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Hooks Eval

Community
athola
hooks-eval

Evaluate hook security, performance, and SDK compliance. Use for audits.

Overview

Publisherathola
Repositoryclaude-night-market
Skill namehooks-eval
Stars
343
Forks
37
Bundled files
2
LicenseMIT
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • 2 bundled files

    Scripts, templates, and references the model can read while it works. Files are read-only and never executed.

  • Open source

    Published by athola on GitHub. Read the source before you install it.

Installation

Install the Hooks Eval AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
    https://github.com/athola/claude-night-market/tree/master/plugins/abstract/skills/hooks-eval
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/athola/claude-night-market.git /tmp/claude-night-market
mkdir -p .claude/skills
cp -r /tmp/claude-night-market/plugins/abstract/skills/hooks-eval .claude/skills/hooks-eval
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Hooks Eval in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Hooks Eval on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Hooks Eval is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

When NOT To Use

  • Writing a new hook (use abstract:hook-authoring)
  • Evaluating skills (use abstract:skills-eval)
  • Evaluating rules in .claude/rules/ (use abstract: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

ComponentPurpose
Hook Types ReferenceComplete SDK hook event types and signatures
Evaluation CriteriaScoring system and quality gates
Security PatternsCommon vulnerabilities and mitigations
Performance BenchmarksThresholds and optimization guidance

Quick Reference

Hook Event Types

python
HookEvent = 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

python
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
    ...

Verification: Run the command with --help flag to verify availability.

Return Values

python
return {
    "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)

CategoryPointsFocus
Security30Vulnerabilities, injection, validation
Performance25Execution time, memory, I/O
Compliance20Structure, documentation, error handling
Reliability15Timeouts, idempotency, degradation
Maintainability10Code 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/sdk-hook-types.md for vulnerability detection and mitigation
  • Performance Guide: See modules/evaluation-criteria.md for 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 patterns
  • abstract: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.json are 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.

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

Frequently asked questions

What does the Hooks Eval AI skill do?

Evaluate hook security, performance, and SDK compliance. Use for audits.

Why use Hooks Eval on TypingMind?

Because you install it once and use it with any model. Hooks Eval is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Hooks Eval in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/athola/claude-night-market/tree/master/plugins/abstract/skills/hooks-eval. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Which AI models can use Hooks Eval?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Hooks Eval?

As many as you like. As long as a model supports skills, you can use Hooks Eval with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Hooks Eval AI skill free?

Yes. It is published on GitHub by athola under the MIT license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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