by leockl · Agent Tool · ★ 116
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.
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 | 116 |
| Forks | 13 |
| Language | Jupyter Notebook |
| Category | Agent Tool |
| License | MIT |
| Quality Score | 62/100 |
| Open Issues | 4 |
| Last Updated | 2025-06-04 |
| Created | 2025-02-15 |
| Est. Tokens | ~60k |
Tool-Ahead-of-Time (TAoT): Because Why Wait? 🕒 Ever found yourself staring at a shiny new LLM through LangChain's window, but can't use tool calling because it's "not supported yet"? Sad agent noises 😢 Well, hold my JSON parser, because this repo says "NOT TODAY!" 🦾 What is this sorcery? 🧙♂️ This is a Python package that enables tool calling for any model available through LangChain's...
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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: