小红书内容生成器
v1.0.1小红书爆款内容生成器 - 自动创作标题、正文、标签，基于真实运营经验优化。 适用于：育儿、知识分享、生活方式等垂直领域。 触发词："生成小红书内容"、"写小红书文案"、"爆款标题
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MIT-0
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LicenseMIT-0 · Free to use, modify, and redistribute. No attribution required.
Security Scan
OpenClaw
Benign
high confidencePurpose & Capability
Name/description match the included files: SKILL.md documents content-generation behavior and best practices, and scripts/xhs_generator.py implements local title/body/tag generation from templates. There are no unrelated requirements (no cloud or system credentials).
Instruction Scope
Runtime instructions stay on-topic: examples, prompt templates, publishing best-practices, and model-routing guidance. They do not instruct the agent to read arbitrary files, access system configs, or transmit data to unexpected endpoints. A minor note: SKILL.md mentions optional private-data integration as a paid service, but that is a business offering and not part of the runtime instructions or required behavior.
Install Mechanism
No install spec (instruction-only) and included Python script is small, readable, and runs locally. Nothing is downloaded from external URLs or installed automatically; risk from install mechanism is minimal.
Credentials
The skill declares no required environment variables, credentials, or config paths. SKILL.md mentions model routing and a line 'Kimi K2.5 (自有Key)' as informational—this is not enforced by the skill and would only be relevant if the author offered a variant requiring a provider key. No disproportionate secret or credential requests are present.
Persistence & Privilege
always is false and there is no code that modifies agent/system configuration or other skills. The skill is user-invocable and does not request persistent privileges.
Assessment
This skill appears internally consistent and low-risk: it generates Xiaohongshu-style titles, bodies, and tags using a local Python template script and guidance in SKILL.md. Before installing or using it: 1) Do not paste sensitive personal data or private user lists into prompts — the skill is designed for public content generation and the author offers (separately) paid private-data integrations which would require caution. 2) If you or the author later enable external model providers (the README mentions '自有Key' for a model), confirm which provider keys are requested and only provide credentials you trust. 3) Review any modifications or added code before running, and run the included script locally in a sandbox if you want to inspect behavior. 4) Be aware of platform posting policies and avoid automated mass-posting; SKILL.md already recommends manual review before publish.Like a lobster shell, security has layers — review code before you run it.
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License
MIT-0
Free to use, modify, and redistribute. No attribution required.