Agent skill

Serverless Modal

by AI4Scientist in AI4Scientist/nano-scientist

Run GPU workloads on Modal — training, fine-tuning, inference, batch processing.

No licenceAuto-check: notesBackend & APIs

Install Serverless Modal

skills CLI

$ npx skills add AI4Scientist/nano-scientist --skill serverless-modal -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI

$ gh skill install AI4Scientist/nano-scientist serverless-modal --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy

$ git clone --depth 1 https://github.com/AI4Scientist/nano-scientist.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/serverless-modal .claude/skills/serverless-modal && rm -rf skills-src

Use ~/.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/

Paste into Claude Code

Install the "serverless-modal" agent skill from https://github.com/AI4Scientist/nano-scientist/tree/main/skills/serverless-modal into .claude/skills/serverless-modal/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "serverless-modal", 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

$skill-installer install https://github.com/AI4Scientist/nano-scientist/tree/main/skills/serverless-modal

Type 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.

skills CLI

$ npx skills add AI4Scientist/nano-scientist --skill serverless-modal -a codex

Project install goes to .agents/skills/; add -g for ~/.codex/skills/.

GitHub CLI

$ gh skill install AI4Scientist/nano-scientist serverless-modal --agent codex

Project scope by default (.agents/skills/); add --scope user for a personal install.

Manual copy

$ git clone --depth 1 https://github.com/AI4Scientist/nano-scientist.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/serverless-modal .agents/skills/serverless-modal && rm -rf skills-src

Use ~/.agents/skills/ instead of .agents/skills for a personal install.

Codex skills documentation · loads skills from .agents/skills/

Paste into Codex

Install the "serverless-modal" agent skill from https://github.com/AI4Scientist/nano-scientist/tree/main/skills/serverless-modal into .agents/skills/serverless-modal/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "serverless-modal", 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.

skills CLI

$ npx skills add AI4Scientist/nano-scientist --skill serverless-modal -a cursor

Project install goes to .agents/skills/; add -g for ~/.cursor/skills/.

GitHub CLI

$ gh skill install AI4Scientist/nano-scientist serverless-modal --agent cursor

Project scope by default (.agents/skills/); add --scope user for a personal install.

Manual copy

$ git clone --depth 1 https://github.com/AI4Scientist/nano-scientist.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/serverless-modal .cursor/skills/serverless-modal && rm -rf skills-src

Use ~/.cursor/skills/ instead of .cursor/skills for a personal install.

Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/

Paste into Cursor

Install the "serverless-modal" agent skill from https://github.com/AI4Scientist/nano-scientist/tree/main/skills/serverless-modal into .cursor/skills/serverless-modal/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "serverless-modal", 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

$ gemini skills install https://github.com/AI4Scientist/nano-scientist.git --path skills/serverless-modal

--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.

skills CLI

$ npx skills add AI4Scientist/nano-scientist --skill serverless-modal -a gemini-cli

Project install goes to .agents/skills/; add -g for ~/.gemini/skills/.

GitHub CLI

$ gh skill install AI4Scientist/nano-scientist serverless-modal --agent gemini-cli

Project scope by default (.agents/skills/); add --scope user for a personal install.

Manual copy

$ git clone --depth 1 https://github.com/AI4Scientist/nano-scientist.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/serverless-modal .gemini/skills/serverless-modal && rm -rf skills-src

Use ~/.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/

Paste into Gemini CLI

Install the "serverless-modal" agent skill from https://github.com/AI4Scientist/nano-scientist/tree/main/skills/serverless-modal into .gemini/skills/serverless-modal/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "serverless-modal", 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.

GitHub CLI

$ gh skill install AI4Scientist/nano-scientist serverless-modal

Installs 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).

skills CLI

$ npx skills add AI4Scientist/nano-scientist --skill serverless-modal -a github-copilot

Project install goes to .agents/skills/; add -g for ~/.copilot/skills/.

Manual copy

$ git clone --depth 1 https://github.com/AI4Scientist/nano-scientist.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/serverless-modal .github/skills/serverless-modal && rm -rf skills-src

Use ~/.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/

Paste into GitHub Copilot

Install the "serverless-modal" agent skill from https://github.com/AI4Scientist/nano-scientist/tree/main/skills/serverless-modal into .github/skills/serverless-modal/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "serverless-modal", 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.

skills CLI

$ npx skills add AI4Scientist/nano-scientist --skill serverless-modal -a opencode

OpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.

