sloptrim-zh: 中文去 AI 味 Skill + 本地检测脚本。基于 sloptrim 汉化,参照 Humanizer-zh 的汉化思路

by ismilewolf-eng · Claude Skill · ★ 8

Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h

Security audit verdict: SAFE · quality 62/100

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.

ai-writingchineseclaude-codehumanizerskill

Quick Facts

Stars8
Forks0
LanguagePython
CategoryClaude Skill
LicenseApache-2.0
Quality Score62/100
Last Updated2026-10-11
Created2026-10-11
Platformsclaude-code, python
Est. Tokens~8k

About sloptrim-zh

中文去 AI 味 Skill + 本地检测脚本。基于 sloptrim 汉化,参照 Humanizer-zh 的汉化思路。

Compatible Skills

These tools work well together with sloptrim-zh for enhanced workflows:

  • humanizer-zh-next — semantic(0.77)+complementary+same_lang+shared_platform (65%)
  • slop-detector — semantic(0.16)+complementary+shared_fw(huggingface)+same_lang+similar_pop+shared_platform (63%)

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How this security grade is produced

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:

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