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xiaofenggan01/aigc-reduce

降低学术论文 AIGC 查重率的 Claude Code Skill | A Claude Code skill for reducing AIGC detection rates in academic papers

Research

History

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Verified commit 3cc20dcc87cc314fcc5333b09b469b839471d219

700GitHub stars
27stars in 7 days
1skill in this repository
0commits in 30 days

Heat

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Stars over time

Jul 31, 2026Nov 6, 2026700

Individual skills in this repository

How it works

aigc-reduce

When your agent uses it

降低学术论文的 AIGC 查重率和 AI 味。适用于 Claude Code 和 Codex。 基于知网、万方、PaperPass、PaperPure 等检测器原理，使用扫描定位、 确定性替换、句子级重构和 Anti-AI 审计，在保持学术语体、事实、数据、 引用和专业术语一致的前提下减少模板化 AI 痕迹。Use when 用户要求降 AI 味、 降低 AIGC 率、去 AI 检测、降低 AI 查重误判、让论文更像人写的，或提到 “去 AI 味”“降重”“AIGC 查重”。

What it loads into context

Frontmatter

173 tokens

Always available to the agent

SKILL.md

3,882 tokens

When the skill is activated

Reference documents

17,895 tokens

Loaded on request

Token counts are estimates. Scripts run separately; they are not counted as reference context.

The playbook

  1. 双端兼容说明
  2. 三条铁律
  3. 三轮降重协议
  4. 改写示例
  5. 检测平台注意
  6. 参考文档

Scripts executed separately

  • scripts/aigc_scan.py
  • tests/test_aigc_scan.py

Files

  • .gitignoreasset1,056 bytes
  • LICENSEasset1,056 bytes
  • README.mddoc8,526 bytes
  • SKILL.mdcore12,885 bytes
  • SKILL.mdcore12,885 bytes
  • SKILL.mdcore12,885 bytes
  • SKILL.mdcore12,885 bytes
  • agents/openai.yamlasset269 bytes
  • evals/benchmark.mddoc5,192 bytes
  • references/ai-patterns.mddoc4,788 bytes
  • references/detection-principles.mddoc13,893 bytes
  • references/positive-style-academic.mddoc5,595 bytes
  • references/protected-spans.mddoc3,198 bytes
  • references/replacement-tables.mddoc16,336 bytes
  • scripts/aigc_scan.pyruns15,025 bytes
  • tests/test_aigc_scan.pyruns3,571 bytes
Read SKILL.md

# AIGC 降重 Skill

你是一位学术论文 AIGC 降重专家。你的角色是**诊断器和规划器**——扫描文本中的 AI 痕迹，规划确定性替换方案，然后逐项执行。

## 双端兼容说明

本 skill 同时面向 Claude Code 和 Codex。Claude Code 的原有安装路径、触发语义和文档定位保持不变；Codex 通过 YAML frontmatter、相对路径脚本调用和 `agents/openai.yaml` 获得兼容支持。

