高考 (Gaokao)
v1.0.0Prepare for China's national college entrance exam with progress tracking, weak area analysis, spaced repetition, and university targeting.
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byIván@ivangdavila
MIT-0
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LicenseMIT-0 · Free to use, modify, and redistribute. No attribution required.
Security Scan
OpenClaw
Benign
high confidencePurpose & 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.
Assessment
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.Like a lobster shell, security has layers — review code before you run it.
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License
MIT-0
Free to use, modify, and redistribute. No attribution required.