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kermt-infer
95 / 100 · Low risk
Fine to try. Some of what it can do is expected: a coding skill usually runs build and test commands.
By NVIDIA/skills (GitHub) · coding · 3,933 stars · scanned at commit 2630133
Run predictions with a finetuned KERMT checkpoint on a SMILES-only CSV. The skill validates that the input ckpt has task FFN heads (refuses pretrain ckpts with a redirect to kermt-finetune), validates the CSV, prepares the data (clean + rdkit_2d features), then launches main.py predict inside the kermt container (blocking, minutes-scale).
Works with any agent that supports SKILL.md skills.
What this skill can do
Runs commands on your computer
The author does not mention this. Expected for a coding skill.
Found in 16 places.
Show 13 more
- skills/bionemo-kermt-infer/scripts/_utils.py, line 227
r = subprocess.run( - skills/bionemo-kermt-infer/scripts/_utils.py, line 324
r = subprocess.run( - skills/bionemo-kermt-infer/scripts/kermt_container.sh, line 118
r = subprocess.run(["docker", "info"], capture_output=True, text=True, timeout=10) - skills/bionemo-kermt-infer/scripts/kermt_container.sh, line 131
r = subprocess.run( - skills/bionemo-kermt-infer/scripts/kermt_container.sh, line 176
r = subprocess.run(["docker", "image", "inspect", image], capture_output=True, text=True, timeout=10) - skills/bionemo-kermt-infer/scripts/kermt_container.sh, line 187
r = subprocess.run(["docker", "image", "inspect", img], capture_output=True) - skills/bionemo-kermt-infer/scripts/kermt_container.sh, line 195
r = subprocess.run( - skills/bionemo-kermt-infer/scripts/kermt_container.sh, line 376
conda run -n kermt --no-capture-output bash -c "$*" - skills/bionemo-kermt-infer/scripts/kermt_container.sh, line 424
conda run -n kermt --no-capture-output bash -c "$*") || return $? - skills/bionemo-kermt-infer/scripts/prepare_data.py, line 36
Each underlying script is invoked via `subprocess.run`. The PYTHONPATH=/workspace - skills/bionemo-kermt-infer/scripts/prepare_data.py, line 106
proc = subprocess.run(cmd, capture_output=True, text=True) - skills/bionemo-kermt-infer/scripts/run_inference.py, line 218
proc = subprocess.run(argv, env=env, stdout=logf, stderr=subprocess.STDOUT) - skills/bionemo-kermt-infer/scripts/run_inference.py, line 227
description="Workstation inference runner — wraps main.py predict via subprocess."
Install
Paste this into your terminal. It downloads exactly the version we scanned, not whatever is newest.
if [ -e ~/.agents/skills/'kermt-infer' ] || [ -L ~/.agents/skills/'kermt-infer' ]; then echo 'A skill folder named kermt-infer already exists — not replacing it' >&2; false; else d=$(mktemp -d) && git clone --quiet --filter=blob:none --no-checkout 'https://github.com/NVIDIA/skills' "$d" && git -C "$d" checkout --quiet '2630133f22e357f2005886567a39eddcc1b520e2' -- 'skills/bionemo-kermt-infer' && mkdir -p ~/.agents/skills && cp -R "$d"/'skills/bionemo-kermt-infer' ~/.agents/skills/'kermt-infer' && rm -rf "$d"; fi
Codex reads ~/.agents/skills directly. For Claude Code, Cursor, Copilot, Gemini CLI, Antigravity or OpenCode, also link it. For Claude Code: ln -s ~/.agents/skills/'kermt-infer' ~/.claude/skills/'kermt-infer' (other agents: ~/.cursor/skills, ~/.copilot/skills, ~/.gemini/skills, ~/.gemini/config/skills, ~/.config/opencode/skills). Or install through the finder skill, which does both.
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[](https://zalavijaysinh.github.io/skilltrust/repos/NVIDIA/skills/)
Score history
| Date | Version | Score |
|---|
| 2026-11-11 | 2630133 | 95 |
| 2026-11-08 | fce3cca | 95 |
| 2026-11-07 | fce3cca | 95 |