LLM Benchmarking with lm-evaluation-harness
Orchestra-Research/AI-Research-SKILLs
Runs lm-evaluation-harness to benchmark language models on academic suites such as MMLU, GSM8K and HumanEval, compare models and track training checkpoints.
Onboard a new model family (Nemotron or third-party) into skills/ — paper chunks, recipe summaries, context packs, and model card.
$ npx skills add NVIDIA-NeMo/Nemotron --skill nemotron-add-model -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install NVIDIA-NeMo/Nemotron nemotron-add-model --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ git clone --depth 1 https://github.com/NVIDIA-NeMo/Nemotron.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/nemotron-add-model .claude/skills/nemotron-add-model && rm -rf skills-srcUse ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.
Claude Code skills documentation · loads skills from .claude/skills/
Install the "nemotron-add-model" agent skill from https://github.com/NVIDIA-NeMo/Nemotron/tree/main/skills/nemotron-add-model into .claude/skills/nemotron-add-model/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "nemotron-add-model", then confirm the skill loads.Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$skill-installer install https://github.com/NVIDIA-NeMo/Nemotron/tree/main/skills/nemotron-add-modelType this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.
$ npx skills add NVIDIA-NeMo/Nemotron --skill nemotron-add-model -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install NVIDIA-NeMo/Nemotron nemotron-add-model --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/NVIDIA-NeMo/Nemotron.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/nemotron-add-model .agents/skills/nemotron-add-model && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "nemotron-add-model" agent skill from https://github.com/NVIDIA-NeMo/Nemotron/tree/main/skills/nemotron-add-model into .agents/skills/nemotron-add-model/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "nemotron-add-model", then confirm the skill loads.Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add NVIDIA-NeMo/Nemotron --skill nemotron-add-model -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install NVIDIA-NeMo/Nemotron nemotron-add-model --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/NVIDIA-NeMo/Nemotron.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/nemotron-add-model .cursor/skills/nemotron-add-model && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "nemotron-add-model" agent skill from https://github.com/NVIDIA-NeMo/Nemotron/tree/main/skills/nemotron-add-model into .cursor/skills/nemotron-add-model/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "nemotron-add-model", then confirm the skill loads.Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gemini skills install https://github.com/NVIDIA-NeMo/Nemotron.git --path skills/nemotron-add-model--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add NVIDIA-NeMo/Nemotron --skill nemotron-add-model -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install NVIDIA-NeMo/Nemotron nemotron-add-model --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/NVIDIA-NeMo/Nemotron.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/nemotron-add-model .gemini/skills/nemotron-add-model && rm -rf skills-srcUse ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.
Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/
Install the "nemotron-add-model" agent skill from https://github.com/NVIDIA-NeMo/Nemotron/tree/main/skills/nemotron-add-model into .gemini/skills/nemotron-add-model/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "nemotron-add-model", then confirm the skill loads.Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gh skill install NVIDIA-NeMo/Nemotron nemotron-add-modelInstalls for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).
$ npx skills add NVIDIA-NeMo/Nemotron --skill nemotron-add-model -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/NVIDIA-NeMo/Nemotron.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/nemotron-add-model .github/skills/nemotron-add-model && rm -rf skills-srcUse ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.
GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/
Install the "nemotron-add-model" agent skill from https://github.com/NVIDIA-NeMo/Nemotron/tree/main/skills/nemotron-add-model into .github/skills/nemotron-add-model/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "nemotron-add-model", then confirm the skill loads.GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add NVIDIA-NeMo/Nemotron --skill nemotron-add-model -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install NVIDIA-NeMo/Nemotron nemotron-add-model --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/NVIDIA-NeMo/Nemotron.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/nemotron-add-model .opencode/skills/nemotron-add-model && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "nemotron-add-model" agent skill from https://github.com/NVIDIA-NeMo/Nemotron/tree/main/skills/nemotron-add-model into .opencode/skills/nemotron-add-model/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "nemotron-add-model", then confirm the skill loads.OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
nemotron-add-modelOnboard a new model family (Nemotron or third-party) into skills/ — paper chunks, recipe summaries, context packs, and model card.
