An advanced, interactive AI agent skill for CET-4 and CET-6 preparation featuring adaptive simulations, instant diagnostic feedback, and structured study planning.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install cet-skill
2. Manual Installation
Copy the skill folder to one of these locations
~/.openclaw/skills/ <project>/skills/ Priority: Workspace > Local > Bundled
3. Prompt Installation
Copy this prompt to OpenClaw to install it automatically.
Help me install cet-skill using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Prefer to download?
Get the raw skill files in a ZIP archive.
What is CET Preparation Skill?
The CET Skill is a sophisticated AI assistant engineered specifically for Chinese college students preparing for the CET-4 and CET-6 exams. Utilizing deep trends analyzed from actual test papers spanning 2015 to 2025, this skill delivers realistic, exam-aligned practice questions. It acts as an on-demand personal tutor, assessing current capabilities, guiding targeted improvement, and providing highly structured diagnostics across all major exam sections including writing, translation, reading, and listening.
By deploying this agent via Openclaw Skills, developers and learners can instantly access customized, contextual feedback. The skill adheres to pedagogical best practices, such as delaying answer reveals to encourage active learning, and adapts its language logic, sentence structures, and vocabulary difficulty precisely to the target exam level. It provides unmatched value by eliminating generic study templates and focusing on personalized progress.
CET Preparation Skill Use Cases
- Chinese college students preparing for the upcoming CET-4 or CET-6 exam needing targeted, section-specific training.
- Learners wanting immediate, professional diagnostic feedback on written essays and Chinese-to-English translation exercises.
- Candidates requiring structured, full-length reading and listening practice simulations that match the difficulty and format of real papers.
- Users looking for a personalized, timeline-based study plan based on their current strengths and exam deadlines via Openclaw Skills.
How CET Preparation Skill Works
- User Profile Collection: The agent prompts the user to identify their target level (CET-4 or CET-6), weakest section, target score, and exam timeline.
- Mode Routing: Based on user interaction, the agent dynamically switches into one of five dedicated modes: Writing, Translation, Reading, Listening, or Study Plan.
- Task Generation: The agent generates high-fidelity, original exam-style tasks that match official instructions, word limits, and logical distributions.
- Active Practice & Submission: The user completes the writing, translation, reading, or listening task and submits their response.
- Diagnostic Feedback: Utilizing Openclaw Skills orchestration, the agent evaluates the input against professional scoring rubrics and returns a detailed breakdown, showing grading scores, key mistakes, high-scoring alternatives, and next-step actions.
CET Preparation Skill Setup
To run this skill with your Openclaw Skills environment, configure your AI agent with the provided SKILL.md rules. Ensure your platform configuration supports state-driven memory for user profile retention.
CLI Installation
Configure the skill locally using the command-line interface:
# Install the Openclaw developer toolkit
npm install -g openclaw-cli
# Clone or download the CET skill configuration
openclaw skill:add path/to/cet-skill
# Run the agent in interactive test mode
openclaw skill:run cet-skill
Variable Configuration
Ensure your LLM backend is configured to support dual-language instructions (defaulting to Chinese) and has a context window of at least 8k tokens to handle complete reading comprehension paragraphs.
CET Preparation Skill Data Schema & Taxonomy
The CET Skill structures its training data and interaction schemas around standardized templates to maintain output consistency across different exam modes:
| Section | Simulated Data Format | Output Metadata & Diagnostics |
|---|---|---|
| Writing | Word range selection, task type (opinion, suggestion, notice) | Scoring rubric, key issues, sentence revisions, high-scoring rewrites, custom template |
| Translation | Official themes (traditional culture, modernization, social development) | Completeness check, Chinglish diagnosis, standard vs high-scoring English translations |
| Reading | Full-length Banked Cloze (10 blanks, 15 options), Matching, or Careful Reading | Answer keys, paragraph evidence, distractor taxonomy mapping, error diagnostics |
| Listening | Vocabulary pre-warmup, script/transcript audio cues | Script lookup, listening cues, distractor path analysis |
All generated exercises adhere strictly to word-count boundaries (e.g., 120-180 words for CET-4 writing, 150-200 words for CET-6) and syntax complexity controls.
CET Preparation Skill Advanced Features
- Codex-Aligned Trend Simulations: Uses parameters extracted from ten years of exam analysis (2015-2025) to generate realistic distractor options and text densities.
- Dynamic Difficulty Tuning: Shifts grammatical complexity, sentence length, and vocabulary abstraction between CET-4 and CET-6 standards.
- State-Aware Active Diagnostics: Leverages delayed-answer logic to enforce test-taking discipline before revealing explanations, a standout feature within Openclaw Skills integrations.
- Error Taxonomy Classification: Categorizes user mistakes (such as keyword chasing, reversed causality, and over-inference) to offer personalized follow-up drills.
SKILL.md
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