docs

docs is a Docs quality & drift control skill for AI agents, published by thunder-id in the thunderid repository on GitHub. Skillspace rates docs D (68/100) and it passed the safety scan; the rating is based on static analysis only.

Handles every ThunderID documentation task in one skill: scaffolding a new page, writing content into an existing page, checking structural standards, reviewing writing quality/tone/AI-vocabulary, verifying technical accuracy, reviewing API documentation (OpenAPI specs and SDK reference pages) for consistency and accuracy, checking SEO/discoverability, or running the full pre-merge review. Use whenever asked to create, write, add, or fill in documentation; check, lint, or verify a doc page's standards; review a doc's style, tone, or quality; verify a doc's technical accuracy; review an OpenAPI spec or SDK API reference page; check a doc's SEO; do a full/complete review before merging a doc PR; or structure or audit a use-case section (`docs/content/use-cases/<pattern>/`) for page order, diagram design, jargon literacy, and a quality-bar score.

Grade
D
Quality
68 / 100
Safety
Passed
GitHub stars
577

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

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.

Our review

Architecture
100 / 100
Maturity
Basic: a single SKILL.md
Security scan
No issues found
License
Not declared. Check the repository before reusing it.

Not checked yet

  • Category is a classifier prediction; no model has read this skill yet
  • Not judged on the rubric yet (not a contender in its category)
  • No blind task eval yet
  • Scope (portable / vendor / repo-internal) not assessed; only the top of each category is read for scope
  • Sibling files (scripts, references) not fetched; security scan covers SKILL.md only

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