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在 OpenClaw 中安装
/install master-teacher
功能描述
Systematic teaching skill for AI agents. Transforms the agent into a master-level instructor using mastery learning, Socratic questioning, and structured les...
安全使用建议
This skill appears to be what it claims: a local course-authoring and tracking helper. Before installing, consider: (1) review the repository owner/source if you plan to clone from GitHub; the packaged scripts are small and readable but verify provenance when using an external repo URL; (2) the skill will create and modify files in whatever workspace/course directory you point it at (progress/state.json, tracking.md, lesson files) — run it in an isolated folder if you don't want those files mixed with other work; (3) SKILL.md advises checking USER.md / MEMORY.md for profiling — review those files for sensitive personal data you don't want the skill to read or include; (4) the skill's prep phase expects the agent or user to fetch external resources (articles/repos/media) — ensure your agent's browsing/IO permissions and the origin of fetched materials are acceptable; (5) no credentials or system-level access are requested. If any of the above concerns you, inspect the scripts (they are included) and test in a sandboxed workspace before regular use.
功能分析
Type: OpenClaw Skill
Name: master-teacher
Version: 2.8.0
The 'master-teacher' skill is a well-structured framework designed to turn an AI agent into a systematic instructor. It uses a series of Python scripts (e.g., scripts/init_course.py, scripts/track_progress.py) to manage course state and progress tracking via local JSON and Markdown files. The instructions in SKILL.md define a rigorous pedagogical process including research, student profiling, and Socratic questioning, with no evidence of malicious intent, data exfiltration, or unauthorized system access.
能力评估
Purpose & Capability
Name/description match the provided scripts and templates. The included Python scripts only create/read/write course files (README, lessons, progress/state.json, tracking.md) and implement expected course lifecycle operations; nothing in the manifest or scripts asks for unrelated capabilities or credentials.
Instruction Scope
SKILL.md instructs the agent to 'search for' external materials and clone/save repositories into the course prep directory. That behavior is consistent with researching/sourcing content for a course, but it implies the agent (or user) will fetch and store arbitrary external content and may read USER.md/MEMORY.md for profiling. Users should be aware this can store third‑party content and may surface personal info from USER/MEMORY files.
Install Mechanism
There is no install spec in the package (instruction-only install), and all code files are present locally. README suggests cloning from GitHub if desired — that is optional and typical. No remote download/extract steps or unusual installers are present in the packaged files.
Credentials
The skill requires no environment variables, credentials, or special config paths. Scripts operate on a course directory provided at runtime and only read/write local files. This is proportionate to a teaching/progress-tracking skill.
Persistence & Privilege
always is false and the skill does not request system-wide privileges. Its persistent effect is writing course-related files in the workspace, which is expected behavior. It does not modify other skills or system agent configuration.
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 master-teacher - 安装完成后，直接呼叫该 Skill 的名称或使用
/master-teacher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
v2.8.0
v2.8: Add teaching principles #11 (state facts before comparing) and #12 (state facts before questioning)
v2.7.0
v2.7: Phase 2.5 transition guidance, quality checklist conditional checks, teaching principle #10 (never generate content during class), fix step script table
v2.6.0
v2.6: Phase 2.5 content authoring overhaul, flexible lesson structure (按需拆分), pre-generated multimedia, remove hardcoded constraints, overview.md blueprint, save-as-you-go, conditional step scripts, student interaction options, Phase 3 pre-check
v2.1.0
Bind scripts to phases: every Phase now says which script to call and when. Removed redundant markdown templates. Scripts are single source of truth for state.
v2.0.0
Major: extract deterministic operations into Python scripts (init_course, track_progress, show_progress, lesson_report, resume). Model handles teaching and judgment; scripts handle state management. Works reliably regardless of base model capability.
v1.6.0
Lesson report after each completion (score, strengths, weak points, key takeaway). Visual progress overview map — image when available, ASCII fallback. Seeing progress motivates.
v1.5.0
Intra-lesson progress tracking (exact breakpoint within a lesson), Phase 5 Resume with recall questions, spaced review at lessons 3/6/midpoint
v1.4.0
Unify language to English throughout SKILL.md — no more mixed Chinese/English
v1.3.0
Phase 0 is now a persistent long task: save materials to prep/, take structured notes, synthesize across multiple sessions
v1.2.0
Phase 0 now requires researching how others teach the topic before creating curriculum. Never 闭门造车.
v1.1.0
Add multimedia teaching materials: image diagrams, audio recaps, video walkthroughs when agent has generation capabilities
v1.0.0
Initial release: systematic teaching skill with mastery learning, Socratic questioning, progress tracking
元数据
常见问题
Master Teacher 是什么？
Systematic teaching skill for AI agents. Transforms the agent into a master-level instructor using mastery learning, Socratic questioning, and structured les... 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件，目前累计下载 146 次。
如何安装 Master Teacher？
在 OpenClaw 或 Claude Code 对话框中运行命令「/install master-teacher」即可一键安装，无需额外配置。
Master Teacher 是免费的吗？
是的，Master Teacher 完全免费，采用 MIT-0 许可证，可自由下载、安装和使用。
Master Teacher 支持哪些平台？
Master Teacher 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 Master Teacher？
由 jacky-wzj（@jacky-wzj）开发并维护，当前版本 v2.8.0。
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