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Agent Skill

Kermt Add Cmim Pretrain skill

kermt-add-cmim-pretrainNVIDIA/skillsskills/bionemo-kermt-add-cmim-pretrain/SKILL.md

Convert a grover_base checkpoint (encoder-only or encoder + vocab heads) into a hybrid checkpoint by adding a randomly-initialized cMIM decoder + latent_dist, then continue pretraining on the user's corpus as hybrid (vocab + contrast). Effectively kermt-continue-pretrain with a one-time ckpt-conversion step prepended.

3.7kApache-2.0

always on

81 tokname + description

once used

2,072 tokSKILL.md body

bundled files

127 scripts

repo stars

3.7kGitHub

Install the Kermt Add Cmim Pretrain skill

Skills CLI (Claude Code, Codex, Cursor and others)

npx skills add https://github.com/NVIDIA/skills --skill kermt-add-cmim-pretrain

Claude Code, by hand (all projects)

git clone --depth 1 https://github.com/NVIDIA/skills.git /tmp/skills
mkdir -p ~/.claude/skills
cp -R /tmp/skills/skills/bionemo-kermt-add-cmim-pretrain ~/.claude/skills/kermt-add-cmim-pretrain

For one project only, copy the folder into .claude/skills/ in that project instead. The agent picks it up when a task matches its description.

What it costs your context

Agent Skills load in three steps. Tokens counted with the o200k tokenizer; your model's count will differ a little.

WhenWhat loadsCost
Every sessionName and description81 tok
When the agent uses itThe SKILL.md instructions2,072 tok
Only if opened12 bundled files (181 KB)varies

Until it is used, kermt-add-cmim-pretrain costs about 17× less than the median MCP server we measured (1,363 tokens on every turn). Installing all 150 skills from NVIDIA/skills would load 20,796 tokens of descriptions. Skills vs MCP study

Checks

  • Ships scripts the agent can run. Read them before installing.
  • The name doesn't match its folder name, as the specification requires.

Checked 2026-10-22 · method

What's inside

The headings of its SKILL.md. Read the full file on GitHub.

  • kermt-add-cmim-pretrain
  • Skill and runtime paths
  • Hardware requirements
  • When to invoke
  • Inputs
  • Workflow
  • Hard rules
  • Common errors
  • What's in run.json after a successful run
  • Replayability

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