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Review Feedback Promoter

ASecurity

Convert repeated review findings into durable harness checks. Use when code review catches recurring agent mistakes that should become docs, tests, lint rules, boundary checks, validation scripts, or quality policy.

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  • Added September 12, 2026
code-qualitygotestingsecuritydocumentation

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A100/100

Pro scans all 2 files and shows the line behind each finding

Scanned September 12, 2026

npx -y skills add pax-k/pax-fullstack-harness --skill review-feedback-promoter --agent claude-code

Installs into .claude/skills of the current project.

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SKILL.md
---
name: review-feedback-promoter
description: Convert repeated review findings into durable harness checks. Use when code review catches recurring agent mistakes that should become docs, tests, lint rules, boundary checks, validation scripts, or quality policy.
---

# Review Feedback Promoter

## Purpose

Turn recurring human or agent review feedback into reusable harness defenses instead of repeating the same comment.

## Inspect First

- recent review findings, `agent-reviewer` output, quality docs, lint/boundary/test scripts, architecture docs, dependency/security policies, and known repeated defects

## Procedure

1. Classify each finding.
   - Documentation rule for knowledge gaps.
   - Test for behavior gaps.
   - Boundary or lint check for mechanical architecture gaps.
   - Security/dependency/migration check for governance gaps.
   - Entropy/golden-pattern update for consistency gaps.

2. Record promotions.
   - Create or update `docs/quality/review-feedback-promotions.md`.
   - Include source finding, promoted defense, validation command, owner, and status.

3. Add the lightest durable defense.
   - Prefer existing project-native checks.
   - Add scripts only when deterministic and repeatable.
   - Avoid broad rules that create false positives.

4. Route specialized fixes.
   - Use `architecture-boundary-enforcer` for import/layer issues.
   - Use `testing-strategy-builder` or `tdd-playwright-workflow` for behavior gaps.
   - Use `documentation-sync-enforcer`, `security-baseline`, or `dependency-governance` for specialized policy gaps.

## Validation

- Confirm each promotion maps to a real repeated finding.
- Confirm each new rule has a command, doc location, or test path.
- Confirm the defense is specific enough to avoid noisy failures.

## Completion Criteria

- Repeated review feedback has a durable follow-up path.
- The harness grows stronger without bloating root instructions or adding unnecessary tools.

Files in this skill

  • SKILL.md1.9 KB
  • agents/openai.yaml226 B

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