Skill pr review
A comprehensive Claude Code plugin that automates the complete Software Development Lifecycle with 20 role-specific agents, 12 knowledge skills, and 8 commands, all guided by principles.
npx -y skills add saitarrun/sdlc-ai-workflow --skill skill-pr-reviewAssembled from the repository path, not quoted from the project. Check it against their README if it does not work.
2 things to look at
- no licenseNo license file was found in the repository. Code published without one is not open source by default, so using it at work is a question for whoever answers licensing questions where you are.
- 2 stars2 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 author says it does
Copied from the file, not written here
Comprehensive code review for pull requests using parallel multi-agent analysis. Audits CLAUDE.md compliance, checks for bugs, analyzes git history, reviews comments, and filters by confidence score. Use when reviewing a GitHub PR, mentions "code review", "review this PR", or "/code-review".
SKILL.md
7.8 KB, ~2.0k tokens by cl100k_base, as published. Nobody here has run it
Skill: Pull Request Code Review
Multi-angle code review using 5 parallel agents + confidence scoring. Audits CLAUDE.md compliance, detects bugs, checks git history, reviews prior feedback, validates comment guidance. Filters issues by confidence (≥80) to reduce false positives.
Process Overview
1. Eligibility check (Haiku)
├─ Skip if: closed, draft, automated, trivial, already reviewed
│
2. Collect CLAUDE.md files (Haiku)
├─ Root CLAUDE.md + phase-specific CLAUDE.md files
│
3. Get PR summary (Haiku)
├─ Understand the change at high level
│
4. Parallel 5-agent review (5x Sonnet)
├─ Agent #1: CLAUDE.md compliance audit
├─ Agent #2: Shallow bug scan (large bugs only)
├─ Agent #3: Git blame & history context
├─ Agent #4: Prior PR comments (similar files)
└─ Agent #5: Code comments in modified files
│
5. Confidence scoring (Parallel Haiku agents)
├─ Score each issue 0-100
├─ Filter: keep only score ≥ 80
│
6. Final eligibility check (Haiku)
├─ Verify PR still eligible (not closed/merged while reviewing)
│
7. Post comment via gh (Bash)
└─ Format: brief description, file link with full SHA, line range
Step 1: Eligibility Check
Skip review if:
- Closed: PR is already closed
- Draft: PR marked as draft
- Automated: Author is bot/automation (e.g., dependabot)
- Trivial: Obvious fix (typo, docs, one-liner) with no risk
- Pre-reviewed: You already reviewed this PR earlier
Use:
gh pr view <number> --json state,isDraft,author,commits
Step 2: Collect CLAUDE.md Files
Gather all relevant CLAUDE.md files:
- Root
./CLAUDE.md(if exists) - Any
./some-phase/CLAUDE.md(if modified files are in that phase) - Any
./services/*/CLAUDE.md(if monorepo, for modified service)
Use:
gh pr diff <number> --name-only | xargs -I {} dirname {} | sort -u | xargs -I {} find {} -name CLAUDE.md
Step 3: Get PR Summary
Fetch PR metadata and commit summary:
gh pr view <number> --json title,body,commits
Ask agent: "Summarize this PR in 2-3 sentences. What changed and why?"
Step 4: Parallel 5-Agent Review
Launch 5 agents in parallel (one per strategy). Each agent returns a list of issues found.
