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Install in OpenClaw
/install gaokao
Description
Prepare for China's national college entrance exam with progress tracking, weak area analysis, spaced repetition, and university targeting.
README (SKILL.md)
When to Use
User is preparing for 高考 (Gaokao), China's national college entrance exam. Agent becomes a comprehensive study assistant handling scheduling, tracking, practice, and university planning.
Quick Reference
| Topic | File |
|---|---|
| Exam structure and scoring | exam-config.md |
| Progress tracking system | tracking.md |
| Study methods and spaced repetition | study-methods.md |
| Stress management and wellbeing | wellbeing.md |
| University and major targeting | targets.md |
| User type adaptations | user-types.md |
Data Storage
User data lives in ~/gaokao/:
~/gaokao/
├── profile.md # Goals, target score, exam date, province
├── subjects/ # Per-subject progress and weak areas
├── sessions/ # Study session logs
├── mocks/ # Mock exam results and analysis
├── flashcards/ # Spaced repetition cards
└── feedback.md # What works, what doesn't
Core Capabilities
- Daily scheduling — Generate study plans based on exam countdown and weak areas
- Progress tracking — Monitor scores, time spent, mastery levels across all subjects
- Weak area identification — Analyze errors to find high-ROI topics
- Spaced repetition — Manage flashcards for vocabulary, formulas, 古诗词
- Mock exam analysis — Score prediction, error pattern recognition
- University targeting — Match scores to admission requirements
Decision Checklist
Before study planning, gather:
- Exam date and days remaining
- Province (affects cutoffs and curriculum)
- Subject combination (3+1+2 or 3+3)
- Target universities and majors
- Current estimated score range
- User type (student, parent, tutor, retaker)
Critical Rules
- ROI-first — Prioritize topics with highest points-per-hour potential
- Track everything — Log sessions, scores, errors to
~/gaokao/ - Adapt to user type — Students need scheduling; parents need monitoring; tutors need multi-student
- Spaced repetition — Don't cram; distribute review over time
- Wellbeing matters — Monitor for burnout; suggest breaks
Usage Guidance
This skill appears coherent and local-only, but note it will create and read files in ~/gaokao/ containing personal data (name, scores, mock results). Before installing: (1) confirm you are comfortable storing that information locally; (2) review or backup the ~/gaokao/ folder and remove any sensitive identifiers (e.g., full ID numbers) you don't want saved; (3) remember the skill's source/homepage is unknown—if provenance matters, prefer skills with documented authorship; (4) if you want remote sync or cloud backups, explicitly review where and how data would be sent (the skill itself does not declare any external endpoints); (5) if multiple people use the machine, consider file permissions or encryption to protect student data.
Capability Analysis
Type: OpenClaw Skill
Name: gaokao
Version: 1.0.0
The OpenClaw AgentSkills skill bundle for Gaokao preparation appears benign. All instructions and data storage mechanisms described in the various markdown files (e.g., SKILL.md, tracking.md, feedback.md) are consistent with the stated purpose of a study assistant. Data is explicitly stated to be stored locally within `~/gaokao/` or `~/gaokao-tutor/` directories, and there is no evidence of attempts to access sensitive system files, perform unauthorized network communications, execute arbitrary commands, or engage in prompt injection for malicious purposes. The skill prioritizes user privacy by noting local data storage and user control over feedback.
Capability Assessment
Purpose & Capability
Name/description (Gaokao prep) match the files and instructions: scheduling, tracking, spaced repetition, mock analysis, and university targeting. All required artifacts (profile, subjects, sessions, flashcards, mocks, feedback) are coherent with the stated purpose. Note: the skill's source/homepage is unknown, but that is an administrative observation, not a functionality mismatch.
Instruction Scope
Runtime instructions explicitly read and write user data under ~/gaokao/ (profile.md, subjects/, sessions/, mocks/, flashcards/, feedback.md) and state that the agent reads feedback.md on each session start. This is expected for a local study assistant but is notable: the agent will store and reuse potentially sensitive personal and score information unless the user changes or deletes it.
Install Mechanism
No install spec and no code files — instruction-only. Nothing is downloaded or written by an installer, so there is low installation risk.
Credentials
The skill requires no environment variables, binaries, or external credentials. All declared storage is local to ~/gaokao/, which is proportional to a tracking/study tool.
Persistence & Privilege
always:false (default) and autonomous invocation not disabled — normal for skills. The skill stores data under its own folder only and does not request system-wide config changes or other skills' credentials.
How to Use
- Make sure OpenClaw is installed (local or Docker)
- Run the install command in chat:
/install gaokao - After installation, invoke the skill by name or use
/gaokao - Provide required inputs per the skill's parameter spec and get structured output
Version History
v1.0.0
Initial release: comprehensive Gaokao preparation with 7 auxiliary files covering exam structure, tracking, study methods, wellbeing, university targeting, user types, and feedback system
Metadata
Frequently Asked Questions
What is 高考 (Gaokao)?
Prepare for China's national college entrance exam with progress tracking, weak area analysis, spaced repetition, and university targeting. It is an AI Agent Skill for Claude Code / OpenClaw, with 878 downloads so far.
How do I install 高考 (Gaokao)?
Run "/install gaokao" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.
Is 高考 (Gaokao) free?
Yes, 高考 (Gaokao) is completely free (open-source). You can download, install and use it at no cost.
Which platforms does 高考 (Gaokao) support?
高考 (Gaokao) is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).
Who created 高考 (Gaokao)?
It is built and maintained by Iván (@ivangdavila); the current version is v1.0.0.
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