by MrGeDiao · Codex Skill · ★ 2.5k
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
Featured in: Humanizer & Anti-Slop Skills
git clone https://github.com/MrGeDiao/shuorenhua.git
Taken from the project's README on GitHub. Check the security audit before running it.
None of the 42 rules matched — no credential harvesting, no data exfiltration, no curl-pipe-shell installer. Scanned against 42 published rules built on the SlowMist agent-security taxonomy, refreshed every 8 hours. Full audit →
The quality score combines nine heuristic checks of the repo and its README: completeness, clarity, specificity, examples, structure, agent readiness, step-by-step content, instruction quality and security notes. It rates how well the project explains itself to an agent, not the code.
One of 23 tools we ran end to end on the same task for our Humanizer & Anti-Slop Skills page (2026-10-07).
Result: Reads human 2/5 · Changed wording, not structure · kept every fact · 0.5 min
| Stars | 2,526 |
| Forks | 92 |
| Language | Python |
| Category | Codex Skill |
| License | MIT |
| Quality Score | 62/100 |
| Open Issues | 1 |
| Last Updated | 2026-11-07 |
| Created | 2026-03-22 |
| Platforms | claude-code, codex, python |
| Est. Tokens | ~14k |
说人话 我已经把差异收窄了,根因基本坐实,和我刚抓到的现象也对上了。接下来做一个更硬的排除法,稳稳兜住,落盘之后就能收口了。 这是 GPT-5.4 跟你说的"人话"。没有一个正常人会这么聊天。 说人话是一套规则,让 AI 输出的中文读起来像人写的。英文也管。装进你的 AI 编辑器,写出来的东西就不再一股 AI 味。 效果 改写前: 在当今快速发展的人工智能时代,如何打造一个真正赋能开发者的工具,已经成为业界不容忽视的关键议题。数据显示,采用该方案的团队生产力实现了显著提升。总而言之,这款工具必将成为推动行业发展的重要力量。 改写后: AI 工具很多,真正能帮开发者把活做快、做稳的并不多。用过这套方案的团队,开发节奏明显快了,代码返工也少了。 改写前(工程师腔): 我先把这个 bug 抠出来看看根因,稳稳兜住之后落盘,收口之前再补一刀确认。 改写后: 我先定位这个 bug...
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Grades come from a rule-based scan built on the SlowMist agent-security taxonomy: 42 published rules, covering credential harvesting, data exfiltration, curl | sh installers and more. 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: