plugins/pensive/skills/tiered-audit/SKILL.md
Runs a three-tier codebase audit (git history, targeted scans, full review) with gating. Use when auditing a codebase before release or after incidents.
npx skillsauth add athola/claude-night-market tiered-auditInstall this skill globally with one command. Works with Claude Code, Cursor, and Windsurf.
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Always runs first. Analyzes git log, diff stats, and blame to identify areas of concern without reading any source files.
Run these git commands for the target commit range (default: current branch vs main):
# 1. Churn hotspots: files changed most often
git log --format="" --name-only {base}..HEAD \
| sort | uniq -c | sort -rn | head -20
# 2. Diff stats: size of changes per file
git diff --stat {base}..HEAD
# 3. Fix-on-fix patterns: commits fixing previous commits
git log --oneline {base}..HEAD \
| grep -iE "(fix|revert|patch|hotfix)"
# 4. New file clusters: modules with many new files
git diff --name-status {base}..HEAD \
| grep "^A" | cut -f2 \
| sed 's|/[^/]*$||' | sort | uniq -c | sort -rn
# 5. Large commits: single commits with big diffs
git log --format="%h %s" --shortstat {base}..HEAD
Verification: Confirm each command produces output.
If a command returns empty, the commit range may be wrong;
verify {base} resolves correctly with git merge-base.
Write findings to .coordination/agents/tier1-audit.findings.md:
---
agent: tier1-audit
tier: 1
evidence_count: {N}
---
## Summary
{1-2 sentence overview of what the git history reveals}
## Churn Hotspots
{top 10 most-changed files with change counts}
For each flagged file, include:
- Location: path/to/file.py:line (most-changed function or block)
- Anchor: `verbatim source text at that line`
[E1] Command: git log --format="" --name-only ...
Output: {relevant output}
## Fix-on-Fix Patterns
{commits that fix previous commits in the same area}
[E2] Command: git log --oneline ... | grep -iE ...
Output: {relevant output}
## New File Clusters
{modules with 5+ new files}
## Large Diffs
{commits with 200+ line changes}
## Escalation Recommendation
{list of areas flagged for Tier 2, or "no escalation needed"}
After Tier 1 completes, check findings against the
escalation criteria in modules/escalation-criteria.md.
If NO criteria are met: audit is complete. Report findings.
If criteria ARE met: list flagged areas and proceed to Tier 2 for each area sequentially.
Runs only for areas flagged by Tier 1. Each flagged area is audited one at a time, not in parallel.
For each flagged area:
One findings file per area:
.coordination/agents/tier2-{area-name}.findings.md
Each file follows the output contract for audits (see imbue:proof-of-work/modules/output-contracts).
Requires explicit user approval. See
modules/escalation-criteria.md for the gate protocol.
Tier 3 should use dedicated sessions (one per area) with file-based coordination, NOT parallel subagents.
All tiers use this contract:
output_contract:
required_sections:
- summary
- evidence
min_evidence_count: 3 # Tier 1
# min_evidence_count: 8 # Tier 2
expected_artifacts: []
retry_budget: 1
strictness: normal
Tier 2 raises the minimum evidence count to 8 because it reads source files and should produce deeper analysis.
Verification: After each tier completes, verify the
findings file exists and contains at least the minimum
evidence count ([E1], [E2], etc.) before proceeding
to the next tier or reporting results.
tiered-audit:findings-verified)Every finding must cite a real location and a verbatim anchor. Write
findings to .review/findings.json and confirm each citation resolves:
python plugins/imbue/scripts/citation_verifier.py \
--findings .review/findings.json --repo-root .
Drop or label UNVERIFIED any finding the verifier fails (exit 1); only
verified findings enter the report. See Skill(imbue:review-core) Step 5
and Skill(imbue:structured-output) for the schema.
.coordination/agents/tier1-audit.findings.md and contains
at least 3 evidence entries ([E1]–[E3]).Location + verbatim Anchor
confirmed by citation_verifier.py (exit 0), or unverified
findings were dropped or labeled UNVERIFIED.research
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tools
--- name: validate-pr description: Use when you need a diff-derived test plan for a PR: reads the diff, groups changes by area, runs targeted verifications, and proves revert-tests are genuine guards, not dead assertions. alwaysApply: false category: validation tags: - pr - validation - test-plan - diff - revert-test - evidence tools: [] usage_patterns: - diff-derived-test-plan - revert-test-quality-check - evidence-capture complexity: intermediate model_hint: standard estimated_tokens: 650
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