GitHub CLI

$ gh skill install AI4Scientist/nano-scientist serverless-modal --agent opencode

Project scope by default (.agents/skills/); add --scope user for a personal install.

Manual copy

$ git clone --depth 1 https://github.com/AI4Scientist/nano-scientist.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/serverless-modal .opencode/skills/serverless-modal && rm -rf skills-src

Use ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.

OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/

Paste into OpenCode

Install the "serverless-modal" agent skill from https://github.com/AI4Scientist/nano-scientist/tree/main/skills/serverless-modal into .opencode/skills/serverless-modal/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "serverless-modal", 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: serverless-modal
GitHub stars: 128
Used in: 4 other repos
Token cost: ~3.1k tokens
SKILL.md length: 825 words
Files: 1
Skills in repo: 76
Repo updated: Jun 3, 2026
First seen: Oct 7, 2026
Licence: None found

At a glance

Run GPU workloads on Modal — training, fine-tuning, inference, batch processing.

Works in 6 steps: Analyze Task → Estimate Cost → Choose GPU → Generate Modal Launcher → Run → …
User says modal run
SKILL.md covers Overview, Authentication, Pricing (source:… and !! Cost Estimation Required !!, plus 6 more sections
Calls modal and pip; needs HF_TOKEN

What it does

Serverless Modal is an agent skill from AI4Scientist/nano-scientist. Run GPU workloads on Modal — training, fine-tuning, inference, batch processing. Zero-config serverless: no SSH, no Docker, auto scale-to-zero. Use when user says "modal run", "modal training", "modal inference", "deploy to modal", "need a GPU", "run on modal", "serverless GPU", or needs remote GPU compute.

Its SKILL.md is about 3.1k 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 Backend & APIs, covering Serverless, GPU and accelerator computing and Data pipelines and ETL. It works with Docker. 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 modal run
Modal inference
Deploy to modal
Needs remote GPU compute

Example prompts

“modal run”
“modal training”
“modal inference”
“/serverless-modal”

Requirements

Python 3
Docker
Pre-approved tools (allowed-tools): Bash(*), Read, Grep, Glob, Edit, Write, Agent

Workflow steps

6 steps, taken from the step headings in SKILL.md.

Analyze Task → Estimate Cost → Choose GPU
Generate Modal Launcher
Run
Verify & Monitor
Collect Results
Cleanup

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(*)
- Read
- Grep
- Glob
- Edit
- Write
- Agent
From allowed-tools in the SKILL.md frontmatter.
Runs code
Shell commands in SKILL.md call:
- modal
- pip
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):
- modal.com
From URLs in SKILL.md, links to its own repository left out.
Credentials
Names these keys or tokens, usually read from environment variables:
- HF_TOKEN
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Serverless Modal loads about 3.1k tokens when it runs. Until then it costs about 81 tokens; SKILL.md has 825 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it: ~81
When it runs · the whole SKILL.md, loaded when a task matches: ~3.1k

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, Grep, Glob, Edit, Write, 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 825 words (~3,101 tokens).

name: serverless-modal
allowed-tools: Bash(*), Read, Grep, Glob, Edit, Write, Agent
argument-hint: task-description

Read the full SKILL.md on GitHub

Files

Just SKILL.md in skills/serverless-modal of AI4Scientist/nano-scientist.

Open the folder on GitHubat commit 7132192

Used in 4 other repositories

We found 11 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.

Compare with similar skills

Serverless Modal 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.

