返回 Skill 列表
extension
分类: 开发与工程无需 API Key

skill-reviewing

对Claude Code技能和代理相对于v0.5的全面回顾

person作者: jakexiaohubgithub

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 | Focus | Source Document | |-------|-------|-----------------| | skill-metadata-storage-review | Frontmatter & persistence | PLUGIN-STORAGE-CONVENTIONS.md | | skill-implementation-review | Code mechanics & security | agent-tool-use-best-practices.md | | skill-architecture-review | Design patterns & structure | claude-code-skills-agents-guidelines-0.4.md |

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:

    {
      "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:

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

    For skill-architecture-review:

    {
      "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:

    ## 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