by aakarim · Agent Tool · ★ 1.1k
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
claude mcp add --transport http openlore http://localhost:8080/mcp
codex mcp add openlore --url http://localhost:8080/mcpTaken from the project's README on GitHub. Check the security audit before running it.
Flagged: sudo usage. 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 | 1,107 |
| Forks | 9 |
| Language | Go |
| Category | Agent Tool |
| License | Apache-2.0 |
| Quality Score | 72/100 |
| Open Issues | 4 |
| Last Updated | 2026-10-11 |
| Created | 2026-06-25 |
| Platforms | go |
| Est. Tokens | ~19k |
📜 OpenLore Sponsored by Give every AI agent on your team the same up-to-date knowledge. Point OpenLore at a folder of Markdown and every agent on your team reads the same files, whether it's Claude Code, Codex, Cursor or a CI job. Agents use the tools they already know, like , and . You decide who can see and change what.
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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: