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 legeling · Codex Skill · ★ 980
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is awesome-codex-pet safe to install? View the security audit →
Awesome Codex Pet 简体中文 | English Open the curated gallery at codexpet.top → The website is the primary experience. Browse complete animations, collections, creator pages, community favorites, and install any pet without cloning this repository. Browse pets · Install a pet · Craft and submit This repository is the source catalog behind codexpet.top: it keeps installable pet packages, creator a
| Stars | 980 |
| Forks | 118 |
| Language | TypeScript |
| Category | Codex Skill |
| License | MIT |
| Quality Score | 65.4748524611443/100 |
| Open Issues | 43 |
| Last Updated | 2026-09-20 |
| Created | 2026-05-03 |
| Platforms | codex, node |
| Est. Tokens | ~26k |
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awesome-codex-pet is A curated gallery of community-made Codex pets, with generated action previews and one-command installation. codex宠物，codex 小宠物，像素宠物，桌宠，桌面宠物. It is categorized as a Codex Skill with 980 GitHub stars.
awesome-codex-pet is primarily written in TypeScript. It covers topics such as ai, chatgpt, codex.
You can find installation instructions and usage details in the awesome-codex-pet GitHub repository at github.com/legeling/awesome-codex-pet. The project has 980 stars and 118 forks, indicating an active community.
awesome-codex-pet is released under the MIT license, making it free to use and modify according to the license terms.
The top alternatives to awesome-codex-pet on Agent Skills Hub include codexia, archestra, dbhub. 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: