by ory · MCP Server · ★ 313
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
/plugin install lumen@ory
git clone https://github.com/ory/lumen.git "$CODEX_HOME/lumen"Taken 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 | 313 |
| Forks | 37 |
| Language | Go |
| Category | MCP Server |
| Quality Score | 66/100 |
| Open Issues | 29 |
| Last Updated | 2026-10-11 |
| Created | 2026-02-27 |
| Platforms | claude-code, codex, gemini, go, mcp |
| Est. Tokens | ~20k |
Claude reads entire files to find what it needs. Lumen gives it a map. Lumen is a 100% local semantic code search engine for AI coding agents. No API keys, no cloud, no external database, just open-source embedding models (Ollama or LM Studio), SQLite, and your CPU. A single static binary and your own local embedding server.
These tools work well together with lumen for enhanced workflows:
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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: