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zack-dev-cm

OpenClaw Chinese Laoshi Ops

by Zakhar Pashkin · GitHub ↗ · v1.0.13 · MIT-0
cross-platform ✓ Security Clean
133
Downloads
1
Stars
1
Active Installs
5
Versions
Install in OpenClaw
/install openclaw-agent-chinese-laoshi
Description
Use when studying or normalizing Chinese lesson transcript/subtitle inputs with bundled public lesson data, learner docs, local export bundles, and pilot-fir...
Usage Guidance
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.
Capability Analysis
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.
Capability Tags
crypto
Capability Assessment
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.
How to Use
  1. Make sure OpenClaw is installed (local or Docker)
  2. Run the install command in chat: /install openclaw-agent-chinese-laoshi
  3. After installation, invoke the skill by name or use /openclaw-agent-chinese-laoshi
  4. Provide required inputs per the skill's parameter spec and get structured output
Version History
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
Metadata
Slug openclaw-agent-chinese-laoshi
Version 1.0.13
License MIT-0
All-time Installs 1
Active Installs 1
Total Versions 5
Frequently Asked Questions

What is OpenClaw Chinese Laoshi Ops?

Use when studying or normalizing Chinese lesson transcript/subtitle inputs with bundled public lesson data, learner docs, local export bundles, and pilot-fir... It is an AI Agent Skill for Claude Code / OpenClaw, with 133 downloads so far.

How do I install OpenClaw Chinese Laoshi Ops?

Run "/install openclaw-agent-chinese-laoshi" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.

Is OpenClaw Chinese Laoshi Ops free?

Yes, OpenClaw Chinese Laoshi Ops is completely free, licensed under MIT-0. You can download, install and use it at no cost.

Which platforms does OpenClaw Chinese Laoshi Ops support?

OpenClaw Chinese Laoshi Ops is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).

Who created OpenClaw Chinese Laoshi Ops?

It is built and maintained by Zakhar Pashkin (@zack-dev-cm); the current version is v1.0.13.

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