Install
$ agentstack add skill-developersglobal-ai-agent-skills-code-review ✓ scanned · ✓ verified, works with Claude Code, Cursor, and more.
Security review
✓ PassedNo 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
What it can access
- ✓ Network access No
- ✓ Filesystem access No
- ✓ Shell / process execution No
- ✓ Environment & secrets No
- ✓ Dynamic code execution No
From automated source analysis of v0.1.0. “Used” means the capability is present in the source — more access means more to trust, not that it’s unsafe.
Verified badge
Passed review? Show it. Paste this badge into your README, it links to the public security report.
Reliability & compatibility
Declared compatibility
Compatibility is declared by the source manifest. End-to-end runtime verification is coming, see below.
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.
How agent discovery & health will work →About
Overview
Code review is the last line of defense before code reaches production. This skill structures the review process to catch real issues — not just style preferences — and ensures every comment is actionable and proportionate.
When to Use
- Before merging any pull request
- When reviewing AI-generated code
- When auditing existing code for quality
Process
Step 1: Understand the Change
- Read the PR description fully — understand the intent before reading code.
- Check: Does the implementation match the stated intent?
- Identify the risk level: data mutation? auth changes? public API?
Verify: You understand what the PR is trying to accomplish.
Step 2: Correctness Review
- Does the code do what it claims to do?
- Are there off-by-one errors, null dereferences, or race conditions?
- Are all error cases handled?
- Do tests cover the happy path AND key failure paths?
Verify: You can trace the execution path for the primary use case and 2 failure cases.
Step 3: Security Review
- Apply [security-hardening skill](../security-hardening/SKILL.md) to any auth/input/data changes.
- Does this change open any OWASP Top 10 vulnerabilities?
- Are any secrets or PII handled correctly?
Step 4: Maintainability Review
- Will the next developer understand this code without the author present?
- Are functions doing one thing?
- Are names descriptive and accurate?
- Is complexity proportionate to the problem?
Step 5: Provide Actionable Feedback
- Every comment must be one of:
- Blocker: Must be fixed before merge
- Suggestion: Optional improvement
- Question: Needs clarification (not necessarily a problem)
- Blockers must be specific: "This SQL query is vulnerable to injection via
{username}— use parameterized queries." - Never leave vague comments like "this doesn't look right" without explaining why.
Common Rationalizations (and Rebuttals)
| Excuse | Rebuttal | |--------|----------| | "I'll review it quickly" | A rushed review is not a review. Take the time or ask someone who can. | | "The tests pass so it's fine" | Tests prove the code works for tested inputs, not that it's secure or maintainable. | | "I'll comment on style later" | Style comments without blocker separation waste everyone's time. Label them. |
Verification
- [ ] Correctness verified for primary and failure paths
- [ ] Security review applied to sensitive changes
- [ ] All comments labeled (blocker/suggestion/question)
- [ ] Tests reviewed for meaningful coverage
- [ ] No vague or unactionable comments
References
- [security-hardening skill](../security-hardening/SKILL.md)
- [references/security-checklist.md](../../references/security-checklist.md)
Source & license
This open-source skill is cataloged on AgentStack and links to its original source — we do not rehost the code.
- Author: DevelopersGlobal
- Source: DevelopersGlobal/ai-agent-skills
- License: MIT
- Homepage: https://developersglobal.github.io/ai-agent-skills/
Install and usage instructions live in the source repository linked above.
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Versions
- v0.1.0 Imported from the upstream source.