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Code Review Checklist

skill-matthewbspeicher-remembr-dev-code-review-checklist · by matthewbspeicher

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

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Install

$ agentstack add skill-matthewbspeicher-remembr-dev-code-review-checklist

✓ scanned · ✓ verified, works with Claude Code, Cursor, and more.

Security review

✓ Passed

No issues found. Passed automated security review. · v0.1.0 How review works →

  • Prompt-injection patterns
  • Secret / credential exfiltration
  • Dangerous shell & filesystem operations
  • Untrusted network calls
  • Known-malicious package signatures
View the full security report →

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Reliability & compatibility

Security review passed
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Declared compatibility

Claude CodeClaude Desktop

Compatibility is declared by the source manifest. End-to-end runtime verification is coming, see below.

Preview Execution monitoring

We're building live execution health for every listing: tool-call success rate, median latency, uptime, and last-checked timestamps, measured, not self-reported. It isn't live yet, so we don't show numbers we can't stand behind.

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About

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 (2025)

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

// ❌ 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

// ❌ 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?

Source & license

This open-source skill is cataloged on AgentStack and links to its original source — we do not rehost the code.

Install and usage instructions live in the source repository linked above.

Reviews

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Versions

  • v0.1.0 Imported from the upstream source.