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OpenClaw Chinese Laoshi Ops
作者
Zakhar Pashkin
· GitHub ↗
· v1.0.13
· MIT-0
133
总下载
1
收藏
1
当前安装
5
版本数
在 OpenClaw 中安装
/install openclaw-agent-chinese-laoshi
功能描述
Use when studying or normalizing Chinese lesson transcript/subtitle inputs with bundled public lesson data, learner docs, local export bundles, and pilot-fir...
安全使用建议
This skill appears coherent and lower-risk, but you should still: 1) Confirm the skill source (the GitHub homepage in the manifest) if you trust origin and maintainer. 2) Before allowing any repository commands, follow the skill's rule to require the exact command and explicit confirmation. 3) If you choose to use the optional Drive sync, only provide a pre-authenticated local mount path via --drive-root and double-check that the mount is what you expect. 4) Glance through the omitted files (the 46 truncated files) for any unexpected external endpoints or instructions that call remote services before using the skill in production.
功能分析
Type: OpenClaw Skill
Name: openclaw-agent-chinese-laoshi
Version: 1.0.13
The skill bundle is a comprehensive educational package for a Chinese language tutor agent. It consists entirely of Markdown instructions, JSON lesson data, and system prompts, with no executable code or external dependencies. The instructions in SKILL.md and the various reference files (e.g., release-gates.md, pipeline.md) contain explicit safety constraints, such as forbidding the agent from searching for credentials, accessing unauthorized cloud storage, or executing commands without user confirmation. The content is strictly aligned with its stated purpose of lesson normalization and student roleplay, and it includes proactive measures to prevent data leakage or prompt injection against the underlying AI model.
能力标签
能力评估
Purpose & Capability
The skill's name/description (Chinese lesson normalization and study) matches the included assets and runtime instructions: many static course/roleplay/HSK JSON and Markdown files and guidance for operating on them. It does not request unrelated binaries, cloud credentials, or system paths.
Instruction Scope
SKILL.md narrowly defines runtime actions: operate on bundled course data, require explicit user confirmation before running any repo command, avoid reading credential stores, and only allow optional Drive sync when an explicit user-provided pre-authenticated --drive-root is supplied. Instructions do not ask the agent to exfiltrate data or access unrelated system resources.
Install Mechanism
No install spec or code files are present; the skill is instruction-only and uses static assets included in the bundle. No downloads, archives, or external package installs are declared.
Credentials
The skill declares no required environment variables, primary credential, or config paths. The runtime rules explicitly state it does not request API keys, Drive auth, or cloud transcription credentials — the requested environment access is proportional to the stated functionality.
Persistence & Privilege
Flags show always:false (not force-included) and model invocation disabled (skill is user-invocable only). The skill does not request persistent system changes or cross-skill config modifications.
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 openclaw-agent-chinese-laoshi - 安装完成后,直接呼叫该 Skill 的名称或使用
/openclaw-agent-chinese-laoshi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
v1.0.13
Publish system prompt packs and harden tutor correction, pacing, pinyin, and instruction-bleed rules.
v1.0.12
Add ChatGPT connector guidance for prompt lookup and lesson roleplay routing.
v1.0.11
Bundle sanitized lesson data, roleplay scenarios, and stricter publication gates.
v1.0.10
Add Drive-backed lesson assets and refresh managed export state.
v1.0.9
Move canonical publication to clean package history
元数据
常见问题
OpenClaw Chinese Laoshi Ops 是什么?
Use when studying or normalizing Chinese lesson transcript/subtitle inputs with bundled public lesson data, learner docs, local export bundles, and pilot-fir... 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件,目前累计下载 133 次。
如何安装 OpenClaw Chinese Laoshi Ops?
在 OpenClaw 或 Claude Code 对话框中运行命令「/install openclaw-agent-chinese-laoshi」即可一键安装,无需额外配置。
OpenClaw Chinese Laoshi Ops 是免费的吗?
是的,OpenClaw Chinese Laoshi Ops 完全免费,采用 MIT-0 许可证,可自由下载、安装和使用。
OpenClaw Chinese Laoshi Ops 支持哪些平台?
OpenClaw Chinese Laoshi Ops 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 OpenClaw Chinese Laoshi Ops?
由 Zakhar Pashkin(@zack-dev-cm)开发并维护,当前版本 v1.0.13。
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