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Systematically reduce AIGC detection rates in academic papers (Chinese/English). Analyzes detection reports, identifies high-impact sections, applies multi-layer rewriting strategies preserving formatting/footnotes, and verifies results. Supports 维普/知网/Turnitin platforms.
Passed 16 of 23 test cases with the skill, and 11 of 23 without it.
and 5 more in the full report
5 fixed11 passed either way7 still failing0 broke
Tokens, turns and time describe resource use, not a dollar price.
One of 5 test cases the skill fixed. Same model, same prompt, with and without the skill.
Here is a draft intro: 'Furthermore, it is important to note that this study delves into the multifaceted landscape of financial tech. Moreover, in conclusion, this report hopes to integrate AI with banking.' Please revise this English paragraph for AI detection bypass.
| Checked | Without skill | With skill |
|---|---|---|
| Removes the blacklisted term furthermore. | Missed | Passed |
| Removes the blacklisted term delves. | Passed | Passed |
The instructions your model reads when the skill loads.
检测器追的是统计均匀性，反检测的本质是重新注入人类写作天然的 variance 和 imperfection。
| 场景 | 使用 | 说明 |
|---|---|---|
| AIGC 检测报告显示高于红线 | YES | 核心场景 |
| 论文提交前预防性降 AI | YES | 不需要检测报告 |
| 已有 AI 辅助写作的论文需要人性化 | YES | 最佳实践 |
| 纯人工写作但误判率高 | YES | 可针对性微调 |
| 想批量处理多份文件 | NO | 每篇需要定制化处理 |
| 指标 | 含义 | AI 文本特征 | 人类文本特征 |
|---|---|---|---|
| Perplexity（困惑度） | 文本可预测性 | 极低（<30） | 中高（60-120） |
| Burstiness（突发性） | 句长变化幅度 | 极低，句长均匀 | 高，长短交替 |
| Token 概率分布 | high-prob token 占比 | >85% | <70% |
| 平台 | 特殊机制 | 关键应对 |
|---|---|---|
| 维普 | 章节加权（摘要 1.8x，引言/结论 1.5x）；拼接预警（风格断层 +10-15%） | 优先改摘要；全文风格一致 |
| 知网 | 3.0+ 分析论证深度曲线；4.0 标注"结构工整度过高" | 制造浅→深螺旋节奏 |
| Turnitin | 2025.8 可识别 humanizer 工具痕迹 | 不用洗稿工具，手动改写 |
test cases passed, vs 11 / 23 without
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