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知乎高赞回答生成器
by
jessabuivolova-sketch
· GitHub ↗
· v1.0.0
· MIT-0
144
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0
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0
Active Installs
1
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Install in OpenClaw
/install zhihu-top-answer-generator
Description
自动生成结构清晰、风格多样且具爆款潜力的知乎高赞回答,支持冷启动、争议与专业深度三种模式。
Usage Guidance
This skill appears safe from a secrets/exfiltration perspective: it doesn't request credentials or make network calls. However, its documentation promises search-volume and competition analysis that the code does not perform — expect a template/random-based generator rather than data-driven SEO suggestions. Before relying on it for production or paid use, test outputs for quality and accuracy, confirm whether the developer planned to add analytics integrations (and what credentials/APIs that would require), and be cautious using the generated content for controversial/regulated topics (it can surface provocative/claims-based language). If you need real search/competition data, look for or request an implementation that integrates a known analytics API and documents required credentials.
Capability Analysis
Type: OpenClaw Skill
Name: zhihu-top-answer-generator
Version: 1.0.0
The skill bundle is a template-based content generator for Zhihu answers. The Python code (zhihu_answer_generator.py) uses hardcoded templates and random selection to simulate answer generation without any external network calls, file system access, or sensitive data handling. The SKILL.md file contains standard instructions for the AI agent and lacks any prompt injection or malicious directives.
Capability Assessment
Purpose & Capability
Name/description (生成高赞知乎回答) match the delivered functionality (generate hooks, sections, tags, publish-time suggestions). However, SKILL.md claims the skill will "分析问题的搜索量和竞争程度" (analyze search volume and competition) — a feature that would normally require external data/APIs and credentials; the included Python code does not perform any such analysis. This is a mismatch between claimed capability and actual implementation.
Instruction Scope
SKILL.md outlines a clear generation workflow and input/output schema and does not instruct the agent to read host files, environment variables, or call external endpoints. But the documented step to analyze search/competition is vague and not implemented, so runtime behavior will be simpler (template/random-based) than the instructions imply.
Install Mechanism
Instruction-only/no install spec and a single small Python file; nothing is downloaded or installed during setup. This is low risk from installation mechanics.
Credentials
The skill declares no required environment variables, no credentials, and the code does not access external endpoints or local sensitive paths. Requested access is proportional (none).
Persistence & Privilege
Skill is not always-enabled and has no install-time behavior that modifies agent configuration or other skills. It does not request elevated/ongoing privileges.
How to Use
- Make sure OpenClaw is installed (local or Docker)
- Run the install command in chat:
/install zhihu-top-answer-generator - After installation, invoke the skill by name or use
/zhihu-top-answer-generator - Provide required inputs per the skill's parameter spec and get structured output
Version History
v1.0.0
Initial release
Metadata
Frequently Asked Questions
What is 知乎高赞回答生成器?
自动生成结构清晰、风格多样且具爆款潜力的知乎高赞回答,支持冷启动、争议与专业深度三种模式。 It is an AI Agent Skill for Claude Code / OpenClaw, with 144 downloads so far.
How do I install 知乎高赞回答生成器?
Run "/install zhihu-top-answer-generator" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.
Is 知乎高赞回答生成器 free?
Yes, 知乎高赞回答生成器 is completely free, licensed under MIT-0. You can download, install and use it at no cost.
Which platforms does 知乎高赞回答生成器 support?
知乎高赞回答生成器 is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).
Who created 知乎高赞回答生成器?
It is built and maintained by jessabuivolova-sketch (@jessabuivolova-sketch); the current version is v1.0.0.
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