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code-review

Systematic code review: security checks, performance analysis, complexity assessment, best practice validation, and review checklists.

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ThinkfleetAI/thinkfleet-engine
Letzte Quellaktivität
1. Februar 2026 um 16:21
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Englisch
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SKILL.md
Quellanweisungen · Schreibgeschützte Vorschau
name
code-review
description
Systematic code review: security checks, performance analysis, complexity assessment, best practice validation, and review checklists.
metadata
{"thinkfleetbot":{"emoji":"🔍","requires":{"anyBins":"[Truncated]"}}}
# Code Review Systematic code review covering security, performance, maintainability, and correctness. ## Review a PR ```bash # View PR diff gh pr diff <PR_NUMBER> # View specific file changes gh pr diff <PR_NUMBER> -- src/specific-file.ts # View PR details and checks gh pr view <PR_NUMBER> --json title,body,additions,deletions,changedFiles,reviews | jq . # List changed files gh pr diff <PR_NUMBER> --name-only ``` ## Review Checklist When reviewing code, check each category: ### Correctness - Does the code do what the PR description says? - Are edge cases handled (null, empty, overflow, concurrency)? - Are error paths handled, not just happy paths? - Do new functions have clear input/output contracts? ### Security - User input validated and sanitized before use? - No SQL concatenation (use parameterized queries)? - No secrets/credentials hardcoded? - Auth checks on new endpoints? - File paths validated (no path traversal)? - HTML output escaped (no XSS)? ### Performance - No N+1 queries or unbounded loops? - Large data sets paginated? - Database queries use indexes? - No unnecessary re-renders (React) or recomputation? - Caching considered where appropriate? ### Maintainability - Functions do one thing? - Names are descriptive (no `data`, `temp`, `result` without context)? - No dead code or commented-out blocks? - Complex logic has comments explaining *why* (not *what*)? - Consistent with existing codebase patterns? ### Testing - New code has tests? - Tests cover edge cases, not just happy path? - Tests are deterministic (no flaky timing, random data)? - Mocks are reasonable (not mocking everything)? ## Complexity Analysis ```bash # JavaScript/TypeScript — count function lengths grep -rn "function\|=>" src/ | wc -l # Find long functions (crude but useful) awk '/function.*\{/{name=$0; count=0} /\{/{count++} /\}/{count--; if(count==0 && NR-start>50) print start": "name}' src/**/*.ts # Python — check cyclomatic complexity # Install: pip install radon radon cc src/ -a -nb # Show maintainability index radon mi src/ -nb ``` ## Leaving Review Comments ```bash # Approve gh pr review <PR_NUMBER> --approve --body "Looks good. Clean implementation." # Request changes gh pr review <PR_NUMBER> --request-changes --body "See inline comments — security concern in auth middleware." # Comment without approve/reject gh pr review <PR_NUMBER> --comment --body "A few suggestions, nothing blocking." # Add inline comment on specific line gh api repos/{owner}/{repo}/pulls/<PR_NUMBER>/comments \ -f body="This should use parameterized queries to prevent SQL injection." \ -f path="src/db.ts" \ -F line=42 \ -f commit_id="$(gh pr view <PR_NUMBER> --json headRefOid -q .headRefOid)" ``` ## Notes - Review the *intent* first (PR description), then the *implementation* (diff). - Prioritize: security issues > correctness bugs > performance > style. - Be specific in feedback — "this is wrong" is unhelpful; "this allows SQL injection because..." is actionable. - Check the test coverage — untested code is unreviewed code. - Look at what's *not* in the diff — was something important missed?
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