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 hanzhcn/laohan-skills --skill duopingtaigit clone --depth 1 https://github.com/hanzhcn/laohan-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/hanzhcn/laohan-skills/duopingtai)<a href="https://agentmods.dev/skills/hanzhcn/laohan-skills/duopingtai"><img src="https://agentmods.dev/badge/skills/hanzhcn/laohan-skills/duopingtai/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/hanzhcn/laohan-skills/duopingtai"><img src="https://agentmods.dev/badge/skills/hanzhcn/laohan-skills/duopingtai.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 | $0.00099 | $0.00805 |
| Opus 5 | $0.00049 | $0.00402 |
| Sonnet 5 | $0.00020 | $0.00161 |
| Haiku 4.5 | $0.00010 | $0.00081 |
Grade A, and why
duopingtai 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 10d 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
多平台改写 Skill
将一段口播稿或文章，改写为适合抖音、小红书、公众号三个平台的版本。
输入要求
用户需提供一段口播稿或文章原文。如果用户没有提供，主动要求用户提供原文。
改写规则
抖音版
- 格式：短视频口播稿，保持口语化
- 字数：必须达到原文的 60%-80%。具体操作：保留原文所有核心段落，只删过渡句和重复表达，不删观点、数据、步骤
- 开头：必须用痛点/反常/好奇心钩子开头，禁止"大家好"式开场
- 结尾：一句话收束 + 一个可操作步骤
- 禁止：书面语、长句、排比句、空洞感叹
- 自检：写完后统计字数，如果低于原文60%，说明删多了，补回被删的核心内容
小红书版
- 格式：图文笔记（不含图片，只出文字内容）
- 标题：单独一行，15字以内，用「」包裹
- 正文：每段 1-2 句话，段落间空行
- emoji：每个要点前加 1 个相关 emoji，全文不超过 8 个
- 标签：末尾加 3-5 个 #标签
- 禁止：长段落、纯口号、过度堆砌 emoji
公众号版
- 格式：深度长文，带小标题结构
- 字数：必须达到原文的 120%-150%。具体操作：每个核心观点都要展开论述，增加具体场景描述、使用体验、数据解读，不能只罗列要点
- 标题：单独一行，20字以内，有信息量（不要标题党）
- 结构：开头引出问题 → 2-3 个核心观点（带小标题）→ 结尾总结 + 互动引导
- 禁止：口语化表达、emoji、短视频节奏
- 自检：写完后统计字数，如果低于原文120%，说明展开不够，回到每个小标题下补充具体论述
输出格式
用以下格式输出，三个版本之间用分隔线：
## 抖音版
[改写后的口播稿]
---
## 小红书版
「[标题]」
[改写后的图文笔记正文]
#标签1 #标签2 #标签3
---
## 公众号版
[标题]
[改写后的长文]
注意事项
- 核心信息（观点、数据、结论）三个版本必须一致，只是表达方式不同
- 不要在任何一个版本中凭空增加原文没有的信息
- 如果原文太短（少于100字），主动提醒用户"原文较短，公众号版可能展开不够充分"
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.
- 10d ago First seen · 74 lines · 99 tokens per session scan A 6d17bf8795b9
duopingtai is a skill published in the GitHub repository hanzhcn/laohan-skills (11 stars, last pushed 14d ago), licensed MIT. It adds 99 tokens to every session and 805 once invoked, about $0.0005 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.
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