agentmods.dev

modal

modal is a skill for Claude Code, Codex from dralkh/seerai. It costs 65 tokens per session (3,882 once invoked), scanned A, a copy of modal, MIT.

A cloud service for running Python code when needed, including jobs that use graphics processors (GPUs). It can run machine-learning models, web endpoints, scheduled tasks, and parallel batch work without managing servers directly.

In plain words
What is it for?
Use it to train, fine-tune, or serve AI models; run GPU-heavy calculations; expose Python code as web APIs; process batches in parallel; and schedule recurring jobs.
Why use it?
It removes much of the work of setting up and scaling cloud machines for Python workloads. It can provide computing resources only when jobs need them and store model files or datasets between runs.

Skill for Claude CodeCodex

Which agent this was written for is unclear — built for openclaw. Also seen: built for openclaw.

not rated 94repo +3 21d ago A scan 65 tokens copy · 88% MIT

Good fit Use it to train, fine-tune, or serve AI models; run GPU-heavy calculations; expose Python code as web APIs; process batches in parallel; and schedule recurring jobs.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/dralkh/seerai/modal
View source ↗ dralkh/seerai
Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

Any agent
npx skills add dralkh/seerai --skill modal
Clone the repo
git clone --depth 1 https://github.com/dralkh/seerai

Made for: Claude Code, Codex.

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

agentmods badge for modal

README.md
[![agentmods](https://agentmods.dev/badge/skills/dralkh/seerai/modal/github.svg)](https://agentmods.dev/skills/dralkh/seerai/modal)
Your own site
<a href="https://agentmods.dev/skills/dralkh/seerai/modal"><img src="https://agentmods.dev/badge/skills/dralkh/seerai/modal/github.svg" alt="Measured on agentmods" height="20"></a>

Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.

agentmods 80×15 button for modal

Your own site · 80×15
<a href="https://agentmods.dev/skills/dralkh/seerai/modal"><img src="https://agentmods.dev/badge/skills/dralkh/seerai/modal.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 65 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 3,882 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 1 finding. A grade says what 26 rules found in the file — not that it is safe.
Origin 88% copy Near-identical to another mod in the catalogue.
Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

ModelPer sessionOnce invoked
Fable 5.1 $0.00065 $0.03882
Opus 5.5 $0.00026 $0.01553
Sonnet 5.5 $0.00013 $0.00776
Haiku 4.5 $0.00006 $0.00388

Measured 1mo ago against content hash 4453911c5899, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

modal scanned grade A with 1 finding against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 1mo ago.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Runs shell commandslowCapability

Expected in a hook, worth knowing in a rule or an instructions file.

- **Subprocess / custom servers:** Some patterns here (multi-GPU training launchers, `@modal.web_server` apps) call `subprocess.run`/`subprocess.Popen` or shell commands during builds. Keep argument lists fixed and hardc
Origin

This is a copy

88% identical to modal — 140 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.

skills/modal/SKILL.md · 457 lines

How it starts

The opening of the file, as written. The whole thing — 457 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Overview

Modal is a cloud platform for running Python code serverlessly, with a focus on AI/ML workloads. Key capabilities:

  • GPU compute on demand (T4, L4, A10, L40S, A100, H100, H200, B200)
  • Serverless functions with autoscaling from zero to thousands of containers
  • Custom container images built entirely in Python code
  • Persistent storage via Volumes for model weights and datasets
  • Web endpoints for serving models and APIs
  • Scheduled jobs via cron or fixed intervals
  • Sub-second cold starts for low-latency inference

Everything in Modal is defined as code — no YAML, no Dockerfiles required (though both are supported).

When to Use This Skill

Use this skill when:

  • Deploy or serve AI/ML models in the cloud
  • Run GPU-accelerated computations (training, inference, fine-tuning)
  • Create serverless web APIs or endpoints
  • Scale batch processing jobs in parallel
  • Schedule recurring tasks (data pipelines, retraining, scraping)
  • Need persistent cloud storage for model weights or datasets
  • Want to run code in custom container environments
  • Build job queues or async task processing systems

Installation and Authentication

Install

uv pip install modal

The Modal Python SDK supports Python 3.10–3.14. This skill targets the stable modal>=1.0 API (current release: 1.4.x).

Authenticate

Prefer existing credentials before creating new ones. Only the two Modal-specific variables below are relevant — do not read, load, or expose any other environment variables or .env file contents:

  1. Check whether MODAL_TOKEN_ID and MODAL_TOKEN_SECRET are already set in the current environment.
  2. If not, look up only those two keys in a local .env file (ignore all other entries) and load them if appropriate for the workflow.
  3. Only fall back to interactive modal setup or generating fresh tokens if neither source already provides those two values.
modal setup

This opens a browser for authentication. For CI/CD or headless environments, use environment variables:

Read the full file on GitHub · 457 lines

Files

What ships with it

12 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

  1. 1mo ago First seen · 457 lines · 65 tokens per session scan A 4453911c5899

Subscribe to this mod's changes

modal is a skill published in the GitHub repository dralkh/seerai (94 stars, last pushed 21d ago), licensed MIT. It adds 65 tokens to every session and 3,882 once invoked, about $0.0003 per session on Opus 5.5. A static security scan graded it A with 1 finding (runs shell commands). It is 88% identical to modal, differing in 140 lines, and is treated as a copy.

CloudData and AIDevOps and cloudResearchZoteroagentaimcpzotero-plugin
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