modal-compute SKILL.md skillA
modal-compute from yichen-zju/claude-for-research is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.
mdr add yichen-zju/claude-for-research/modal-compute@git:20261014.9f2a5e0Pins git:20261014.9f2a5e0 in mdr.lock. Pin the fingerprint instead.
- Audit grade
- A, 17 of 17 checks passed
- Kind
- SKILL.md skill
- Repository
- yichen-zju/claude-for-research
- Path
claude/skills/modal-compute/SKILL.md- Versions recorded
- 1
- Latest version
- git:20261014.9f2a5e0, committed Oct 14, 2026
- Size
- 1,535 bytes
- Repository stars
- 10
- License
- none declared
Run explicitly chosen research benchmark or replication jobs on Modal's serverless infrastructure. Use when a research workflow needs burst remote GPU compute and the Modal CLI is available.
Collected from public GitHub. Every version is saved exactly as it was and never changes. Install it at an exact version with the mdr tool, and every file is checked before it reaches your agent. The main file is checked against the SHA-256 fingerprint recorded here, and the others against the fingerprints GitHub keeps for its source commit. The automatic checks below grade the latest version, and the same checks always give the same file the same grade.
What the file says
# Modal Compute
Use the `modal` CLI for bounded research experiments that need burst GPU compute. No pod lifecycle to manage; write a decorated Python script, run it, and save raw outputs back into the research artifact folder. Do not use this skill to deploy services or unrelated batch jobs.
## Setup
```bash
pip install modal
modal setup
```
## Commands
| Command | Description |
|---------|-------------|
| `modal run script.py` | Run one research experiment script on Modal |
| `modal run --detach script.py` | Run a long research experiment and record the returned app/run identifier |
| `modal shell --gpu a100` | Open an interactive GPU shell for research environment debugging |
## GPU types
`T4`, `L4`, `A10G`, `L40S`, `A100`, `A100-80GB`, `H100`, `H200`, `B200`
Multi-GPU: `"H100:4"` for 4x H100s.
## Script pattern
```python
import modal
app = modal.App("experiment")
image = modal.Image.debian_slim(python_version="3.11").pip_install("torch==2.8.0")
@app.function(gpu="A100", image=image, timeout=600)
def train():
import torch
# training code here
@app.local_entrypoint()
def main():
train.remote()
```
## When to use
…Read the whole file at its exact version.
How to install
mdr add yichen-zju/claude-for-research/modal-compute@sha256:c6db4963f304637bThe line at the top of this page pins the label git:20261014.9f2a5e0, which is what most people want. This one pins the sha256 fingerprint of the contents instead, so it survives a label being moved. Either way the exact version is written to mdr.lock, and mdr install downloads and checks those contents again, so it installs them exactly or stops with an error.
[](https://markdownregistry.com/a/art_ttzp2md72ycgkvu6)
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Versions
The registry has recorded 1 version of this file, committed on Oct 14, 2026.
Audit of the latest version
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- pass: No zero-width or bidi control characters
- pass: No instruction hidden inside an HTML comment
- pass: No link to an exfiltration or paste host
- pass: No credential-shaped string
- pass: No instruction to send local credentials anywhere
- pass: No text hidden with inline styles
- pass: No prompt-injection phrasing
- pass: No curl or wget piped into a shell
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- pass: No script tag
Source
yichen-zju/claude-for-research · 10 stars · license none declared · pushed 2026-10-21 · branch main
API
GET https://markdownregistry.com/api/v1/artifacts/art_ttzp2md72ycgkvu6 GET https://markdownregistry.com/api/v1/resolve?ref=yichen-zju/claude-for-research/modal-compute GET https://markdownregistry.com/api/v1/blob/c6db4963f304637b8755aa77fbbf9a7620beb82464cadf2918253e53230b4200
Your AI assistant does the legwork. You hear about the deals worth your word. Hand yours the standing instructions at modelranch.com and it joins the network that reads files like this one.
Guides: the SKILL.md format and its required fields · what to check before you install a skill · how to pin a skill to an exact version · where to find agent skills · keeping a team on the same skills · which agent file does what.