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code-review-checklist

Review code against a standard checklist covering security, correctness, performance, and readability. Use when asked to review code, check a PR, or audit changes.

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  • SKILL.md2.7 KB

SKILL.md(原文)

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Instructions

Work through each category in the checklist below. For each item, either confirm it passes or flag the specific file and line number where the issue appears.

1. Security

  • Hardcoded secrets: check for API keys, passwords, tokens, or credentials embedded in the code
  • Input validation: confirm that inputs from external sources (user input, API responses, file contents) are validated before use
  • SQL injection: check that any database queries use parameterized statements or an ORM, never raw string concatenation with user input
  • Authentication and authorization: if the code touches access control, verify that checks happen server-side and cannot be bypassed by the caller

2. Correctness

  • Edge cases: null values, empty collections, zero, negative numbers, empty strings — does the code handle these?
  • Error paths: are errors caught at the right level? Are they handled or propagated with enough context to debug?
  • Off-by-one: check loop bounds and index arithmetic
  • Concurrency: if the code runs in a concurrent environment, check for shared mutable state without proper synchronization

3. Performance

  • N+1 queries: check for database queries inside loops
  • Unnecessary work: repeated computation of the same value, re-fetching data that was already fetched
  • Memory: large allocations inside tight loops, unbounded collections that grow with input size

4. Readability

  • Naming: variables, functions, and classes should communicate intent without needing a comment
  • Comments: comments should explain why, not what. Flag comments that describe what the code does (the code shows that already) and missing comments where the intent is non-obvious
  • Function length: flag functions that do more than one thing or that span more than roughly 40 lines without a clear reason
  • Magic numbers: unexplained numeric or string literals that should be named constants

5. Tests

  • Happy path coverage: does the test suite exercise the main success case?
  • Edge case coverage: are the edge cases identified in the Correctness section tested?
  • Test clarity: do test names describe the behavior being tested, not the implementation?
  • Mocks and stubs: are external dependencies properly isolated in unit tests?

Output format

Group findings by category. Under each category heading, list specific issues with file name and line number where applicable. If a category has no findings, write "No issues found." at the end of each category.

If the code passes all checks, say so clearly after listing the categories.

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