codonfm-finetune SKILL.md skillA
This file is byte-identical to the first copy the registry indexed, one of 3 indexed copies. Same content hash, so the same checks give both the same grade.
codonfm-finetune from nvidia-bionemo/bionemo-agent-toolkit is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.
mdr add nvidia-bionemo/bionemo-agent-toolkit/codonfm-finetune@git:20261009.084a18cPins git:20261009.084a18c in mdr.lock. Pin the fingerprint instead.
- Audit grade
- A, 17 of 17 checks passed
- Kind
- SKILL.md skill
- Repository
- nvidia-bionemo/bionemo-agent-toolkit
- Path
skills/bionemo-agent-toolkit/skills/codonfm-finetune/SKILL.md- Versions recorded
- 1
- Latest version
- git:20261009.084a18c, committed Oct 9, 2026
- Size
- 9,666 bytes
- Repository stars
- 503
- License
- a license file GitHub does not identify
Fine-tune public CodonFM Encodon checkpoints on labeled coding-sequence or coding-variant data using LoRA, head-only, or full fine-tuning. Use when a user explicitly asks to fine-tune CodonFM or Encodon for regression or classification. Support generic public-v1 Encodon workflows only; reject Decodon, MissenseDataset, missense_synom_agg, and generation workflows.
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
# Fine-tune public Encodon Use `--pretrained_ckpt_path` for public v1. Do not substitute `--checkpoint_path`: the public runner does not forward that argument to the fine-tuning task. ## Instructions Resolve the target label, dataset, checkpoint, and output directory from the request and available files. Reuse existing data and weights. For training, check the project's ML dependencies and a compatible NVIDIA GPU before launch. If a required resource is unavailable, complete the available data preparation and return the command with the missing prerequisite clearly identified. When training is requested and the prerequisites are met, execute it and check the resulting checkpoints and metrics. A request for preparation ends with the validated inputs and command. Use the user's labeled dataset when provided. For a demonstration of sequence regression without a dataset, use the public human RiboNN translation-efficiency data below and state that choice. This is not a substitute for a user's intended assay or for labeled coding variants. If variant labels are missing, return the required schema and a command template promptly; do not search for labels or invent measured effects. …
Read the whole file at its exact version.
How to install
mdr add nvidia-bionemo/bionemo-agent-toolkit/codonfm-finetune@sha256:5b55cd9164cc5dc2The line at the top of this page pins the label git:20261009.084a18c, 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_tapm37ce77xofejx)
3 badge image fetches in 30 days. What the badge shows.
Versions
The registry has recorded 1 version of this file, committed on Oct 9, 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 (9666 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-bionemo/bionemo-agent-toolkit · 503 stars · license a license file GitHub does not identify · pushed 2026-11-05 · branch main
API
GET https://markdownregistry.com/api/v1/artifacts/art_tapm37ce77xofejx GET https://markdownregistry.com/api/v1/resolve?ref=nvidia-bionemo/bionemo-agent-toolkit/codonfm-finetune GET https://markdownregistry.com/api/v1/blob/5b55cd9164cc5dc27e9965b785bc827fc7e945f80d31e2a26a6c27aba1fa46a3
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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