by swaylq · Claude Skill · ★ 27
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
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.
| Stars | 27 |
| Forks | 3 |
| Language | Python |
| Category | Claude Skill |
| Quality Score | 59/100 |
| Open Issues | 2 |
| Last Updated | 2026-08-29 |
| Created | 2026-05-21 |
| Platforms | claude-code, python |
| Est. Tokens | ~19k |
中文 AI 文本去痕迹 + Claude 水印检查 — 六段式改写；零宽字符、同形字清干净，SynthID 采样水印只量残留、不声称能删。纯 Python 本地跑，零 LLM 零 API Key。Chinese AI-text humanizer & Claude / SynthID watermark inspector, fully offline, zero-dependency.
These tools work well together with humanize-chinese for enhanced workflows:
Looking for a humanize-chinese alternative? If you're comparing humanize-chinese with other claude skill tools, these 6 projects are the closest alternatives on Agent Skills Hub — ranked by topic overlap, star count, and community traction.
Правит русский текст после нейросети и сверяет цифры, даты и имена. Навык для Claude Code, Codex, Cursor и Cla
AI humanizer skill for Claude Code, Codex and Cursor. Removes AI slop and the signs of AI writing, then measur
Remove multi-vendor AI provenance traces: Unicode text sanitization, statistical rewriting techniques, and C2P
In today's rapidly evolving landscape, vale-ai-tells is a comprehensive, cutting-edge Vale style package that
Türkçe metinlerden yapay zekâ yazım imzalarını temizleyen Claude skill'i. YZ üretimi Türkçe'yi doğal, insan-se
From one sentence to a publishable book. 21 AI skills for Claude Code that automate the entire book writing pi
Explore other popular claude skill tools:
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: