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 Immortalqx · Codex Skill · ★ 50
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is my_codex_skills safe to install? View the security audit →
mycodexskills English | Chinese Personal Codex skills for reusable research, writing, document-production, and project-navigation workflows. Each skill in this repository is a top-level directory. A valid skill directory contains at its root and may also include , , , or . Unless a skill explicitly says otherwise, these skills are designed for standalone Codex use: bundled local scripts, local files, and normal public web access are part of the expected path; hidden reviewer chains, notification hooks, and implicit cross-skill orchestration are not. Skills Word editing, redlining, commenting, and OOXML-aware document wo
| Stars | 50 |
| Forks | 0 |
| Language | Python |
| Category | Codex Skill |
| License | MIT |
| Quality Score | 60.0876031830564/100 |
| Last Updated | 2026-07-23 |
| Created | 2026-04-24 |
| Platforms | codex, python |
| Est. Tokens | ~15k |
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my_codex_skills is This repository collects my personal Codex skills for reusable research workflows.. It is categorized as a Codex Skill with 50 GitHub stars.
my_codex_skills is primarily written in Python.
You can find installation instructions and usage details in the my_codex_skills GitHub repository at github.com/Immortalqx/my_codex_skills. The project has 50 stars and 0 forks, indicating an active community.
my_codex_skills is released under the MIT license, making it free to use and modify according to the license terms.
The top alternatives to my_codex_skills on Agent Skills Hub include theorist. 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: