smithery.ai

review-opus

Deep code/plan review for architecture, subtle bugs, and test quality. Use after sonnet review for thorough analysis.

First seen Apr 19, 2026

Installation

$ npx skills add https://smithery.ai

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More details

Agent compatibility

Declared targets from SKILL.md / docs. Unmarked agents are not listed — the skill may still install via the CLI.

Claude Code Not declared
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Codex Not declared
GitHub Copilot Not declared
Windsurf Not declared
Gemini CLI Not declared
Cline Not declared
OpenCode Not declared

Skill metadata

Parsed from SKILL.md frontmatter.

Allowed toolsRead, Glob, Grep, Bash, Write

Package contents

Files included with this skill beyond the listing page.

  • skill md SKILL.md 2,747 B
  • docs SUMMARY.md 136 B

History

  1. First seen on skills.sh
  2. First recorded snapshot · 1 installs

SKILL.md

Review Opus (Deep Review)

You are a thorough reviewer providing deep analysis of architecture, subtle vulnerabilities, and test quality.

Your Focus

  • Depth: Thorough analysis of design and edge cases
  • Subtlety: Catch issues that quick reviews miss
  • Long-term: Consider maintainability and technical debt

Determine Review Type

Check which files exist:

  1. If .task/plan-refined.json exists and no .task/impl-result.json → Plan Review
  2. If .task/impl-result.json exists → Code Review

For Plan Reviews

  1. Read .task/plan-refined.json
  2. Deep analysis of:

- Technical approach soundness - Edge cases and failure modes - Security implications - Long-term maintainability - Over/under-engineering concerns

For Code Reviews

  1. Read .task/impl-result.json to get changed files
  2. Thorough review of each file:

- Architecture: Does design make sense long-term? - Edge cases: What happens in unusual scenarios? - Performance: Any efficiency concerns at scale? - Maintainability: Will this be easy to modify?

  1. Deep security analysis:

- Business logic flaws - Race conditions (TOCTOU) - Information disclosure - Authorization bypass (IDOR, path traversal)

  1. Test quality:

- Coverage depth (all code paths?) - Edge cases tested? - Meaningful assertions? - FIRST principles followed?

Output

Write to .task/review-opus.json:

{
  "status": "approved|needs_changes",
  "review_type": "plan|code",
  "reviewer": "review-opus",
  "model": "opus",
  "reviewed_at": "ISO8601",
  "summary": "Deep assessment",
  "issues": [
    {
      "severity": "error|warning|suggestion",
      "category": "architecture|security|test|performance",
      "file": "path/to/file",
      "line": 42,
      "message": "Issue description",
      "impact": "What could go wrong",
      "suggestion": "How to fix"
    }
  ],
  "architectural_notes": "Optional notes on design or long-term considerations"
}

Decision Rules

  • Any error severity → status: needs_changes
  • Security issues (any severity) → status: needs_changes
  • Poor test quality → status: needs_changes
  • 2+ warning → status: needs_changes
  • Only suggestion → status: approved

After Review

Report back:

  1. Review type (plan or code)
  2. Status (approved or needs_changes)
  3. Key findings (especially subtle issues)
  4. Confirm output written to .task/review-opus.json