Flagged: sudo usage, spawns subprocesses. Scanned against the SlowMist agent-security taxonomy, refreshed every 8 hours. Full audit →
by GowayLee · Agent Tool · ★ 131
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is cchooks safe to install? View the security audit →
cchooks Claude Code Hook SDK for Python A lightweight Python Toolkit that makes building Claude Code hooks as simple as writing a few lines of code. Stop worrying about JSON parsing and focus on what your hook should actually do. New to Claude Code hooks? Check the official docs for the big picture. Need the full API? See the API Reference for complete documentation. Features One-liner setup: handles all the boilerplate Zero config: Automatic JSON parsing and validation from stdin Smart detection: Automatically figures out which hook you're building 9 hook types: Support for all Claude Code hook events inclu
| Stars | 131 |
| Forks | 11 |
| Language | Python |
| Category | Agent Tool |
| License | MIT |
| Quality Score | 70.9352916466306/100 |
| Last Updated | 2026-04-08 |
| Created | 2025-07-16 |
| Platforms | claude-code, python |
| Est. Tokens | ~22k |
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cchooks is A Python SDK for claude-code hooks. It is categorized as a Agent Tool with 131 GitHub stars.
cchooks is primarily written in Python. It covers topics such as agentic-ai, claude-code, hooks.
You can find installation instructions and usage details in the cchooks GitHub repository at github.com/GowayLee/cchooks. The project has 131 stars and 11 forks, indicating an active community.
cchooks is released under the MIT license, making it free to use and modify according to the license terms.
The top alternatives to cchooks on Agent Skills Hub include claude-code-hooks, mcp-server-code-execution-mode, plankton. 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.
Sources & who's responsible: