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solderzzc merged 1 commit into from
Mar 7, 2026
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docs: update SKILL.md with npm dependency and new env vars #131

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13 changes: 10 additions & 3 deletions skills/analysis/home-security-benchmark/SKILL.md
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Expand Up @@ -5,7 +5,7 @@ version: 2.0.0
category: analysis
runtime: node
entry: scripts/run-benchmark.cjs
install: none
install: npm
---

# Home Security AI Benchmark
Expand All @@ -14,7 +14,7 @@ Comprehensive benchmark suite evaluating LLM and VLM models on **131 tests** acr

## Setup

**No installation required.** This skill has zero external dependencies — it uses only Node.js built-in modules. No `npm install` needed.
**Requires `npm install`.** This skill has a `package.json` with dependencies (e.g. `openai` SDK). The deployment agent should check for `package.json` and run `npm install` in the skill directory before launching.

Entry script: `scripts/run-benchmark.cjs`

Expand Down Expand Up @@ -53,7 +53,13 @@ node scripts/run-benchmark.cjs --no-open
| Variable | Default | Description |
|----------|---------|-------------|
| `AEGIS_GATEWAY_URL` | `http://localhost:5407` | LLM gateway (OpenAI-compatible) |
| `AEGIS_LLM_URL` | — | Direct llama-server LLM endpoint |
| `AEGIS_LLM_API_TYPE` | `openai` | LLM provider type (builtin, openai, etc.) |
| `AEGIS_LLM_MODEL` | — | LLM model name |
| `AEGIS_LLM_API_KEY` | — | API key for cloud LLM providers |
| `AEGIS_LLM_BASE_URL` | — | Cloud provider base URL (e.g. `https://api.openai.com/v1`) |
| `AEGIS_VLM_URL` | *(disabled)* | VLM server base URL |
| `AEGIS_VLM_MODEL` | — | Loaded VLM model ID |
| `AEGIS_SKILL_ID` | — | Skill identifier (enables skill mode) |
| `AEGIS_SKILL_PARAMS` | `{}` | JSON params from skill config |

Expand Down Expand Up @@ -129,5 +135,6 @@ Results are saved to `~/.aegis-ai/benchmarks/` as JSON. An HTML report with cros
## Requirements

- Node.js ≥ 18
- Running LLM server (llama-cpp, vLLM, or any OpenAI-compatible API)
- `npm install` (for `openai` SDK dependency)
- Running LLM server (llama-server, OpenAI API, or any OpenAI-compatible endpoint)
- Optional: Running VLM server for scene analysis tests (35 tests)