code-review

📁 kdcokenny/opencode-workspace 📅 11 days ago
2
总安装量
2
周安装量
#66099
全站排名
安装命令
npx skills add https://github.com/kdcokenny/opencode-workspace --skill code-review

Agent 安装分布

amp 2
gemini-cli 2
github-copilot 2
codex 2
kimi-cli 2
cursor 2

Skill 文档

Code Review Philosophy

TL;DR

Systematic code review across 4 layers with severity classification. Only report findings with ≥80% confidence. Include file:line references for all issues.

When to Use This Skill

  • Before reporting implementation completion
  • When explicitly asked to review code
  • When using the /review command
  • As an independent audit after code changes

The 4 Review Layers

Layer 1: Correctness

  • Logic errors and edge cases
  • Error handling completeness
  • Type safety and null checks
  • Algorithm correctness
  • Off-by-one errors

Layer 2: Security

  • No hardcoded secrets or API keys
  • Input validation and sanitization
  • Injection vulnerability prevention (SQL, XSS, command)
  • Authentication and authorization checks
  • Sensitive data not logged
  • OWASP Top 10 awareness

Layer 3: Performance

  • No N+1 query patterns
  • Appropriate caching strategies
  • No unnecessary re-renders (React/frontend)
  • Lazy loading where appropriate
  • Memory leak prevention
  • Algorithmic complexity concerns

Layer 4: Style & Maintainability

  • Adherence to project conventions (check AGENTS.md)
  • Code duplication (DRY violations)
  • Complexity management (cyclomatic complexity)
  • Documentation completeness
  • Test coverage gaps

Severity Classification

Severity Icon Criteria Action Required
Critical 🔴 Security vulnerabilities, crashes, data loss, corruption Must fix before merge
Major 🟠 Bugs, performance issues, missing error handling Should fix
Minor 🟡 Code smells, maintainability issues, test gaps Nice to fix
Nitpick 🟢 Style preferences, naming suggestions, documentation Optional

Confidence Threshold

Only report findings with ≥80% confidence.

If uncertain about an issue:

  • State the uncertainty explicitly: “Potential issue (70% confidence): …”
  • Suggest investigation rather than assert a problem
  • Prefer false negatives over false positives (reduce noise)

Review Process

  1. Initial Scan – Identify all files in scope, understand the change
  2. Deep Analysis – Apply all 4 layers systematically to each file
  3. Context Evaluation – Consider surrounding code, project patterns, existing conventions
  4. Philosophy Check – Verify against code-philosophy (5 Laws) if applicable
  5. Synthesize Findings – Group by severity, deduplicate, prioritize

Output Format

Structure your review as:

  1. Files Reviewed – List all files analyzed
  2. Overall Assessment – APPROVE | REQUEST_CHANGES | NEEDS_DISCUSSION
  3. Summary – 2-3 sentence overview
  4. Critical Issues (🔴) – With file:line references
  5. Major Issues (🟠) – With file:line references
  6. Minor Issues (🟡) – With file:line references
  7. Positive Observations (🟢) – What’s done well (always include at least one)
  8. Philosophy Compliance – Checklist results if applicable

What NOT to Do

  • Do NOT report low-confidence findings as definite issues
  • Do NOT provide vague feedback without file:line references
  • Do NOT skip any of the 4 layers
  • Do NOT forget to note positive observations
  • Do NOT modify any files during review
  • Do NOT approve without completing the full review process

Adherence Checklist

Before completing a review, verify:

  • All 4 layers analyzed (Correctness, Security, Performance, Style)
  • Severity assigned to each finding
  • Confidence ≥80% for all reported issues (or uncertainty stated)
  • File names and line numbers included for all findings
  • Positive observations noted
  • Output follows the standard format