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code-review

Perform thorough code reviews with security, performance, and maintainability analysis. Use when user asks to review code, check for bugs, or audit a codebase.

Quellinformationen

Repository
shareAI-lab/learn-claude-code
Letzte Quellaktivität
21. Februar 2026 um 09:02
Erkannte Sprache von SKILL.md
Englisch
Sterne
78.362
Forks
12.554

Installationsoptionen

Standardmäßig ist der Prompt ausgewählt, der zuerst die Quelle prüft. Sie können zu einem direkten Befehl wechseln oder eine lokale Kopie herunterladen.

Quelldateien prüfen

Lesen Sie SKILL.md und alle von SkillsMP angezeigten Begleitdateien, bevor Sie sich für eine Installation entscheiden.

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SKILL.md
Quellanweisungen · Schreibgeschützte Vorschau
name
code-review
description
Perform thorough code reviews with security, performance, and maintainability analysis. Use when user asks to review code, check for bugs, or audit a codebase.
# Code Review Skill You now have expertise in conducting comprehensive code reviews. Follow this structured approach: ## Review Checklist ### 1. Security (Critical) Check for: - [ ] **Injection vulnerabilities**: SQL, command, XSS, template injection - [ ] **Authentication issues**: Hardcoded credentials, weak auth - [ ] **Authorization flaws**: Missing access controls, IDOR - [ ] **Data exposure**: Sensitive data in logs, error messages - [ ] **Cryptography**: Weak algorithms, improper key management - [ ] **Dependencies**: Known vulnerabilities (check with `npm audit`, `pip-audit`) ```bash # Quick security scans npm audit # Node.js pip-audit # Python cargo audit # Rust grep -r "password\|secret\|api_key" --include="*.py" --include="*.js" ``` ### 2. Correctness Check for: - [ ] **Logic errors**: Off-by-one, null handling, edge cases - [ ] **Race conditions**: Concurrent access without synchronization - [ ] **Resource leaks**: Unclosed files, connections, memory - [ ] **Error handling**: Swallowed exceptions, missing error paths - [ ] **Type safety**: Implicit conversions, any types ### 3. Performance Check for: - [ ] **N+1 queries**: Database calls in loops - [ ] **Memory issues**: Large allocations, retained references - [ ] **Blocking operations**: Sync I/O in async code - [ ] **Inefficient algorithms**: O(n^2) when O(n) possible - [ ] **Missing caching**: Repeated expensive computations ### 4. Maintainability Check for: - [ ] **Naming**: Clear, consistent, descriptive - [ ] **Complexity**: Functions > 50 lines, deep nesting > 3 levels - [ ] **Duplication**: Copy-pasted code blocks - [ ] **Dead code**: Unused imports, unreachable branches - [ ] **Comments**: Outdated, redundant, or missing where needed ### 5. Testing Check for: - [ ] **Coverage**: Critical paths tested - [ ] **Edge cases**: Null, empty, boundary values - [ ] **Mocking**: External dependencies isolated - [ ] **Assertions**: Meaningful, specific checks ## Review Output Format ```markdown ## Code Review: [file/component name] ### Summary [1-2 sentence overview] ### Critical Issues 1. **[Issue]** (line X): [Description] - Impact: [What could go wrong] - Fix: [Suggested solution] ### Improvements 1. **[Suggestion]** (line X): [Description] ### Positive Notes - [What was done well] ### Verdict [ ] Ready to merge [ ] Needs minor changes [ ] Needs major revision ``` ## Common Patterns to Flag ### Python ```python # Bad: SQL injection cursor.execute(f"SELECT * FROM users WHERE id = {user_id}") # Good: cursor.execute("SELECT * FROM users WHERE id = ?", (user_id,)) # Bad: Command injection os.system(f"ls {user_input}") # Good: subprocess.run(["ls", user_input], check=True) # Bad: Mutable default argument def append(item, lst=[]): # Bug: shared mutable default # Good: def append(item, lst=None): lst = lst or [] ``` ### JavaScript/TypeScript ```javascript // Bad: Prototype pollution Object.assign(target, userInput) // Good: Object.assign(target, sanitize(userInput)) // Bad: eval usage eval(userCode) // Good: Never use eval with user input // Bad: Callback hell getData(x => process(x, y => save(y, z => done(z)))) // Good: const data = await getData(); const processed = await process(data); await save(processed); ``` ## Review Commands ```bash # Show recent changes git diff HEAD~5 --stat git log --oneline -10 # Find potential issues grep -rn "TODO\|FIXME\|HACK\|XXX" . grep -rn "password\|secret\|token" . --include="*.py" # Check complexity (Python) pip install radon && radon cc . -a # Check dependencies npm outdated # Node pip list --outdated # Python ``` ## Review Workflow 1. **Understand context**: Read PR description, linked issues 2. **Run the code**: Build, test, run locally if possible 3. **Read top-down**: Start with main entry points 4. **Check tests**: Are changes tested? Do tests pass? 5. **Security scan**: Run automated tools 6. **Manual review**: Use checklist above 7. **Write feedback**: Be specific, suggest fixes, be kind
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