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samuelkahessay

Code Mentor

by samuelkahessay · GitHub ↗ · v1.0.2
cross-platform ⚠ suspicious
7009
Downloads
3
Stars
39
Active Installs
3
Versions
Install in OpenClaw
/install code-mentor
Description
Comprehensive AI programming tutor for all levels. Teaches programming through interactive lessons, code review, debugging guidance, algorithm practice, project mentoring, and design pattern exploration. Use when the user wants to: learn a programming language, debug code, understand algorithms, review their code, learn design patterns, practice data structures, prepare for coding interviews, understand best practices, build projects, or get help with homework. Supports Python and JavaScript.
Usage Guidance
Install only if you are comfortable with a coding tutor that may read selected code files, run test suites on your machine, and save session progress locally. Avoid running its test helper on untrusted repositories or projects with secrets, and review or remove the learning log if you do not want progress notes retained.
Capability Analysis
Type: OpenClaw Skill Name: code-mentor Version: 1.0.2 The skill is classified as suspicious due to several high-risk capabilities, although without clear evidence of intentional malicious intent. The `SKILL.md` contains direct instructions to the AI agent to update `references/user-progress/learning_log.md`, which, while benign in purpose, demonstrates a form of prompt injection. More significantly, the `scripts/run_tests.py` script executes user-provided code via external test runners (`pytest`, `unittest`, `jest`), allowing for potential arbitrary code execution if a malicious user provides a crafted test file. Additionally, the `scripts/analyze_code.py` and `scripts/complexity_analyzer.py` scripts can read and process arbitrary files, which could be leveraged by a malicious agent to access sensitive local data and output its content.
Capability Assessment
Purpose & Capability
The tutoring, code review, debugging, and testing features fit the stated purpose, but the optional test runner executes pytest, unittest, and Jest targets on the host, including npx-based Jest execution, without sandboxing or path scoping.
Instruction Scope
The skill uses broad activation examples such as debugging and code review requests, and it instructs the agent to update the learning log after each session rather than asking the user to opt in.
Install Mechanism
No install hooks or hidden setup behavior were found. The optional Python dependencies use lower-bound version constraints, and Jest installation is documented as a manual optional step.
Credentials
Reading user-selected code files is expected for code review, but running repository tests is high-impact because tests can execute arbitrary project code in the user's environment.
Persistence & Privilege
The skill persistently writes progress to references/user-progress/learning_log.md after sessions and discloses that behavior, but it does not provide clear opt-in, retention, minimization, or deletion controls.
How to Use
  1. Make sure OpenClaw is installed (local or Docker)
  2. Run the install command in chat: /install code-mentor
  3. After installation, invoke the skill by name or use /code-mentor
  4. Provide required inputs per the skill's parameter spec and get structured output
Version History
v1.0.2
- Updated metadata: author and version information revised, new license and compatibility sections added. - Language support now explicitly limited to Python and JavaScript. - Added a .DS_Store file (no functionality change). - No core skill logic or documentation content updated beyond metadata adjustments.
v1.0.1
Version 1.0.1 Changelog - No file changes detected in this release. - Functionality and features remain unchanged from the previous version.
v1.0.0
Initial release of Code Mentor — a comprehensive AI programming tutor for all levels. - Offers interactive lessons, code review, debugging guidance, algorithm practice, project mentoring, and design pattern exploration. - Supports 40+ programming languages including Python, JavaScript, TypeScript, Java, C++, Go, and Rust. - Adapts teaching style and content to the user's experience level and preferred learning style. - Provides eight distinct teaching modes, from concept learning to interview prep and project guidance. - Uses guided questioning (Socratic method) for debugging and code review, focusing on user learning and understanding.
Metadata
Slug code-mentor
Version 1.0.2
License
All-time Installs 264
Active Installs 39
Total Versions 3
Frequently Asked Questions

What is Code Mentor?

Comprehensive AI programming tutor for all levels. Teaches programming through interactive lessons, code review, debugging guidance, algorithm practice, project mentoring, and design pattern exploration. Use when the user wants to: learn a programming language, debug code, understand algorithms, review their code, learn design patterns, practice data structures, prepare for coding interviews, understand best practices, build projects, or get help with homework. Supports Python and JavaScript. It is an AI Agent Skill for Claude Code / OpenClaw, with 7009 downloads so far.

How do I install Code Mentor?

Run "/install code-mentor" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.

Is Code Mentor free?

Yes, Code Mentor is completely free (open-source). You can download, install and use it at no cost.

Which platforms does Code Mentor support?

Code Mentor is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).

Who created Code Mentor?

It is built and maintained by samuelkahessay (@samuelkahessay); the current version is v1.0.2.

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