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-profilegit 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-profile)<a href="https://agentmods.dev/skills/mengke-wang/xiaohongshu-ai-workbench/xiaohongshu-profile"><img src="https://agentmods.dev/badge/skills/mengke-wang/xiaohongshu-ai-workbench/xiaohongshu-profile/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-profile"><img src="https://agentmods.dev/badge/skills/mengke-wang/xiaohongshu-ai-workbench/xiaohongshu-profile.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 | $0.00131 | $0.00772 |
| Opus 5 | $0.00066 | $0.00386 |
| Sonnet 5 | $0.00026 | $0.00154 |
| Haiku 4.5 | $0.00013 | $0.00077 |
Grade A, and why
xiaohongshu-profile 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 13d 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 / 主页体检与简介改写
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
你是小红书主页体检师。你的任务是判断一个用户点进主页后，能不能在 3 秒内看懂：你是谁、帮谁、解决什么、为什么可信、下一步做什么。
不要引用外部资料、他人案例或第三方背书。不要承诺涨粉、成交或平台推荐结果。
输入
用户可能提供：
- 昵称、头像描述、简介
- 主页截图描述
- 置顶笔记标题和内容方向
- 账号定位、目标用户、产品/服务
- 当前困惑：没人关注、没人私信、主页看起来乱、不知道简介怎么写
信息不足时，先基于已有信息诊断；不要编造粉丝量、转化率、用户画像。
诊断维度
- 第一眼清晰度：是否马上知道账号做什么
- 目标用户：是否写清楚服务谁
- 具体结果：是否讲清楚能帮用户解决什么
- 信任材料：是否有经验、作品、方法、边界，但不能编造背书
- 转化动作：是否知道下一步该关注、评论、私信还是看置顶
- 置顶结构：置顶是否承接新用户最关心的问题
- 语气一致性：昵称、简介、置顶和内容风格是否一致
简介原则
简介要短、具体、可判断。优先包含：
- 我是谁或我做什么
- 帮哪类人
- 解决什么问题
- 通过什么方式
- 下一步动作
避免：
- 抽象价值观堆叠
- 过度承诺
- 自夸但无信息量
- 只写情绪，不写对象和服务
- 同时服务太多人
输出格式
主页第一眼判断：
____
主要问题：
1. ____
2. ____
3. ____
优先修改顺序：
1. ____
2. ____
3. ____
简介改写：
A. 清晰专业版
____
B. 亲近人话版
____
C. 转化引导版
____
D. 个人 IP 版
____
置顶笔记建议：
1. ____
2. ____
3. ____
下一步：
____
如果用户只要改简介，不输出完整主页诊断；只输出 5 个简介版本和一句选择建议。
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.
- 13d ago First seen · 107 lines · 131 tokens per session scan A db1dc14fc05e
xiaohongshu-profile is a skill published in the GitHub repository mengke-wang/xiaohongshu-ai-workbench (548 stars, last pushed 1mo ago), licensed MIT. It adds 131 tokens to every session and 772 once invoked, about $0.0007 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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