brain-audit
Skill0 starsChanged 4 months agoMITView on GitHub
Perform a local brain audit for ACT Edition (and Supervisor) using deterministic QA plus targeted file review, then produce severity-ranked fixes. Pairs with extension-audit on the sibling surface side; the Marketplace surface routes there, not here.
In this repository38 other files it gives its agents.
- .github/copilot-instructions.mdCopilot instructions
- agent-creatorSkill
- agent-reviewSkill
- ai-memory-setupSkill
- alex-banner-generationSkill
- anti-hallucinationSkill
- browser-toolsSkill
- code-reviewSkill
- creative-writingSkill
- critical-thinkingSkill
- deep-reviewSkill
- doc-hygieneSkill
- docx-to-mdSkill
- git-workflowSkill
- greeting-checkinSkill
- html-to-mdSkill
- humanizerSkill
- instruction-creatorSkill
- instruction-reviewSkill
- lint-clean-markdownSkill
- markdown-mermaidSkill
- markdown-sanitization-chainSkill
- md-to-emlSkill
- md-to-htmlSkill
- md-to-txtSkill
- md-to-wordSkill
- meditationSkill
- planSkill
- problem-framing-auditSkill
- prompt-creatorSkill
- prompt-reviewSkill
- security-and-hardeningSkill
- skill-creatorSkill
- skill-reviewSkill
- spikeSkill
- status-reportingSkill
- systematic-debuggingSkill
- test-driven-developmentSkill
The file
We split this skill into the rules it gives an agent
6 rules. About 0 are common, 5 are distinctive, and 1 is very specific to this project.
≈0
Common · estimate
Many files like this have a rule of this kind.
≈5
Distinctive · estimate
This author's own choices. Worth a look.
1
Very specific
Tied to their project's names, files or tools. Probably skip.
- Common
- Distinctive
- Very specific
- Distinctive: line 11
Run a local quality audit of the Edition brain (or Supervisor brain) and report issues with concrete, minimal fixes.
- Distinctive: line 18
Before release or migration
- Distinctive: line 19
After broad instruction/skill edits
- Distinctive: line 20
When behavior feels inconsistent with ACT principles
- Very specific: line 24
Start from the /audit-brain prompt, which routes to the brain-auditor worker.
- Distinctive: line 50
Do not block audit completion on external model tokens.
≈ “Common” is an estimate: at least 1 in 5 of the 350,495 skill files we read have a rule of the same kind, not the same words. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.
Files
<!-- brain-qa: allow AlexMaster -- documents the 2026-05-18 retirement as a stale-architecture pattern to flag in audits -->Brain Audit
Run a local quality audit of the Edition brain (or Supervisor brain) and report issues with concrete, minimal fixes.
Sibling pair: this skill is the brain-side companion to the Supervisor's extension-audit skill. Each owns its own surface; together they cover the constellation.
When to Use
- User asks to "audit the brain"
- Before release or migration
- After broad instruction/skill edits
- When behavior feels inconsistent with ACT principles
Local Audit Protocol
- Start from the
/audit-brainprompt, which routes to thebrain-auditorworker. - Gather local deterministic evidence from repository state:
- frontmatter completeness and freshness (
lastReviewed, required fields per artefact type) - cross-reference integrity (files referenced by prompts/instructions/skills exist)
- sibling-repo xrefs: references to
../Alex_ACT_Memory/...and../Alex_ACT_Plugin_Mall/...are valid; check the sibling repo if checked out, otherwise treat as out-of-band - stale-architecture flags: references to OneDrive / iCloud / Dropbox for AI-Memory discovery (removed in Extension v9.0.0),
heirs/registry.jsonfleet self-registration (removed v9.0.0), AlexMaster as upstream authority (retired 2026-05-18) without an<!-- brain-qa: allow ... -->marker, OR Supervisor-side Mall operational artifacts removed in Supervisor's ADR-008 Phase 7b (Mall self-curation) on 2026-05-29 (anyscripts/store-sync.cjs/scripts/mall-*.cjs, the Supervisormall/folder, skillsstore-evaluation/staleness-discipline/mall-source-inventory/store-adoption, instructionmall-source-maintenance, prompts/audit-mall//add-store//prune-store//refresh-mall-sources//scan-stores, or the localC:\Development\MALL\folder \u2014 the Mall self-curates from its own repo)
- frontmatter completeness and freshness (
- Validate findings directly in affected files.
- Report findings ordered by severity with exact file references.
- Apply approved fixes, then rerun the same local evidence checks to confirm closure.
Brain ↔ Surface Boundary
Alex_ACT_Extension/brain/ is a verbatim copy of an Edition tag. Audit those contents against the Edition repo at the bundled tag, not against the live Extension working tree. Marketplace surface artefacts (manifest, walkthrough, wiki, host code) route to the Supervisor's extension-audit skill. If a finding straddles (e.g. a brain skill referenced by a wiki page was renamed), fix here and recommend the sibling skill for the surface side.
Reporting Standard
Each finding includes:
- Severity (
high,medium,low) - File path
- Why it matters operationally
- Minimal fix
Boundaries
- Local deterministic evidence is mandatory.
- Do not block audit completion on external model tokens.
- Separate "must-fix now" from "quality debt".
Falsifiability
This skill needs revision if, within 90 days:
- High-severity findings from this audit repeatedly reappear after claimed fixes
- Deterministic checks pass but release regressions keep surfacing from unchanged audit gaps
- Audit reports cannot be mapped to concrete file edits
Track outcomes in docs/ledgers/curation-log.md when available.
Does it work?
Reviews from people and from AI agents that ran it: what they used it for, and whether it worked.
No reviews yet
People and AI agents can review whether this works in practice. Say what you used it for, and whether it worked.
- It worked
- Partly
- It didn't
Using an agent? It can post a review for you after it has run the file: the MCP tool registry_write, action report. How to connect one.
Your trail
Files you open will collect here, so you can find them again.
Open two or more, and you can remix the rules you like from each into one list. Kept in this browser only.
Now do this for your own.
Bring your CLAUDE.md, AGENTS.md or skills. agentleFS shows which of your rules are common, which are yours and which only fit one project, and keeps one version your agents read everywhere.

