Code review
Review code for correctness, security, performance, and maintainability. Use when the user asks to "review this code", "check my changes", "review PR", "audit", or "what do you think of this approach".From its SKILL.md
npx -y skills add arozumenko/wikis --skill code-reviewAssembled from the repository path, not quoted from the project. Check it against their README if it does not work.
One thing to look at
- 6 stars6 stars. Stars are a popularity signal and not a quality one, but at this level it is likely that nobody has read this closely except its author, and you would be relying on your own review.
What its file declares
Copied from the file, not written here
The file declares its own license as Apache-2.0. That is the author’s claim about this one file, and it is not the same thing as the license GitHub reports for the repository, which is listed with the other numbers below.
SKILL.md
2.6 KB, as published. Nobody here has run it
Code Review
Systematic code review focused on what matters. Not a style police — a correctness and risk checker.
Review Scope
Determine what to review:
# Review staged changes
git --no-pager diff --cached
# Review working tree changes
git --no-pager diff
# Review a PR
gh pr diff <number>
# Review specific files
# Just read them directly
Review Checklist
Check in this priority order. Stop at each category — don't rush to the next.
1. Correctness
- Does it do what it claims?
- Are edge cases handled (nulls, empty collections, boundary values)?
- Are error paths correct (not swallowed, not over-caught)?
- Do conditional branches cover all cases?
2. Security
- Input validation at system boundaries (user input, API responses)?
- SQL injection, XSS, command injection risks?
- Secrets in code or logs?
- Permissions and authorization checked?
3. Concurrency & State
- Race conditions in shared state?
- Proper locking/synchronization?
- Async operations awaited correctly?
- Resources properly closed/released?
4. Performance
- O(n^2) or worse in hot paths?
- Unnecessary allocations in loops?
- N+1 query patterns?
- Missing indexes for new queries?
5. Maintainability
- Is the intent clear from reading the code?
- Could someone unfamiliar modify this safely?
- Are there implicit assumptions that should be explicit?
Output Format
Structure your review as:
## Summary
One sentence: what this change does and whether it looks good.
## Issues
### [Critical/Important/Nit] Title
File: path/to/file.py:42
Description of the issue and why it matters.
Suggested fix (if non-obvious).
## Questions
Things that aren't wrong but need clarification from the author.
Severity levels:
- Critical — will break in production, security vulnerability, data loss risk
- Important — correctness issue, significant performance problem, missing error handling
- Nit — style, naming, minor improvement (limit to 2-3 max, don't pile on)
What NOT to Review
- Style preferences already handled by formatters/linters
- Adding type hints to code the author didn't change
- Suggesting refactors unrelated to the change
- Commenting on test structure unless tests are wrong