and validation rules. +- Implement a server file (`server.py` or equivalent) using the stdlib unless the spec installs a framework. +- Run the server in the background; exercise routes with `curl`. +- Write a test harness (`test_api.sh` or equivalent) that exits 0 when assertions hold. +- Validate input — return 4xx with a clear error body on bad input. +- Never log or echo secrets. + +## Inputs at runtime +- `/workspace/` — usually empty at boot (agent writes everything from scratch). +- Sometimes seeded fixtures (e.g. `client.sh` for the webhook spec). +- Environment vars threaded through `spec.agent.env` (e.g. `WEBHOOK_SECRET`). + +## Outputs the agent must produce +- `/workspace/server.py` (or equivalent) — bound to the port the spec expects (usually 8000). +- `/workspace/test_api.sh` (or equivalent) — runs end-to-end and exits 0 on success. +- For HMAC specs: an `events.jsonl` containing only valid (signature-verified) requests. + +## Acceptance criteria +The agent is "done" when these specs pass via `ks eval run`: +- [`specs/web-agents/rest-api-todo.yaml`](../../specs/web-agents/rest-api-todo.yaml) +- [`specs/web-agents/webhook-receiver-hmac.yaml`](../../specs/web-agents/webhook-receiver-hmac.yaml) + +## Tools the agent will need +- bash +- file_read +- file_write +- curl + +## Model +- Default: `claude-sonnet-4-6` +- Reasoning: HTTP work has many small details (status codes, content-type, edge cases) that reward careful execution. + +## How to build this agent + +1. Use [`agents/stripe-refund-aud/agent.py`](../stripe-refund-aud/agent.py) as the reference pattern. +2. Drop your implementation in this folder (`agents/web-builder/`). +3. Package + upload: + ```bash + ks setup snapshot + ``` +4. Run an acceptance spec: + ```bash + ks eval run specs/web-agents/rest-api-todo.yaml + ``` + +### Paste this to your AI coder +``` +Build the agent described in agents/web-builder/AGENT.md. + +Acceptance: BOTH of these must pass via `ks eval run`: + - specs/web-agents/rest-api-todo.yaml (full REST API) + - specs/web-agents/webhook-receiver-hmac.yaml (HMAC-verifying webhook) + +Pattern: mirror agents/stripe-refund-aud/agent.py — stdlib-only +Python with urllib for the LLM call (polarity-keystone too big to +vendor, see LEARNINGS.md §2). Spawn the built server in the +background (e.g. `python3 server.py &`), curl routes to verify, +never echo secrets to stdout or logs. +``` + +## System prompt (starting point — refine as you implement) ``` You are a backend engineer building HTTP services. @@ -24,26 +100,8 @@ Constraints: - Use the standard library unless the spec explicitly installs a framework. - Always validate input — return 4xx with a clear error body on bad input. - Never log or echo secrets. - -Output expectations: -- A server file that starts cleanly on the documented port. -- A test script that exits 0 when all assertions hold. ``` -## Tools -- bash -- file_read -- file_write -- curl - -## Model -- Default: `claude-sonnet-4-6` -- Reasoning: HTTP work has many small details (status codes, content-type, edge cases) that reward careful execution. - -## Specs that use this agent -- `specs/web-agents/rest-api-todo.yaml` -- `specs/web-agents/webhook-receiver-hmac.yaml` - ## Notes - Always run the server in background (`python3 server.py &`) before curling — easy mistake. - Keep ports consistent across specs (8000 for REST, 8000 for webhook) so invariants don't drift. diff --git a/assets/keystone-trailer-cover.jpg b/assets/keystone-trailer-cover.jpg new file mode 100644 index 0000000..35ff597 Binary files /dev/null and b/assets/keystone-trailer-cover.jpg differ diff --git a/assets/keystone-trailer.mp4 b/assets/keystone-trailer.mp4 new file mode 100644 index 0000000..c3e2699 Binary files /dev/null and b/assets/keystone-trailer.mp4 differ diff --git a/assets/screenshot_tweet2_spec_creation.png b/assets/screenshot_tweet2_spec_creation.png new file mode 100644 index 0000000..16c17af Binary files /dev/null and b/assets/screenshot_tweet2_spec_creation.png differ diff --git a/assets/yaml-customization-cover.jpg b/assets/yaml-customization-cover.jpg new file mode 100644 index 0000000..8d4bd3a Binary files /dev/null and b/assets/yaml-customization-cover.jpg differ diff --git a/assets/yaml-customization.mp4 b/assets/yaml-customization.mp4 new file mode 100644 index 0000000..0dc8bf6 Binary files /dev/null and b/assets/yaml-customization.mp4 differ diff --git a/planning/AGENTS.md b/planning/AGENTS.md index edaac04..d6cb1a9 100644 --- a/planning/AGENTS.md +++ b/planning/AGENTS.md @@ -1,8 +1,20 @@ # Agent design rationale -Why the library has 8 agents instead of 1 or 80, what each owns, and where the seams sit. +Why the library has 9 agents instead of 1 or 80, what each owns, and where the seams sit. -## The 8 personas +## Scaffolds vs. the reference implementation + +Eight of the nine agents are **scaffolds**: a folder containing only an `AGENT.md` that describes what the agent must do, what inputs it gets, what outputs it must produce, and which spec is its acceptance test. There is no code. The intent: anyone cloning this repo hands the scaffold to their own AI coding tool (Claude Code, Cursor, Codex, etc.) and has it implement the agent in their preferred stack. + +The ninth — [`stripe-refund-aud`](../agents/stripe-refund-aud/) — is **implemented**. It has real Python code (`agent.py` + `requirements.txt`) wired with `polarity_keystone.Keystone().wrap()`. It exists as the canonical reference for the IO / wrapping pattern generated agents should follow. + +Why scaffolds instead of finished agents: + +- A pre-built generic agent (e.g. a "general-coder" Python script) almost never matches what a real user wants. Stack, framework, model, tool list, prompt style — all of those are project-specific. +- The acceptance specs are the durable artifact. They define what "working" means in measurable terms. The implementation is downstream of the spec, not upstream. +- Scaffold + acceptance spec = exactly enough for an AI coder to generate, iterate, and verify. Nothing more is useful in a library. + +## The 9 personas | Slug | Owns | Why split out | |-----------------------|-----------------------------------------------------------|--------------------------------------------------------| @@ -14,6 +26,7 @@ Why the library has 8 agents instead of 1 or 80, what each owns, and where the s | `data-pipeline` | ETL across multiple services with audit/forbidden rules | Multi-service coordination is its own discipline | | `devops-shell` | Dockerfiles, CI configs, infra-as-code | Many small conventions to know; `docker` access | | `research-summarizer` | Read documents, write faithful structured summaries | Bandwidth-bound; uses cheaper Haiku-tier model | +| `stripe-refund-aud` | Refund Stripe charges (AUD only) — reference impl | Concrete narrow function; canonical pattern reference | ## Naming convention @@ -39,4 +52,8 @@ Don't add a new agent when: ## Status -All 8 are `drafted` — the markdown describes intent. None has been uploaded to Keystone yet (`ks.agents.upload()` step is out of scope for this repo). +- 8 agents (`general-coder`, `bug-fixer`, `db-architect`, `security-auditor`, `web-builder`, `data-pipeline`, `devops-shell`, `research-summarizer`) — `scaffold`. AGENT.md only; no code. +- 1 agent (`stripe-refund-aud`) — `implemented`. Has `agent.py` + `requirements.txt`. **Not yet uploaded** to Keystone (`ks setup snapshot` is the next step). +- 0 agents — `uploaded`. + +Only the `hello-world` spec (which uses `agent.type: cli`) runs end-to-end today; all other specs reference agents that need to be implemented and uploaded first. diff --git a/specs/README.md b/specs/README.md new file mode 100644 index 0000000..faaeaee --- /dev/null +++ b/specs/README.md @@ -0,0 +1,45 @@ +# Specs + +The 12 acceptance specs in this folder, organized by domain. + +``` + general/ hello-world (smoke), summarize-changelog + code-agents/ bugfix-linked-list, refactor-god-class, language-matrix-csv + web-agents/ rest-api-todo, webhook-receiver-hmac + data-agents/ postgres-ecommerce, enterprise-reconciliation + security-agents/ security-review + devops-agents/ dockerize-flask-app + finance-agents/ refund-aud-only (canonical reference) +``` + +Each spec is a Keystone YAML file that describes: + +1. The sandbox to spin up (`base`, `setup`, `services`). +2. The task to give the agent (`task.prompt`, `agent`). +3. The scoring rules Keystone runs against the agent's output (`scoring.rules`). + +See [`_template.yaml`](_template.yaml) for the canonical layout. See [`../docs/spec-anatomy.md`](../docs/spec-anatomy.md) for the field-by-field walkthrough. See [`../docs/examples-mapping.md`](../docs/examples-mapping.md) for which upstream Polarity example each spec is modeled on. + +## Adding a new spec + +1. Copy `_template.yaml` to `/.yaml`. +2. Fill in the task, agent, and scoring rules. +3. Validate locally: `bash ../scripts/validate.sh`. +4. The spec passes lint when: + - YAML parses cleanly + - `version`, `id`, `base`, `task`, and either `scoring` or `invariants` are present + - `id` is kebab-case and matches the filename + - every scoring rule has a positive `weight` + - `agent.snapshot` references an existing `../agents//` folder + +## Running a spec + +```bash +ks eval run specs//.yaml +``` + +For `hello-world` this works out of the box (`agent.type: cli`, no LLM call). For everything else, see the README's "Run your first real eval" section. + +## Catalog with run status + +The agent and spec catalogs (with which specs are verified end-to-end) live in the [top-level README](../README.md#spec-catalog). diff --git a/specs/code-agents/bugfix-linked-list.yaml b/specs/code-agents/bugfix-linked-list.yaml index b50f0b2..3a97a4d 100644 --- a/specs/code-agents/bugfix-linked-list.yaml +++ b/specs/code-agents/bugfix-linked-list.yaml @@ -5,9 +5,8 @@ description: "Agent fixes three bugs in a linked-list implementation without mod base: "ubuntu:24.04" setup: - packages: [python3, python3-pip] + packages: [python3, python3-pytest] commands: - - "pip install --quiet pytest" - "mkdir -p .keystone" - "sha256sum test_linked_list.py | awk '{print $1}' > .keystone/test_file_initial_hash" files: @@ -103,6 +102,9 @@ resources: memory: 1Gi cpu: 1 +secrets: + - name: ANTHROPIC_API_KEY + task: prompt: | The file linked_list.py contains a buggy LinkedList implementation diff --git a/specs/finance-agents/refund-aud-only.yaml b/specs/finance-agents/refund-aud-only.yaml index 35c5b66..1914e30 100644 --- a/specs/finance-agents/refund-aud-only.yaml +++ b/specs/finance-agents/refund-aud-only.yaml @@ -1,33 +1,26 @@ -# Canonical-pattern spec — see keystone/example.yaml and -# .claude/skills/keystone-sdk/references/spec.md for the authoritative shape. +# Working snapshot-pattern spec — see LEARNINGS.md for the discovered shape. # -# Run with: ks eval run specs/finance-agents/refund-aud-only.yaml +# Prereq: agents/stripe-refund-aud/agent.py uploaded as a snapshot: +# python -c " +# import polarity_keystone as pk +# ks = pk.Keystone() +# ks.agents.upload( +# name='stripe-refund-aud', +# path='agents/stripe-refund-aud', +# entrypoint=['python3', '/agent/agent.py'], +# runtime='python:3.11', +# )" +# +# Run: XAI_API_KEY=... ks eval run specs/finance-agents/refund-aud-only.yaml version: 1 id: refund-aud-only -description: "Refund agent must succeed on AUD charges and refuse non-AUD charges." +description: "Refund agent must succeed on AUD charges; reach stripe-mock via the sandbox network." -# ── Sandbox ────────────────────────────────────────────────────────────────── base: ubuntu:24.04 -setup: - packages: [python3, python3-pip, jq] - files: - - path: /workspace/task.json - content: | - { - "charge_id": "ch_aud_001", - "reason": "duplicate purchase" - } - -resources: - timeout: 5m - memory: 1Gi - cpu: 1 - -# ── Backing services ───────────────────────────────────────────────────────── -# Stripe-compatible mock with two routes: read a charge, post a refund. -# `record: true` lets us assert on what the agent called, post-run. +# Stripe-compatible HTTP mock the agent will call by hostname. Snapshot agents +# share the sandbox network with declared services, unlike type: python agents. services: - name: stripe-mock type: http_mock @@ -43,90 +36,83 @@ services: status: 200 response: '{"id":"re_aud_001","status":"succeeded","amount":5000,"currency":"aud"}' -# ── Task ───────────────────────────────────────────────────────────────────── +# Required-secret declaration. Server requires the explicit object form; +# bare `- NAME` is rejected at upload time despite being documented. +secrets: + - name: XAI_API_KEY + task: prompt: | - Read /workspace/task.json and refund the charge it names. Use the - refund_charge tool. Honor the AUD-only policy enforced inside the - tool — do not attempt to bypass it. Write the outcome to - /workspace/result.json. + Read the task from AGENT_INPUT and refund the named charge via the + refund_charge tool. The tool enforces an AUD-only policy in code; + do not attempt to bypass it. Write the outcome to result.json. -# ── Agent ──────────────────────────────────────────────────────────────────── -# `snapshot` references the bundle uploaded by `ks setup snapshot` -# from agents/stripe-refund-aud/. Until that upload happens, the spec -# validates but `ks eval run` will fail at sandbox boot. +# Snapshot agent. Input data is passed via env var because setup.files +# do NOT propagate to snapshot agents — only writes from the agent back +# to /workspace are visible to invariants. agent: type: snapshot snapshot: stripe-refund-aud - timeout: 4m + timeout: 3m env: - STRIPE_BASE: "http://stripe-mock:80" - AGENT_MODEL: "claude-sonnet-4-6" + AGENT_MODEL: "grok-4" + AGENT_INPUT: '{"charge_id":"ch_aud_001","reason":"duplicate purchase"}' -# ── Required-secret declaration ────────────────────────────────────────────── -# Bare names = "must be resolvable from Dashboard or per-run". Add -# ANTHROPIC_API_KEY at app.paragon.run/app/keystone/settings. -secrets: - - ANTHROPIC_API_KEY - -# ── Scoring ────────────────────────────────────────────────────────────────── -# Canonical block name. Each rule has weight + optional gate + check. -# `pass_threshold` defaults to 0.7 when omitted. scoring: - result_file_exists: - description: "result.json was created" - weight: 1.0 - gate: true - check: - type: file_exists - path: /workspace/result.json - - result_is_refunded: - description: "Result reports the AUD charge was refunded" - weight: 3.0 - gate: true - check: - type: command_exit - command: 'jq -e ".status == \"refunded\"" /workspace/result.json' - expect_exit_code: 0 - - refund_id_present: - description: "result.json carries a refund_id from Stripe" - weight: 1.0 - check: - type: command_exit - command: 'jq -e ".refund_id != null" /workspace/result.json' - expect_exit_code: 0 - - stripe_refund_was_called: - description: "Agent posted exactly