When NOT To Use
- Writing a new hook (use
abstract:hook-authoring) - Evaluating skills (use
abstract:skills-eval) - Evaluating rules in
.claude/rules/(useabstract:rules-eval)
Hooks Evaluation Framework
Overview
This skill provides a detailed 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
pythonHookEvent = Literal[ "PreToolUse", # Before tool execution "PostToolUse", # After tool execution "UserPromptSubmit", # When user submits prompt "Stop", # When stopping execution "SubagentStop", # When a subagent stops "TeammateIdle", # When teammate agent becomes idle (2.1.33+) "TaskCompleted", # When a task finishes execution (2.1.33+) "PreCompact", # Before message compaction ]
Verification: Run the command with --help flag to verify availability.
Note: Python SDK does not support SessionStart, SessionEnd, or Notification hooks due to setup limitations. However, plugins can define SessionStart hooks via hooks.json using shell commands (e.g., leyline's detect-git-platform.sh).
Plugin-Level hooks.json
Plugins can declare hooks via "hooks": "./hooks/hooks.json" in plugin.json. The evaluator validates:
- Referenced hooks.json exists and is valid JSON
- Shell commands referenced in hooks exist and are executable
- Hook matchers use valid event types
Hook Callback Signature
pythonasync 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 ...
Verification: Run the command with --help flag to verify availability.
Return Values
pythonreturn { "hookSpecificOutput": { "hookEventName": "PreToolUse", # Match hook type "permissionDecision": "deny", # Optional: block action "permissionDecisionReason": "...", # Reason for denial "additionalContext": "...", # Optional: context added } }
Verification: Run the command with --help flag to verify availability.
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.mdfor complete Python SDK type definitions, patterns, and examples - Evaluation Criteria: See
modules/evaluation-criteria.mdfor detailed scoring rubric and quality gates - Security Patterns: See
modules/sdk-hook-types.mdfor vulnerability detection and mitigation - Performance Guide: See
modules/evaluation-criteria.mdfor benchmarking and optimization
Basic Evaluation Workflow
bash# 1. Run detailed evaluation /hooks-eval --detailed # 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
Verification: Run the command with --help flag to verify availability.
Integration with Other Tools
bash# Complete plugin evaluation pipeline /hooks-eval --detailed # Evaluate all hooks /analyze-hook hooks/specific.py # Deep-dive on one hook /validate-plugin . # Validate overall structure
Verification: Run the command with --help flag to verify availability.
Related Skills
abstract:hook-scope-guide- Decide where to place hooks (plugin/project/global)abstract:hook-authoring- Write hook rules and patternsabstract:validate-plugin- Validate complete plugin structure
Troubleshooting
Common Issues
Hook not firing Verify hook pattern matches the event. Check hook logs for errors
Syntax errors Validate JSON/Python syntax before deployment
Permission denied Check hook file permissions and ownership
Exit Criteria
- Every hook in scope receives a composite quality score (0-100) across the five weighted categories: Security (30), Performance (25), Compliance (20), Reliability (15), Maintainability (10).
- Any hook scoring below 60 on the Security category is flagged as a blocking issue before the evaluation report is returned.
- Shell commands referenced in
hooks.jsonare verified to exist and be executable; missing scripts are listed as FAIL findings. - The evaluation report distinguishes between JSON hooks (Claude Code) and Python SDK hooks and applies the correct signature expectations for each type.


