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XHS Viral Content Factory

作者 less1001 · GitHub ↗ · v1.1.3 · MIT-0
cross-platform ⚠ suspicious
536
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1
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0
当前安装
4
版本数
在 OpenClaw 中安装
/install xhs-viral-factory
功能描述
小红书爆款图文全自动生产工厂。支持从 PDF、Markdown 或文件夹提取内容,自动匹配治愈、干货、反直觉、视觉流 4 大模式。
安全使用建议
What to consider before installing: - Data exfiltration risk: The script sends the contents of whatever files/folders you point it to a remote LLM. Do NOT pass folders that contain secrets, config files, SSH keys, environment files, or other sensitive data. - Trusted provider: Ensure your LLM_API_KEY is for a provider you trust and understand the provider's data retention/privacy policy. If you must protect data, run on a provider that guarantees no retention or use a local/self-hosted model. - Inspect the files: Review generate_xhs.py and SKILL.md yourself (or have someone you trust do it). The pre-scan flagged hidden unicode control characters in SKILL.md — open the file in a hex-capable editor or use a control-character filter to confirm nothing malicious is hidden. - Run in isolation: If you try it, run in a disposable environment/container and with an API key that has limited scope or billing limits, not a high-privilege production key. - Usage hygiene: Do not export your main system-wide API key on shared machines. Avoid pointing the tool at system-level directories (e.g., /etc, ~, or project roots) — only point it to curated content you intend to send. If you are uncomfortable with these risks, do not install. If you proceed, consider modifying the script to explicitly whitelist file types/paths and to prompt for confirmation before sending any content.
功能分析
Type: OpenClaw Skill Name: xhs-viral-factory Version: 1.1.3 The skill is a legitimate tool designed to automate the creation of Xiaohongshu (XHS) social media posts by processing local text/markdown files through a user-configured LLM API (e.g., OpenAI or DeepSeek). The core logic in `scripts/generate_xhs.py` correctly handles environment variables for secrets, implements reasonable file-reading constraints, and includes a transparent security disclosure regarding data transmission to the chosen LLM provider. No evidence of data exfiltration, malicious execution, or harmful prompt injection was found.
能力评估
Purpose & Capability
The name/description (generate XHS viral posts from PDF/Markdown/folders) aligns with the included script and declared LLM_API_KEY requirement. The script and prompt pattern files are consistent with the stated goal. Minor inconsistency: SKILL.md documents optional env vars (LLM_BASE_URL, LLM_MODEL) that are not listed as required in metadata — this is harmless but worth noting.
Instruction Scope
The main script will read arbitrary files and directory trees you point it at and include that content verbatim in the LLM prompt payload. If a user passes sensitive paths (configs, SSH keys, system files, or any secret-containing files), those will be transmitted to the configured remote model provider. The SKILL.md and SOUL.md also include persona/prompt material; a pre-scan flagged unicode-control-chars in the SKILL.md, which can indicate hidden characters used for prompt manipulation. There are no safeguards or warnings preventing users from passing sensitive paths.
Install Mechanism
This is effectively instruction-only with a small Python script. The SKILL.md metadata lists a pip install for the 'requests' package — proportionate to the task. No remote binaries or obscure download URLs are used. Registry metadata stated "no install spec," but SKILL.md includes an install entry; this mismatch is a minor inconsistency.
Credentials
The skill requests a single primary credential (LLM_API_KEY), which matches its purpose of calling a remote LLM. It also optionally respects LLM_BASE_URL and LLM_MODEL environment variables in practice. No unrelated credentials or system config paths are requested.
Persistence & Privilege
The skill does not request permanent/always-on inclusion, does not modify other skills or global agent settings, and runs locally when invoked. No elevated platform privileges are requested.
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-viral-factory
  3. 安装完成后,直接呼叫该 Skill 的名称或使用 /xhs-viral-factory 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
v1.1.3
- Updated documentation to full Chinese language with richer details and formatting. - Expanded feature descriptions, highlighting four viral content modes with icons and explanatory text. - Improved security and usage instructions, adding clear, step-by-step guides. - Added author information and a call-to-action for user engagement. - No code changes in this release; documentation only.
v1.1.2
Version 1.1.1 Changelog: - No file changes detected in this update. - No new features, bug fixes, or documentation updates included.
v1.1.0
Version 1.1.0 introduces enhanced content generation, broader model compatibility, and simpler setup. - 支持自动优选“治愈、干货、反直觉、视觉流”4大爆款模式生成笔记 - 兼容 OpenAI、DeepSeek、Claude 等所有主流大模型(API可自定义) - 新增 requests 安装提示和 LLM 配置环境变量,简化部署流程 - 优化说明文档,面向人类和 AI 助手均有上手指南 - 更新描述和功能亮点,突出工业级内容生产及实战场景
v1.0.0
Initial release of xhs-viral-factory: - Automatically extracts key points from PDFs, Markdown, or folders to generate viral Xiaohongshu (XHS) posts. - Includes multiple built-in viral content templates (e.g., healing, knowledge sharing, counterintuitive). - Generates visual prompt suggestions for each post to aid image creation. - Tracks content history to avoid repetition and adapts direction for new posts. - Simple command-line workflow to generate posts from any knowledge base. 小红书爆款笔记工厂(初代) - 自动解析知识库、文档或网页,提取核心观点并生成小红书爆款文案 - 支持多种写作模板,如治愈系、干货分享、反直觉等 - 自动生成配图提示词,辅助图片创作 - 去重与历史内容管理,避免内容重复 - 提供详细的使用指南与工作流参考
元数据
Slug xhs-viral-factory
版本 1.1.3
许可证 MIT-0
累计安装 0
当前安装数 0
历史版本数 4
常见问题

XHS Viral Content Factory 是什么?

小红书爆款图文全自动生产工厂。支持从 PDF、Markdown 或文件夹提取内容,自动匹配治愈、干货、反直觉、视觉流 4 大模式。 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件,目前累计下载 536 次。

如何安装 XHS Viral Content Factory?

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

XHS Viral Content Factory 是免费的吗?

是的,XHS Viral Content Factory 完全免费,采用 MIT-0 许可证,可自由下载、安装和使用。

XHS Viral Content Factory 支持哪些平台?

XHS Viral Content Factory 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 XHS Viral Content Factory?

由 less1001(@less1001)开发并维护,当前版本 v1.1.3。

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