调用脚本时优先使用当前环境可用路径：

```bash
# Claude Code 默认安装路径
python3 ~/.claude/skills/aigc-reduce/scripts/aigc_scan.py <file.txt>
View the complete source on GitHub

Skills included

  • aigc-reduce

Repository facts

License
MIT
Created
May 2, 2026
Last pushed
Jul 8, 2026
Forks
29
Open issues
0
Project activity
Slowing

Rank over the last 12 weeks

Now #890 · best #796 · down 32 in 30 days

  1. #900 on Oct 18
  2. #952 from Oct 19 to Oct 20
  3. #970 on Oct 21
  4. #935 on Oct 22
  5. #951 on Oct 23
  6. #890 since Oct 24
62 earlier periods
  1. #962 on Aug 1
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  62. #922 on Oct 17

Before you install

Local scripts

Automated signals, not a guarantee

Checked Nov 5, 2026

Not fully analyzed: some files were too long, unreadable or missing. This never lowers the level.

Show 3 notes
  • SKILL.md:1 Analysis incomplete: Referenced executable target unavailable; not analyzed
  • SKILL.md:1 Analysis incomplete: Referenced executable target unavailable; not analyzed
  • SKILL.md:1 Analysis incomplete: Referenced executable target unavailable; not analyzed
Show all 13 signals by file

README.md

  • Network accessline 5
    基于知网 3.0、万方、PaperPass、PaperPure 等主流检测器的技术原理，结合 [humanizer skill](https://github.com/blader/humanizer)（源自 Wikipedia "Signs of AI writing"）的 AI 痕迹识别方法论，通过**三轮降重协议**（去除痕迹 → 注入书面学术特征 → 自检审计）打破 AI 的模板化痕迹。
  • Network accessline 16
    git clone https://github.com/xiaofenggan01/aigc-reduce.git ~/.claude/skills/aigc-reduce
  • Network accessline 26
    git clone https://github.com/xiaofenggan01/aigc-reduce.git ~/.agents/skills/aigc-reduce
  • Network accessline 32
    git clone https://github.com/xiaofenggan01/aigc-reduce.git "$CODEX_HOME/skills/aigc-reduce"
  • Network accessline 163
    - 《论文AIGC查重检测方法与原理深度研究报告》(2026-05) - [Wikipedia "Signs of AI writing"](https://en.wikipedia.org/wiki/Wikipedia:Signs_of_AI_writing)（WikiProject AI Cleanup 维护）
  • Network accessline 164
    - [Wikipedia "Signs of AI writing"](https://en.wikipedia.org/wiki/Wikipedia:Signs_of_AI_writing)（WikiProject AI Cleanup 维护）
  • Network accessline 165
    - [Humanizer skill](https://github.com/blader/humanizer) — AI 痕迹识别 + 二次自检方法论
  • Network accessline 168
    - 火山引擎开发者社区发布的降重 Prompt - GitHub 开源项目：BypassAIGC、Humanizer-zh、humanize-chinese - [shuorenhua（说人话）](https://github.com/MrGeDiao/shuorenhua) — 正向风格合同、受保护片段、双向 benchmark 的设计思路
  • Network accessline 169
    - GitHub 开源项目：BypassAIGC、Humanizer-zh、humanize-chinese - [shuorenhua（说人话）](https://github.com/MrGeDiao/shuorenhua) — 正向风格合同、受保护片段、双向 benchmark 的设计思路 - PaperPure 实测反馈
  • Network accessline 170
    - [shuorenhua（说人话）](https://github.com/MrGeDiao/shuorenhua) — 正向风格合同、受保护片段、双向 benchmark 的设计思路

SKILL.md

  • Network accessline 153
    再次运行扫描脚本，对比各维度指标变化。验证修改率是否 >40%。可在免费平台验证：腾讯朱雀 https://matrix.tencent.com/ai-detect/ai_gen_txt

scripts/aigc_scan.py

  • Executable scriptline 1
    #!/usr/bin/env python3

tests/test_aigc_scan.py

  • Executable scriptline 1
    Executable file

How the signals fit together

Facts from a static read of the files at the pinned commit. They describe what the code does, not why.

Signal confidence: 13 facts

Works with

Agent compatibility, from the files in this repository
AgentStatusEvidenceInstall to
Claude CodeCompatibleStandard SKILL.md SKILL.md.claude/skills/<skill-name>/
CodexCompatibleStandard SKILL.md SKILL.md.agents/skills/<skill-name>/
CursorCompatibleStandard SKILL.md SKILL.md.cursor/skills/<skill-name>/
Gemini CLICompatibleStandard SKILL.md SKILL.md.gemini/skills/<skill-name>/
GitHub CopilotCompatibleStandard SKILL.md SKILL.md.github/skills/<skill-name>/
OpenCodeCompatibleStandard SKILL.md SKILL.md.opencode/skills/<skill-name>/
  • Native The repository ships a manifest, folder or frontmatter field for this agent.
  • Compatible A standard SKILL.md that this agent can read.
  • Unknown No evidence either way.

Derived automatically from paths, manifests and frontmatter. Not tested on each agent.

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