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 jiushiwon/wg-skills --skill humanizergit clone --depth 1 https://github.com/jiushiwon/wg-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/jiushiwon/wg-skills/humanizer)<a href="https://agentmods.dev/skills/jiushiwon/wg-skills/humanizer"><img src="https://agentmods.dev/badge/skills/jiushiwon/wg-skills/humanizer/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/jiushiwon/wg-skills/humanizer"><img src="https://agentmods.dev/badge/skills/jiushiwon/wg-skills/humanizer.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 | $0.00056 | $0.02713 |
| Opus 5 | $0.00028 | $0.01357 |
| Sonnet 5 | $0.00011 | $0.00543 |
| Haiku 4.5 | $0.00006 | $0.00271 |
Grade A, and why
humanizer 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 6d 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 — 211 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Humanizer: 去除AI写作模式
让AI生成的文字读起来像人写的，不改变原意。基于维基百科"AI写作迹象"项目（WikiProject AI Cleanup）维护的35个模式。
核心原则
- 保留所有事实。可以缩短冗余部分、扩展有用内容、合并或拆分段落，但信息不能丢。
- 不编造细节。不添加原文没有的事实、人名、数字、日期、引文或引用。如果句子缺少必要细节，要么问用户，要么用更简单的句子。
- 匹配作者风格。根据文本类型使用合适的语气（正式/随意/技术性）。只有在文本和作者需要时才加入个性。
- 允许不完美。人写的文章会有犹豫、自我修正、不均匀的节奏——这些是人的痕迹，不要删掉。
使用方式
直接调用：
/humanizer
[粘贴文本]
或用自然语言：
帮我去除这段文字的AI味道：[粘贴文本]
重写文件：
去掉 docs/launch-post.md 的AI味道
匹配你的风格
如果想让重写更像你自己的风格，附上样本：
/humanizer
以下是我写的样本：
[粘贴2-3段你自己的文字]
帮我改掉这段的AI味道：
[粘贴AI生成的文本]
35个AI写作模式
内容模式
| # | 模式 | 示例（改前） | 示例（改后） |
|---|---|---|---|
| 1 | 夸大重要性 | "标志着区域统计学演进的关键时刻" | "1989年成立，是西班牙行政权力下放的一部分" |
| 2 | 名人背书 | "被纽约时报、BBC、金融时报引用" | "被纽约时报和BBC引用" |
| 3 | 浅层-ing分析 | "象征着...反映...展示..." | 只保留原文支持的内容 |
| 4 | 销售话术 | "坐落在令人叹为观止的地区" | "是埃塞俄比亚贡德尔地区的一个城镇" |
| 5 | 模糊来源 | "专家认为它起着关键作用" | 要么给出具体来源，要么删除该说法 |
| 6 | 公式化挑战与展望 | "尽管面临挑战...持续蓬勃发展" | 保留事实，删除套话 |
语言和语法模式
| # | 模式 | 示例（改前） | 示例（改后） |
|---|---|---|---|
| 7 | AI高频词 | "实际上...此外...关键...深入...展示" | "也...需要...仍然常见" |
| 8 | 回避is/are | "作为...拥有...提供" | "是...有" |
| 9 | Not X but Y | "不仅仅是X，更是Y" | 直接陈述观点 |
| 10 | 强制三连 | "创新、灵感和洞察" | 按实际需要的数量 |
| 11 | 同义词替换/重复开头 | "主角...主人公...英雄" | 用同一个名称，或合并重复句子 |
| 12 | 虚假范围 | "从大爆炸到暗物质" | 直接列出主题 |
| 13 | 被动语态 | "无需配置文件" | "你不需要配置文件" |
风格模式
| # | 模式 | 示例（改前） | 示例（改后） |
|---|---|---|---|
| 14 | 破折号滥用 | "机构——不是人民——" | "机构，不是人民，" |
| 15 | 加粗过多 | "OKRs、KPIs、BMC" | "OKRs、KPIs、BMC" |
| 16 | 列表+粗体小标题 | "性能： 性能提升..." | "更新改善了界面，加快了加载速度..." |
| 17 | 标题大写 | "战略谈判与合作伙伴关系" | "战略谈判与合作关系" |
| 18 | Emoji | "🚀 启动阶段：💡 关键洞察：" | 删除emoji |
| 19 | 花引号 | 他说"项目在正轨上" |
他说"项目在正轨上" |
| 26 | 过多连字符词 | "跨职能、数据驱动、面向客户" | 只保留语法需要的连字符 |
| 27 | 假装揭示深层真相 | "本质上，真正重要的是..." | 直接陈述观点 |
| 28 | 预告下一点 | "让我们深入了解" | 直接开始内容 |
| 29 | 标题重复 | "## 性能" + "速度很重要。" | 让标题自己说话 |
| 30 | 描述旧版本 | "此函数用于替代之前的..." | 描述它现在做什么 |
| 31 | 强制金句 | "它没有偏好。没有先验。没有怀旧。" | 用自然长度的句子和具体说法 |
| 32 | 公式化格言 | "对称是信任的语言" | 陈述具体观点 |
| 33 | 假装坦诚 | "老实说？这取决于..." | 直接回答 |
| 34 | 回答没人问的反对 | "这不是主要关于..." | 删除无依据的辩护 |
| 35 | 否定虚假选项 | "一个诱人的选择是...但是" | 删除假选项，保留真正选择 |
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.
- 6d ago First seen · 211 lines · 56 tokens per session scan A bdfa32b87270
humanizer is a skill published in the GitHub repository jiushiwon/wg-skills (100 stars, last pushed 2d ago), licensed Apache-2.0. It adds 56 tokens to every session and 2,713 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 2026-09-06.
Other skills, from other repositories
systematic-debugging
Use when encountering any bug, test failure, or unexpected behavior, before proposing fixes.
local-ai-agents
Build local-first AI agents that run entirely on a developer workstation with Microsoft Foundry Local and Qwen function-calling models. Covers Small Language Models (SLMs), the OpenAI-compatible local endpoint, sandboxed local tools, local RAG with Chroma, local MCP servers, hybrid cloud/local routing, and the…
next-cache-components-adoption
Turn on Cache Components in a Next.js app and resolve the blocking routes it surfaces. Use when the user wants to enable, adopt, or migrate to Cache Components, flip the cacheComponents flag, work through a flood of blocking-prerender / instant validation errors, run the cache-components-instant-false codemod, or…
chat-pet-sprite-creation
Use when creating or changing VS Code chat pet sprite art, sprite sheets, state animations, eye treatments, Stable/Insiders variants, or pet transitions under src/vs/workbench/contrib/chat/browser/widget/media/chatPet.
cpu-profile-analysis
Analyze V8/Chrome CPU profiles (.cpuprofile) and DevTools trace files (Trace-.json). Use when: profiling performance, investigating slow functions, comparing code paths, finding bottlenecks, analyzing timeToRequest, understanding call trees from sampling profiler data, analyzing layout/paint/rendering, investigating…
insight-error-page
Write or audit an insight-kind error page for the Next.js dev overlay. Use when creating a new errors/ .mdx page, auditing an existing one, or checking that a page matches the framework fix cards. Covers page structure, title alignment, FixCard cards with Copy prompt button, code snippets, terminology verification…