vast-gpu

80 / 100 · Low risk

Fine to try.

By wanshuiyin/Auto-claude-code-research-in-sleep (GitHub) · research · 19,020 stars · scanned at commit 8f49392

Rent, manage, and destroy GPU instances on vast.ai. Use when user says "rent gpu", "vast.ai", "rent a server", "cloud gpu", or needs on-demand GPU without owning hardware.

Works with any agent that supports SKILL.md skills.

What this skill can do

Downloads and installs other software

The author does not mention this.

Found in 6 places.

skills/vast-gpu/SKILL.md, line 20pip install vastai
skills/vast-gpu/SKILL.md, line 164--onstart-cmd "apt-get update && apt-get install -y git screen rsync"
skills/vast-gpu/SKILL.md, line 248Render the project's env spec as ORDERED phases — one `pip install` per phase,

Show 3 more

skills/vast-gpu/SKILL.md, line 253ssh -p <PORT> root@<HOST> "pip install -q torch==<pinned>"
skills/vast-gpu/SKILL.md, line 255ssh -p <PORT> root@<HOST> "pip install -q wandb tensorboard scipy scikit-learn pandas"
skills/vast-gpu/SKILL.md, line 263ssh -p <PORT> root@<HOST> "pip install -q -r /workspace/requirements.txt"

Runs commands on your computer

The author does not mention this.

Found in 15 places.

skills/vast-gpu/SKILL.md, line 20pip install vastai
skills/vast-gpu/SKILL.md, line 98vastai search offers "gpu_ram>=<MIN_VRAM> num_gpus>=<N> reliability>0.95 inet_down>100" -o 'dph+' --storage <DISK> --limit 10
skills/vast-gpu/SKILL.md, line 159vastai create instance <OFFER_ID> \

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skills/vast-gpu/SKILL.md, line 180vastai show instances --raw | python3 -c "
skills/vast-gpu/SKILL.md, line 194vastai ssh-url <INSTANCE_ID>
skills/vast-gpu/SKILL.md, line 208ssh -o StrictHostKeyChecking=no -o ConnectTimeout=15 -p <PORT> root@<HOST> "nvidia-smi && echo 'CONNECTION_OK'"
skills/vast-gpu/SKILL.md, line 253ssh -p <PORT> root@<HOST> "pip install -q torch==<pinned>"
skills/vast-gpu/SKILL.md, line 262scp -P <PORT> requirements.txt root@<HOST>:/workspace/
skills/vast-gpu/SKILL.md, line 271rsync -avz -e "ssh -p <PORT>" \
skills/vast-gpu/SKILL.md, line 283ssh -p <PORT> root@<HOST> "cd /workspace/project && python -c 'import torch; print(f\"PyTorch {torch.__version__}, CUDA: {torch.cuda.is_available()}, GPUs: {tor
skills/vast-gpu/SKILL.md, line 296ssh -p <PORT> root@<HOST> "ls /workspace/project/results/ 2>/dev/null || echo 'NO_RESULTS_DIR'"
skills/vast-gpu/SKILL.md, line 301rsync -avz -e "ssh -p <PORT>" root@<HOST>:/workspace/project/results/ ./results/
skills/vast-gpu/SKILL.md, line 306scp -P <PORT> root@<HOST>:/workspace/*.log ./logs/ 2>/dev/null
skills/vast-gpu/SKILL.md, line 312vastai destroy instance <INSTANCE_ID>
skills/vast-gpu/SKILL.md, line 337vastai show instances

Other copies in this repository

wanshuiyin/Auto-claude-code-research-in-sleep has 1 more folder with a skill named vast-gpu. This page shows the lowest-scoring copy.

skills/skills-codex/vast-gpu 80/100 · Low risk

Install

Paste this into your terminal. It downloads exactly the version we scanned, not whatever is newest.

if [ -e ~/.agents/skills/'vast-gpu' ] || [ -L ~/.agents/skills/'vast-gpu' ]; then echo 'A skill folder named vast-gpu already exists — not replacing it' >&2; false; else d=$(mktemp -d) && git clone --quiet --filter=blob:none --no-checkout 'https://github.com/wanshuiyin/Auto-claude-code-research-in-sleep' "$d" && git -C "$d" checkout --quiet '8f493923f28c3f991dcca1287db97aa780d0969b' -- 'skills/vast-gpu' && mkdir -p ~/.agents/skills && cp -R "$d"/'skills/vast-gpu' ~/.agents/skills/'vast-gpu' && rm -rf "$d"; fi

Codex reads ~/.agents/skills directly. For Claude Code, Cursor, Copilot, Gemini CLI, Antigravity or OpenCode, also link it. For Claude Code: ln -s ~/.agents/skills/'vast-gpu' ~/.claude/skills/'vast-gpu' (other agents: ~/.cursor/skills, ~/.copilot/skills, ~/.gemini/skills, ~/.gemini/config/skills, ~/.config/opencode/skills). Or install through the finder skill, which does both.

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Score history

Date	Version	Score
2026-11-11	`8f49392`	80
2026-11-08	`2901234`	80
2026-11-07	`2901234`	77