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Install in OpenClaw
/install study
Description
Structure study sessions, manage materials, and prepare for exams with active recall techniques.
Usage Guidance
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.
Capability Analysis
Type: OpenClaw Skill
Name: study
Version: 1.0.1
The OpenClaw skill bundle 'study' appears benign. All files, including the `SKILL.md` which guides the AI agent, are focused on structuring study sessions and managing related materials. The only shell command identified (`mkdir -p ~/study/{subjects,calendar}` in `SKILL.md`) is a standard, non-malicious setup command for the skill's local data storage, explicitly limited to the `~/study/` directory. There is no evidence of data exfiltration, malicious execution, persistence mechanisms, obfuscation, or prompt injection attempts designed to subvert the agent for harmful purposes.
Capability Assessment
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.
How to Use
- Make sure OpenClaw is installed (local or Docker)
- Run the install command in chat:
/install study - After installation, invoke the skill by name or use
/study - Provide required inputs per the skill's parameter spec and get structured output
Version History
v1.0.1
Simplified structure, removed broken script references, explicit data storage
v1.0.0
Initial release - exam-focused study system with subject management
Metadata
Frequently Asked Questions
What is Study?
Structure study sessions, manage materials, and prepare for exams with active recall techniques. It is an AI Agent Skill for Claude Code / OpenClaw, with 1190 downloads so far.
How do I install Study?
Run "/install study" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.
Is Study free?
Yes, Study is completely free (open-source). You can download, install and use it at no cost.
Which platforms does Study support?
Study is cross-platform and runs anywhere OpenClaw / Claude Code is available (linux, darwin, win32).
Who created Study?
It is built and maintained by Iván (@ivangdavila); the current version is v1.0.1.
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