No red flags found in any of the 11 categories — no credential harvesting, no data exfiltration, no curl-pipe-shell installer. Scanned against the SlowMist agent-security taxonomy, refreshed every 8 hours. Full audit →
by ChanMeng666 · Claude Skill · ★ 87
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is echook safe to install? View the security audit →
echook AI-operated audio notification system for Claude Code, Cursor IDE, and Codex CLI. You type one slash command at install time. Then natural language forever. 26 hook events, 2 audio themes, rate-limit alerts, webhooks, TTS, context monitor — all operated by your AI agent on your behalf. 5.2.x — echook rebrand + Codex support. Renamed from → echook (Echo + Hook, /ˈɛkˌhʊk/) in 5.2.1: now that install paths ship for Claude Code, Cursor IDE, and Codex, leading with "Claude Code" in the name was misleading. Door-only rename, zero migration: the CLI, the marketplace name, and all state directories are unchanged — existing installs keep working via GitHub URL redirect. Codex support now includes the Codex plugin path plus the native path, both registering the 10 Codex hook events: , , , , , , , , , and . See CHANGELOG. All 5.1.x fixes still active. [.
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echook is 【Every star you give feeds a hungry developer's motivation!⭐️】 🔊 echook — AI-operated audio notifications for Claude Code, Cursor IDE & Codex CLI — 26 hooks, voice + chime themes, TTS, webhooks, rate. It is categorized as a Claude Skill with 87 GitHub stars.
echook is primarily written in Python. It covers topics such as ai-operated, audio-notifications, automation.
You can find installation instructions and usage details in the echook GitHub repository at github.com/ChanMeng666/echook. The project has 87 stars and 6 forks, indicating an active community.
echook is released under the MIT license, making it free to use and modify according to the license terms.
The top alternatives to echook on Agent Skills Hub include claude-code-wsl2-setup, code-notify, token-goat. 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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