by rehan-remade · AI Tool · ★ 54
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 | 54 |
| Forks | 15 |
| Language | Python |
| Category | AI Tool |
| License | Apache-2.0 |
| Quality Score | 66/100 |
| Last Updated | 2026-10-07 |
| Created | 2026-10-07 |
| Platforms | browser, python |
| Est. Tokens | ~15k |
https://github.com/user-attachments/assets/a54b7354-3331-408f-9fdb-aa5be35c8392 Recorded live, with sound (1:37) · download the mp4 open-annie is an open-source 3D character you talk to in the browser. One model talks: GPT-Live-1, a full-duplex speech model, speaks with you over WebRTC.
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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: