by disler · Claude Skill · ★ 3.9k
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
Claude Code Hooks Mastery Claude Code Hooks - Quickly master how to use Claude Code hooks to add deterministic (or non-deterministic) control over Claude Code's behavior. Plus learn about Claude Code Sub-Agents, the powerful Meta-Agent, and Team-Based Validation with agent orchestration. Table of Contents Prerequisites Hook Lifecycle & Payloads What This Shows UV Single-File Scripts Architecture Key Files Features Demonstrated Hook Error Codes & Flow Control UserPromptSubmit Hook Deep Dive Claude Code Sub-Agents Team-Based Validation System Output Styles Collection Custom Status Lines Prerequisites This requires: Astral UV - Fast Python package installer and resolver Claude Code - Anthropic's CLI for Claude AI Optional Setup: Optional: [ElevenLabs](https://ele
| Stars | 3,930 |
| Forks | 633 |
| Language | Python |
| Category | Claude Skill |
| Quality Score | 53.0019954455849/100 |
| Open Issues | 36 |
| Last Updated | 2026-03-04 |
| Created | 2025-07-05 |
| Platforms | claude-code, python |
| Est. Tokens | ~23k |
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claude-code-hooks-mastery is Master Claude Code Hooks. It is categorized as a Claude Skill with 3.9k GitHub stars.
claude-code-hooks-mastery is primarily written in Python.
You can find installation instructions and usage details in the claude-code-hooks-mastery GitHub repository at github.com/disler/claude-code-hooks-mastery. The project has 3.9k stars and 633 forks, indicating an active community.
The top alternatives to claude-code-hooks-mastery on Agent Skills Hub include claude-scientific-skills, awesome-claude-skills, AI-Research-SKILLs. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.
Grades come from a rule-based scan built on the SlowMist agent-security taxonomy, covering 11 red-flag categories including credential harvesting, data exfiltration, and curl | sh installers. It is a first-layer scan, not a manual audit — we say so rather than overstate it.
The scale of the problem is documented independently: Liu et al. (2026), in a study of 31,132 agent skills, report that 26.1% contain security vulnerabilities. Our own full-catalog census is published as a citable open dataset.
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