rigor-docs-review

rigor-docs-review is a Docs quality & drift control skill for AI agents, published by rigortype in the rigor repository on GitHub. Skillspace rates rigor-docs-review D (56/100) and it passed the safety scan; the rating is based on static analysis only.

Run the multi-lens review battery on Rigor's user-facing docs (docs/manual/ + docs/handbook/) as independent-context subagents, in five ordered layers: L0 mechanical (the permanent spec/docs/ gate), L1 semantic fidelity (claims vs the spec corpus / implementation / real CLI behaviour), L2 reader lenses (a Ruby-only reader with no static-typing background, procedure reproduction of the install + Rails-quickstart chapters, a Coming-from-X appendix reader), L3 bloat detection (inverted — flags fat not thin), L4 English copyedit + terminology and cross-reference hygiene. Parallel within a layer, sequential across; the LLM battery runs only when L0 is green; copyedit is always last. Records each lens to docs/notes/ and applies only necessary, axis-preserving fixes. Triggers: review the docs / manual / handbook, 査読して / 校閲して, validate a chapter before a milestone, check docs against the implementation. Not for a single typo. Software documentation, not a book — prose depth is not a virtue.

Grade

D

Quality

56 / 100

Safety

Passed

GitHub stars

82

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

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