Hooks Evaluation Framework

Overview

This skill provides a comprehensive framework for evaluating, auditing, and implementing Claude Code hooks across all scopes (plugin, project, global) and both JSON-based and programmatic (Python SDK) hooks.

Key Capabilities

• Security Analysis: Vulnerability scanning, dangerous pattern detection, injection prevention
• Performance Analysis: Execution time benchmarking, resource usage, optimization
• Compliance Checking: Structure validation, documentation requirements, best practices
• SDK Integration: Python SDK hook types, callbacks, matchers, and patterns

Core Components

Component	Purpose
Hook Types Reference	Complete SDK hook event types and signatures
Evaluation Criteria	Scoring system and quality gates
Security Patterns	Common vulnerabilities and mitigations
Performance Benchmarks	Thresholds and optimization guidance

Quick Reference

Hook Event Types

HookEvent = Literal[
    "PreToolUse",       # Before tool execution
    "PostToolUse",      # After tool execution
    "UserPromptSubmit", # When user submits prompt
    "Stop",             # When stopping execution
    "SubagentStop",     # When a subagent stops
    "PreCompact"        # Before message compaction
]

Note: Python SDK does not support SessionStart, SessionEnd, or Notification hooks due to setup limitations.

Hook Callback Signature

async def my_hook(
    input_data: dict[str, Any],    # Hook-specific input
    tool_use_id: str | None,       # Tool ID (for tool hooks)
    context: HookContext           # Additional context
) -> dict[str, Any]:               # Return decision/messages
    ...

Return Values

return {
    "decision": "block",           # Optional: block the action
    "systemMessage": "...",        # Optional: add to transcript
    "hookSpecificOutput": {...}    # Optional: hook-specific data
}

Quality Scoring (100 points)

Category	Points	Focus
Security	30	Vulnerabilities, injection, validation
Performance	25	Execution time, memory, I/O
Compliance	20	Structure, documentation, error handling
Reliability	15	Timeouts, idempotency, degradation
Maintainability	10	Code structure, modularity

Detailed Resources

• SDK Hook Types: See modules/sdk-hook-types.md for complete Python SDK type definitions, patterns, and examples
• Evaluation Criteria: See modules/evaluation-criteria.md for detailed scoring rubric and quality gates
• Security Patterns: See modules/security-patterns.md for vulnerability detection and mitigation
• Performance Guide: See modules/performance-guide.md for benchmarking and optimization

Basic Evaluation Workflow

# 1. Run comprehensive evaluation
/hooks-eval --comprehensive

# 2. Focus on security issues
/hooks-eval --security-only --format sarif

# 3. Benchmark performance
/hooks-eval --performance-baseline

# 4. Check compliance
/hooks-eval --compliance-report

Integration with Other Tools

# Complete plugin evaluation pipeline
/hooks-eval --comprehensive          # Evaluate all hooks
/analyze-hook hooks/specific.py      # Deep-dive on one hook
/validate-plugin .                   # Validate overall structure

Related Skills

• hook-scope-guide - Decide where to place hooks (plugin/project/global)
• hookify:writing-rules - Write hook rules and patterns
• validate-plugin - Validate complete plugin structure