Nemotron Add Model is an agent skill from NVIDIA-NeMo/Nemotron. Onboard a new model family (Nemotron or third-party) into skills/ — paper chunks, recipe summaries, context packs, and model card. Use when a contributor wants downstream skills like /nemotron-customize to be able to route to a new model.
Its SKILL.md is about 2.2k tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.
It sits in AI & LLM Engineering, covering Model hubs and datasets. The repository describes itself as: Developer Asset Hub for NVIDIA Nemotron — A one-stop resource for training recipes, usage cookbooks, datasets, and full end-to-end reference examples to build with Nemotron models. The licence is Apache-2.0.
4 steps, taken from the step headings in SKILL.md.
Read from SKILL.md and the folder at commit ca8c409. It shows what the files ask for, not the result of running them.
Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.
From allowed-tools in the SKILL.md frontmatter.
No scripts in the folder and no shell commands in SKILL.md.
From the folder's file list and the shell code blocks in SKILL.md.
No URLs in SKILL.md.
From URLs in SKILL.md, links to its own repository left out.
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Nemotron Add Model loads about 2.2k tokens when it runs. Until then it costs about 64 tokens; SKILL.md has 1,000 words of instructions outside code blocks.
Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.
The automated check found no risky patterns in SKILL.md.
Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.
The full file from NVIDIA-NeMo/Nemotron at commit ca8c409, republished under its Apache-2.0 licence (© NVIDIA-NeMo). 1,000 words, ~2,165 tokens.
.claude/skills/nemotron-add-model/SKILL.md (or your agent's skills folder).Invocation: /nemotron-add-model.
You help contributors add a new model-family knowledge base to the Nemotron plugin ecosystem without getting the paper chunks, recipe summaries, context pack, or registration wrong.
Concise. Checklist-first. Ask for missing facts before writing files.
Four phases. Always in this order.
Read these first:
skills/nemotron-add-step/SKILL.mdskills/nemotron-nano3/SKILL.mdskills/nemotron-nano3/INDEX.mdskills/nemotron-nano3/paper/_overview.mdskills/nemotron-nano3/recipes/overview.mdskills/nemotron-nano3/context/index.tomlskills/nemotron-nano3/context/quick-reference.mdskills/nemotron-super3/SKILL.mdskills/nemotron-super3/INDEX.md.claude-plugin/marketplace.jsonThen ask the contributor:
skills/nemotron-{model}/, for example ultra or nano4)src/nemotron/recipes/?dense, MoE, hybrid Mamba-Transformer, or another precise label)step.toml files need new [[models]] entries later?)Use these repo conventions:
skills/nemotron-{model}/.SKILL.md is a retrieval skill, not a code generator.nemotron-nano3 and nemotron-super3.INDEX.md is the knowledge map for the whole skill.paper/*.md files use YAML frontmatter with at least: paper, model, section, paper_sections, title, summary, key_facts, related_steps, currency.recipes/*.md files summarize the public repo path, what it reproduces, what it does not, and include source_path plus a Reproduce with nemotron-customize section.context/index.toml maps intents to the smallest useful file; context/quick-reference.md is the compact handoff sheet.currency is frozen for paper chunks and evolving for recipe summaries.[[models]] entries to step manifests is a separate task. Do not modify step manifests here.Create the skill directory:
skills/nemotron-{model}/Create these files:
skills/nemotron-{model}/SKILL.mdskills/nemotron-{model}/INDEX.mdskills/nemotron-{model}/model-card.mdskills/nemotron-{model}/paper/ question-oriented report chunksskills/nemotron-{model}/recipes/ recipe summaries if recipes existskills/nemotron-{model}/context/index.tomlskills/nemotron-{model}/context/quick-reference.md.claude-plugin/marketplace.json entry for the new skillGeneration rules:
