← 返回
未分类

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...
用于在学习或规范化中文课堂文字稿/字幕输入时,结合公开课程数据、学习者文档、本地导出包以及试点...
zack-dev-cm zack-dev-cm 来源
未分类 clawhub v1.0.15 2 版本 99815.2 Key: 无需
★ 1
Stars
📥 520
下载
💾 1
安装
2
版本
#chinese#drive#language-learning#latest

概述

OpenClaw Chinese Laoshi Ops

Use this skill when working with the bundled public Chinese lesson pack or with

Chinese lesson transcript/subtitle inputs and a repository that documents its own

lesson schema, local command surface, and publication gate.

Use This Skill When

  • the task is to normalize transcript or subtitle drops from Chinese lessons
  • the user wants to study from the bundled public lesson pack
  • the user wants lesson summaries, conspects, vocabulary, grammar, drills, or tests
  • the user wants roleplay scenarios, daily sprints, or HSK-style practice based on the bundled lesson data
  • the user asks for visible public tutor prompt artifacts or platform prompt packs
  • the user wants Markdown and JSON lesson assets prepared as local export bundles
  • the user wants to package or publish the workflow without leaking local paths,

known Drive IDs, or secret-shaped text

Runtime, Commands, And Credentials

  • This skill has no standalone runtime requirement and does not install code.
  • This published ClawHub skill can use bundled public course data or

transcript/subtitle inputs only.

  • It does not request API keys, cloud transcription credentials, browser

sessions, or Drive auth.

  • No Google Drive cloud upload or direct Drive API access is declared or assumed

by this published skill.

  • Optional mounted-Drive sync is allowed only when the checked-out source repo

documents a local sync command, and only with an explicit user-provided

--drive-root pointing at a pre-authenticated local mount.

  • Before executing any repository command, present the exact command and wait for

explicit user confirmation in the current conversation.

  • Never search for credentials, infer credential locations, or read

system-wide browser/Drive auth stores.

Operating Procedure

  1. If the user wants study help, inspect the bundled public course pack in

references/course-data first and stay inside that data.

  1. If the user is operating through ChatGPT or a GitHub connector, apply

references/chatgpt-connector-guidance.md before searching across repos.

  1. If the user asks for visible tutor prompts, cite only public artifacts from

references/system-prompts or the public repo's prompts/system directory.

  1. If the user wants content creation, confirm the input is transcript or subtitle text. If the source is

video-only, stop and ask for transcript/subtitle input or for the user to

switch to a private source-repo workflow.

  1. Inspect the checked-out repository docs, schemas, and command references

before proposing edits or commands.

  1. Move only one lesson at a time beyond scaffold state. Lesson 01 remains the

pilot gate before scaling.

  1. Build learner-facing artifacts only after grounded extraction exists.
  2. Run the repository's documented public release gate before GitHub or ClawHub

publication.

If a matching audited command is absent, stop and ask for source-repo

instructions or explicit commands. Do not recreate the pipeline, call external

services, inspect local credential stores, or continue with ad hoc extraction.

Core Rules

  • Raw lesson media stays in Drive or another operator-controlled store.
  • Lesson 01 is the pilot gate. Do not scale real content to lessons 02-16 until

lesson 01 is approved.

  • Keep uncertainty visible. Missing Hanzi, pinyin, or translation should be

marked, not guessed.

  • The tutor is Petrov-inspired, not Petrov impersonation.
  • Treat all public publication surfaces as hostile to private details. ClawHub

and GitHub publication should assume anyone can read SKILL.md.

Workflow

1. Extract

  • For study mode, use references/course-data/lessons-bundle.json,

references/course-data/roleplays, and references/course-data/hsk before

asking for external files.

  • Prefer a transcript or subtitle drop when available.
  • If the source is video-only, stop until a transcript/subtitle input exists or

the user explicitly switches to a source-repo-specific private workflow.

  • Keep timestamps, speaker-role placeholders, and uncertainty notes.

2. Ground

  • Convert raw transcript segments into the lesson schema.
  • Add summaries, conspects, vocabulary, grammar, pronunciation, drills, and

tests only when the source supports them.

  • Keep source traceability visible.

3. Review

  • Check lesson quality against the pilot-first and editorial gates.
  • Reject unsupported content, weak answer keys, and synthetic filler.
  • Treat speaker labeling, Hanzi, pinyin, and translation drift as correctness

problems, not style nits.

4. Render And Export

  • Rebuild learner-facing Markdown after lesson JSON changes.
  • Build JSON and Markdown export bundles locally after the repo copy passes

checks.

  • Sync to a mounted Drive folder only when the user supplies an explicit

--drive-root and the repository documents a managed export marker.

  • Keep exports small; raw media should not enter the repo or the public skill.
  • Public skill course data must stay sanitized and small: lesson bundle,

roleplays, HSK payloads, lesson plans, and course index only.

5. Publish

  • The public bundle must pass the release gate before GitHub or ClawHub.
  • The gate should fail closed on placeholders, local absolute paths, localhost

URLs, websocket/debug endpoints, secret-like strings, and known lesson file

IDs.

  • The gate must also fail if bundled references/course-data is missing,

incomplete, or different between the standalone public skill and plugin skill.

  • The gate must also fail if public tutor prompt artifacts are missing from

references/system-prompts, missing from the public repo prompts/system

surface, or drift between standalone and plugin copies.

Do Not

  • Do not guess missing Chinese text or smooth weak source material into fake fluency.
  • Do not move lessons 02-16 past scaffold state before the lesson 01 pilot clears.
  • Do not publish local paths, private emails, mounted Drive paths, or browser

session details.

  • Do not let the public skill and the bundled plugin copy drift apart.
  • Do not request API keys, browser sessions, or Drive auth from the published

ClawHub skill.

  • Do not execute repository commands until the user confirms the exact command.
  • Do not run Drive sync or media extraction unless the required local command is

documented in the checked-out repo and the user has supplied the needed input

explicitly.

References

  • references/pipeline.md
  • current lesson pipeline, state transitions, and repo command surfaces
  • references/release-gates.md
  • public publication checklist and leak/slop/bleed blockers
  • references/chatgpt-connector-guidance.md
  • ChatGPT/GitHub connector routing rules for prompt lookup and roleplay start
  • references/system-prompts
  • public tutor prompt packs and shared runtime correction contract
  • references/course-data
  • sanitized lesson bundle, lesson plans, roleplays, and HSK-style practice

版本历史

共 2 个版本

  • v1.0.15 当前
    2026-05-21 13:09 安全 安全
  • v1.0.14
    2026-05-03 07:29 安全 安全

安全检测

腾讯云安全 (Keen)

安全,无风险
查看报告

腾讯云安全 (Sanbu)

安全,无风险
查看报告

🔗 相关推荐

education

Language Learning Tutor

chipagosfinest
AI语言导师,通过对话、词汇练习、语法课程、抽认卡及沉浸式练习,助您学习任意语言。适用于学习新语言、练词汇、学语法、翻译、会话练习、旅行准备、习语俚语或改善发音。支持包括中、英、日、韩、法、德、西等在内的100多种语言。
★ 28 📥 8,824
education

Interview Simulator

wscats
模拟各类职位和经验水平的面试,提供定制化的技术、行为及案例问题,并给予详细反馈与评分。
★ 23 📥 21,953
education

Thinking Partner

itsflow
通过提问探索复杂问题的协作思考伙伴
★ 48 📥 9,862