# Doctor

> Run a health check on the bundled Lumen semantic search setup for the current project, verify backend reachability and index freshness, and summarize remediation steps.

- Skill: `ory/doctor` (Agent Skill)
- Install (CLI): `npx skillmds@latest add ory/doctor`
- Raw SKILL.md: https://api.skillmd.com/api/skills/ory/doctor/raw
- Safety review: pending
- Works with: Claude Code, Claude.ai, OpenAI Codex
- Category: Research & Search
- Author: ory (https://skillmd.com/u/ory)
- Updated: 2026-09-17
- Page: https://skillmd.com/skills/ory/doctor

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# Lumen Doctor

Run a health check on the bundled Lumen semantic search setup for the current
project.

## Steps

1. Call the Lumen `health_check` tool to verify the embedding service is
   reachable.
2. Call the Lumen `index_status` tool with `path` or `cwd` set to the current
   working directory to check index freshness.
3. Report a concise summary:
   - Embedding service status, backend, host, and model
   - Index totals: files, chunks, last indexed time, stale or fresh
   - Storage totals: unique vectors, shared references, deduplication ratio,
     vector precision, database bytes, and reclaimable bytes
   - Any MCP or plugin setup issue that blocks the tools
4. If no index exists yet, explain that the Lumen `semantic_search` tool seeds
   the index on first use.
5. If the user wants eager indexing instead of waiting for the next search,
   suggest running `lumen index .` in the repository root.
6. Interpret storage totals as collection-wide values shared by compatible Git
   worktrees; file, chunk, freshness, and indexing values are project-local.
   A high deduplication ratio is expected and is not an index-health problem.