review
Code review: systematic single-file, parallel multi-reviewer, full-repo audit, PR diff review.
Install / Use
npx skills add notque/vexjoy-agent --skill reviewInstalls into whichever agent you are using.
SKILL.md
Installable skill definition
Quality Score
Category
SecuritySupported Platforms
Our assessment of review
review scores 87/100 on our quality scale, 698th of 1,122 Security skills we index.
Its SKILL.md is 7.7 KB long, well organised into 19 sections with 4 code examples: a thorough specification that gives an agent plenty to work with.
It has 425 GitHub stars, a meaningful sign that others use it.
Maintenance, license and trust
- The repository was last updated 12 days ago, so review is actively maintained.
- It is released under the MIT license, a permissive license that allows use, modification and commercial use with attribution.
- Its trust signals score 100/100, with no cautions. These come from repository metadata, not a code audit — read the skill file before letting an agent act on it.
review compared with similar skills
All 4 of these similar skills score higher than review; compare them before choosing.
| Skill | Score | Stars | Updated | Format |
|---|---|---|---|---|
| review (this skill)by notque | 87 | 425 | 12d ago | SKILL.md |
| Agent-Reachby Panniantong | 100 | 97.6k | today | CLAUDE.md |
| algorithmic-artby anthropics | 100 | 177.9k | 22d ago | SKILL.md |
| pptxby anthropics | 100 | 177.9k | 22d ago | SKILL.md |
| designby nextlevelbuilder | 100 | 133.6k | 11d ago | SKILL.md |
Frequently asked questions
- How do I install review?
- Run
npx skills add notque/vexjoy-agent --skill review. The install tabs above show the steps for each supported agent. - Which AI agents does review work with?
- It is written for Universal, as a SKILL.md file. Other agents that read the same format can often use it too.
- Is review safe to use?
- It is MIT-licensed and scores 100/100 on trust signals. Skills are instructions an agent will follow, so read the file before installing it and do not approve commands you do not understand.
- Is review still maintained?
- The repository was last updated 12 days ago, so review is actively maintained.
Skill content
View source on GitHubname: review description: "Code review: systematic single-file, parallel multi-reviewer, full-repo audit, PR diff review." user-invocable: true allowed-tools:
- Read
- Write
- Bash
- Grep
- Glob
- Edit
- Task
- Agent
routing:
force_route: true
not_for: "security scanning (use security), linting (use code-quality), git push/commit/PR (use pr-workflow)"
triggers:
- "review code"
- "code review"
- "code review methodology"
- "structured review"
- "code audit"
- "review methodology"
- "comprehensive review"
- "parallel review"
- "3-reviewer review"
- "multi-reviewer"
- "concurrent review"
- "full repo review"
- "review entire repo"
- "codebase health check"
- "review all files"
- "full codebase review"
- "audit the codebase"
- "codebase audit"
- "review whole repo"
- "sweep all source files"
- "repo health"
- "review this PR"
- "review my PR"
- "review my changes"
- "PR review"
- "diff review" category: code-review pairs_with:
- security
- testing
Review
Three modes. Pick one by request shape, default to systematic.
| Request matches | Mode | |---|---| | Review a file, diff, or PR | Systematic (default) | | "parallel review", "multi-reviewer", "3-reviewer" | Parallel | | "full repo review", "codebase audit", "repo health", review ALL files | Full-repo |
Deep References
| Signal | Load | Why |
|---|---|---|
| Reviewing Go code | references/go-review-patterns.md | Exports, concurrency, resources, metrics, tests |
| Dispatching Architecture reviewer in parallel mode | references/architecture-smell-baseline.md | 12 Fowler smells with language counter-examples and severity cap |
| Writing full-repo report | references/report-template.md | Report structure and field definitions |
| Dispatching full-repo wave agents | references/audit-playbook.md | 8-category checklists with evidence requirements |
| Receiving review feedback | references/receiving-feedback.md | Feedback-handling patterns |
Severity Classification
Shared across all modes. When in doubt, classify UP.
| Level | Scope | Examples | |---|---|---| | BLOCKING | Security, correctness, reliability | Auth bypass, race condition, resource leak, logic error, test failure | | SHOULD FIX | Material quality, patterns, tests | Missing tests, unhelpful errors, pattern violations, N+1 in hot paths | | SUGGESTION | Optional, stylistic | Naming preferences, comments, micro-optimizations |
Decision: security/correctness/reliability risk? -> BLOCKING. Violates patterns or creates maintenance burden? -> SHOULD FIX. Purely stylistic? -> SUGGESTION.
Verdict Rules
| Condition | Verdict | |---|---| | Any BLOCKING finding | REQUEST-CHANGES (or BLOCK) | | SHOULD FIX findings, no BLOCKING | FIX before merge | | Only SUGGESTION or clean | APPROVE |
Omit empty severity sections. Include review scope, evidence, and limitations. Validate output:
python3 scripts/validate-review-output.py --type systematic /tmp/review-output.md
Exit 0 = valid; 1 = schema errors; 2 = unparseable; 3 = missing jsonschema.
Mode 1: Systematic Review (default)
Single-reviewer, 4-phase review of a named file, diff, or PR.
Phase 1: UNDERSTAND
Read repository instructions and the complete diff. Read surrounding code to understand each changed path and its consumers. When signatures change, find all callers and interface implementations. Trace parameters to their source: query params may hold any user string; tokens may be server-issued IDs; enums have bounded values. Check validation at each caller.
Gate: Every changed path accounted for, callers traced where needed.
Phase 2: VERIFY
Run relevant tests and required repository checks. Reuse prior results only when they cover current code and environment. Check material claims in comments and PR description against code and tests. Missing tools, skipped checks, and inferred outcomes are not passes.
Gate: Claims have supporting evidence; required checks passed or the gap is recorded.
Phase 3: ASSESS
Assess risks: security (auth, validation, injection, secrets), performance (N+1, unbounded work, allocations on hot paths), architecture (conventions, compatibility, scope, unnecessary abstractions). For extracted helpers, recheck contract and callers.
Gate: Relevant risks and remaining uncertainty are explicit.
Phase 3.5: VERIFY FINDINGS
Before reporting, check each finding's input sequence, existing guards, and proposed fix. Drop unreachable or already-handled claims. Deduplicate when combining reviews; resolve severity from evidence.
Phase 4: DOCUMENT
Review Summary:
Files Reviewed: N | Lines Changed: +X/-Y
Test Status: PASS | FAIL | SKIPPED
Risk Level: LOW | MEDIUM | HIGH | CRITICAL
BLOCKING:
1. Issue and consequence — path/file.ext:42
SHOULD FIX:
1. Issue and consequence — path/file.ext:52
SUGGESTIONS:
1. Optional improvement — path/file.ext:62
Verdict: APPROVE | REQUEST-CHANGES | NEEDS-DISCUSSION
Rationale: Evidence, scope, and limitations.
Mode 2: Parallel Review
Three concurrent reviewers, then aggregate.
Step 1: Scope
Identify the diff or files. Record the reviewed revision.
git diff --name-only HEAD
gh pr view --json files -q '.files[].path'
Select Architecture reviewer by language: Go -> golang-general-engineer; Python -> python-general-engineer; TypeScript -> typescript-frontend-engineer; mixed -> Explore.
Step 2: Dispatch
Dispatch three reviewers together. Read-only; no code edits.
| Reviewer | Focus | |---|---| | Security | Auth, authorization, input validation, secrets, OWASP | | Business Logic | Requirements, edge cases, state transitions, failure modes | | Architecture | Design, structure, performance, maintainability, scope |
Pass references/architecture-smell-baseline.md verbatim to the Architecture reviewer. Require [Reviewer] file:line format with severity and consequence.
Step 3: Aggregate and Verdict
Deduplicate findings, resolve severity disagreements from evidence. Apply shared verdict rules. Output a single combined report with severity matrix, combined findings, and recommendation.
Gate: Every reviewer returned, or missing coverage is explicitly stated without claiming approval.
Mode 3: Full-Repo Review
All source files through a 4-wave comprehensive review. Produces a prioritized backlog, not auto-fixes. Use for quarterly health checks, post-refactor audits, or new codebase onboarding.
Options: --directory [dir] (scope to one dir), --skip-precheck, --min-severity [level].
Step 1: Discover and Pre-check
Scan all source files (scripts/, hooks/, skills/, agents/, docs/). Never fall back to git diff.
python3 ~/.claude/scripts/score-component.py --all-agents --all-skills --json
Save scores as triage context. A score alone never determines severity.
Step 2: Run Comprehensive Review
Call comprehensive-review with --review-only and the full file list. Run all 4 waves (0-3). Load references/audit-playbook.md as prompt context for wave agents.
Step 3: Report
Merge deterministic scores with LLM findings. Identify systemic patterns (3+ files). Write full-repo-review-report.md using references/report-template.md.
Gate: Report exists with severity sections and deterministic scores.
Error Handling
| Error | Solution | |---|---| | Reviewer times out or returns nothing | Report partial findings, note gap, retry on reduced scope | | Validator script missing | Run review without validation, note gap in verdict | | score-component.py fails | Proceed with LLM review only, note gap in report | | Too many files for single session | Split by directory: scripts/, hooks/, agents/, skills/ |
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Trust signals
From repository metadata: license, adoption, age and documentation. Not a code audit — see the Safety scan above for what the skill file itself contains.
