serverless-modal SKILL.md skillA
serverless-modal from wanshuiyin/auto-claude-code-research-in-sleep is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.
mdr add wanshuiyin/auto-claude-code-research-in-sleep/serverless-modal@git:20260713.e67ae16Pins git:20260713.e67ae16 in mdr.lock. Pin the fingerprint instead.
- Audit grade
- A, 17 of 17 checks passed
- Kind
- SKILL.md skill
- Repository
- wanshuiyin/auto-claude-code-research-in-sleep
- Path
skills/skills-codex/serverless-modal/SKILL.md- Versions recorded
- 5
- Latest version
- git:20260713.e67ae16, committed Jul 13, 2026
- First version recorded
- May 29, 2026
- Size
- 13,169 bytes
- Repository stars
- 18,690
- License
- MIT
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.
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 Cloud GPU — Training & Inference Task: $ARGUMENTS ## Overview **Modal** is a serverless GPU cloud. Key advantages over SSH-based platforms (vast.ai, remote servers): - **Zero config**: no SSH, no Docker, no port forwarding. Write Python → `modal run` → done. - **Auto scale-to-zero**: billing stops the instant your code finishes. No idle instances. - **Local-first**: run `modal run` from your laptop. Code, data, and results stay local; only the GPU function runs remotely. - **Reproducible environments**: dependencies declared in code via `modal.Image`, not system-level packages. Treat the `modal.Image` chain as the RENDERED form of the declarative env spec in `../shared-references/compute-env-contract.md` — same spec fields (base, ordered pip phases, env vars, smoke probes), same `env:<name>@<specHash>` ledger entry in `.aris/compute/modal.md`, same three-tier validation before a long run. **Best for**: Users without a local GPU who need to debug CUDA code, run small-scale tests, or iterate quickly on experiments. The $5 free tier (no card) is enough for code debugging; $30 (with card) covers most small-scale experiment runs. …
Read the whole file at its exact version.
How to install
mdr add wanshuiyin/auto-claude-code-research-in-sleep/serverless-modal@sha256:a57ba889e70f4108The line at the top of this page pins the label git:20260713.e67ae16, 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_4rhfae4q5nkqwhko)
5 badge image fetches in 30 days. What the badge shows.
Versions
The registry has recorded 5 versions of this file, between May 29, 2026 and Jul 13, 2026, about one every 11 days.
| version | committed | commit | size | audit | |
|---|---|---|---|---|---|
| git:20260713.e67ae16 latest | 2026-07-13 | e67ae16 | 13,169 B | A | view · diff |
| git:20260702.569dd51 | 2026-07-02 | 569dd51 | 12,769 B | A | view · diff |
| git:20260702.82076e5 | 2026-07-02 | 82076e5 | 13,167 B | A | view · diff |
| git:20260702.df77da1 | 2026-07-02 | df77da1 | 13,088 B | A | view · diff |
| git:20260529.e513263 | 2026-05-29 | e513263 | 12,442 B | A | view |
Audit of the latest version
- pass: Frontmatter block present
- pass: Frontmatter declares a name
- pass: Frontmatter declares a description
- pass: Size between 200 bytes and 200 KB (13169 bytes)
- 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
- pass: No recursive delete of root, home or parent
- pass: No instruction to read or print local credentials
- pass: No base64 blob over 200 characters
- pass: No link to a raw IP address
- pass: No script tag
Source
wanshuiyin/auto-claude-code-research-in-sleep · 18,690 stars · license MIT · pushed 2026-11-03 · branch main
API
GET https://markdownregistry.com/api/v1/artifacts/art_4rhfae4q5nkqwhko GET https://markdownregistry.com/api/v1/resolve?ref=wanshuiyin/auto-claude-code-research-in-sleep/serverless-modal GET https://markdownregistry.com/api/v1/blob/a57ba889e70f4108f1b1427e1b352ca892918f6216eb2678289b3d829a9d7325
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.
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