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code-review-checklist

Code review guidelines covering code quality, security, and best practices.

Quellinformationen

Repository
vudovn/ag-kit
Letzte Quellaktivität
18. Juli 2026 um 12:54
Erkannte Sprache von SKILL.md
Englisch
Sterne
8.200
Forks
1.508

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.

SKILL.md wird angezeigt

SKILL.md
Quellanweisungen · Schreibgeschützte Vorschau
name
code-review-checklist
description
Code review guidelines covering code quality, security, and best practices.
when_to_use
When reviewing code for quality, security, and best practices. When the user says 'review my code' or 'check this PR'.
allowed-tools
Read, Glob, Grep
version
1.0.0
# Code Review Checklist ## Quick Review Checklist ### Correctness - [ ] Code does what it's supposed to do - [ ] Edge cases handled - [ ] Error handling in place - [ ] No obvious bugs ### Security - [ ] Input validated and sanitized - [ ] No SQL/NoSQL injection vulnerabilities - [ ] No XSS or CSRF vulnerabilities - [ ] No hardcoded secrets or sensitive credentials - [ ] **AI-Specific:** Protection against Prompt Injection (if applicable) - [ ] **AI-Specific:** Outputs are sanitized before being used in critical sinks ### Performance - [ ] No N+1 queries - [ ] No unnecessary loops - [ ] Appropriate caching - [ ] Bundle size impact considered ### Code Quality - [ ] Clear naming - [ ] DRY - no duplicate code - [ ] SOLID principles followed - [ ] Appropriate abstraction level ### Testing - [ ] Unit tests for new code - [ ] Edge cases tested - [ ] Tests readable and maintainable ### Documentation - [ ] Complex logic commented - [ ] Public APIs documented - [ ] README updated if needed ## AI & LLM Review Patterns ### Logic & Hallucinations - [ ] **Chain of Thought:** Does the logic follow a verifiable path? - [ ] **Edge Cases:** Did the AI account for empty states, timeouts, and partial failures? - [ ] **External State:** Is the code making safe assumptions about file systems or networks? ### Prompt Engineering Review ```markdown // ❌ Vague prompt in code const response = await ai.generate(userInput); // ✅ Structured & Safe prompt const response = await ai.generate({ system: "You are a specialized parser...", input: sanitize(userInput), schema: ResponseSchema }); ``` ## Anti-Patterns to Flag ```typescript // ❌ Magic numbers if (status === 3) { ... } // ✅ Named constants if (status === Status.ACTIVE) { ... } // ❌ Deep nesting if (a) { if (b) { if (c) { ... } } } // ✅ Early returns if (!a) return; if (!b) return; if (!c) return; // do work // ❌ Long functions (100+ lines) // ✅ Small, focused functions // ❌ any type const data: any = ... // ✅ Proper types const data: UserData = ... ``` ## Review Comments Guide ``` // Blocking issues use 🔴 🔴 BLOCKING: SQL injection vulnerability here // Important suggestions use 🟡 🟡 SUGGESTION: Consider using useMemo for performance // Minor nits use 🟢 🟢 NIT: Prefer const over let for immutable variable // Questions use ❓ ❓ QUESTION: What happens if user is null here? ```
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