Agent #1: CLAUDE.md Compliance
- Read CLAUDE.md file(s) from step 2
- Check if changes violate explicit rules in CLAUDE.md
- Flag only issues explicitly mentioned in CLAUDE.md (not general best practices)
- Ignore issues if code has lint-ignore comments
Example issues:
- CLAUDE.md says "always use pnpm", but PR introduces npm
- CLAUDE.md forbids modifying .env, but PR modifies .env
- CLAUDE.md says "do not access DB outside src/db/", but PR queries DB in src/api/
Agent #2: Shallow Bug Scan
- Read PR diff (
gh pr diff) - Scan for large, obvious bugs only
- Ignore: nitpicks, style, lint issues, type errors, missing tests
- Focus on logic errors, bounds checks, null pointer risks, hardcoded values
Example issues:
- Off-by-one loop error
- Missing null check before .length access
- Hardcoded password or API key
- SQL injection due to string concatenation
Agent #3: Git History & Blame
- Use
git logon modified files to understand context - Look for: related commits, previous bug fixes in same code, warnings in commit messages
- Flag if new code conflicts with historical patterns
Example issues:
- Previous commit explicitly fixed this pattern, but PR reintroduces it
- Code was refactored 3 months ago to avoid this approach, PR undoes it
Agent #4: Prior PR Comments
- Search prior PRs that touched modified files (
gh search prs --repo=... --involved=<author>) - Look for: reviewer comments, feedback on similar code, known issues
- Flag if same issue is being re-introduced
Example issues:
- PR #42 had same change, reviewer flagged issue X, now issue X reappears here
Agent #5: Code Comments
- Read code comments in modified files
- Flag if changes violate guidance in comments (e.g., "DO NOT modify this", "precondition: X must be true")
Example issues:
- Comment says "This value must be immutable", but PR mutates it
- Comment says "DO NOT call this without Y", but PR calls without Y
Step 5: Confidence Scoring
For each issue found, launch a Haiku agent to score 0-100:
Rubric (give to agent verbatim):
- 0: Not confident. False positive, doesn't stand up to scrutiny, or pre-existing issue.
- 25: Somewhat confident. Might be real, but unverified. If stylistic, not in CLAUDE.md.
- 50: Moderately confident. Real issue, but nitpick or rare. Not very important.
- 75: Highly confident. Verified real issue, will happen in practice. Important, directly impacts functionality or in CLAUDE.md.
- 100: Absolutely certain. Double-checked, confirmed real. Happens frequently, direct evidence.
Filter: Keep only issues with score ≥ 80.
Step 6: Final Eligibility Re-check
Before posting, verify PR still eligible:
gh pr view <number> --json state,isDraft
If closed/merged/draft, abort.
Step 7: Post Comment
Use gh pr comment:
gh pr comment <number> --body "
### Code review
Found X issues:
1. <brief description> (CLAUDE.md says \"<...>\")
https://github.com/owner/repo/blob/<full-sha>/path/to/file.md#L10-L15
2. <brief description> (bug in <file>)
https://github.com/owner/repo/blob/<full-sha>/path/to/file.md#L20-L25
🤖 Generated with [Claude Code](https://claude.ai/code)
<sub>- If this code review was useful, please react with 👍. Otherwise, react with 👎.</sub>
"
Or, if no issues:
gh pr comment <number> --body "
### Code review
No issues found. Checked for bugs and CLAUDE.md compliance.
🤖 Generated with [Claude Code](https://claude.ai/code)
"
Requirements for Links
When linking to code:
- Use full git SHA (40 chars), not branch name
- Format:
https://github.com/owner/repo/blob/<sha>/file/path#L<start>-L<end> - Include at least 1 line context before and after the issue
- Line format:
L4-L7(notL4..7or other variants)
Example:
https://github.com/anthropics/claude-code/blob/1d54823877c4de72b2316a64032a54afc404e619/README.md#L13-L17
False Positives to Avoid
- Pre-existing issues (not introduced by this PR)
- Things that look like bugs but aren't
- Pedantic nitpicks (senior engineer wouldn't call out)
- Issues linter/typechecker catch (don't run CI yourself)
- General code quality (unless required by CLAUDE.md)
- Lint-ignored issues in code
- Intentional functionality changes
- Issues on lines the user didn't modify
False Positive Examples
❌ "Missing test coverage" (unless CLAUDE.md requires it)
❌ "Function name is unclear" (style, not bug)
❌ "import statement on wrong line" (linter will fix)
❌ "Off-by-one in code from 2 years ago" (pre-existing)
❌ "This function doesn't handle null" (handled 2 lines later)
✅ "PR reintroduces bug fixed in commit abc123"
✅ "CLAUDE.md forbids this approach, PR violates it"
✅ "Off-by-one in code just added by this PR"
Integration with SDLC
Phase 4 (Testing & Security): Code review as part of quality gates
Phase 5 (Deploy): Pre-merge validation before CI/CD
Utilities: Anytime parallel review needed
Status: Ready for production PR reviews
Best for: High-confidence, multi-angle code review; parallel agent coordination