feat: add HomeSafe-Bench skill + disk space checks

- New HomeSafe-Bench skill: 40 indoor safety VLM tests across 5 categories
  (fire/smoke, electrical, trip/fall, child safety, falling objects)
- 26/40 AI-generated fixture frames (remaining pending image gen quota)
- Runtime disk space pre-check in SmartHome-Bench (15GB full / 2GB subset)
- Register homesafe-bench in skills.json
- All datasets download at runtime, not during deployment

Author: solderzzc

skills.json

@@ -133,6 +133,38 @@
       "ui_unlocks": [
         "benchmark_report"
       ]
+    },
+    {
+      "id": "homesafe-bench",
+      "name": "HomeSafe Indoor Safety Benchmark",
+      "description": "VLM evaluation suite for indoor home safety hazard detection — 40 tests across 5 categories: fire/smoke, electrical, trip/fall, child safety, falling objects.",
+      "version": "1.0.0",
+      "category": "analysis",
+      "path": "skills/analysis/homesafe-bench",
+      "tags": [
+        "benchmark",
+        "vlm",
+        "safety",
+        "hazard",
+        "indoor"
+      ],
+      "platforms": [
+        "linux-x64",
+        "linux-arm64",
+        "darwin-arm64",
+        "darwin-x64",
+        "win-x64"
+      ],
+      "requirements": {
+        "node": ">=18",
+        "ram_gb": 2
+      },
+      "capabilities": [
+        "benchmark"
+      ],
+      "ui_unlocks": [
+        "benchmark_report"
+      ]
     }
   ]
 }

skills/analysis/homesafe-bench/SKILL.md

@@ -0,0 +1,123 @@
+---
+name: HomeSafe-Bench
+description: VLM indoor safety hazard detection benchmark inspired by HomeSafeBench (arXiv 2509.23690)
+version: 1.0.0
+category: analysis
+runtime: node
+entry: scripts/run-benchmark.cjs
+install: npm
+
+requirements:
+  node: ">=18"
+  npm_install: true
+  platforms: ["linux", "macos", "windows"]
+---
+
+# HomeSafe-Bench — Indoor Safety Hazard Detection
+
+VLM benchmark evaluating indoor home safety hazard detection from static camera frames. Inspired by [HomeSafeBench (arXiv 2509.23690)](https://arxiv.org/abs/2509.23690), adapted for **fixed indoor security cameras** with AI-generated fixture images.
+
+**40 tests** across **5 hazard categories**:
+
+| Category | Tests | Example Hazards |
+|----------|-------|-----------------|
+| 🔥 Fire / Smoke | 8 | Stove smoke, candle near curtain, iron left face-down |
+| ⚡ Electrical | 8 | Overloaded power strip, exposed wire, frayed cord |
+| 🚶 Trip / Fall | 8 | Toys on staircase, wet floor, loose rug edge |
+| 👶 Child Safety | 8 | Open cabinet with chemicals, uncovered outlet, blind cord |
+| 📦 Falling Objects | 8 | Heavy items on high shelf, leaning bookshelf, loose ceiling fan |
+
+## Setup
+
+**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`
+
+### Verification
+
+```bash
+node scripts/run-benchmark.cjs --help
+```
+
+## Quick Start
+
+### As an Aegis Skill (automatic)
+
+When spawned by Aegis, all configuration is injected via environment variables. The benchmark discovers your VLM server automatically, generates an HTML report, and opens it when complete.
+
+### Standalone
+
+```bash
+# Run all 40 tests
+node scripts/run-benchmark.cjs --vlm http://localhost:5405
+
+# Quick mode (2 tests per category = 10 total)
+node scripts/run-benchmark.cjs --vlm http://localhost:5405 --mode quick
+
+# Skip report auto-open
+node scripts/run-benchmark.cjs --vlm http://localhost:5405 --no-open
+```
+
+## Configuration
+
+### Environment Variables (set by Aegis)
+
+| Variable | Default | Description |
+|----------|---------|-------------|
+| `AEGIS_VLM_URL` | *(required)* | 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 |
+
+> **Note**: URLs should be base URLs (e.g. `http://localhost:5405`). The benchmark appends `/v1/chat/completions` automatically.
+
+### User Configuration (config.yaml)
+
+| Parameter | Type | Default | Description |
+|-----------|------|---------|-------------|
+| `mode` | select | `full` | Which mode: `full` (40 tests) or `quick` (10 tests — 2 per category) |
+| `noOpen` | boolean | `false` | Skip auto-opening the HTML report in browser |
+
+### CLI Arguments (standalone fallback)
+
+| Argument | Default | Description |
+|----------|---------|-------------|
+| `--vlm URL` | *(required)* | VLM server base URL |
+| `--mode MODE` | `full` | Test mode: `full` or `quick` |
+| `--out DIR` | `~/.aegis-ai/homesafe-benchmarks` | Results directory |
+| `--no-open` | — | Don't auto-open report in browser |
+
+## Protocol
+
+### Aegis → Skill (env vars)
+```
+AEGIS_VLM_URL=http://localhost:5405
+AEGIS_SKILL_ID=homesafe-bench
+AEGIS_SKILL_PARAMS={}
+```
+
+### Skill → Aegis (stdout, JSON lines)
+```jsonl
+{"event": "ready", "vlm": "SmolVLM-500M", "system": "Apple M3"}
+{"event": "suite_start", "suite": "🔥 Fire / Smoke"}
+{"event": "test_result", "suite": "...", "test": "...", "status": "pass", "timeMs": 4500}
+{"event": "suite_end", "suite": "...", "passed": 7, "failed": 1}
+{"event": "complete", "passed": 36, "total": 40, "timeMs": 180000, "reportPath": "/path/to/report.html"}
+```
+
+Human-readable output goes to **stderr** (visible in Aegis console tab).
+
+## Citation
+
+This benchmark is inspired by:
+
+> **HomeSafeBench: Towards Measuring the Proficiency of Home Safety for Embodied AI Agents**
+> arXiv:2509.23690
+>
+> Unlike the academic benchmark (embodied agent + navigation in simulated 3D environments), our version uses **static indoor camera frames** — matching real-world indoor security camera deployment (fixed wall/ceiling mount). All fixture images are **AI-generated** consistent with DeepCamera's privacy-first approach.
+
+## Requirements
+
+- Node.js ≥ 18
+- `npm install` (for `openai` SDK dependency)
+- Running VLM server (llama-server with vision model, or OpenAI-compatible VLM endpoint)

skills/analysis/homesafe-bench/config.yaml

@@ -0,0 +1,13 @@
+params:
+  - key: mode
+    label: Test Mode
+    type: select
+    options: [full, quick]
+    default: full
+    description: "Which test mode: full (40 tests) or quick (10 tests — 2 per category)"
+
+  - key: noOpen
+    label: Don't auto-open report
+    type: boolean
+    default: false
+    description: Skip opening the HTML report in browser after completion

skills/analysis/homesafe-bench/deploy.sh

@@ -0,0 +1,8 @@
+#!/bin/bash
+# HomeSafe-Bench deployment script
+# Runs npm install to fetch openai SDK dependency
+
+set -e
+cd "$(dirname "$0")"
+npm install
+echo "✅ HomeSafe-Bench dependencies installed"