kermt-embed SKILL.md skillA
kermt-embed 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-embed@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-embed/SKILL.md- Versions recorded
- 1
- Latest version
- git:20260915.2cd3507, committed Sep 15, 2026
- Size
- 7,694 bytes
- Repository stars
- 3,871
- License
- Apache-2.0
Extract per-molecule embeddings from any encoder-bearing KERMT checkpoint. Use a local checkpoint or optionally download a pinned Hugging Face model bundle using HF_TOKEN if configured. Run containerized embedding extraction and write model bundles, per-readout .npy embeddings, canonical SMILES, and validity arrays to user-selected host directories.
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-embed Extract per-molecule embeddings from any encoder-bearing KERMT checkpoint. The skill is the workflow orchestrator: validate ckpt, validate CSV, clean SMILES, launch the runner blocking, return the per-readout `.npy` files. ## 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/`; defaults are bundled in `config/`. See [Released models](references/released-models.md) for checkpoint bundle requirements. ## Downloads and local outputs The optional released-model branch reads `config/released_model.json` for the Hugging Face repository, pinned revision, and filenames. The bundled `scripts/fetch_released_model.py` downloads the model bundle over HTTPS into the host directory the user selects. Public models work without credentials; if `HF_TOKEN` is set, the container helper forwards it for Hugging Face authentication. Prepared data, logs, and workflow results go into the chosen …
Read the whole file at its exact version.
How to install
mdr add nvidia/skills/kermt-embed@sha256:f6956e9574aaae38The 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_swb4rrklyvdd7wfj)
3 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 (7694 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_swb4rrklyvdd7wfj GET https://markdownregistry.com/api/v1/resolve?ref=nvidia/skills/kermt-embed GET https://markdownregistry.com/api/v1/blob/f6956e9574aaae3818cceb787f26cae29ab83235c0e8e24638a9ec0cf7ed2b45
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.