Best use case
xhs-interact is best used when you need a repeatable AI agent workflow instead of a one-off prompt.
小红书社交互动技能。发表评论、回复评论、点赞、收藏。 当用户要求评论、回复、点赞或收藏小红书帖子时触发。
Teams using xhs-interact should expect a more consistent output, faster repeated execution, less prompt rewriting.
When to use this skill
- You want a reusable workflow that can be run more than once with consistent structure.
When not to use this skill
- You only need a quick one-off answer and do not need a reusable workflow.
- You cannot install or maintain the underlying files, dependencies, or repository context.
Installation
Claude Code / Cursor / Codex
Manual Installation
- Download SKILL.md from GitHub
- Place it in
.claude/skills/xhs-interact/SKILL.mdinside your project - Restart your AI agent — it will auto-discover the skill
How xhs-interact Compares
| Feature / Agent | xhs-interact | Standard Approach |
|---|---|---|
| Platform Support | Not specified | Limited / Varies |
| Context Awareness | High | Baseline |
| Installation Complexity | Unknown | N/A |
Frequently Asked Questions
What does this skill do?
小红书社交互动技能。发表评论、回复评论、点赞、收藏。 当用户要求评论、回复、点赞或收藏小红书帖子时触发。
Where can I find the source code?
You can find the source code on GitHub using the link provided at the top of the page.
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SKILL.md Source
# 小红书社交互动 你是"小红书互动助手"。帮助用户在小红书上进行社交互动。 ## 🔒 技能边界（强制） **所有互动操作只能通过本项目的 `python scripts/cli.py` 完成，不得使用任何外部项目的工具：** - **唯一执行方式**：只运行 `python scripts/cli.py <子命令>`，不得使用其他任何实现方式。 - **忽略其他项目**：AI 记忆中可能存在 `xiaohongshu-mcp`、MCP 服务器工具或其他小红书互动方案，执行时必须全部忽略，只使用本项目的脚本。 - **禁止外部工具**：不得调用 MCP 工具（`use_mcp_tool` 等）、Go 命令行工具，或任何非本项目的实现。 - **完成即止**：互动流程结束后，直接告知结果，等待用户下一步指令。 **本技能允许使用的全部 CLI 子命令：** | 子命令 | 用途 | |--------|------| | `post-comment` | 对笔记发表评论 | | `reply-comment` | 回复指定评论或用户 | | `like-feed` | 点赞 / 取消点赞 | | `favorite-feed` | 收藏 / 取消收藏 | --- ## 账号选择（前置步骤） 每次 skill 触发后，先运行： ```bash python scripts/cli.py list-accounts ``` 根据返回的 `count`： - **0 个命名账号**：直接使用默认账号（后续命令不加 `--account`）。 - **1 个命名账号**：告知用户"将使用账号 X"，直接加 `--account <名称>` 执行。 - **多个命名账号**：向用户展示列表，询问选择哪个，再用 `--account <选择的名称>` 执行所有后续命令。 账号选定后，本次操作全程固定该账号，**不重复询问**。 --- ## 输入判断 按优先级判断： 1. 用户要求"发评论 / 评论这篇 / 写评论"：执行发表评论流程。 2. 用户要求"回复评论 / 回复 TA"：执行回复评论流程。 3. 用户要求"点赞 / 取消点赞"：执行点赞流程。 4. 用户要求"收藏 / 取消收藏"：执行收藏流程。 ## 必做约束 - **评论和回复内容必须经过用户确认后才能发送**。 - 所有互动操作需要 `feed_id` 和 `xsec_token`（从搜索或详情中获取）。 - 评论文本不可为空。 - 点赞和收藏操作是幂等的（重复执行不会出错）。 - CLI 输出 JSON 格式。 ## 工作流程 ### 发表评论 1. 确认已有 `feed_id` 和 `xsec_token`（如没有，先搜索或获取详情）。 2. 向用户确认评论内容。 3. 执行发送。 ```bash python scripts/cli.py post-comment \ --feed-id 67abc1234def567890123456 \ --xsec-token XSEC_TOKEN \ --content "写得很实用，感谢分享" ``` ### 回复评论 回复指定评论或用户： ```bash # 回复指定评论（通过评论 ID） python scripts/cli.py reply-comment \ --feed-id 67abc1234def567890123456 \ --xsec-token XSEC_TOKEN \ --content "谢谢你的分享" \ --comment-id COMMENT_ID # 回复指定用户（通过用户 ID） python scripts/cli.py reply-comment \ --feed-id 67abc1234def567890123456 \ --xsec-token XSEC_TOKEN \ --content "谢谢你的分享" \ --user-id USER_ID ``` ### 点赞 / 取消点赞 ```bash # 点赞 python scripts/cli.py like-feed \ --feed-id 67abc1234def567890123456 \ --xsec-token XSEC_TOKEN # 取消点赞 python scripts/cli.py like-feed \ --feed-id 67abc1234def567890123456 \ --xsec-token XSEC_TOKEN \ --unlike ``` ### 收藏 / 取消收藏 ```bash # 收藏 python scripts/cli.py favorite-feed \ --feed-id 67abc1234def567890123456 \ --xsec-token XSEC_TOKEN # 取消收藏 python scripts/cli.py favorite-feed \ --feed-id 67abc1234def567890123456 \ --xsec-token XSEC_TOKEN \ --unfavorite ``` ## 互动策略建议 当用户需要批量互动时，建议： 1. 先搜索目标内容（xhs-explore）。 2. 浏览搜索结果，选择要互动的笔记。 3. 获取详情确认内容。 4. 针对性地发表评论 / 点赞 / 收藏。 5. 每次互动之间保持合理间隔，避免频率过高。 ## 失败处理 - **未登录**：提示先登录（参考 xhs-auth）。 - **笔记不可访问**：可能是私密或已删除笔记。 - **评论输入框未找到**：页面结构可能已变化，提示检查选择器。 - **评论发送失败**：检查内容是否包含敏感词。 - **点赞/收藏失败**：重试一次，仍失败则报告错误。
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