Serverless Modal compared with similar skills
Skill	Stars	Used in	Tokens	Auto-check	Licence	Repo updated
Serverless Modal this skillAI4Scientist/nano-scientist	128	4 repos	~3.1k	Automated safety check: Notes	None	4 mo ago
Runpodericrisco/rsc-harness	156	—	~2.8k	Automated safety check: Pass	MIT	today
ModalK-Dense-AI/scientific-agent-skills	48k	1 repos	~4.5k	Automated safety check: Notes	Apache-2.0	2 days ago
ModalBioTender-max/awesome-bio-agent-skills	197	—	~3.1k	Automated safety check: Notes	Apache-2.0	3 mo ago
Finetuningawslabs/agent-plugins	912	1 repos	~2.3k	Automated safety check: Pass	Apache-2.0	yesterday
Model Deploymentawslabs/agent-plugins	912	1 repos	~1.5k	Automated safety check: Pass	Apache-2.0	yesterday

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Paper Figure
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Generate publication-quality figures and tables from experiment results.
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Proof Writer
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Writes rigorous mathematical proofs for ML/AI theory. An agent skill from AI4Scientist/nano-scientist.
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Ablation Planner
AI4Scientist/nano-scientist
A skill your agent uses when main results pass result-to-claim (claimsupported=yes or partial) and ablation studies are needed for paper submission.
128 GitHub starsUsed in 5 repos~1.3k tokens
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Paper Navigator
AI4Scientist/nano-scientist
Find and read academic papers: disambiguate queries, discover papers (search, citation traversal, recommendations, arXiv monitoring, trending, GitHub search), evaluate (TLDR, citations, code, SOTA)…
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Arxiv
AI4Scientist/nano-scientist
Search, download, and summarize academic papers from arXiv. An agent skill from AI4Scientist/nano-scientist.
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Works with

Docker

Questions about Serverless Modal

What does Serverless Modal do?

Run GPU workloads on Modal — training, fine-tuning, inference, batch processing. Serverless Modal is an agent skill from AI4Scientist/nano-scientist. Run GPU workloads on Modal — training, fine-tuning, inference, batch processing.

When should I use Serverless Modal?

Serverless Modal fits situations like: user says modal run; modal inference; deploy to modal; needs remote GPU compute.

How do I install Serverless Modal in Claude Code?

Run `npx skills add AI4Scientist/nano-scientist --skill serverless-modal -a claude-code`. Or copy the skill folder (skills/serverless-modal in AI4Scientist/nano-scientist) into .claude/skills/serverless-modal in your project. Claude Code loads it when a task matches its description.

How do I install Serverless Modal in Codex?

Run `npx skills add AI4Scientist/nano-scientist --skill serverless-modal -a codex`. Or copy the skill folder (skills/serverless-modal in AI4Scientist/nano-scientist) into .agents/skills/serverless-modal in your project. Codex loads it when a task matches its description.

Can I use Serverless Modal 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 serverless-modal -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/serverless-modal, .gemini/skills/serverless-modal, .github/skills/serverless-modal and .opencode/skills/serverless-modal in your project.

What does Serverless Modal need to run?

Going by SKILL.md and its folder, Serverless Modal needs the command-line tools its instructions call (modal and pip) and credentials named HF_TOKEN. Our summary lists: Python 3; Docker. Its frontmatter pre-approves these tools: Bash(*), Read, Grep, Glob, Edit, Write, Agent.

Does Serverless Modal access the network?

SKILL.md names 1 domain. As links in the text: modal.com. This is read from the text; nothing was executed.

Is Serverless Modal 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 Serverless Modal use?

No licence was found for Serverless Modal or its repository. Without one, default copyright applies: ask the author before reusing or redistributing it.

How many tokens does Serverless Modal use?

About 3.1k tokens (SKILL.md is roughly 12k 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 Serverless Modal?

Skills that share tags, products or a category with Serverless Modal: Runpod (ericrisco/rsc-harness, 156 stars), Modal (K-Dense-AI/scientific-agent-skills, 48k stars), Modal (BioTender-max/awesome-bio-agent-skills, 197 stars) and Finetuning (awslabs/agent-plugins, 912 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Serverless Modal?

AI4Scientist (a GitHub organization) maintains it in AI4Scientist/nano-scientist, which has 128 GitHub stars. The repository holds 76 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.

Install Serverless Modal

Facts

At a glance

What it does

When your agent uses it

Example prompts

Requirements

Workflow steps

What it can do on your machine

Tool permissions

Runs code

Network

Credentials

Context cost

Safety

SKILL.md

Files

Used in 4 other repositories

Compare with similar skills

Similar skills

More from AI4Scientist/nano-scientist

Related

Questions about Serverless Modal