Quick Learn
v2.5.0A Feynman-based learning coach for systematic multi-day learning plans and quick article/book breakdowns. Supports EN and ZH.
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bywjy@wjyhahaha
MIT-0
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LicenseMIT-0 · Free to use, modify, and redistribute. No attribution required.
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OpenClaw
Benign
high confidencePurpose & Capability
Name/description (Feynman-based learning coach) match the behavior in SKILL.md and the included script: generating learning paths, quizzes, source-search guidance, saving plan files under learning-data/{slug}, and scheduling daily pushes. No unrelated credentials, binaries, or config paths are requested.
Instruction Scope
The runtime instructions direct the agent to perform web searches, fetch and inspect pages (headers, dates, GitHub commit times), write/read files under learning-data/{slug}, and create cron-style scheduled pushes. All of these actions are appropriate for a learning coach, but they do involve network fetches and persistent storage of plan/state data.
Install Mechanism
No install spec; this is instruction-only plus a small helper script (scripts/learner.py) included in the bundle. There are no downloads from external URLs or package installs, so nothing is written to disk beyond the skill's own files and any learning-data the agent creates during use.
Credentials
The skill requires no environment variables, no credentials, and no config paths. The actions described (web fetching and local plan files) do not require additional secrets; requested scope is proportionate to the described functionality.
Persistence & Privilege
The skill instructs creation of per-plan cron schedules and persistent files (learning-data/{slug}/path.json, review-state.json, etc.). always is false. Scheduling recurring pushes is consistent with a learning coach but is a persistence capability users should be aware of (it will schedule future agent actions and write plan state to disk).
Assessment
This skill appears internally consistent with its stated purpose. Before installing, be aware that: (1) it will create and store plan/state files under learning-data/{slug} on the agent host; (2) it instructs the agent to perform web searches and fetch pages (network activity) to verify sources; (3) it will create scheduled cron-like jobs to push daily content — these recurring actions persist until disabled. The included script (scripts/learner.py) only generates path/quiz JSON and lists plans. If you accept scheduled pushes and local storage for plans, this skill is reasonable to use. If you are uncomfortable with autonomous scheduled pushes or persistent files, review/inspect the skill files and disable autonomous invocation or refuse cron creation before enabling the skill.Like a lobster shell, security has layers — review code before you run it.
latestvk979c9f5vm1d7acd9c1swq654n84pfaz
License
MIT-0
Free to use, modify, and redistribute. No attribution required.