ai-pr-review（AI 公关评论）

ai-pr-review

Description: AI-powered pull request review with inline comments, severity classification, acceptance criteria verification, and optional fix-and-verify loop

Category: Code Quality Assurance / Governance

Complexity: High (multi-step review workflow + GitHub API integration)

Purpose

Perform comprehensive AI-powered PR reviews following the governance workflow defined in governance/AI_PR_Review/. The skill:

1. Fetches PR diff and metadata
2. Verifies linked issue acceptance criteria (when applicable)
3. Analyzes code for bugs, security issues, performance problems
4. Posts formal GitHub reviews with inline comments
5. Applies appropriate PR labels
6. Optionally enters fix-and-verify loop for REQUEST_CHANGES

Capabilities

1. PR Analysis

• Diff parsing: Analyze unified diff for code changes
• Context reading: Read full source files for deeper understanding
• Metadata extraction: PR title, body, linked issues, labels, reviewers

2. Code Review Focus Areas

• Bugs: Logic errors, off-by-one, null/None handling
• Security: Injection, credential leaks, auth bypass, OWASP Top 10
• Performance: N+1 queries, unbounded loops, memory leaks
• Error handling: Bare except, swallowed exceptions, missing retries
• Type safety: API contract violations, missing type hints

3. Severity Classification

4. Linked Issue Verification

• Parse PR body for Closes #N, Fixes #N, Resolves #N
• Fetch issue acceptance criteria
• Verify each criterion against PR changes
• Include verification table in review output

5. Review Output

• Formal GitHub Review: Inline comments in "Files changed" tab
• Summary Comment: Visibility in PR conversation
• Conclusion Comment: Merge decision with JSON metadata
• PR Labels: ai:review-passed or ai:review-failed
• Issue Cross-post: Review record on linked issue (audit trail)

6. Fix-and-Verify Loop (On-Demand)

• Checkout PR branch
• Apply fixes to identified findings
• Commit with Co-Authored-By attribution
• Push and wait for CI
• Re-review (max 3 iterations)

Review Workflow

graph TD
    A[Start Review] --> B[Fetch PR Diff + Metadata]
    B --> C{Linked Issue?}
    C -->|Yes| D[Verify Acceptance Criteria]
    C -->|No| E[Note Missing Issue Link]
    D --> F[Analyze Code Changes]
    E --> F

    F --> G{Findings?}
    G -->|Critical/Medium| H[REQUEST_CHANGES]
    G -->|Low Only| I[COMMENT]
    G -->|None| J[APPROVE]

    H --> K{Fix Mode Enabled?}
    K -->|Yes| L[Fix-and-Verify Loop]
    K -->|No| M[Post Review + Conclusion]

    L --> N[Apply Fixes]
    N --> O[Commit & Push]
    O --> P[Wait for CI]
    P --> Q[Re-Review]
    Q --> R{All Fixed?}
    R -->|Yes| J
    R -->|No, Iteration < 3| L
    R -->|No, Iteration = 3| S[Escalate to Human]

    I --> M
    J --> M
    S --> M

    M --> T[Apply PR Label]
    T --> U[Cross-post to Issue]
    U --> V[Review Complete]

Usage Instructions

Basic PR Review

Review PR #<NUMBER> following the AI PR Review workflow.

The agent will:

1. Fetch PR diff and metadata using gh CLI
2. Analyze code changes
3. Post formal review with inline comments
4. Post conclusion comment
5. Apply ai:review-passed or ai:review-failed label

Review with Issue Verification

Review PR #<NUMBER> and verify it against linked issue #<ISSUE>.

Adds acceptance criteria verification to the review output.

Review with Fix-and-Verify

Review PR #<NUMBER> with fix-and-verify enabled.

If REQUEST_CHANGES is posted, the agent will attempt to fix findings and re-review (up to 3 iterations).

Manual Trigger Example

# Using gh CLI directly
gh workflow run ai-pr-review.yml \
  --field pr_number=42 \
  --field model=sonnet

Severity Tag Format

Inline comments use severity tags in the body:

**[Critical]** SQL injection vulnerability in user query.

Suggested fix:

Use parameterized queries instead of string concatenation

cursor.execute("SELECT * FROM users WHERE id = %s", (user_id,))

**[Medium]** Bare `except` swallows all exceptions including KeyboardInterrupt.

Replace with specific exception handling

except Exception as e: logger.error(f"Operation failed: {e}") raise

**[Low]** Consider using `pathlib.Path` instead of `os.path` for path operations.

Review Event Decision Tree

Has Critical findings?
 YES → REQUEST_CHANGES
 NO
    Has Medium findings?
     YES
       Affects correctness or security?
        YES → REQUEST_CHANGES
        NO (performance/style only) → COMMENT
     NO
        Has Low findings?
         YES → COMMENT
         NO → APPROVE

Conclusion Comment Format

## Review Conclusion

**Decision**: Approved to merge

| Metric | Value |
|:-------|:------|
| Findings | 0 Critical, 0 Medium, 2 Low |
| Review event | APPROVE |
| Model | claude-sonnet-4-5 |

No blocking issues found. Code changes look correct.

---
_AI Code Review (Claude) | 2026-02-17_

<!-- AI_REVIEW_METADATA {"decision":"approved","model":"claude-sonnet-4-5","pr":42,"repo":"owner/repo","findings":{"critical":0,"medium":0,"low":2},"review_event":"APPROVE","timestamp":"2026-02-17T15:30:00-05:00"} AI_REVIEW_METADATA -->

PR Labels

Labels are replaced on each review (not accumulated).

Skip Patterns

The following are excluded from code analysis:

File types:

• *.md, *.txt, *.json, *.toml, *.yaml, *.yml, *.lock
• *.svg, *.png, *.jpg, *.jpeg, *.gif, *.ico
• *.woff*, *.eot, *.ttf

Directories:

• docs/, .github/, governance/
• LICENSE, .gitignore, .gitmodules

Exception: Include filtered files when performing documentation-specific review.

Tool Access

Required tools:

• Read: Read source code files and PR diff
• Bash: Execute gh CLI commands for GitHub API operations
• Grep: Search for patterns in code
• Glob: Find relevant source files

Required environment:

• gh CLI authenticated to GitHub
• ANTHROPIC_API_KEY for Claude API access
• Repository write access for posting reviews

Integration Points

With code-review Skill

• Uses same severity classification
• Shares analysis patterns for bugs, security, performance
• Complements local code review with PR-level review

With test-automation Skill

• Verifies CI checks pass before APPROVE
• Identifies uncovered code paths in PR

With security-audit Skill

• Shares security vulnerability findings
• Coordinates on CRITICAL security issues

With trace-check Skill

• Verifies traceability from PR to requirements
• Checks acceptance criteria alignment

Governance Integration

Issue Label Lifecycle

PR Label Lifecycle

Security Constraints

Limits

Configuration

Repository Secrets

Workflow Inputs

Error Handling

Related Documents

Success Criteria

• Zero CRITICAL findings pass undetected
• Review posted within 5 minutes
• Inline comments reference correct line numbers
• Conclusion comment includes valid JSON metadata
• PR labels applied correctly
• Issue cross-post created (when linked issue exists)

Notes

• Automated reviews trigger on pull_request events
• Manual reviews invoked via /ai-pr-review command or workflow dispatch
• Reviews are advisory; human approval still required
• Fix-verify loop requires explicit enablement