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小红书评论策略生成器

作者 arraylee · GitHub ↗ · v1.0.0 · MIT-0
cross-platform ✓ 安全检测通过
199
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当前安装
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在 OpenClaw 中安装
/install xhs-comment-strategy
功能描述
小红书评论策略生成器 - 智能生成高互动率评论,帮助涨粉和建立人设。 基于真实运营经验,避免营销感,提升账号活跃度。 触发词:"生成评论"、"写小红书评论"、"评论互动
安全使用建议
This skill appears low-risk: the Python script runs locally, does not call external services, and requests no credentials. Two things to consider before installing or using it: (1) Functionality mismatch — the README promises personalized comments based on note content, but the script mostly emits static template text with placeholders; expect limited real personalization unless the code is extended. (2) Platform policy and spam risk — automated or repetitive commenting at scale can violate XiaoHongShu rules and lead to account penalties; avoid mass automation and review generated comments for appropriateness and safety before posting. If you need genuine content-aware generation, request or review an updated implementation that actually analyzes the note text rather than using static placeholders.
功能分析
Type: OpenClaw Skill Name: xhs-comment-strategy Version: 1.0.0 The skill is a straightforward tool for generating Xiaohongshu (XHS) social media comments using predefined templates. The Python script (scripts/comment_generator.py) contains no network, file system, or sensitive data access, and the instructions in SKILL.md are aligned with the stated purpose without any malicious prompt injection or hidden commands.
能力评估
Purpose & Capability
The skill's stated purpose is to generate personalized, high-engagement comments based on note content. The included Python script runs locally, requires no credentials, and only fills static template placeholders — it does not actually parse or use the pasted note content to generate deeply tailored comments. This is likely an implementation shortcoming (over-claiming capability) rather than malicious behavior.
Instruction Scope
SKILL.md tells the agent to accept/paste note content and generate comments. The instructions do not ask the agent to read unrelated files, environment variables, or send data to external endpoints. They stay within the stated scope of producing comments.
Install Mechanism
No install spec; this is an instruction-only skill with a small local script. Nothing is downloaded or written to disk by an installer, and no unusual package sources are used.
Credentials
No environment variables, credentials, or config paths are requested. The skill does not require or access any secrets or external service tokens.
Persistence & Privilege
Skill is not configured with always:true and does not request elevated persistence or modify other skills. Autonomous invocation is allowed by default (normal) but the skill itself does not request extra privileges.
如何使用
  1. 确保已安装 OpenClaw(本地或 Docker 部署)
  2. 在对话框中输入安装命令:/install xhs-comment-strategy
  3. 安装完成后,直接呼叫该 Skill 的名称或使用 /xhs-comment-strategy 触发
  4. 根据 Skill 的参数说明提供必要输入,即可获得结构化输出
版本历史
v1.0.0
首次发布:智能生成高互动率评论,帮助涨粉
元数据
Slug xhs-comment-strategy
版本 1.0.0
许可证 MIT-0
累计安装 0
当前安装数 0
历史版本数 1
常见问题

小红书评论策略生成器 是什么?

小红书评论策略生成器 - 智能生成高互动率评论,帮助涨粉和建立人设。 基于真实运营经验,避免营销感,提升账号活跃度。 触发词:"生成评论"、"写小红书评论"、"评论互动. 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件,目前累计下载 199 次。

如何安装 小红书评论策略生成器?

在 OpenClaw 或 Claude Code 对话框中运行命令「/install xhs-comment-strategy」即可一键安装,无需额外配置。

小红书评论策略生成器 是免费的吗?

是的,小红书评论策略生成器 完全免费,采用 MIT-0 许可证,可自由下载、安装和使用。

小红书评论策略生成器 支持哪些平台?

小红书评论策略生成器 跨平台运行,可在任意部署了 OpenClaw / Claude Code 的环境中使用(cross-platform)。

谁开发了 小红书评论策略生成器?

由 arraylee(@arraylee)开发并维护,当前版本 v1.0.0。

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