通用学习带教模式
v1.0.3通用学习带教模式，支持算法训练（LeetCode）和编程语言学习（Python/TypeScript 等）。采用苏格拉底式提问教学法，一步步引导思考和实践，不直接给答案，每个学习单元完成后自动生成代码和文档。
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MIT-0
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LicenseMIT-0 · Free to use, modify, and redistribute. No attribution required.
Security Scan
OpenClaw
Benign
high confidencePurpose & Capability
The name/description (learning mentor for algorithms and languages) matches the instructions: interactive Socratic questioning, prompting students to write code, validating solutions, and generating docs/files. No unrelated credentials, binaries, or install actions are requested.
Instruction Scope
The SKILL.md explicitly instructs the agent to read students' code after they indicate '写完了' and to generate/update files (e.g., progress.md, solution files, README.md). Reading/writing workspace files is expected for this use case, but it is the primary data access the skill will perform — users should be aware the skill will inspect and create files in the working directory.
Install Mechanism
No install spec and no code files are present — instruction-only skill. This is the lowest-risk install surface and consistent with the described functionality.
Credentials
The skill requests no environment variables, credentials, or config paths. Its file read/write behavior is proportionate to generating/validating student exercises and progress tracking.
Persistence & Privilege
always:false and no special privileges requested. The skill does instruct generating and updating local files (its own artifacts), which is reasonable for a tutor skill and does not modify other skills or system-wide settings.
Assessment
This skill appears coherent and instruction-only: it will interactively guide learners, read submitted code, and create/update progress and solution files in the workspace. Before installing or invoking it, confirm you are comfortable with the agent having access to the working directory (it will read student code and write generated docs/code). There are no network endpoints or credentials requested. If you plan to use it on sensitive repositories, avoid running it where it could read confidential code; otherwise it is appropriate for typical learning workflows.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.