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-searchgit 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-search)<a href="https://agentmods.dev/skills/autoclaw-cc/xiaohongshu-mcp-skills/xhs-search"><img src="https://agentmods.dev/badge/skills/autoclaw-cc/xiaohongshu-mcp-skills/xhs-search/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-search"><img src="https://agentmods.dev/badge/skills/autoclaw-cc/xiaohongshu-mcp-skills/xhs-search.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 | $0.00076 | $0.00401 |
| Opus 5 | $0.00038 | $0.00200 |
| Sonnet 5 | $0.00015 | $0.00080 |
| Haiku 4.5 | $0.00008 | $0.00040 |
Grade A, and why
xhs-search 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 12d 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. 确认搜索条件
从用户输入中提取：
keyword（必填）— 搜索关键词filters（可选）— 筛选条件
2. 调用搜索
调用 search_feeds：
keyword（string，必填）filters（object，可选）：sort_by：综合 | 最新 | 最多点赞 | 最多评论 | 最多收藏note_type：不限 | 视频 | 图文publish_time：不限 | 一天内 | 一周内 | 半年内search_scope：不限 | 已看过 | 未看过 | 已关注location：不限 | 同城 | 附近
3. 展示结果
将搜索结果整理为列表展示，每条包含：
- 标题、作者
- 点赞数、评论数、收藏数
feed_id和xsec_token（后续操作需要）
提示用户可以：
- 查看某条笔记详情（使用 xhs-explore）
- 对笔记进行互动（使用 xhs-interact）
失败处理
| 场景 | 处理 |
|---|---|
| 未登录 | 引导使用 xhs-login 登录 |
| 无搜索结果 | 建议调整关键词或筛选条件 |
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.
- 12d ago First seen · 45 lines · 76 tokens per session scan A 3e7944039656
xhs-search is a skill published in the GitHub repository autoclaw-cc/xiaohongshu-mcp-skills (257 stars, last pushed 6mo ago), licensed MIT. It adds 76 tokens to every session and 401 once invoked, about $0.0004 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.
Other skills, from other repositories
systematic-debugging
Use when encountering any bug, test failure, or unexpected behavior, before proposing fixes.
local-ai-agents
Build local-first AI agents that run entirely on a developer workstation with Microsoft Foundry Local and Qwen function-calling models. Covers Small Language Models (SLMs), the OpenAI-compatible local endpoint, sandboxed local tools, local RAG with Chroma, local MCP servers, hybrid cloud/local routing, and the…
next-cache-components-adoption
Turn on Cache Components in a Next.js app and resolve the blocking routes it surfaces. Use when the user wants to enable, adopt, or migrate to Cache Components, flip the cacheComponents flag, work through a flood of blocking-prerender / instant validation errors, run the cache-components-instant-false codemod, or…
chat-pet-sprite-creation
Use when creating or changing VS Code chat pet sprite art, sprite sheets, state animations, eye treatments, Stable/Insiders variants, or pet transitions under src/vs/workbench/contrib/chat/browser/widget/media/chatPet.
cpu-profile-analysis
Analyze V8/Chrome CPU profiles (.cpuprofile) and DevTools trace files (Trace-.json). Use when: profiling performance, investigating slow functions, comparing code paths, finding bottlenecks, analyzing timeToRequest, understanding call trees from sampling profiler data, analyzing layout/paint/rendering, investigating…
insight-error-page
Write or audit an insight-kind error page for the Next.js dev overlay. Use when creating a new errors/ .mdx page, auditing an existing one, or checking that a page matches the framework fix cards. Covers page structure, title alignment, FixCard cards with Copy prompt button, code snippets, terminology verification…