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-interactgit 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-interact)<a href="https://agentmods.dev/skills/autoclaw-cc/xiaohongshu-mcp-skills/xhs-interact"><img src="https://agentmods.dev/badge/skills/autoclaw-cc/xiaohongshu-mcp-skills/xhs-interact/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-interact"><img src="https://agentmods.dev/badge/skills/autoclaw-cc/xiaohongshu-mcp-skills/xhs-interact.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 | $0.00065 | $0.00573 |
| Opus 5 | $0.00032 | $0.00287 |
| Sonnet 5 | $0.00013 | $0.00115 |
| Haiku 4.5 | $0.00006 | $0.00057 |
Grade A, and why
xhs-interact 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
输入判断
根据用户意图路由：
- 点赞/取消点赞 → 点赞流程
- 收藏/取消收藏 → 收藏流程
- 发表评论 → 评论流程
- 回复评论 → 回复流程
约束
- 评论和回复执行前展示内容让用户确认（评论以用户身份公开发表，无法撤回）
- 点赞和收藏可直接执行（操作可逆，MCP 服务有幂等处理）
- 所有操作都需要
feed_id+xsec_token（来自搜索或详情结果，编造会导致报错）
执行流程
点赞
调用 like_feed：
feed_id（string，必填）xsec_token（string，必填）unlike（bool，可选）— true 取消点赞，默认 false 点赞
已点赞时再点赞会自动跳过，反之同理。
收藏
调用 favorite_feed：
feed_id（string，必填）xsec_token（string，必填）unfavorite（bool，可选）— true 取消收藏，默认 false 收藏
已收藏时再收藏会自动跳过，反之同理。
发表评论
调用 post_comment_to_feed：
feed_id（string，必填）xsec_token（string，必填）content（string，必填）— 评论内容
发送前展示评论内容让用户确认。
回复评论
调用 reply_comment_in_feed：
feed_id（string，必填）xsec_token（string，必填）comment_id（string，可选）— 目标评论 IDuser_id（string，可选）— 目标评论作者 IDcontent（string，必填）— 回复内容
comment_id 和 user_id 至少提供一个。
发送前展示回复内容让用户确认。
失败处理
| 场景 | 处理 |
|---|---|
| 未登录 | 引导使用 xhs-login |
| 缺少 feed_id/xsec_token | 提示先搜索或浏览获取笔记信息 |
| 笔记不可评论 | 告知用户该笔记已关闭评论 |
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 · 71 lines · 65 tokens per session scan A e471683af8ab
xhs-interact is a skill published in the GitHub repository autoclaw-cc/xiaohongshu-mcp-skills (257 stars, last pushed 6mo ago), licensed MIT. It adds 65 tokens to every session and 573 once invoked, about $0.0003 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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