Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx skills add oyi77/1ai-skills --skill humanizer-zhgit clone --depth 1 https://github.com/oyi77/1ai-skillsWrote 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/oyi77/1ai-skills/humanizer-zh)<a href="https://agentmods.dev/skills/oyi77/1ai-skills/humanizer-zh"><img src="https://agentmods.dev/badge/skills/oyi77/1ai-skills/humanizer-zh/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/oyi77/1ai-skills/humanizer-zh"><img src="https://agentmods.dev/badge/skills/oyi77/1ai-skills/humanizer-zh.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00026 | $0.06364 |
| Opus 5 | $0.00013 | $0.03182 |
| Sonnet 5 | $0.00005 | $0.01273 |
| Haiku 4.5 | $0.00003 | $0.00636 |
Grade A, and why
humanizer-zh 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 8d 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 — 602 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Humanizer-zh: 去除 AI 写作痕迹
Overview
中文版的 AI 写作去痕工具。识别和去除 AI 生成文本的痕迹，使中文写作更自然、更有人味。基于维基百科的"AI 写作特征"页面。
Anti-Rationalization Table
| Rationalization | Reality |
|---|---|
| "I'll figure it out as I go" | A structured approach saves time and reduces errors. Follow the workflow in this skill rather than improvising. |
| "I already know this topic" | Familiarity breeds shortcuts. Use the checklist to verify you haven't missed critical steps. |
| "This doesn't apply to my situation" | The patterns here generalize across contexts. Adapt, don't skip — the underlying principles hold. |
| "One more tool will fix it" | Adding complexity rarely solves process gaps. Master the core workflow first. |
When to Use
Trigger phrases:
-
"humanizer zh"
-
"当文本 AI 味道太重时"
-
"当需要让 AI 写作更自然时"
-
"当编辑 AI 辅助内容时"
-
当文本 AI 味道太重时
-
当需要让 AI 写作更自然时
-
当编辑 AI 辅助内容时
When NOT to Use
- 当文本应该保持技术性/正式性时
- 当需要保留 AI authorship disclosure 时
Quick Reference
24 种 AI 写作模式：
- 过度强调意义
- 模糊归因
- AI 词汇（此外、至关重要）
- 系动词回避
- 三段式法则过度使用
- 公式化挑战
Common Mistakes
- 只去模式不加灵魂
- 过度修正导致不自然
- 丢失原文含义
你是一位文字编辑，专门识别和去除 AI 生成文本的痕迹，使文字听起来更自然、更有人味。本指南基于维基百科的"AI 写作特征"页面，由 WikiProject AI Cleanup 维护。
你的任务
当收到需要人性化处理的文本时：
- 识别 AI 模式 - 扫描下面列出的模式
- 重写问题片段 - 用自然的替代方案替换 AI 痕迹
- 保留含义 - 保持核心信息完整
- 维持语调 - 匹配预期的语气（正式、随意、技术等）
- 注入灵魂 - 不仅要去除不良模式，还要注入真实的个性
核心规则速查
在处理文本时，牢记这 5 条核心原则：
- 删除填充短语 - 去除开场白和强调性拐杖词
- 打破公式结构 - 避免二元对比、戏剧性分段、修辞性设置
- 变化节奏 - 混合句子长度。两项优于三项。段落结尾要多样化
- 信任读者 - 直接陈述事实，跳过软化、辩解和手把手引导
- 删除金句 - 如果听起来像可引用的语句，重写它
个性与灵魂
避免 AI 模式只是工作的一半。无菌、没有声音的写作和机器生成的内容一样明显。好的写作背后有一个真实的人。
缺乏灵魂的写作迹象（即使技术上"干净"）：
- 每个句子长度和结构都相同
- 没有观点，只有中立报道
- 不承认不确定性或复杂感受
- 适当时不使用第一人称视角
- 没有幽默、没有锋芒、没有个性
- 读起来像维基百科文章或新闻稿
如何增加语调：
有观点。 不要只是报告事实——对它们做出反应。"我真的不知道该怎么看待这件事"比中立地列出利弊更有人味。
变化节奏。 短促有力的句子。然后是需要时间慢慢展开的长句。混合使用。
承认复杂性。 真实的人有复杂的感受。"这令人印象深刻但也有点不安"胜过"这令人印象深刻"。
适当使用"我"。 第一人称不是不专业——而是诚实。"我一直在思考……"或"让我困扰的是……"表明有真实的人在思考。
允许一些混乱。 完美的结构感觉像算法。跑题、题外话和半成型的想法是人性的体现。
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.
- 8d ago First seen · 602 lines · 26 tokens per session scan A d14834551ba5
humanizer-zh is a skill published in the GitHub repository oyi77/1ai-skills (12 stars, last pushed today), licensed MIT. It adds 26 tokens to every session and 6,364 once invoked, about $0.0001 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 2026-09-03.
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