nemotron-nano3 or nemotron-super3; do not invent a new layout.paper/ with _overview.md, then split the rest by question type: architecture, data, pretraining, SFT, RL, evaluation, safety, quantization, or another report-faithful grouping.model-card.md should cover identity, released sizes/checkpoints, intended use, and headline results or deployment notes.recipes/overview.md plus one file per public stage or major sub-stage.recipes/overview.md, but make it explicit that no reproduction recipes are available yet.source_path## Reproduce with nemotron-customize sectioncontext/index.toml should include at least: identity, architecture, one training intent, one evaluation intent, and a build/customize handoff intent.context/quick-reference.md should include model identity, sizes, architecture, public checkpoints, recipe map, and a /nemotron-customize step map or Explorer-mode fallback notes..claude-plugin/marketplace.json.Check all of these before finishing:
paper/*.md file has valid YAML frontmattercurrency: "frozen"INDEX.md references all paper/ and recipes/ filescontext/index.toml and context/quick-reference.md both existrecipes/overview.md exists even if no recipes are availablesource_path and Reproduce with nemotron-customize.claude-plugin/marketplace.json is valid JSONIf validation fails:
Show:
[[models]] entries in step manifestsstep.toml files hererecipes/overview.md when recipes are missingquick-reference.md but leave step.toml edits for a separate task.User:
Add a new model-family knowledge base for Nano4. It has an arXiv HTML report and public recipes under
src/nemotron/recipes/nano4/.
Assistant:
I’ll confirm the model slug, report URL, architecture type, released sizes, and which existing steps already support Nano4.
Then I’ll create:
skills/nemotron-nano4/SKILL.mdskills/nemotron-nano4/INDEX.mdskills/nemotron-nano4/model-card.mdskills/nemotron-nano4/paper/*.mdskills/nemotron-nano4/recipes/overview.mdplus stage summariesskills/nemotron-nano4/context/index.tomlskills/nemotron-nano4/context/quick-reference.md- a marketplace entry
I’ll keep paper chunks frozen, recipe summaries evolving, and I will not edit any
step.tomlfiles in this task.
User:
Add a paper-only knowledge base for Ultra. There is no public
src/nemotron/recipes/ultra/directory yet.
Assistant:
I’ll still build the full knowledge base shell, but
recipes/will stay minimal.I’ll create:
skills/nemotron-ultra/SKILL.mdskills/nemotron-ultra/INDEX.mdskills/nemotron-ultra/model-card.mdskills/nemotron-ultra/paper/*.mdskills/nemotron-ultra/recipes/overview.mdstating that no reproduction recipes are available yetskills/nemotron-ultra/context/index.tomlskills/nemotron-ultra/context/quick-reference.md- a marketplace entry
I will not invent stage summaries or pretend the paper is already reproducible from the public repo.
© NVIDIA-NeMo, Apache-2.0. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
Just SKILL.md in skills/nemotron-add-model of NVIDIA-NeMo/Nemotron.
Open the folder on GitHubat commit ca8c409
Nemotron Add Model next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| Nemotron Add Model this skillNVIDIA-NeMo/Nemotron | 2.1k | — | ~2.2k | Automated safety check: Pass | Apache-2.0 | |
| LLM Benchmarking with lm-evaluation-harnessOrchestra-Research/AI-Research-SKILLs | 13k | 8 repos | ~3k | Automated safety check: Pass | MIT | |
| SageMaker Serving Image Selectionhuggingface/skills | 11k | 1 repos | ~4.6k | Automated safety check: Pass | Apache-2.0 | |
| Hugging Face Local Model Evalshuggingface/skills | 11k | 2 repos | ~1.6k | Automated safety check: Pass | Apache-2.0 | |
| Upload Post Imagehuggingface/blog | 3.5k | — | ~1.1k | Automated safety check: Pass | None | |
| Esmfold2JimLiu/science-skills | 228 | 4 repos | ~2.5k | Automated safety check: Pass | Apache-2.0 |
Orchestra-Research/AI-Research-SKILLs
Runs lm-evaluation-harness to benchmark language models on academic suites such as MMLU, GSM8K and HumanEval, compare models and track training checkpoints.
huggingface/skills
Chooses the right serving container and current image URI for deploying a Hugging Face model to a SageMaker endpoint, preferring Hugging Face images over generic ones.
huggingface/skills
Runs evaluations of Hugging Face Hub models on local hardware with inspect-ai or lighteval, and helps choose between vLLM, Transformers and accelerate backends.
huggingface/blog
A skill your agent uses when adding or migrating non-thumbnail images for a Hugging Face Blog post.
