Learning Path Navigator
v1.0.0个性化学习路径导航仪 - 根据学习目标、当前水平和可用资源生成定制化学习计划。 支持技能评估、路径规划、资源推荐、里程碑跟踪等功能。
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byhaidong@harrylabsj
MIT-0
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LicenseMIT-0 · Free to use, modify, and redistribute. No attribution required.
Security Scan
OpenClaw
Benign
high confidencePurpose & Capability
Name/description (personalized learning path generation) align with the included code and SKILL.md. The JS/TS engine implements deterministic plan generation (phases, milestones, resources) and does not require external services or credentials to produce simulated recommendations.
Instruction Scope
SKILL.md describes only analysing user goals/current level and returning a structured learning path. Instructions do not ask the agent to read arbitrary files, environment variables, or system state beyond the input request. The README explicitly states real resource integration would require external APIs (and currently uses simulated data).
Install Mechanism
No install spec is present. The package contains code files but no installer, no downloads, and package.json only exposes a test script. No extract/download URLs or third-party install steps are present.
Credentials
The skill declares no required environment variables, credentials, or config paths. The runtime code does not reference process.env, network endpoints, or credential files. Requested access is minimal and proportional to the stated functionality.
Persistence & Privilege
The skill is not marked always:true and uses normal, user-invocable invocation. It does not modify other skills or system-wide settings. Its handler includes a CLI self-test that prints results to stdout (no persistent changes).
Assessment
This skill appears to be a self-contained learning-path generator (deterministic JS/TS code) and does not contact external services or request secrets. Before installing or running it: 1) if you plan to integrate it with real education platforms, be aware you will then need to supply API keys/tokens — only provide those to sources you trust; 2) the included handler runs a console-based self-test (safe but will print to logs); 3) although the code is simple and local, if you run it on a shared/hosted agent, ensure the agent's network and filesystem permissions meet your security requirements; 4) if you want extra assurance, review the repository linked in metadata or run the code in an isolated environment first.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.