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 tranfu-labs/tranfu-skills --skill humanizer-zhgit clone --depth 1 https://github.com/tranfu-labs/tranfu-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/tranfu-labs/tranfu-skills/humanizer-zh)<a href="https://agentmods.dev/skills/tranfu-labs/tranfu-skills/humanizer-zh"><img src="https://agentmods.dev/badge/skills/tranfu-labs/tranfu-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/tranfu-labs/tranfu-skills/humanizer-zh"><img src="https://agentmods.dev/badge/skills/tranfu-labs/tranfu-skills/humanizer-zh.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 | $0.00135 | $0.00550 |
| Opus 5.5 | $0.00054 | $0.00220 |
| Sonnet 5.5 | $0.00027 | $0.00110 |
| Haiku 4.5 | $0.00014 | $0.00055 |
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 2mo 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.
What it actually says
humanizer-zh (external thin pointer)
这是一个 external 薄指针 —— 公司库只存 frontmatter 和推荐者补充内容，不复制上游完整 skill body。
首次 tfs install humanizer-zh 时，install 流程会从 source_url 拉取上游 skill 到本地。上游包含中文版 SKILL.md、README.md 和 LICENSE。
- 上游 skill: https://github.com/op7418/Humanizer-zh
- 作者: op7418
- License: MIT
- 来源说明: 上游 README 声明核心文件翻译自
blader/humanizer，实用工具部分参考hardikpandya/stop-slop，并基于 WikipediaSigns of AI writing指南。
完整内容见 source_url。更新内容请直接看上游 README / SKILL.md，别在本仓库改 body。
推荐场景
适用:
- 把中文 AI 初稿改得更自然，去掉模板感、宣传腔和空泛结论
- 审阅文章、营销文案、博客、摘要或社媒内容中的 AI 写作痕迹
- 学习识别常见 AI 写作模式，例如夸大意义、模糊归因、三段式列举、过度连接词和谄媚语气
不适用:
- 要求伪造真人身份、绕过检测器或规避平台规则
- 需要事实核查、引用补充、调研或证据审查
- 只做翻译、SEO 关键词改写或正式公文格式化
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.
- 2mo ago First seen · 35 lines · 135 tokens per session scan A 3d2ee2c4b04e
humanizer-zh is a skill published in the GitHub repository tranfu-labs/tranfu-skills (2 stars, last pushed 24d ago), licensed MIT. It adds 135 tokens to every session and 550 once invoked, about $0.0005 per session on Opus 5.5. 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 2026-08-31.
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