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知乎高赞回答生成器
作者
jessabuivolova-sketch
· GitHub ↗
· v1.0.0
· MIT-0
144
总下载
0
收藏
0
当前安装
1
版本数
在 OpenClaw 中安装
/install zhihu-top-answer-generator
功能描述
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。
安全使用建议
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.
功能分析
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.
能力评估
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.
如何使用
- 确保已安装 OpenClaw(本地或 Docker 部署)
- 在对话框中输入安装命令:
/install zhihu-top-answer-generator - 安装完成后,直接呼叫该 Skill 的名称或使用
/zhihu-top-answer-generator触发 - 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
Initial release
元数据
常见问题
知乎高赞回答生成器 是什么?
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。 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件,目前累计下载 144 次。
如何安装 知乎高赞回答生成器?
在 OpenClaw 或 Claude Code 对话框中运行命令「/install zhihu-top-answer-generator」即可一键安装,无需额外配置。
知乎高赞回答生成器 是免费的吗?
是的,知乎高赞回答生成器 完全免费,采用 MIT-0 许可证,可自由下载、安装和使用。
知乎高赞回答生成器 支持哪些平台?
知乎高赞回答生成器 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 知乎高赞回答生成器?
由 jessabuivolova-sketch(@jessabuivolova-sketch)开发并维护,当前版本 v1.0.0。
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