Getting it into your agent
It runs from inside its repository, so the clone comes first — what it calls does not travel with the file alone.
git clone --depth 1 https://github.com/free-revalution/AIGC-Detector-Pronpx agentmods add skills/free-revalution/aigc-detector-pro/aigc-detectorWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/skills/free-revalution/aigc-detector-pro/aigc-detector)<a href="https://agentmods.dev/skills/free-revalution/aigc-detector-pro/aigc-detector"><img src="https://agentmods.dev/badge/skills/free-revalution/aigc-detector-pro/aigc-detector/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/skills/free-revalution/aigc-detector-pro/aigc-detector"><img src="https://agentmods.dev/badge/skills/free-revalution/aigc-detector-pro/aigc-detector.svg" alt="Reviewed on agentmods" width="80" height="20"></a>What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00060 | $0.04967 |
| Opus 5 | $0.00030 | $0.02483 |
| Sonnet 5 | $0.00012 | $0.00993 |
| Haiku 4.5 | $0.00006 | $0.00497 |
Grade A, and why
aigc-detector scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 12d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
How it starts
The opening of the file, as written. The whole thing — 461 lines — stays where its author put it; the contents beside it link to each section on GitHub.
AIGC Detection, Rewriting & Thesis Writing Assistant
Bilingual academic paper assistant. Two modes: Detection & Rewrite (analyze existing papers for AI-generated content) and Thesis Writing (generate full thesis drafts from templates and code). Supports Chinese and English academic papers.
使用方式
分析论文 / Analyze paper:
- "分析这篇论文的AIGC特征：/path/to/thesis.docx"
- "Analyze this paper for AI-generated content: /path/to/thesis.docx"
- "检测这篇论文的AI率"（然后粘贴文本）
改写论文 / Rewrite paper:
- "帮我改写这篇论文降低AI率：/path/to/thesis.docx"
- "Help me rewrite this paper to reduce AI detection rate: /path/to/thesis.docx"
撰写论文 / Write thesis:
- "帮我写毕业论文，模板在About/目录"
- "Help me write my graduation thesis, template is in About/"
- "开始论文写作模式"（然后按提示操作）
Agent 适配说明
本 Skill 适配多种 AI Agent。以下是各 Agent 的工具映射：
| 功能 | Claude Code | 其他 Agent (Codex / Cursor / Windsurf / Gemini) |
|---|---|---|
| 询问用户 | AskUserQuestion 工具 | 输出选项编号，等待用户输入数字选择 |
| 保存文件 | Write 工具 | 使用 Bash 写入文件 |
| 读取文档 | Bash + python3 | 相同 |
| 生成图表 | Bash + python3 diagram_gen.py | 相同 |
| 插入图片 | Bash + python3 docx_io.py insert_figure | 相同 |
| 路径解析 | .claude/skills/ → ~/.claude/skills/（fallback） | ~/.claude/skills/（全局安装路径） |
工作流程
严格按照以下步骤执行，不要跳过任何步骤。
模式选择（Mode Selection）
根据用户意图选择工作模式：
-
检测/改写模式（Detection & Rewrite Mode） — 用户要求分析或改写已有论文
- 触发词："分析""检测""改写""降低AI率""AIGC" + 文件路径或文本
- 执行下方 检测/改写模式 步骤（Step 0-5）
-
论文写作模式（Thesis Writing Mode） — 用户要求撰写或生成论文
- 触发词："写论文""撰写""生成论文""毕业论文""thesis""write paper"
- 执行下方 论文写作模式 步骤（Step W0-W5）
- 详细指令见
references/thesis_writing_guide.md
如果用户意图不明确，使用 AskUserQuestion 工具询问：
- "检测/改写已有论文"
- "撰写新论文"
检测/改写模式（Detection & Rewrite Mode）
Step 0：语言检测
检测论文语言。如果用户提供了 .docx 文件，先执行 Step 1 读取文档获取文本后再检测语言。
- 分析输入文本的前500个字符
- 如果非标点字符中中文字符占比 > 60% → 语言 = "zh"
- 否则 → 语言 = "en"
- 后续所有步骤（分析、报告、改写）均使用检测到的语言
中英文对应维度映射：
| 中文维度 | English Dimension |
|---|---|
| 句式规整度 | Sentence Regularity |
| 逻辑词密度 | Connector Density |
| 语态特征 | Voice Characteristics |
| 词汇多样性 | Vocabulary Diversity |
| 论证深度 | Argumentation Depth |
What ships with it
7 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
- references/2026-04-21-diagram-generation-design.md 6.0 KB
- references/2026-04-21-diagram-generation-plan.md 18 KB
- references/detection_principles.md 12 KB
- references/rewrite_methods.md 15 KB
- references/thesis_writing_guide.md 17 KB
- scripts/diagram_gen.py 3.7 KB runs code
- scripts/docx_io.py 25 KB runs code
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 12d ago First seen · 461 lines · 60 tokens per session scan A a7e6d61886fe
aigc-detector is a skill published in the GitHub repository free-revalution/AIGC-Detector-Pro (130 stars, last pushed 3mo ago), licensed MIT. It adds 60 tokens to every session and 4,967 once invoked, about $0.0003 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
Other skills, from other repositories
ai-check
Use when someone asks "does this sound AI?", "check if this is AI-written", "what gives this away as AI", "run ai-check on this", or "score this text". Also use when reviewing a draft for AI tells before publishing, or when a piece of text reads as suspiciously polished, generic, or pattern-y and the user wants a…
humanize
Use whenever the user asks to "humanize", "make this sound more human", "rewrite to avoid AI detection", "make this less AI-sounding", "add a human voice", or "write like a person". Also use when the user pastes text and asks why it reads as robotic, generic, flat, or AI-like, or when generating new text in a register…
humanize
The laundering chain: one generative pass that moves AI-drafted prose toward human-passing on Pangram. Stages in order — filter-tells (semantic cleanup), seeded match-voice (anchored Cohere seed, iterate only while the score falls), optional burstiness, tighten-style (word recovery), optional accent-dial…
match-voice
Rewrite paragraphs of a draft in the author's voice using a second model family served by Ollama, with a verification gate before any text is spliced back. Retrieves voice anchors from the repository's writing-voice/ exemplars, sends paragraph plus anchors to a local (or cloud) Ollama model, then gates the result on…
filter-tells
Detect and fix AI writing patterns recursively. Use when: reviewing text for AI tells, cleaning AI-generated drafts, checking for CoT leakage, measuring text perplexity and burstiness, making text sound human, fixing opening diversity. Triggers: filter-tells, ai detection, ai writing, perplexity, burstiness, CoT…
humanize-mba-text
A Chinese-language rewriting tool for making AI-generated text sound more natural in the style of a Chinese MBA thesis. It focuses on practical, evidence-based, academically structured writing.