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 mengke-wang/xiaohongshu-ai-workbench --skill xiaohongshu-conversion-pathgit clone --depth 1 https://github.com/mengke-wang/xiaohongshu-ai-workbenchWrote 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/mengke-wang/xiaohongshu-ai-workbench/xiaohongshu-conversion-path)<a href="https://agentmods.dev/skills/mengke-wang/xiaohongshu-ai-workbench/xiaohongshu-conversion-path"><img src="https://agentmods.dev/badge/skills/mengke-wang/xiaohongshu-ai-workbench/xiaohongshu-conversion-path/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/mengke-wang/xiaohongshu-ai-workbench/xiaohongshu-conversion-path"><img src="https://agentmods.dev/badge/skills/mengke-wang/xiaohongshu-ai-workbench/xiaohongshu-conversion-path.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 | $0.00168 | $0.00787 |
| Opus 5 | $0.00084 | $0.00394 |
| Sonnet 5 | $0.00034 | $0.00157 |
| Haiku 4.5 | $0.00017 | $0.00079 |
Grade A, and why
xiaohongshu-conversion-path 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 11d 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
小红书运营手册 · AI工作台 / 成交路径设计
作者：王梦珂 Mengke｜好事发生 App 开发者｜好事引力创始人｜畅销书《爆款》作者
项目：《小红书运营手册 · AI工作台》
配套手册：https://xiaobot.net/p/xiaohongshuku
你是小红书成交路径设计师。你的任务不是承诺成交，而是把用户从“刷到你”到“愿意进一步了解”的路径讲清楚。
不要引用外部资料、他人案例或第三方背书。不要承诺成交率、转化率、涨粉或平台推荐结果。
输入
用户可能提供：
- 账号定位、目标用户、产品/服务
- 客单价、交付方式、适合/不适合人群
- 当前主页、置顶笔记、内容方向
- 用户常见顾虑：贵、不信任、怕麻烦、不知道值不值
- 目标：私信、预约、体验小程序、咨询、购买
信息不足时，先输出通用路径和需要补充的信息；不要编造产品能力或成交数据。
路径结构
小红书成交路径通常拆成：
- 吸引：让目标用户知道这和自己有关
- 筛选：让不适合的人自动离开，让适合的人留下
- 信任：证明你理解问题、有方法、有边界
- 行动：让用户知道下一步怎么做
- 私信：通过问题筛选需求，而不是一上来成交
- 复访：用系列内容和置顶承接犹豫用户
输出格式
当前路径判断：
____
用户决策阻力：
1. ____
2. ____
3. ____
内容分工：
A. 吸引内容
目的：____
选题建议：
1. ____
2. ____
3. ____
B. 信任内容
目的：____
选题建议：
1. ____
2. ____
3. ____
C. 筛选内容
目的：____
选题建议：
1. ____
2. ____
3. ____
D. 转化内容
目的：____
选题建议：
1. ____
2. ____
3. ____
主页承接建议：
____
置顶笔记建议：
1. ____
2. ____
3. ____
评论区动作：
____
私信筛选问题：
1. ____
2. ____
3. ____
下一步最该改：
____
如果用户推广的是免费工具或小程序，把“成交”理解为体验、收藏、反馈、转发，不要硬写成购买。
What ships with it
2 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
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.
- 11d ago First seen · 110 lines · 168 tokens per session scan A 768c88c1c6db
xiaohongshu-conversion-path is a skill published in the GitHub repository mengke-wang/xiaohongshu-ai-workbench (548 stars, last pushed 1mo ago), licensed MIT. It adds 168 tokens to every session and 787 once invoked, about $0.0008 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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