by ad-si · LLM Plugin · ★ 203
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cargo install cai
brew install caiTaken from the project's README on GitHub.
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 | 203 |
| Forks | 13 |
| Language | Rust |
| Category | LLM Plugin |
| License | ISC |
| Quality Score | 69/100 |
| Open Issues | 6 |
| Last Updated | 2026-10-17 |
| Created | 2024-03-28 |
| Platforms | claude-code, cli, rust |
| Est. Tokens | ~24k |
User friendly CLI tool for AI tasks Features High level commands for great usability - (OpenAI image generation) (Google Gemini image generation) - Check usage section for all commands Build with Rust 🦀 for supreme performance and speed! 🏎️ Support for models by [Anthropic] [OpenAI] [Google] [Groq] [Cerebras] [Deepseek] [xAI] Local LLMs via [Ollama] and [Llamafile] Prompt several models at...
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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: