Skill Reviewing

Provides comprehensive validation of Claude Code skills and agents against:

• Plugin Storage Conventions (NORMATIVE)
• Agent Tool Use Best Practices
• Architecture Guidelines v0.5

Capabilities

This skill orchestrates three specialized review agents, each focusing on a distinct concern:

Agent Delegation

All three agents are invoked via Agent Runner for parallel execution:

Metadata & Storage Reviewer

Validates:

• YAML frontmatter (name, version, description)
• Version consistency with registry.yaml
• Storage paths (logs, settings, outputs)
• Secret handling
• Documentation completeness

Returns: {success, data: {checks_performed, checks_passed, warnings, errors}, error}

Implementation Reviewer

Validates:

• JSON fencing
• Hook implementation (Python preferred)
• Dependency declarations
• Security patterns
• Cross-platform compatibility

Returns: {success, data: {checks_performed, checks_passed, warnings, errors}, error}

Architecture Reviewer

Validates:

• Two-tier skill/agent separation
• Response contract compliance
• Single responsibility principle
• Agent size and complexity
• File organization

Returns: {success, data: {checks_performed, checks_passed, warnings, errors}, error}

Orchestration Pattern

When user requests a review:

1. Determine target

   • Parse user input to identify what to review
   • Resolve to absolute path if needed
   • Determine target_type: "agent", "skill", or "package"

2. Invoke agents in parallel Use Agent Runner to invoke all three reviewers concurrently with parameters:

   For skill-metadata-storage-review:

   jsonCopy

   {
     "target_type": "<agent|skill|package>",
     "target_path": "/absolute/path/to/target",
     "package_name": "<package-name-if-applicable>",
     "check_registry": true,
     "registry_path": ".claude/agents/registry.yaml"
   }
   

   For skill-implementation-review:

   jsonCopy

   {
     "target_path": "/absolute/path/to/target",
     "check_hooks": true,
     "check_dependencies": true,
     "check_security": true,
     "manifest_path": "manifest.yaml"
   }
   

   For skill-architecture-review:

   jsonCopy

   {
     "target_type": "<agent|skill|package>",
     "target_path": "/absolute/path/to/target",
     "check_two_tier": true,
     "check_contracts": true,
     "check_naming": true,
     "registry_path": ".claude/agents/registry.yaml"
   }
   

3. Aggregate results

   • Collect fenced JSON from all three agents
   • Parse and merge findings
   • Group by severity: errors, warnings, info
   • Organize by concern area (metadata, implementation, architecture)

4. Format report Present findings to user in this structure:

   Copy

   ## Review Summary: [package-name]
   
   ✅ Metadata & Storage: X checks passed, Y warnings, Z errors
   ⚠️  Implementation: X checks passed, Y warnings, Z errors
   ✅ Architecture: X checks passed, Y warnings, Z errors
   
   ### Critical Issues (must fix)
   [List all errors with file:line and suggested actions]
   
   ### Warnings (should fix)
   [List all warnings with suggestions]
   
   ### Info (optional improvements)
   [List all info-level findings]
   

Usage Examples

Review entire package:

/skill-reviewing sc-managing-worktrees

Review specific agent:

/skill-reviewing .claude/agents/sc-worktree-create.md

Review skill:

/skill-reviewing .claude/skills/managing-worktrees/

Review during development:

Review the skill I just created in .claude/skills/my-new-skill/

Error Handling

If Any Reviewer Fails

• Report which reviewer failed and why
• Include partial results from successful reviewers
• Suggest corrective action (e.g., "Registry file not found at .claude/agents/registry.yaml")
• Do not fail entire review if one agent has issues

If All Reviewers Return No Issues

• Congratulate user on clean implementation
• Show summary: "All X checks passed across metadata, implementation, and architecture"
• Optionally suggest next steps (testing, documentation improvements)

If Target Not Found

• Return clear error message
• Suggest correct paths for common targets
• Examples:
  • Agents: .claude/agents/<name>.md
  • Skills: .claude/skills/<name>/SKILL.md
  • Packages: packages/<name>/

Notes

• Parallel Execution: All three agents run independently in isolated contexts
• Structured Output: Each agent returns fenced JSON for reliable parsing
• Read-Only: No agent modifies files; this is analysis only
• Comprehensive: Covers three orthogonal concerns for complete validation
• Actionable: Every finding includes suggested_action for quick fixes

Related Documentation

• Design Document — Complete specification
• Architecture Guidelines v0.5 — Source guidelines
• Plugin Storage Conventions — NORMATIVE storage rules
• Tool Use Best Practices — Implementation patterns