Menu
Run verification and drift checks on the AI knowledge-base to identify missing documentation or stale references.
Instalar com Codex ou Claude Copie este prompt, cole no Codex, Claude ou outro assistente e deixe que ele revise a página da skill e instale para você.
Baseado na classificação ocupacional SOC
| name | check-drift |
| description | Run verification and drift checks on the AI knowledge-base to identify missing documentation or stale references. |
| disable-model-invocation | true |
Run the mechanical verification and drift analysis to inspect the state of the ai/ knowledge-base:
node install.mjs verify . --strictnode install.mjs drift . --git --strictgit status to inspect modified and untracked files.If any issues are reported, or if git status reveals newly added or modified source files/templates that are not yet covered in the maps:
ai/guide/MODULE_MAP.md or ai/guide/FEATURE_MAP.md to map new folders, files, or features, or to update stale verified dates.[inferred].Bootstrap the ai/ knowledge layer for a repo that has none — draft the MODULE_MAP, diagrams, and guide docs as [inferred] for a human to audit, touching no source code. Use when the maps are still placeholders or the user asks to cold-start, bootstrap, or onboard a repository.
Bootstrap the ai/ knowledge layer for a repo that has none — draft the MODULE_MAP, diagrams, and guide docs as [inferred] for a human to audit, touching no source code. Use when the maps are still placeholders or the user asks to cold-start, bootstrap, or onboard a repository.
Deep, judgement-based adversarial code audit — hunts for stale cross-references, unescaped interpolation, platform gaps, generated-file ownership conflicts, and cross-module consistency rot that no mechanical check can catch. Read-only; writes a dated findings report.
Kit-maintainer diagnostic (LOCAL-ONLY, not distributed) that audits the README and docs/ for staleness against the repo's real command/skill/CLI roster, stamped tree, and cross-doc consistency. Read-only; produces a severity-ranked findings report.
Deep-mine the source code to discover implemented features; writes ai/analysis/FEATURE_CATALOG.md.
Implement a spec from ai/lab/specs/ exactly as written — zero design decisions, stop-and-report on any spec-vs-reality conflict, tests are the definition of done. Built for lighter implementation models.