← 返回 Skills 市场
fangwei-frank

Training Quiz

作者 fangwei-frank · GitHub ↗ · v1.0.0 · MIT-0
cross-platform ✓ 安全检测通过
193
总下载
0
收藏
0
当前安装
1
版本数
在 OpenClaw 中安装
/install training-quiz
功能描述
Interactive product knowledge training and quiz system for retail staff. Tests employees on product specs, store policies, sales techniques, and FAQs through...
安全使用建议
This skill appears to do exactly what it claims: generate quizzes from your product/policy/FAQ knowledge base and track progress in agent memory. Before installing, confirm (1) the agent will supply the intended KB and staff config (knowledge_base.json) and that no sensitive secrets are stored there, (2) you are comfortable with per-employee progress being stored in agent memory and how manager reports are emitted, and (3) any automated reporting to managers uses approved channels. If you need logs or exported results, verify output destinations and access controls. If you want stricter privacy, require explicit consent before storing staff IDs or reporting performance.
能力评估
Purpose & Capability
Name/description match the implementation: SKILL.md + question templates + a question-generation script that reads a provided knowledge_base.json and emits quizzes. There are no unrelated required binaries, credentials, or config paths.
Instruction Scope
Instructions operate on the agent's knowledge base (products[], policy_entries[], faqs[]) and agent memory for per-employee progress. This is coherent for a training quiz but assumes the agent supplies the KB and staff config; it also records staff_id and progress in memory (personal data) — consider privacy/ACLs for that memory and any manager-reporting flows.
Install Mechanism
No install spec; this is an instruction-only skill with a small helper script included. The Python script is self-contained, reads local JSON, and does not download or execute remote code.
Credentials
The skill requests no environment variables or credentials. It expects access to the agent's knowledge base and memory (reasonable). Ensure the KB does not contain secrets and that the agent is authorized to access the staff records it will read/write.
Persistence & Privilege
always is false and disable-model-invocation is default; the skill stores progress under its own agent-memory namespace (training_progress.<staff_id>) and does not modify other skills or system-wide settings.
如何使用
  1. 确保已安装 OpenClaw(本地或 Docker 部署)
  2. 在对话框中输入安装命令:/install training-quiz
  3. 安装完成后,直接呼叫该 Skill 的名称或使用 /training-quiz 触发
  4. 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
first release
元数据
Slug training-quiz
版本 1.0.0
许可证 MIT-0
累计安装 0
当前安装数 0
历史版本数 1
常见问题

Training Quiz 是什么?

Interactive product knowledge training and quiz system for retail staff. Tests employees on product specs, store policies, sales techniques, and FAQs through... 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件,目前累计下载 193 次。

如何安装 Training Quiz?

在 OpenClaw 或 Claude Code 对话框中运行命令「/install training-quiz」即可一键安装,无需额外配置。

Training Quiz 是免费的吗?

是的,Training Quiz 完全免费,采用 MIT-0 许可证,可自由下载、安装和使用。

Training Quiz 支持哪些平台?

Training Quiz 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 Training Quiz?

由 fangwei-frank(@fangwei-frank)开发并维护,当前版本 v1.0.0。

💬 留言讨论