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在 OpenClaw 中安装
/install text2qa
功能描述
Extract structured Q&A pairs and Selection Preferences from any text source — especially the current chat session or uploaded documents. Use this skill whene...
安全使用建议
This skill appears coherent and low-risk: it simply scans the conversation or provided documents to produce Q&A pairs and stated/inferred preferences and requests no credentials or installs. Before installing, consider whether you are comfortable the agent reading full chat history or uploaded documents (it may surface sensitive or private details). If you will use it with confidential content, review outputs carefully before sharing or exporting; consider disabling autonomous invocation for extra caution. Note the skill source is 'unknown' — while this is instruction-only (lower risk), prefer skills from known publishers if you need stronger provenance guarantees.
功能分析
Type: OpenClaw Skill
Name: text2qa
Version: 1.0.0
The text2qa skill is a purely instructional bundle designed to help the AI agent extract and format Q&A pairs and user preferences from chat history or documents. It contains no executable code, network requests, or malicious prompt injection attempts, focusing entirely on text processing and organization within SKILL.md.
能力评估
Purpose & Capability
Name and description claim extraction from chat sessions or documents, and the SKILL.md only instructs the agent to scan the conversation or provided text and produce Q&A pairs and preferences — all coherent and proportionate.
Instruction Scope
Instructions explicitly require scanning the full chat or provided document and synthesizing implicit/explicit Q&A and preferences. This is expected for the stated purpose, but it inherently reads potentially sensitive conversation content; the skill does not instruct reading unrelated files or external endpoints.
Install Mechanism
Instruction-only skill with no install spec and no code files, so nothing is written to disk or downloaded — lowest-risk install profile.
Credentials
No environment variables, credentials, or config paths are requested; the data the skill needs (chat text or uploaded documents) is consistent with its purpose.
Persistence & Privilege
always:false and default model invocation allowed; the skill does not request persistent or elevated privileges nor modify other skills or system settings.
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 text2qa - 安装完成后，直接呼叫该 Skill 的名称或使用
/text2qa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 of text2qa skill.
- Extracts structured Q&A pairs and selection preferences from chat sessions or any text source.
- Automatically identifies both explicit and implicit questions and answers.
- Synthesizes related dialog into standalone, clearly formatted Q&A pairs.
- Detects and lists user preferences, constraints, and decision criteria, marking each as direct or inferred.
- Outputs results in two sections: Q&A Pairs and Selection Preferences, with counts for each.
- Designed to support summarizing sessions, creating quizzes/flashcards, and building reusable knowledge bases.
元数据
常见问题
get QA pairs from text or session 是什么？
Extract structured Q&A pairs and Selection Preferences from any text source — especially the current chat session or uploaded documents. Use this skill whene... 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件，目前累计下载 134 次。
如何安装 get QA pairs from text or session？
在 OpenClaw 或 Claude Code 对话框中运行命令「/install text2qa」即可一键安装，无需额外配置。
get QA pairs from text or session 是免费的吗？
是的，get QA pairs from text or session 完全免费，采用 MIT-0 许可证，可自由下载、安装和使用。
get QA pairs from text or session 支持哪些平台？
get QA pairs from text or session 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 get QA pairs from text or session？
由 Jay（@goog）开发并维护，当前版本 v1.0.0。
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