modal SKILL.md skillA
modal from k-dense-ai/scientific-agent-skills is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.
mdr add k-dense-ai/scientific-agent-skills/modal@v1.5Pins v1.5 in mdr.lock. Pin the fingerprint instead.
- Audit grade
- A, 17 of 17 checks passed
- Kind
- SKILL.md skill
- Repository
- k-dense-ai/scientific-agent-skills
- Path
skills/modal/SKILL.md- Versions recorded
- 7
- Latest version
- v1.5, committed Oct 1, 2026
- First version recorded
- May 28, 2026
- Size
- 18,015 bytes
- Repository stars
- 53,159
- License
- MIT
Modal is a serverless cloud platform for running Python on demand, including on-demand GPUs. Use when deploying or serving AI/ML models, running GPU-accelerated workloads (training, fine-tuning, inference), serving web endpoints, scheduling batch jobs, or scaling Python code to cloud containers with the Modal SDK.
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 ## Overview Modal is a cloud platform for running Python code serverlessly, with a focus on AI/ML workloads. Key capabilities: - **GPU compute** on demand (including H100, H200, B200 and B300) - **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 - **Container reuse** and warm pools to reduce cold starts (model loading still takes time) Modal Apps and Images are defined in Python; existing Dockerfiles are also 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 …
Read the whole file at its exact version.
How to install
mdr add k-dense-ai/scientific-agent-skills/modal@sha256:5da5d0a39db4ea5fThe line at the top of this page pins the label v1.5, 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_3d4nlozzlzawhhre)
5 badge image fetches in 30 days. What the badge shows.
Versions
The registry has recorded 7 versions of this file, between May 28, 2026 and Oct 1, 2026, about one every 21 days. Its first recorded version is graded F and its latest A.
| version | committed | commit | size | audit | |
|---|---|---|---|---|---|
| v1.5 latest | 2026-10-01 | a92663a | 18,015 B | A | view · diff |
| v1.4 | 2026-09-30 | ce9e6e9 | 16,813 B | F | view · diff |
| v1.3 | 2026-09-02 | 1e5eeff | 16,382 B | F | view · diff |
| v1.2 | 2026-07-26 | b085e11 | 15,424 B | F | view · diff |
| git:20260611.c1150bd | 2026-06-11 | c1150bd | 15,765 B | F | view · diff |
| git:20260611.1b8fae3 | 2026-06-11 | 1b8fae3 | 15,422 B | F | view · diff |
| v1.1 | 2026-05-28 | f401d0e | 15,123 B | F | 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 (18015 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
k-dense-ai/scientific-agent-skills · 53,159 stars · license MIT · pushed 2026-10-19 · branch main
API
GET https://markdownregistry.com/api/v1/artifacts/art_3d4nlozzlzawhhre GET https://markdownregistry.com/api/v1/resolve?ref=k-dense-ai/scientific-agent-skills/modal GET https://markdownregistry.com/api/v1/blob/5da5d0a39db4ea5f429ffc40772bbce87e26f778fac363c42873ca6bb84fecd9
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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