paper-humanizer-skill: 中英文学术文本润色与人性化skill,用于去除 AI 生成的痕迹,同时严格保持事实准确性

by crabin · AI Tool · ★ 124

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

How to install paper-humanizer-skill

git clone https://github.com/crabin/paper-humanizer-skill.git /tmp/paper-humanizer-skill

Taken from the project's README on GitHub. Check the security audit before running it.

Security audit verdict: SAFE · quality 57/100

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.

Quick Facts

Stars124
Forks10
LanguagePython
CategoryAI Tool
Quality Score57/100
Last Updated2026-03-28
Created2026-01-19
Platformspython
Est. Tokens~4k

About paper-humanizer-skill

Paper Humanizer Skill 中英文学术文本润色与人性化Skill,用于去除 AI 生成的痕迹,同时严格保持事实准确性。 ✨ 主要功能 🎯 去除 AI 痕迹:识别并移除常见的 AI 写作模式 📚 学术语气优化:保持学术严谨性,提升文本自然度 🔒 事实严格保护:绝不编造数据、篡改数值或改变实验结论 🌍 双语支持:完整支持中文和英文学术写作 ⚙️ 高度可配置:多种参数配置,适应不同写作风格 🚀 快速开始 作为 Claude Code Skill 使用 安装步骤 使用 在对话中直接使用,系统会自动应用相应的提示词。 命令行脚本使用 📋 参数配置 基础参数 约束控制

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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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