Evidence-based review skill for diff, project, and artifact review across code, readiness, architecture, requirements, and risk.

Human-governed readiness system for UAT evidence, launch readiness, blocker escalation, signoff ownership, and release decision support.

Static release checks for tool-using AI agents. Open-source CLI + GitHub Action. Scans MCP, OpenAPI, OpenAI Agents SDK, Anthropic, LangChain, CrewAI, Google ADK. Writes Tool-Use Readiness Reports.

A GitHub template repository for deploying AI in regulated industries — governance docs, CI/CD gates, risk taxonomy, and release readiness out of the box

Browser-based product delivery dashboard for tracking TaskFlow mobile app scope, Agile execution, release readiness, and stakeholder visibility.

Experimental framework for analyzing AI output behavior, hallucination risk and uncertainty before release

Structured QA pipeline for pre-release risk analysis: test coverage, flaky tests, and high-risk components detection

Honest QA gap analysis for deployed web apps. Auth-aware scanning, real accessibility checks, and an MCP server for AI agents.

Portable AI agent skills and specialist subagents for prompt enhancement, workspace resume, source-grounded research, and release readiness.

VWO-flavored growth-ops control plane for experiment targeting evidence, holdout integrity, release readiness, and measurement-safe rollout sequencing.

Quality gates for definition of done and release readiness.

Public preview of the Application Performance Testing Readiness Checklist. Demonstrates the structure, gating model, and evidence-driven validation approach for PT cycles and test runs. Get the full professional package here: [https://akhileshsarfare.gumroad.com/l/qwoxu]

Local-first release readiness radar for maintainers with too many repos.

HCAC is a completion contract for agents and tools. It defines when something is truly “done” — not just structurally, but behaviorally.

AppSecOne aggregates Fortify SSC vulnerability data, evaluates release readiness through deterministic security policies, and delivers real-time portfolio visibility with waivers, trends, and auditability.

Dataset-card templates, privacy review, and sanitation standards for future Foundation datasets.

Biotech / diagnostics operator surface for assay release packets, calibration freshness, variance review, and QA signoff.

Model-card templates and release-readiness standards for future Foundation AI releases.

Coding-success skills for Minis on iOS: review risk, plan, isolate, trace, test, verify, optimize, finish, release, deploy, triage incidents, plan rollback, write postmortems, and use observability more effectively.

Launchroom: release readiness agent for the Google Cloud Rapid Agent Hackathon