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小红书内容自动化套件
by
maomao52088
· GitHub ↗
· v1.0.0
· MIT-0
112
Downloads
0
Stars
0
Active Installs
1
Versions
Install in OpenClaw
/install xiaohongshu-content-automation8
Description
小红书内容自动化套件 - 爆款选题挖掘、文案生成、封面提示词、数据分析
Usage Guidance
This skill is a lightweight, instruction-only pack of templates and procedures for Xiaohongshu content creation and appears internally consistent. Before using: (1) optionally review the referenced GitHub repo to verify origin and check for updates; (2) test generated copy and image prompts in a safe draft account before posting (AI outputs may need editing and to comply with platform rules); (3) be cautious if a later/’full’ version requests API keys or installs — that would warrant a closer review. No credentials or installs are required by this version.
Capability Analysis
Type: OpenClaw Skill
Name: xiaohongshu-content-automation8
Version: 1.0.0
The skill bundle consists entirely of Markdown templates and metadata for Xiaohongshu content automation. It contains no executable code, no data exfiltration logic, and no malicious prompt injection instructions. The external link to GitHub (github.com/maomao52088/xiaohongshu-automation-skills) appears to be for promotional distribution of additional templates and does not exhibit suspicious behavior within the provided files (SKILL.md, _meta.json).
Capability Assessment
Purpose & Capability
The name/description promise (topic mining, copywriting templates, cover prompts, data-analysis guidance) matches the SKILL.md content. There are no requested credentials, binaries, or unrelated requirements that would contradict the stated purpose.
Instruction Scope
SKILL.md consists entirely of prompt templates, procedural steps, and examples. It does not instruct the agent to read system files, access environment variables, call unexpected endpoints, or exfiltrate data. References to Midjourney/DALL·E are limited to generating prompt text for images, which fits the cover-prompt feature.
Install Mechanism
No install spec and no code files — the skill is instruction-only. This minimizes on-disk risk and matches the declared manifest.
Credentials
The skill declares no required env vars, credentials, or config paths. Nothing in SKILL.md attempts to access secrets or unrelated services, so the requested environment access is minimal and proportionate.
Persistence & Privilege
always is false and the skill does not request system-wide changes or persistent privileges. It is user-invocable and may be called autonomously by the agent (the platform default), which is reasonable for a prompt/template skill.
How to Use
- Make sure OpenClaw is installed (local or Docker)
- Run the install command in chat:
/install xiaohongshu-content-automation8 - After installation, invoke the skill by name or use
/xiaohongshu-content-automation8 - Provide required inputs per the skill's parameter spec and get structured output
Version History
v1.0.0
- Initial release of xiaohongshu-content-automation toolkit.
- Automates Xiaohongshu content creation: hot topic mining, copywriting with 3 templates, cover prompt generation, and data analysis.
- Provides ready-to-use commands for topic selection, copywriting, cover prompts, and note data analysis.
- Includes practical workflow instructions, headline formulas, and writing templates.
- Links to the full version (with all 4 modules) available for free on GitHub.
Metadata
Frequently Asked Questions
What is 小红书内容自动化套件?
小红书内容自动化套件 - 爆款选题挖掘、文案生成、封面提示词、数据分析. It is an AI Agent Skill for Claude Code / OpenClaw, with 112 downloads so far.
How do I install 小红书内容自动化套件?
Run "/install xiaohongshu-content-automation8" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.
Is 小红书内容自动化套件 free?
Yes, 小红书内容自动化套件 is completely free, licensed under MIT-0. You can download, install and use it at no cost.
Which platforms does 小红书内容自动化套件 support?
小红书内容自动化套件 is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).
Who created 小红书内容自动化套件?
It is built and maintained by maomao52088 (@maomao52088); the current version is v1.0.0.
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