by shure-dev · Agent Tool · ★ 223
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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 | 223 |
| Forks | 24 |
| Category | Agent Tool |
| Quality Score | 49/100 |
| Open Issues | 3 |
| Last Updated | 2024-08-22 |
| Created | 2024-01-13 |
| Est. Tokens | ~35k |
Awesome-LLM-Related-Papers-Comprehensive-Topics We provide awesome papers and repos on very comprehensive topics as follows. CoT / VLM / Quantization / Grounding / Text2IMG&VID / Prompt Engineering / Prompt Tuning / Reasoning / Robot / Agent / Planning / Reinforcement-Learning / Feedback / In-Context-Learning / Few-Shot / Zero-Shot / Instruction Tuning / PEFT / RLHF / RAG / Embodied / VQA /...
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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: