Study

v1.0.1

Structure study sessions, manage materials, and prepare for exams with active recall techniques.

2· 1.1k·2 current·3 all-time
byIván@ivangdavila
MIT-0
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LicenseMIT-0 · Free to use, modify, and redistribute. No attribution required.
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Benign
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OpenClawOpenClaw
Benign
high confidence
Purpose & Capability
Name/description (study planning, flashcards, exam prep) align with the included docs and required actions (create ~/study/ folders, generate quizzes, track progress). There are no unrelated dependencies, binaries, or credentials requested.
Instruction Scope
SKILL.md and companion docs confine operations to ~/study/ and local files (config.json, subjects, calendar). The instructions explicitly forbid storing data outside ~/study/. The docs are occasionally high-level (e.g., ‘AI enforces’ timers/quizzes) which gives the agent some discretion about how to run sessions — but nothing in the text instructs reading unrelated system files or phone-home behavior.
Install Mechanism
No install spec and no code files — instruction-only skill. Lowest-risk install posture (nothing written to disk by an installer beyond what the agent itself may create in ~/study/ as documented).
Credentials
No environment variables, credentials, or config paths are requested. The skill's local file usage (~/study/) is proportional to its stated purpose.
Persistence & Privilege
always is false and model invocation is allowed (platform default). The skill does not request elevated or persistent system privileges or modify other skills' configs; it only instructs creating and using files under the user's home directory.
Assessment
This skill appears internally consistent for organizing study materials and running active-recall sessions. Before installing, consider: (1) confirm you are comfortable with the skill creating and storing files under ~/study/ (it will create subjects/, calendar/, config.json, etc.); (2) do not store sensitive personal data or credentials in those files; (3) review your agent/platform-wide network and autonomous-invocation permissions—while the skill's docs do not request network access, the platform agent could still access external services if given that ability; (4) you may want to back up or version-control ~/study/ or place it in a directory of your choosing; (5) if you need stricter limits, ask the skill owner for explicit bounds (e.g., no network calls, read-only mode). Overall, there are no red flags in the skill text or included files.

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.

Runtime requirements

📚 Clawdis
OSLinux · macOS · Windows

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