Review Reviews

Enter planning mode. Audit every skill in .claude/skills/ for mechanical inaccuracies that would mislead an agent running the skill. Use maximum parallelism — the skills are independent.

Why This Matters

Skills reference specific file paths, tool names, tool flags, function names, architecture claims, and each other. All of these drift as the codebase evolves — files get renamed, tools gain or lose flags, architecture gets refactored. A skill that tells an agent to "read gui_store.ahk" when that file was renamed six months ago wastes tokens and produces confused findings. A "Known Safe" pattern copied from a rules file that was since updated gives stale safety guidance.

Phase 1 — Identifier Cross-Reference (Mechanical, High Confidence)

For each skill in .claude/skills/*/SKILL.md, extract every concrete identifier and verify it against the current codebase.

What to extract and verify

• File paths — any .ahk, .ps1, .py, .md path mentioned. Does the file exist at that path? Use glob to check.
• Function names — any FunctionName() or _FunctionName() referenced. Does it exist? Use query_function_visibility.ps1 to check.
• Global variable names — any gSomething referenced. Does it exist? Use query_global_ownership.ps1 to check.
• Tool names — any query_*.ps1 or check_*.ps1 referenced. Does the tool exist in tools/ or tests/?
• Config key names — any config key referenced by name. Does it exist in the registry? Use query_config.ps1 to check.
• IPC message types — any IPC_MSG_* referenced. Does it exist? Use query_ipc.ps1 to check.
• Skill cross-references — any mention of another skill by name (e.g., "that's review-race-conditions territory"). Does that skill exist in .claude/skills/?

Classification

• Broken: The identifier doesn't exist. Agent following this skill will hit a dead end.
• Renamed: The identifier was renamed — old name gone, similar new name exists. Skill needs updating.
• Current: The identifier exists and the reference makes sense.

Phase 2 — Tool Flag Verification (Mechanical, High Confidence)

Skills reference tools with specific flags and usage patterns. Verify these still work.

For each tool referenced in a skill:

1. Read the tool's source (the .ps1 or .py file) to extract its actual parameter definitions
2. Compare against what the skill claims — does -Discover still exist? Is the positional parameter still positional? Did the output format change?
3. Flag any mismatches

Common drift patterns:

• Flag renamed (-Query → positional parameter)
• Flag added (tool gained a new flag the skill doesn't mention — not a bug, but worth noting if it would improve the skill's methodology)
• Flag removed (skill references a flag that no longer exists)
• Tool moved (tests/ → tools/)

Phase 3 — Architecture and Rules Consistency (Medium Confidence)

Architecture claims

Skills make claims about the project's architecture — process model, data flow, what lives where. Cross-reference against:

• .claude/rules/architecture.md — the canonical architecture description
• .claude/rules/ahk-patterns.md — language patterns and conventions
• .claude/rules/keyboard-hooks.md — hook and Critical section patterns
• Other rules files as relevant

Flag any contradictions between what a skill says and what the rules files say. The rules files are the source of truth.

Known Safe pattern drift

Several skills contain "Known Safe — Do NOT Flag" sections that duplicate patterns from rules files. These are particularly dangerous when stale — they tell agents to ignore something that may no longer be safe.

For each Known Safe pattern in a skill:

1. Find the canonical source in .claude/rules/
2. Compare the skill's version against the rules file version
3. Flag any drift — additions, removals, or wording changes in the rules that aren't reflected in the skill

Cross-skill scope claims

Skills reference each other's scope ("Critical section restructuring is review-race-conditions territory", "buffer loops are review-mcode territory"). Verify:

1. The referenced skill exists
2. The referenced skill actually covers the claimed scope
3. No two skills claim the same scope in contradictory ways

Phase 4 — Structural Consistency (Low Priority)

Optional — only if the above phases don't fill the plan. Check whether skills follow consistent patterns:

• Do all skills have the same YAML frontmatter fields?
• Do all skills end with "Ignore any existing plans — create a fresh one"?
• Do all skills have a Validation section with the cite-evidence / counter-argument / observed-vs-inferred requirements?
• Are plan format tables consistent across skills that audit similar things?

These are style issues, not correctness — report them but don't prioritize over Phase 1–3 findings.

Scope

All files in .claude/skills/*/SKILL.md. Also check .claude/rules/*.md as cross-reference targets (but don't audit the rules files themselves — they're the source of truth, not the skills).

Do NOT audit non-review skills (like ship, worktree, clean-all, merge-all, issue-from-plan, profile) unless they reference codebase identifiers that could drift.

Explore Strategy

Split by skill batch (run in parallel). Each agent gets a group of skills and performs Phase 1 + Phase 2 for those skills:

• Performance skills — review-latency, review-blocking, review-criticals, review-mcode, review-resource-leaks, review-paint, review-d3d
• Correctness skills — review-race-conditions, review-option-interaction, review-comments, review-ahk2, review-reentrancy
• Static analysis skills — review-static-coverage, review-static-history, review-static-lintignore, review-static-speed
• Test/tool skills — review-test-coverage, review-test-quality, review-test-speed, review-test-skips, review-test-reliability, review-tool-coverage, review-tool-speed
• Code structure skills — review-dead-code, review-code-quality, review-function-visibility, review-ownership-manifest, review-file-size, review-constants-to-configs
• Rendering skills — review-shaders, review-shaders-open
• UX/meta skills — review-professionalism, review-debug, review-outside-box, review-reviews

Phase 3 (architecture/rules consistency) should run as a separate pass after Phase 1/2, since it requires cross-referencing findings across skills.

Validation

After explore agents report back, validate every finding yourself.

For each candidate:

1. Cite evidence: Quote the skill text containing the stale reference AND show the verification (glob result, tool source, rules file quote).
2. Confirm it's actually stale: A file path like gui_store.ahk in an example table might be illustrative, not a real reference. Only flag references the agent would actually try to follow.
3. Propose the fix: Don't just say "stale" — provide the updated reference. "Change gui_store.ahk to gui_data.ahk" or "Change -Query <name> to positional <name>."
4. Check if the skill's methodology is affected: A stale file name in the explore strategy is worse than one in an example table. A broken tool flag makes a whole phase of the skill fail. Rank by impact on the skill's effectiveness.

Plan Format

Section 1 — Broken/renamed identifiers (Phase 1):

Section 2 — Tool flag mismatches (Phase 2):

Section 3 — Architecture/rules drift (Phase 3):

Section 4 — Cross-skill scope conflicts (Phase 3):

Section 5 — Structural inconsistencies (Phase 4, if applicable):

Order by impact: broken references that would cause skill failure first, cosmetic inconsistencies last.

Ignore any existing plans — create a fresh one.