JimLiu/science-skills
Biohub ESMFold2 / ESMFold2-Fast all-atom co-folding (Candido et al.
areal-project/AReaL
Guide for adding a new model to the Archon engine. An agent skill from areal-project/AReaL.
NVIDIA-NeMo/Nemotron
Add a cross-cutting decision pattern under src/nemotron/steps/patterns/.
NVIDIA-NeMo/Nemotron
Add a new step under src/nemotron/steps/<category/<stepid/ — manifest (step.toml), runner glue, configs, and per-step README.md.
NVIDIA-NeMo/Nemotron
Prepare, validate, build, and use Nemotron Customizer airgap image bundles for offline clusters.
NVIDIA-NeMo/Nemotron
Reference desk for Nemotron 3 Nano / Llama-Nemotron Nano 3 — architecture, training data, recipes, evaluation, quantization, deployment.
NVIDIA-NeMo/Nemotron
Reference desk for NVIDIA Nemotron 3 Super — architecture, training data, recipes (pretrain/SFT/RL/eval/quantization), and deployment notes.
NVIDIA-NeMo/Nemotron
Run the Nemotron-3.5 Lightning Text2SQL LoRA fine-tuning tutorial (NeMo Megatron-Bridge) end-to-end for the user on a single node: data prep, checkpoint conversion, LoRA fine-tuning of the 30B-A3B…
Categories
Onboard a new model family (Nemotron or third-party) into skills/ — paper chunks, recipe summaries, context packs, and model card. Nemotron Add Model is an agent skill from NVIDIA-NeMo/Nemotron. Onboard a new model family (Nemotron or third-party) into skills/ — paper chunks, recipe summaries, context packs, and model card.
Nemotron Add Model fits situations like: A contributor wants downstream skills like /nemotron-customize to be able to route to a new model; tasks that involve Model hubs and datasets.
Run `npx skills add NVIDIA-NeMo/Nemotron --skill nemotron-add-model -a claude-code`. Or copy the skill folder (skills/nemotron-add-model in NVIDIA-NeMo/Nemotron) into .claude/skills/nemotron-add-model in your project. Claude Code loads it when a task matches its description.
Run `npx skills add NVIDIA-NeMo/Nemotron --skill nemotron-add-model -a codex`. Or copy the skill folder (skills/nemotron-add-model in NVIDIA-NeMo/Nemotron) into .agents/skills/nemotron-add-model in your project. Codex loads it when a task matches its description.
Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add NVIDIA-NeMo/Nemotron --skill nemotron-add-model -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/nemotron-add-model, .gemini/skills/nemotron-add-model, .github/skills/nemotron-add-model and .opencode/skills/nemotron-add-model in your project.
SKILL.md names no scripts, command-line tools or credentials: Nemotron Add Model is instructions for the agent only.
SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.
Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.
Nemotron Add Model is published under the Apache-2.0 licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.
About 2.2k tokens (SKILL.md is roughly 8.7k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.
Skills that share tags, products or a category with Nemotron Add Model: LLM Benchmarking with lm-evaluation-harness (Orchestra-Research/AI-Research-SKILLs, 13k stars), SageMaker Serving Image Selection (huggingface/skills, 11k stars), Hugging Face Local Model Evals (huggingface/skills, 11k stars) and Upload Post Image (huggingface/blog, 3.5k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
NVIDIA-NeMo (a GitHub organization) maintains it in NVIDIA-NeMo/Nemotron, which has 2,142 GitHub stars. The repository holds 10 skills in this directory. The repository was last updated on October 6, 2026.
Source: NVIDIA-NeMo/Nemotron on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.