doc-drift — independently scanned and version-tracked by SaferSkills.
SaferSkills independently audited doc-drift (Agent Skill) and scored it 100/100 (green). The audit ran 55 deterministic rules across Security, Supply Chain, Maintenance, Transparency, and Community; it found 0 high-severity and 0 lower-severity findings. The full rule-by-rule trace and per-finding evidence are below. Free, methodology-open.
Findings & checks · 0 flagged
Every scanned point with the score it earned and what moved between them.
First recorded scan — no prior version to compare against.
The primary manifest — the file an agent reads to learn what this artifact does.
Respond in the user's preferred language (detect from their recent messages, or fall back to the language setting in CLAUDE.md).
Compare design documents against actual code/configuration, find inconsistencies, and output a prioritized attention list.
Arguments: $ARGUMENTS
--module <name>: only check the specified moduleDiscover the project's documentation and code structure:
Docs/, Documentation/, or any directory referenced in CLAUDE.mdAssets/Scripts/, Assets/Plugins/, src/, or the project's main code directoriesIf the user specified --module, only scan that module. Otherwise, group all discovered modules and dispatch parallel subagents (subagent_type: "general-purpose", model: "opus") — one per group (max 5 groups).
Each subagent prompt must include:
You are a document-code consistency auditor. Read all rules, states, enums, and numeric parameters defined in the design documents, then search for corresponding implementations in the code and verify each one.
Focus on:
- Features defined in docs but not implemented in code (entire subsystems or individual features)
- Features implemented in code but not mentioned in docs
- Numeric parameter mismatches (doc value vs code value, with exact numbers)
- Enum value / state name mismatches
- Formula inconsistencies (doc formula vs actual code calculation)
- Architectural model deviations (doc uses model A, code uses model B)
For each inconsistency output:
- Location: doc path vs code path (with line numbers)
- What's inconsistent: what the doc says vs what the code does
- Severity: P0 (missing feature / bug / core formula error), P1 (value deviation / naming mismatch / architecture difference), P2 (outdated doc but no functional impact)
End with a summary table.After all subagents return, consolidate into:
## Global Summary
| Module | P0 | P1 | P2 |
## P0 List (by category)
### A. Missing Subsystems (doc has full design, code has nothing)
### B. Functional Bugs
### C. Critical Formula/Value Deviations
### D. Architecture Model Mismatches
### E. Status Effects Not Wired Up
## Overall Assessment
Distinguish "not yet built" from "built wrong", and highlight items needing immediate attention.After the drift analysis completes, recommend the next step:
/qq:commit-push to ship it?"/qq:commit-push?"/qq:test?"`--auto` mode: skip asking:
/qq:commit-push/qq:test --auto~30 seconds. Free. No account. Every finding cites a rule and a line of evidence.