Studying

Auto-learns your study habits for academic success. Adapts techniques, timing, and materials to you.

MIT-0 · Free to use, modify, and redistribute. No attribution required.
3 · 966 · 2 current installs · 2 all-time installs
byIván@ivangdavila
MIT-0
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Benign
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OpenClawOpenClaw
Benign
high confidence
Purpose & Capability
Name/description match the behavior: the skill adapts study techniques, timings and materials and persists preferences to ~/studying/memory.md. There are no unexpected binaries, credentials, or external services required.
Instruction Scope
Instructions are instruction-only and confined to observing user interactions and writing a plain-text memory file in the user's home. However 'observe and fill' is somewhat vague about what signals are used; the skill may update memory based on user messages or agent interactions without an explicit per-update confirmation unless the agent is constrained by higher-level policies.
Install Mechanism
No install steps or downloaded code — instruction-only. This minimizes supply-chain risk because nothing is written to disk except the explicitly declared memory file.
Credentials
The skill requests no environment variables, credentials, or config paths. The only file path used (~/studying/memory.md) is proportional to the stated purpose of persisting preferences.
Persistence & Privilege
always:false and no special privileges are requested. Still, the skill is autonomous-invocation-capable by default and will persist changes to memory.md; that combination can cause behavior to drift over time without manual review. The skill's internal criteria help limit updates, but automatic confirmation after '2+ signals' means updates can happen without explicit user confirmation.
Assessment
This skill appears coherent and low-risk: it stores study preferences locally and doesn't ask for credentials or network access. Before installing, consider: (1) review ~/studying/memory.md after use to ensure no unintended content was saved (it’s plaintext by default); (2) ask the skill/agent to require explicit confirmation before writing new 'confirmed' entries if you want tighter control; (3) if you have sensitive notes, avoid sharing them with the agent or move the memory file to an encrypted location; and (4) remember that the agent may adapt over time — periodically check and prune stored preferences if its behavior diverges from your expectations.

Like a lobster shell, security has layers — review code before you run it.

Current versionv1.0.1
Download zip
latestvk97c416064we956mm0zddqnqf9816j8c

License

MIT-0
Free to use, modify, and redistribute. No attribution required.

SKILL.md

Auto-Adaptive Study Preferences

This skill auto-evolves. User preferences persist in ~/studying/memory.md. Create on first use:

## Techniques
<!-- Study methods that work. Format: "method: context (level)" -->
<!-- Examples: Active recall for facts (confirmed), Mind maps for concepts (pattern) -->

## Schedule
<!-- When/how they study best. Format: "preference (level)" -->
<!-- Examples: Morning sessions (confirmed), 25min blocks (pattern) -->

## Materials
<!-- Preferred formats. Format: "type: context (level)" -->
<!-- Examples: Video lectures for intro (confirmed), Textbooks for deep (pattern) -->

## Exams
<!-- Exam prep patterns. Format: "pattern (level)" -->
<!-- Examples: Past papers week before (confirmed), Cramming doesn't work (locked) -->

## Never
<!-- Approaches that fail. Format: "approach (level)" -->
<!-- Examples: Rereading (confirmed), Highlighting only (pattern) -->

Empty sections = no preference yet. Observe and fill. Levels: pattern → confirmed → locked

Rules:

  • Detect patterns from what study methods work and which don't
  • Focused on academic contexts (exams, courses, grades)
  • Confirm after 2+ consistent signals
  • Check dimensions.md for categories, criteria.md for format

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