by ZacharyZcR · LLM Plugin · ★ 287
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
git clone https://github.com/ZacharyZcR/SecGPT.gitTaken 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 | 287 |
| Forks | 76 |
| Language | Python |
| Category | LLM Plugin |
| License | Apache-2.0 |
| Quality Score | 70/100 |
| Last Updated | 2023-11-15 |
| Created | 2023-06-27 |
| Platforms | python |
| Est. Tokens | ~13k |
SecGPT SecGPT is an open-source project inspired by AutoGPT, borrowing from its prompts and design patterns, but with significant code refactoring. As a solo developer project, we cannot guarantee the full quality of the code, but it has been extensively optimized and refactored in conjunction with GPT-4. We hope this will improve the overall code quality to some extent.
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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: