Segment Anything Model Guide
Orchestra-Research/AI-Research-SKILLs
Guide to using Meta's Segment Anything Model for zero-shot image segmentation with point, box or mask prompts, or automatic mask generation.
Rent, manage, and destroy GPU instances on vast.ai. An agent skill from AI4Scientist/nano-scientist.
Install Vast GPU
$ npx skills add AI4Scientist/nano-scientist --skill vast-gpu -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install AI4Scientist/nano-scientist vast-gpu --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ git clone --depth 1 https://github.com/AI4Scientist/nano-scientist.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/vast-gpu .claude/skills/vast-gpu && rm -rf skills-srcUse ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.
Claude Code skills documentation · loads skills from .claude/skills/
Install the "vast-gpu" agent skill from https://github.com/AI4Scientist/nano-scientist/tree/main/skills/vast-gpu into .claude/skills/vast-gpu/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "vast-gpu", then confirm the skill loads.Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$skill-installer install https://github.com/AI4Scientist/nano-scientist/tree/main/skills/vast-gpuType this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.
$ npx skills add AI4Scientist/nano-scientist --skill vast-gpu -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install AI4Scientist/nano-scientist vast-gpu --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/AI4Scientist/nano-scientist.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/vast-gpu .agents/skills/vast-gpu && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "vast-gpu" agent skill from https://github.com/AI4Scientist/nano-scientist/tree/main/skills/vast-gpu into .agents/skills/vast-gpu/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "vast-gpu", then confirm the skill loads.Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add AI4Scientist/nano-scientist --skill vast-gpu -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install AI4Scientist/nano-scientist vast-gpu --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/AI4Scientist/nano-scientist.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/vast-gpu .cursor/skills/vast-gpu && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "vast-gpu" agent skill from https://github.com/AI4Scientist/nano-scientist/tree/main/skills/vast-gpu into .cursor/skills/vast-gpu/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "vast-gpu", then confirm the skill loads.Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gemini skills install https://github.com/AI4Scientist/nano-scientist.git --path skills/vast-gpu--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add AI4Scientist/nano-scientist --skill vast-gpu -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install AI4Scientist/nano-scientist vast-gpu --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/AI4Scientist/nano-scientist.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/vast-gpu .gemini/skills/vast-gpu && rm -rf skills-srcUse ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.
Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/
Install the "vast-gpu" agent skill from https://github.com/AI4Scientist/nano-scientist/tree/main/skills/vast-gpu into .gemini/skills/vast-gpu/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "vast-gpu", then confirm the skill loads.Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gh skill install AI4Scientist/nano-scientist vast-gpuInstalls for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).
$ npx skills add AI4Scientist/nano-scientist --skill vast-gpu -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/AI4Scientist/nano-scientist.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/vast-gpu .github/skills/vast-gpu && rm -rf skills-srcUse ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.
GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/
Install the "vast-gpu" agent skill from https://github.com/AI4Scientist/nano-scientist/tree/main/skills/vast-gpu into .github/skills/vast-gpu/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "vast-gpu", then confirm the skill loads.GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add AI4Scientist/nano-scientist --skill vast-gpu -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install AI4Scientist/nano-scientist vast-gpu --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/AI4Scientist/nano-scientist.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/vast-gpu .opencode/skills/vast-gpu && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "vast-gpu" agent skill from https://github.com/AI4Scientist/nano-scientist/tree/main/skills/vast-gpu into .opencode/skills/vast-gpu/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "vast-gpu", then confirm the skill loads.OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
Facts
- Skill name
vast-gpu- GitHub stars
- 128
- Used in
- 4 other repos
- Token cost
- ~3.7k tokens
- SKILL.md length
- 1,305 words
- Files
- 1
- Skills in repo
- 75
- Repo updated
- First seen
- Licence
- None found
At a glance
Rent, manage, and destroy GPU instances on vast.ai. An agent skill from AI4Scientist/nano-scientist.
- Works in 3 steps: From the experiment plan… → From experiment scripts (if already… → From user description (if no…
- User says rent gpu
- SKILL.md covers Overview, State File, Workflow and Key Rules, plus 2 more sections
- Calls ssh, scp and rsync
What it does
Vast GPU is an agent skill from AI4Scientist/nano-scientist. 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.
Its SKILL.md is about 3.7k tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.
It sits in AI & LLM Engineering. It works with Python. The repository describes itself as: An autonomous research agent that turns a topic into a peer-reviewed technical report.
When your agent uses it
- User says rent gpu
- Needs on-demand GPU without owning hardware
Example prompts
- “rent gpu”
- “vast.ai”
- “rent a server”
- “/vast-gpu”
Requirements
- Python 3
- Docker
- A credential in YOUR_API_KEY
- Pre-approved tools (allowed-tools): Bash(*), Read, Write, Edit, Grep, Glob, Agent
Workflow steps
3 steps, taken from the first numbered list in SKILL.md.
- From the experiment plan (refine-logs/EXPERIMENT_PLAN.md)
- From experiment scripts (if already written)
- From user description (if no plan/scripts exist)
What it can do on your machine
Read from SKILL.md and the folder at commit 7132192. It shows what the files ask for, not the result of running them.
Tool permissions
Pre-approves these tools, so the agent can use them without asking each time:
Bash(*)ReadWriteEditGrepGlobAgent
From allowed-tools in the SKILL.md frontmatter.
Runs code
Shell commands in SKILL.md call:
sshscprsyncpipapt-getpython3pythoncondauv
From the folder's file list and the shell code blocks in SKILL.md.
Network
Links to these hosts (documentation or services it may open):
cloud.vast.ai
From URLs in SKILL.md, links to its own repository left out.
Credentials
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Context cost
Vast GPU loads about 3.7k tokens when it runs. Until then it costs about 45 tokens; SKILL.md has 1,305 words of instructions outside code blocks.
Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.
Safety
Auto-check: notes
The automated check noted patterns worth knowing about, such as sudo or a known installer.
- NotePre-approves every shell command (allowed-tools: Bash)SKILL.md
allowed-tools: Bash(*), Read, Write, Edit, Grep, Glob, Agent
Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.
SKILL.md
Without a licence we can't republish the file, so here is its outline and opening line. It has 1,305 words (~3,692 tokens).
- name
- vast-gpu
- allowed-tools
- Bash(*), Read, Write, Edit, Grep, Glob, Agent
- argument-hint
- task-description or action
Files
Just SKILL.md in skills/vast-gpu of AI4Scientist/nano-scientist.
Open the folder on GitHubat commit 7132192
Used in 4 other repositories
We found 8 copies of this SKILL.md (exact, near-identical or edited) in other folders, from 4 other GitHub owners. This page covers the copy in AI4Scientist/nano-scientist, which our catalogue first saw on October 7, 2026.
- OpenLAIR/dr-clawskills/aris-vast-gpu
- wanshuiyin/Auto-claude-code-research-in-sleepskills/vast-gpuskills/skills-codex/vast-gpu
- brycewang-stanford/Auto-Empirical-Research-Skillsskills/42-wanshuiyin-ARIS/skills/vast-gpu
- Tai609/NebulaMatruntime/skills-bundle/aris-vast-gpuruntime/aris/skills-nebulamat/aris-vast-gpu+1 more
Compare with similar skills
Vast GPU next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| Vast GPU this skillAI4Scientist/nano-scientist | 128 | 4 repos | ~3.7k | Automated safety check: Notes | None | |
| Segment Anything Model GuideOrchestra-Research/AI-Research-SKILLs | 13k | 9 repos | ~3.3k | Automated safety check: Pass | MIT | |
| Chroma Vector DatabaseOrchestra-Research/AI-Research-SKILLs | 13k | 8 repos | ~2.3k | Automated safety check: Pass | MIT | |
| CLIP Image-Text MatchingOrchestra-Research/AI-Research-SKILLs | 13k | 8 repos | ~1.7k | Automated safety check: Pass | MIT | |
| LLM Benchmarking with lm-evaluation-harnessOrchestra-Research/AI-Research-SKILLs | 13k | 8 repos | ~3k | Automated safety check: Pass | MIT | |
| Azure AI Projects Python SDKmicrosoft/skills | 3.1k | 6 repos | ~2.8k | Automated safety check: Pass | MIT |
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Questions about Vast GPU
What does Vast GPU do?
Rent, manage, and destroy GPU instances on vast.ai. An agent skill from AI4Scientist/nano-scientist. Vast GPU is an agent skill from AI4Scientist/nano-scientist.ai.
When should I use Vast GPU?
Vast GPU fits situations like: user says rent gpu; needs on-demand GPU without owning hardware.
How do I install Vast GPU in Claude Code?
Run `npx skills add AI4Scientist/nano-scientist --skill vast-gpu -a claude-code`. Or copy the skill folder (skills/vast-gpu in AI4Scientist/nano-scientist) into .claude/skills/vast-gpu in your project. Claude Code loads it when a task matches its description.
How do I install Vast GPU in Codex?
Run `npx skills add AI4Scientist/nano-scientist --skill vast-gpu -a codex`. Or copy the skill folder (skills/vast-gpu in AI4Scientist/nano-scientist) into .agents/skills/vast-gpu in your project. Codex loads it when a task matches its description.
Can I use Vast GPU in Cursor, Gemini CLI or GitHub Copilot?
Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add AI4Scientist/nano-scientist --skill vast-gpu -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/vast-gpu, .gemini/skills/vast-gpu, .github/skills/vast-gpu and .opencode/skills/vast-gpu in your project.
What does Vast GPU need to run?
Going by SKILL.md and its folder, Vast GPU needs the command-line tools its instructions call (ssh, scp, rsync, pip, apt-get and python3). Our summary lists: Python 3; Docker; A credential in YOUR_API_KEY. Its frontmatter pre-approves these tools: Bash(*), Read, Write, Edit, Grep, Glob, Agent.
Does Vast GPU access the network?
SKILL.md names 1 domain. As links in the text: cloud.vast.ai. This is read from the text; nothing was executed.
Is Vast GPU safe to install?
Our automated static check of SKILL.md found notes only (pre-approves every shell command (allowed-tools: bash)), nothing it rates as a warning. It is not a guarantee. Review the folder before installing.
What licence does Vast GPU use?
No licence was found for Vast GPU or its repository. Without one, default copyright applies: ask the author before reusing or redistributing it.
How many tokens does Vast GPU use?
About 3.7k tokens (SKILL.md is roughly 15k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.
What are the alternatives to Vast GPU?
Skills that share tags, products or a category with Vast GPU: Segment Anything Model Guide (Orchestra-Research/AI-Research-SKILLs, 13k stars), Chroma Vector Database (Orchestra-Research/AI-Research-SKILLs, 13k stars), CLIP Image-Text Matching (Orchestra-Research/AI-Research-SKILLs, 13k stars) and LLM Benchmarking with lm-evaluation-harness (Orchestra-Research/AI-Research-SKILLs, 13k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Vast GPU?
AI4Scientist (a GitHub organization) maintains it in AI4Scientist/nano-scientist, which has 128 GitHub stars. The repository holds 75 skills in this directory. The repository was last updated on June 3, 2026.
Source: AI4Scientist/nano-scientist on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.