missing_docs

missing_docs is a Docs quality & drift control skill for AI agents, published by warpdotdev in the docs repository on GitHub. Skillspace rates missing_docs C (70/100) and it passed the safety scan; the rating is based on static analysis only.

Find and fill documentation gaps in Warp's Astro Starlight docs by auditing coverage against code surfaces in the public warp client repo and warp-server, then drafting missing pages. Use when asked to find missing docs, audit documentation coverage, identify undocumented features, draft docs for new features, detect doc-impacting code changes since the last audit, or do a docs coverage check. Runs a Python audit script (coverage + snapshot-based change detection), then researches source code and writes first-pass doc pages. Can run audit-only, draft-only, drift-watch (recurring agent), or end-to-end.

Grade

C

Quality

70 / 100

Safety

Passed

GitHub stars

40

Unproven: rated by static analysis only, not yet compared head-to-head.

Not launch-quality. It is graded C with a clean safety verdict, but our quality filters exclude it: it looks written only for the repository it lives in. So it is not in our launch-quality set, the skills our MCP server searches and recommends. How launch-quality is decided

Our two independent classifiers differ on this skill's category, so treat the placement as provisional.

This rating describes the version of the repository we crawled; it may have changed since, so go by its current files.

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