by six-nut · Codex Skill · ★ 310
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
None of the 42 rules matched — no credential harvesting, no data exfiltration, no curl-pipe-shell installer. Scanned against 42 published rules built on the SlowMist agent-security taxonomy, refreshed every 8 hours. Full audit →
The quality score combines nine heuristic checks of the repo and its README: completeness, clarity, specificity, examples, structure, agent readiness, step-by-step content, instruction quality and security notes. It rates how well the project explains itself to an agent, not the code.
| Stars | 310 |
| Forks | 0 |
| Language | Python |
| Category | Codex Skill |
| License | MIT |
| Quality Score | 70/100 |
| Last Updated | 2026-10-01 |
| Created | 2026-08-17 |
| Platforms | codex, python |
| Est. Tokens | ~15k |
PocketMen with You Turn 2+ photos into a high-fidelity Codex companion — locally. v0.3: Neural Local Studio. No hatch-pet. No OpenAI API key. Open-weight multi-reference editing when your GPU can run it. Try now · ⭐ Star · Share example 简体中文 Why v0.3 exists The deterministic v0.2 engine was reliable and private, but it could only warp supplied pixels.
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Grades come from a rule-based scan built on the SlowMist agent-security taxonomy: 42 published rules, covering credential harvesting, data exfiltration, curl | sh installers and more. It is a first-layer scan, not a manual audit — we say so rather than overstate it.
The scale of the problem is documented independently: Liu et al. (2026), in a study of 31,132 agent skills, report that 26.1% contain security vulnerabilities. Our own full-catalog census is published as a citable open dataset.
Sources & who's responsible: