by abinthomasonline · LLM Plugin · ★ 1.8k
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git clone https://github.com/abinthomasonline/repo2txt.gitTaken from the project's README on GitHub. Check the security audit before running it.
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 | 1,839 |
| Forks | 219 |
| Language | TypeScript |
| Category | LLM Plugin |
| Quality Score | 68/100 |
| Open Issues | 4 |
| Last Updated | 2026-10-22 |
| Created | 2024-09-23 |
| Platforms | browser, node |
| Est. Tokens | ~15k |
repo2txt 💡 Looking for the classic version? Check out repo2txt-classic Convert repositories to plain text for LLM prompts Fast, browser-based tool for AI-assisted development 🔗 Try it now → ✨ Features 🔌 Multiple Sources GitHub - Public and private repositories with token support Local Files - Directory picker for your local projects Zip Upload - Drag & drop zip files GitLab (Beta) - GitLab...
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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: