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 ntd4996 · Codex Skill · ★ 348
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is agentpet safe to install? View the security audit →
If AgentPet helps your workflow, please give it a star — it really helps! English · Tiếng Việt · 简体中文 · 日本語 Run several coding agents at once (Claude Code, Codex, ...) and AgentPet tells you, at a glance, which one is working, which one is done, and which one is waiting for your input, so you stop tab-hunting across terminals. A little pet floats on your desktop and reacts to it all. Why Running multiple agents in parallel means constantly switching windows to check who needs you. AgentPet surfaces that in two places: Menu bar monitor for the details: every running agent, its state, wha
| Stars | 348 |
| Forks | 57 |
| Language | Swift |
| Category | Codex Skill |
| License | MIT |
| Quality Score | 72.5906326339833/100 |
| Open Issues | 1 |
| Last Updated | 2026-09-07 |
| Created | 2026-05-31 |
| Platforms | claude-code, cli, codex, gemini |
| Est. Tokens | ~16k |
These tools work well together with agentpet for enhanced workflows:
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agentpet is A desktop pet for macOS & Windows that monitors your AI coding agents (Claude Code, Codex, Cursor, Gemini...) in real time, and grows as you code, feed it tokens, level it up, climb the leaderboard.. It is categorized as a Codex Skill with 348 GitHub stars.
agentpet is primarily written in Swift. It covers topics such as ai-agents, claude-code, codex.
You can find installation instructions and usage details in the agentpet GitHub repository at github.com/ntd4996/agentpet. The project has 348 stars and 57 forks, indicating an active community.
agentpet is released under the MIT license, making it free to use and modify according to the license terms.
The top alternatives to agentpet on Agent Skills Hub include MioIsland, CodeIsland, vibe-island-updates. 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: