foryourhealth111-pixel/modal-labs
bundled/skills/modal-labs/SKILL.md
Modal Labs (modal.com) — run Python on serverless containers with GPUs, batch jobs, and autoscaling. Precision wrapper to avoid confusion with UI “modal dialogs”.
$ install --global
skillsauthnpx skillsauth add foryourhealth111-pixel/vco-skills-codex modal-labsInstall this skill globally with one command. Works with Claude Code, Cursor, and Windsurf.
Security Scan Results
3 of 9 scanners reported clean
Some scanners were skipped, did not run, or reported a non-clean status. Review each row below.
3
Scanners Passed
9
Scanners in report
Clean
TrivyContainer and dependency vulnerability scanner
95%
Clean
SemgrepStatic code analysis for vulnerabilities
95%
Clean
mcp-scan (Snyk)Model Context Protocol security validation
95%
Skipped
Snyk (dep)Open source security scanning
50%
Skipped
Socket.devSupply chain security analysis
50%
Skipped
VirusTotalMulti-engine malware detection
50%
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CrowdStrikeAdvanced threat intelligence
50%
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OSV-ScannerOpen Source Vulnerability database check
50%
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OWASP Dep-Check
50%
Last scanned: Apr 13, 2026, 5:05 AM120.3s1 file scanned
SKILL.md
- name:
- modal-labs
- description:
- Modal Labs (modal.com) — run Python on serverless containers with GPUs, batch jobs, and autoscaling. Precision wrapper to avoid confusion with UI “modal dialogs”.
- license:
- Apache-2.0 license
- skill-author:
- Local wrapper (VCO)
- upstream-skill:
- modal
- routing-notes:
- Prefer this skill over `modal` for auto-routing; reserve `modal` for explicit calls to avoid UI ambiguity.
Modal Labs (modal.com)
Overview
This is a precision wrapper for the upstream modal skill (Modal Labs, modal.com). It exists because “modal” is also a common term for UI dialogs (React/Vue/AntD/etc.).
Use this skill only when the user clearly means Modal Labs (modal.com).
When to Use
Route here when prompts mention one or more of:
modal.com/ “Modal Labs”- CLI verbs:
modal run,modal deploy,modal serve - serverless containers for Python, batch jobs, autoscaling
- GPU workloads (inference, training, rendering) in a serverless setup
Do not use this skill for UI “modal dialog” tasks.
Setup (CLI)
# Install
uv uv pip install modal
# Login (writes token to ~/.modal.toml)
modal token new
Minimal Example
import modal
app = modal.App("hello-modal")
@app.function()
def hello():
return "hello from Modal"
@app.local_entrypoint()
def main():
print(hello.remote())
Run:
modal run script.py
Next Actions (choose based on intent)
- One-off run:
modal run - Long-running endpoint:
modal deploy/modal serve - GPU function: add
@app.function(gpu="H100")(or another GPU type)
If you need deeper patterns (images, volumes, secrets, web endpoints), follow the upstream modal skill guidance.
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