Doncheli Review

Perform strict 7-dimension peer review analyzing correctness, tests, performance, architecture, security, style, and diff cleanliness. Activate when user mentions "review", "revisar", "peer review", "code review", "check my code".

aibot88 Updated 3 repo stars

File contents

Don Cheli: 7-Dimension Peer Review

Dimensions

  1. Functional Correctness — All Gherkin P1/P2 scenarios implemented
  2. Tests & Coverage — Unit, integration, BDD tests pass; coverage >= 85%
  3. Performance — No N+1 queries, no unbounded queries, no O(n^2) where avoidable
  4. Architecture & Design — SOLID principles, separation of concerns, DI
  5. Security — Input validation, parameterized queries, no hardcoded secrets, auth on all protected endpoints
  6. Style & Conventions — Consistent naming, no unused imports/vars, no console.log
  7. Clean Diff — Only changes related to the feature

Adversarial Rule

You MUST find at least 1 concrete issue in every review. Zero findings triggers a mandatory second pass focused on: N+1 queries, race conditions, untested edge cases, sensitive data in logs, naming inconsistencies.

Output Format

For each finding: ID, severity (Critical/High/Medium/Low), file:line, description, suggested fix.

aibot88/sec_skill_store/tree/main/skills/claudskills/doncheli-review commit c516352889

Frequently asked questions

npx skillmds@latest add aibot88/doncheli-review