by Claycui828 · Codex Skill · ★ 163
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
阿酥式高密度技术履历生成与证据优先简历审计
| Stars | 163 |
| Forks | 15 |
| Language | Python |
| Category | Codex Skill |
| License | MIT |
| Quality Score | 54.5668913166764/100 |
| Open Issues | 2 |
| Last Updated | 2026-08-23 |
| Created | 2026-08-13 |
| Platforms | codex, python |
| Est. Tokens | ~13k |
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ASu-resume-skills is 阿酥式高密度技术履历生成与证据优先简历审计. It is categorized as a Codex Skill with 163 GitHub stars.
ASu-resume-skills is primarily written in Python. It covers topics such as ai-agent, chinese, codex.
You can find installation instructions and usage details in the ASu-resume-skills GitHub repository at github.com/Claycui828/ASu-resume-skills. The project has 163 stars and 15 forks, indicating an active community.
ASu-resume-skills is released under the MIT license, making it free to use and modify according to the license terms.
The top alternatives to ASu-resume-skills on Agent Skills Hub include skillport, awesome-openclaw-zh, openclaw-docs. 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: