DeepSeek Harness Plugin

173787247/dsh-wsl-gpu

Stars ★ 1 Category WSL & Windows Interop Added 2026-08-30

Probes nvidia-smi and GPU visibility inside WSL.

Install

# from GitHub (first run asks for allowBuilds approval — follow the hint, retry)

dsh plugin --profile web add github:173787247/dsh-wsl-gpu

Any plugin you install runs third-party code with your own permissions — it can read your files, use your credentials, and reach the network, and tool approvals don’t sandbox it. GitHub-sourced plugins also run build scripts at install time — pnpm blocks those until you allow them, so an install can stop with ERR_PNPM_GIT_DEP_PREPARE_NOT_ALLOWED or ERR_PNPM_IGNORED_BUILDS; dsh prints the exact key to add under allowBuilds in your profile’s pnpm-workspace.yaml, and the install works on the next run. Allowing a build is a trust decision: only install sources you trust, and pin a commit (github:owner/repo#sha).

README

Install set: part of dsh-wsl-kit. Prefer KIT_SET=daily | llm | github | full (see kit README). Fault tree: TROUBLESHOOTING.md.

DeepSeek Harness tool: gpu_doctor — WSL nvidia-smi, VRAM pressure, Blackwell/5080 hints, and whether Ollama / vLLM / Unsloth Desktop ports compete on one GPU.

Part of dsh-wsl-kit.

中文说明 → README.zh.md

Where it sits

Reports nvidia-smi, Blackwell hints, and whether an inference port is already taken.

flowchart LR
  agent["dsh agent"] --> tool["gpu_doctor"] --> gpu["nvidia-smi / VRAM"]

Suite diagram and version snapshot: dsh-wsl-kit. This plugin is 0.2.2 (full; also in llm). Do not copy that matrix into this README.


Compatibility

Field Value
Plugin dsh-wsl-gpu 0.2.2
Minimum dsh ≥ 0.1.2 (web UI one-shot ?token= on Windows relay :3081)
Latest verified See dsh-wsl-kit Compatibility (currently 0.2.0-rc.2) — single source of truth for the suite
Kit set llm / full (some also useful alone)
Cloud Flash Use model id deepseek-flash (V4.1 Flash) in ~/.dsh/settings.yaml / llm-deepseek — not configured by this plugin
Agent Teams Upstream experimental; not required here

Suite floor versions: kit check-plugin-versions.sh. Fault tree: TROUBLESHOOTING.md.

Why

Local inference needs the Windows NVIDIA driver to expose GPUs into WSL2. On a single ~16GB card (e.g. RTX 5080), opening Ollama and llama-server and vLLM at once is a common OOM path. This tool reports visibility, VRAM, and open inference ports together.

Install

curl -fsSL https://raw.githubusercontent.com/173787247/dsh-wsl-kit/master/install.sh | KIT_SET=llm bash
# or:
dsh plugin --profile web add github:173787247/dsh-wsl-gpu

Ask: “Run gpu_doctor” after driver updates, CUDA build failures, or before loading another large GGUF.

What you get

  • Parsed GPU rows: name, driver, VRAM used/total, util, compute capability
  • Blackwell / RTX 50 tips (sm_120, CUDA 12.8+/13.x)
  • Inference port scan: 11434 / 1234 / 8000 / 8080
  • Pointers to host_reach and docker_doctor focus=vllm

Config

- id: dsh-wsl-gpu
  name: dsh-wsl-gpu
  config:
    timeoutMs: 20000
    probeTimeoutMs: 1200
    probeInference: true

Test

npm test

License

MIT

Content from the project README on GitHub ↗

Links

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