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 mylee04 · Claude Skill · ★ 288
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is code-notify safe to install? View the security audit →
Code-Notify Official downloads: https://github.com/mylee04/code-notify/releases Homebrew: npm: Desktop notifications for AI coding tools - get alerts when tasks complete or input is needed. Latest: Usage Limit Reset Alerts Code-Notify can now watch Codex and Claude usage limits and tell you when tokens are back. Daily reset: Weekly reset: Low-usage warnings: 20% and 10% remaining Delivery options: desktop notification, voice, sound, Slack, or Discord Voice samples: Daily reset · Weekly reset enables usage alerts, turns on distinct reset voice/sound, and starts a background watcher. [. 1 line
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code-notify is Cross-platform desktop notifications for Claude Code, Codex, and Gemini CLI. Install via Homebrew, npm, or script.. It is categorized as a Claude Skill with 288 GitHub stars.
code-notify is primarily written in Shell. It covers topics such as anthropic-claude, claude, claude-limit-reset-notifier.
You can find installation instructions and usage details in the code-notify GitHub repository at github.com/mylee04/code-notify. The project has 288 stars and 25 forks, indicating an active community.
code-notify is released under the MIT license, making it free to use and modify according to the license terms.
The top alternatives to code-notify on Agent Skills Hub include claude-notifications-go, daymon, gptree. 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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