kermt-setup SKILL.md skillA
kermt-setup from nvidia/skills is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.
mdr add nvidia/skills/kermt-setup@git:20260915.2cd3507Pins git:20260915.2cd3507 in mdr.lock. Pin the fingerprint instead.
- Audit grade
- A, 17 of 17 checks passed
- Kind
- SKILL.md skill
- Repository
- nvidia/skills
- Path
skills/bionemo-kermt-setup/SKILL.md- Versions recorded
- 1
- Latest version
- git:20260915.2cd3507, committed Sep 15, 2026
- Size
- 6,701 bytes
- Repository stars
- 3,871
- License
- Apache-2.0
Bootstrap the KERMT agent environment — verify host docker + nvidia-container-toolkit, build the kermt:latest image from the repo's Dockerfile if it doesn't yet exist, and run a GPU smoke test inside the container. Every other kermt-* skill depends on this; invoke it first.
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
# kermt-setup
Bootstrap the KERMT agent environment. Run this once on a fresh machine (or
after the Dockerfile or `environment.yml` changes) before invoking any other
`kermt-*` skill.
## Skill and runtime paths
Set `SKILL_DIR` to the absolute path of this installed skill directory. Export
`KERMT_REPO` as the absolute path to the KERMT checkout used for model
execution. The bundled container helper mounts that checkout at
`/workspace` and this skill at `/skill` (read-only). Commands inside
the container use `/skill/scripts/`.
## Hardware requirements
- **GPU**: at least one CUDA-capable NVIDIA GPU visible to the host. The image
is based on `nvidia/cuda:12.6.3-cudnn-devel-ubuntu22.04`, so the host driver
must support CUDA 12.6. Verify with host `nvidia-smi` before invoking.
- **Host docker**: docker engine + nvidia-container-toolkit. Without the
toolkit, `docker run --gpus all` will fail at step 2 of the workflow below.
- **Disk**: ≈ 50 GB free for the built kermt image (`docker image inspect
--format '{{.Size}}'` reports ≈ 44 GB; the `docker images` Size column
can show ~100 GB because it counts shareable buildx attestation layers
…Read the whole file at its exact version.
How to install
mdr add nvidia/skills/kermt-setup@sha256:7f6e39f655eab548The line at the top of this page pins the label git:20260915.2cd3507, 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_5kydyrej3l3jllbt)
4 badge image fetches in 30 days. What the badge shows.
Versions
The registry has recorded 1 version of this file, committed on Sep 15, 2026.
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 (6701 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
nvidia/skills · 3,871 stars · license Apache-2.0 · pushed 2026-11-05 · branch main
API
GET https://markdownregistry.com/api/v1/artifacts/art_5kydyrej3l3jllbt GET https://markdownregistry.com/api/v1/resolve?ref=nvidia/skills/kermt-setup GET https://markdownregistry.com/api/v1/blob/7f6e39f655eab54853f80038cd0c83a8effec8f44260d0838c9e53b046c6a0f9
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.