humanizer-zh-academic

降低中文学术写作（论文、期刊文章、毕业论文等）AIGC检测率的专项 skill。基于真实论文改写实验（AIGC率从 >50% 降至 11%）归纳的规律，并参考 Wikipedia「Signs of...

What this skill does for you

降低中文学术写作（论文、期刊文章、毕业论文等）AIGC检测率的专项 skill。基于真实论文改写实验（AIGC率从 >50% 降至 11%）归纳的规律，并参考 Wikipedia「Signs of AI writing」项目的系统性模式分类。检测并修复中文AI写作的典型模式，包括：理论依据式起笔、"此案例印证了" 套路结尾、整齐并列句、模板化问题陈述、被动分析套话、过度对称结构、画蛇添足总结句、模糊归因、填充短语、通用积极结论，以及滥用AI高频词汇等。 Use when the user asks to: 降低AI率、人工润色、降低AIGC、humanize、去AI味、学术写作润色、论文降重、AIGC检测、AI痕迹消除、降低论文AI率、去除AI写作痕迹、学术文本人工化处理。

Quoted from the skill description in the pinned source

Who made it

Publisherredbaronyyyyy-eng

Repositoryhumanizer-zh-academic

Installs333as of Sep 27, 2026

Use it with Edge

Set up Edge for me: read getedge.cc/SKILL.md and follow it. Then use Edge to load the humanizer-zh-academic skill from redbaronyyyyy-eng/humanizer-zh-academic.

Paste it into Claude, ChatGPT, Codex or Cursor.

Or read the skill source first.

Security evidence

Security state at 2026-09-30: reviewed. State definitions. This records static evidence for this revision; live load eligibility is checked again.

3 static scans, 0 counted findings. The listed scanners recorded the results shown for this package revision.

Scanner	Date	Result
Edge static checks	2026-09-27	Pass
Cisco skill-scanner	2026-09-27	Pass
Semgrep Edge rules	2026-09-27	Pass

Static scans check the code, not how well the skill works.

Scanner scope, raw findings and mirrored provider records

Edge static checks (Edge-run): edge-static/1.0.1. Scope: Static patterns for remote execution, credentials with network sends, obfuscation, prompt overrides, hidden Unicode, binaries and persistence. Revision: 50e11af64eb4817f75b8be7d609b99d7cd80d801. Raw findings: . Counted findings: .

Cisco skill-scanner (Edge-run): cisco-skill-scanner/2.1.0. Scope: Local static, YARA, pipeline and behavioral analyzers; no LLM or AI Defense analysis. Revision: 50e11af64eb4817f75b8be7d609b99d7cd80d801. Raw findings: 1. Counted findings: .

Semgrep Edge rules (Edge-run): semgrep/1.178.0+edge-rules.c15016a36fd3+offline-v1. Scope: Six Edge-authored static rules with Semgrep CE; offline execution and metrics disabled. Semgrep-maintained rules excluded. Revision: 50e11af64eb4817f75b8be7d609b99d7cd80d801. Raw findings: . Counted findings: .

Source and licence

Repository: https://github.com/redbaronyyyyy-eng/humanizer-zh-academic
Pinned skill file: View source at revision
Revision: 50e11af64eb4817f75b8be7d609b99d7cd80d801
Package hash: sha256:8fa59f678740aff0ff5d65ff57a4cc2936e47037c26336aa47604e9db4d827ef
Licence: MIT