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VMamba Env Doctor
by
jiangkaiqi2005
· GitHub ↗
· v1.0.0
· MIT-0
88
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0
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0
Active Installs
1
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Install in OpenClaw
/install vmamba-env-doctor
Description
Guide for setting up a stable VMamba environment and resolving common CUDA, PyTorch, MMCV, and compilation errors. Use when users encounter issues like "unsu...
Usage Guidance
This skill is a coherent, copyable setup guide for VMamba; it does not request credentials or hide endpoints. Before running commands, review them and run them in an isolated conda environment. Confirm your system GPU drivers support CUDA 11.8, avoid running commands as root unless necessary, and inspect any local code you build (the pip install . step in kernels/selective_scan compiles native code). Be aware that mim/pip/conda will fetch packages from public repositories—ensure your environment/trust policies allow those sources.
Capability Analysis
Type: OpenClaw Skill
Name: vmamba-env-doctor
Version: 1.0.0
The skill provides legitimate instructions and shell commands for setting up a VMamba development environment, including specific versions of PyTorch, CUDA, and OpenMMLab libraries. The commands in SKILL.md and README.md are standard package management operations (conda, pip, mim) and do not exhibit any signs of data exfiltration, malicious execution, or prompt injection.
Capability Assessment
Purpose & Capability
The name/description match the content: SKILL.md is a step-by-step environment and build guide for VMamba, PyTorch, MMCV and compiling selective_scan. All requested actions (conda/pip/mim installs, setting CC/CXX, building a local kernel) are expected for that purpose.
Instruction Scope
Instructions are narrowly scoped to creating a conda env, installing specific package versions, fixing MKL/NumPy/OpenCV issues, and compiling a local CUDA kernel. The skill does not instruct reading unrelated files, exporting secrets, or contacting unexpected endpoints; network activity is limited to conda/pip/mim package repositories (expected).
Install Mechanism
This is instruction-only (no install spec). The guide tells users to run conda/pip/mim commands which are standard package managers. Nothing is downloaded from obscure personal URLs by the skill itself.
Credentials
No environment variables, credentials, or config paths are required by the skill. The guidance suggests setting CC/CXX for local compilation (expected and limited in scope).
Persistence & Privilege
always:false and no persistent modifications to agent/system configuration are requested by the skill. It does not ask to enable itself or modify other skills.
How to Use
- Make sure OpenClaw is installed (local or Docker)
- Run the install command in chat:
/install vmamba-env-doctor - After installation, invoke the skill by name or use
/vmamba-env-doctor - Provide required inputs per the skill's parameter spec and get structured output
Version History
v1.0.0
- Initial release of vmamba-env-doctor.
- Provides a step-by-step guide for setting up a stable VMamba environment.
- Covers solutions for common errors including CUDA, PyTorch, MMCV, and compilation issues.
- Includes tested environment versions and complete installation commands.
- Offers troubleshooting for errors like "unsupported GNU version", "libc10.so not found", and package conflicts.
Metadata
Frequently Asked Questions
What is VMamba Env Doctor?
Guide for setting up a stable VMamba environment and resolving common CUDA, PyTorch, MMCV, and compilation errors. Use when users encounter issues like "unsu... It is an AI Agent Skill for Claude Code / OpenClaw, with 88 downloads so far.
How do I install VMamba Env Doctor?
Run "/install vmamba-env-doctor" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.
Is VMamba Env Doctor free?
Yes, VMamba Env Doctor is completely free, licensed under MIT-0. You can download, install and use it at no cost.
Which platforms does VMamba Env Doctor support?
VMamba Env Doctor is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).
Who created VMamba Env Doctor?
It is built and maintained by jiangkaiqi2005 (@jiangkaiqi2005); the current version is v1.0.0.
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