by bitsofchris · AI Tool · ★ 134
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pip install openaugiTaken 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 | 134 |
| Forks | 15 |
| Language | Python |
| Category | AI Tool |
| License | Apache-2.0 |
| Quality Score | 64/100 |
| Last Updated | 2026-09-27 |
| Created | 2025-02-25 |
| Platforms | python |
| Est. Tokens | ~16k |
OpenAugi Your augmented knowledge base for Agentic work. Human Context for Agents You've become the bottleneck. Your notes are scattered. Your AI can't reach them. Every conversation starts from zero. Claude and ChatGPT memory keep you stuck in a weird bubble. You've built years of thinking in Obsidian, Google, ChatGPT — ideas, decisions, threads you've followed and dropped.
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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: