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 autoclaw-cc/xiaohongshu-mcp-skills --skill xhs-profilegit clone --depth 1 https://github.com/autoclaw-cc/xiaohongshu-mcp-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/autoclaw-cc/xiaohongshu-mcp-skills/xhs-profile)<a href="https://agentmods.dev/skills/autoclaw-cc/xiaohongshu-mcp-skills/xhs-profile"><img src="https://agentmods.dev/badge/skills/autoclaw-cc/xiaohongshu-mcp-skills/xhs-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/autoclaw-cc/xiaohongshu-mcp-skills/xhs-profile"><img src="https://agentmods.dev/badge/skills/autoclaw-cc/xiaohongshu-mcp-skills/xhs-profile.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 | $0.00049 | $0.00224 |
| Opus 5.5 | $0.00020 | $0.00090 |
| Sonnet 5.5 | $0.00010 | $0.00045 |
| Haiku 4.5 | $0.00005 | $0.00022 |
Grade A, and why
xhs-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 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
执行流程
1. 获取用户信息
调用 user_profile:
user_id(string,必填)— 用户 ID(来自笔记详情或搜索结果)xsec_token(string,必填)
2. 展示结果
- 基本信息:昵称、头像、简介、性别、地区
- 数据:粉丝数、关注数、获赞与收藏数
- 最近发布的笔记列表(含 feed_id 和 xsec_token)
提示用户可以查看某条笔记详情或进行互动。
失败处理
| 场景 | 处理 |
|---|---|
| 未登录 | 引导使用 xhs-login |
| 用户不存在 | 告知用户该主页无法访问 |
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 · 30 lines · 49 tokens per session scan A 9031fa1cf167
xhs-profile is a skill published in the GitHub repository autoclaw-cc/xiaohongshu-mcp-skills (277 stars, last pushed 8mo ago), licensed MIT. It adds 49 tokens to every session and 224 once invoked, about $0.0002 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 2026-08-30.
xhs-profile compared with skills from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| xhs-profileautoclaw-cc/xiaohongshu-mcp-skills | Skill | 277 | 8mo ago | MIT | A | 49 | Claude Code, Codex |
| imagegenopenai/codex | Skill | 133k | yesterday | Apache-2.0 | A | 113 | Codex |
| playwright-climicrosoft/playwright | Skill | 99k | yesterday | Apache-2.0 | A | 19 | Claude Code |
| local-ai-agentsmicrosoft/ai-agents-for-beginners | Skill | 79k | 4d ago | MIT | A | 200 | Claude Code, Codex |
| systematic-debuggingobra/superpowers | Skill | 313k | 3d ago | MIT | A | 21 | Claude Code |
| next-cache-components-adoptionvercel/next.js | Skill | 143k | yesterday | MIT | A | 95 | Claude Code |
| next-partial-prefetching-adoptionvercel/next.js | Skill | 143k | yesterday | MIT | A | 103 | Claude Code |