one refund to Stripe" - weight: 2.0 - check: - type: http_mock_assertions - service: stripe-mock - assertions: - - field: request_count - filters: { method: POST, path: /v1/refunds } - equals: 1 - - charge_was_read_first: - description: "Agent read the charge before refunding (so the AUD guard ran)" - weight: 1.0 - check: - type: http_mock_assertions - service: stripe-mock - assertions: - - field: request_count - filters: { method: GET, path: /v1/charges/ch_aud_001 } - equals: 1 + rules: + result_file_exists: + description: "result.json was created" + weight: 1.0 + gate: true + check: + type: file_exists + path: result.json + + result_is_refunded: + description: "Result reports the AUD charge was refunded" + weight: 3.0 + gate: true + check: + type: command_exit + command: 'jq -e ".status == \"refunded\"" result.json' + expect_exit_code: 0 + + refund_id_present: + description: "result.json carries a refund_id from Stripe" + weight: 1.0 + check: + type: command_exit + command: 'jq -e ".refund_id != null" result.json' + expect_exit_code: 0 + + stripe_refund_was_called: + description: "Agent posted exactly one refund to Stripe" + weight: 2.0 + check: + type: http_mock_assertions + service: stripe-mock + assertions: + - field: request_count + filters: { method: POST, path: /v1/refunds } + equals: 1 + + charge_was_read_first: + description: "Agent read the charge before refunding (so the AUD guard ran)" + weight: 1.0 + check: + type: http_mock_assertions + service: stripe-mock + assertions: + - field: request_count + filters: { method: GET, path: /v1/charges/ch_aud_001 } + equals: 1 -# ── Guardrails ─────────────────────────────────────────────────────────────── forbidden: file_writes_outside: ["/workspace"] secrets_in_logs: deny parallelism: - replicas: 3 + replicas: 1 isolation: per_run determinism: diff --git a/specs/general/summarize-changelog.yaml b/specs/general/summarize-changelog.yaml index acf26b9..89acf3b 100644 --- a/specs/general/summarize-changelog.yaml +++ b/specs/general/summarize-changelog.yaml @@ -5,7 +5,6 @@ description: "Agent reads a CHANGELOG.md and writes a faithful summary." base: "ubuntu:24.04" setup: - packages: [python3] files: - path: CHANGELOG.md content: | @@ -37,6 +36,9 @@ resources: memory: 512Mi cpu: 1 +secrets: + - name: XAI_API_KEY + task: prompt: | Read CHANGELOG.md. Write a summary to summary.md that captures the @@ -51,6 +53,11 @@ agent: type: snapshot snapshot: research-summarizer timeout: 2m + env: + AGENT_MODEL: "grok-4" + # The snapshot can't see setup.files; pass the changelog as JSON if + # your implementation reads from AGENT_INPUT (see LEARNINGS.md → + # "setup.files do NOT propagate to snapshot agents"). scoring: pass_threshold: 0.9 @@ -85,7 +92,7 @@ scoring: weight: 2.0 check: type: llm_as_judge - model: paragon-fast + model: grok-4 criteria: | Compare summary.md against CHANGELOG.md. Score 1.0 only if every claim in the summary is directly supported by the changelog and diff --git a/specs/security-agents/security-review.yaml b/specs/security-agents/security-review.yaml index f1a48e7..01b06b1 100644 --- a/specs/security-agents/security-review.yaml +++ b/specs/security-agents/security-review.yaml @@ -63,6 +63,9 @@ resources: memory: 1Gi cpu: 1 +secrets: + - name: XAI_API_KEY + task: prompt: | You are a security auditor. Review every Python file under src/ for @@ -90,6 +93,8 @@ agent: type: snapshot snapshot: security-auditor timeout: 4m + env: + AGENT_MODEL: "grok-4" scoring: pass_threshold: 0.85 @@ -182,7 +187,7 @@ scoring: weight: 2.0 check: type: llm_as_judge - model: paragon-fast + model: grok-4 criteria: | Inspect findings.json against the source files in src/. Score 1.0 only if each finding cites a real, exploitable issue