Learning System Skill

v1.0.0

AI 领域系统学习体系。管理知识图谱、深度学习笔记、实战复盘和关联网络。触发场景:学习计划、知识图谱更新、深度研究某个 AI 主题、实战复盘总结、调研后沉淀知识、每周学习回顾。当用户说'学了什么'、'总结一下'、'沉淀知识'、'复盘'、'更新图谱'、'深入研究'、'写笔记'、'学习回顾'、'review what...

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MIT-0
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LicenseMIT-0 · Free to use, modify, and redistribute. No attribution required.
Security Scan
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OpenClawOpenClaw
Benign
high confidence
Purpose & Capability
The skill name/description (learning system, knowledge map, deep-dive notes, weekly review) matches the actual files and scripts. The included Python scripts operate on local workspace paths (~/.openclaw/workspace/...), which is proportional to the stated purpose. No unrelated env vars, binaries, or config paths are requested.
Instruction Scope
SKILL.md explicitly instructs the agent to read memory logs, PR records, deep-dive notes, and the knowledge map and to create/update notes/weekly reviews. That behavior is coherent for a learning-management skill but means the skill will access personal project/activity logs. SKILL.md also mentions sending summaries via Feishu and '按需加载' other AI/ML skills; those actions may require external connectors/credentials or cause the agent to call other skills (expands scope).
Install Mechanism
No install spec; this is instruction-only with two small helper scripts bundled. No network downloads, package installs, or archive extraction are present—lowest install risk.
Credentials
The skill requests no environment variables, no secrets, and no external credentials in its metadata. Occasional references to sending reports via Feishu are present in the docs but no Feishu token or connector is demanded by the skill itself. Overall the requested environment access is proportional to the purpose.
Persistence & Privilege
always: false and default autonomous invocation allowed (platform default). The skill does not request permanent platform-wide privileges or modify other skills. It suggests writing/updating files under the user's notes directory and optionally scheduling cron jobs (user action), which are expected for a notes/reporting tool.
Assessment
This skill appears coherent for managing learning notes and computing mastery scores. Before installing, note: (1) it reads files under ~/.openclaw/workspace/ (notes, memory logs, deep-dives, weekly-reviews) and will rely on those files to generate reports—ensure you are comfortable with it reading those local files; (2) SKILL.md instructs the agent to create and update note files (ai-knowledge-map.md, deep-dives, weekly reviews) — if you allow autonomous runs or use the --quick flag the agent may write files without extra confirmations; (3) the docs mention sending summaries via Feishu and '按需加载' other skills — if you enable those actions you will need to provide/configure credentials or connectors and that expands the skill's effective access; (4) scripts only read and analyze files and print reports (no network calls or hidden endpoints were found), but review the scripts yourself if you have sensitive data in your workspace; (5) consider backing up notes/knowledge map before first run and avoid enabling fully autonomous operation until you confirm the behavior fits your workflow.

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.

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