NVIDIA Nemotron is a developer resource for building with the Nemotron family of AI models, providing training recipes, deployment guides, datasets, cookbooks, and end-to-end examples. It is intended for developers and researchers training, customizing, deploying, or applying Nemotron models to agentic AI use cases. Its catalogue add-ons include a Claude Code plugin that guides users through Nemotron customization steps.
Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx skills add NVIDIA-NeMo/Nemotron --skill nemotron-retrieval-recipesgit clone --depth 1 https://github.com/NVIDIA-NeMo/NemotronWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/skills/nvidia-nemo/nemotron/nemotron-retrieval-recipes)<a href="https://agentmods.dev/skills/nvidia-nemo/nemotron/nemotron-retrieval-recipes"><img src="https://agentmods.dev/badge/skills/nvidia-nemo/nemotron/nemotron-retrieval-recipes/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/skills/nvidia-nemo/nemotron/nemotron-retrieval-recipes"><img src="https://agentmods.dev/badge/skills/nvidia-nemo/nemotron/nemotron-retrieval-recipes.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector warn
SkillSpector: 2 findings, up to medium
These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →
- medium Excessive Agency · line 57 Skill enables autonomous high-impact decisions without human-in-the-loop verification. Critical operations (destructive commands, financial transactions, data deletion) should require explicit user confirmation.Fix: Add human-in-the-loop confirmation for destructive, irreversible, or high-impact operations. Never auto-execute commands that modify files, send data, or alter system state.
- medium Excessive Agency · line 87 Skill enables autonomous high-impact decisions without human-in-the-loop verification. Critical operations (destructive commands, financial transactions, data deletion) should require explicit user confirmation.Fix: Add human-in-the-loop confirmation for destructive, irreversible, or high-impact operations. Never auto-execute commands that modify files, send data, or alter system state.
What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00036 | $0.02425 |
| Opus 5 | $0.00018 | $0.01213 |
| Sonnet 5 | $0.00007 | $0.00485 |
| Haiku 4.5 | $0.00004 | $0.00243 |
Grade A, and why
nemotron-retrieval-recipes scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 12d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
How it starts
The opening of the file, as written. The whole thing — 143 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Nemotron Retrieval Recipes
Invocation: $nemotron-retrieval-recipes.
Purpose
Use this skill to work with public Nemotron embedding and reranking retrieval recipes in a source checkout or installed package. Prefer the current checkout over memory, because the recipe CLI, configs, containers, and output paths are actively changing. Treat each recipe family as available only after its recipe directory and matching CLI files are present.
This is a public product skill, not contributor-only guidance. Its value over static docs is to make an agent route the user's retrieval failure to the right recipe family, reconcile docs with the current checkout, avoid accidental long-running launches, preserve secrets, and return concrete preview/execution/run-report commands.
Use it only for tasks tied to the public Nemotron embed or rerank recipe flow. If the request is unrelated retrieval theory, generic vector database selection, generic benchmark advice, or non-recipe Docker/Slurm/NIM troubleshooting, stop with a short scope note and do not inspect recipe files in that turn.
Security Notes
Use Bash for repo-scoped inspection, help, dry-run, and user-approved execution commands. Do not run API, GPU, Docker, Slurm, NIM, or other long-running work unless the user explicitly asks for it. Before Stage 0 SDG for either family, confirm the user's data-governance policy permits sending corpus content to the configured inference endpoints; otherwise use an approved private or air-gapped path. Never run broad environment dumps or commands that expose secret values. Prefer dotlist overrides and config review over editing recipe defaults.
Source Priority
Resolve conflicts in this order:
- Current checkout recipe, CLI, config, and source files.
- Bundled references in this skill.
- User-provided docs or saved snippets.
- Memory.
For runnable commands, treat the current checkout as authoritative. If a required recipe directory, CLI command, config, or env profile is missing, report the blocker instead of guessing.
What ships with it
10 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 12d ago First seen · 143 lines · 36 tokens per session scan A 5a4c2b4d1663
nemotron-retrieval-recipes is a skill published in the GitHub repository NVIDIA-NeMo/Nemotron (2,043 stars, last pushed 4d ago), licensed Apache-2.0. It adds 36 tokens to every session and 2,425 once invoked, about $0.0002 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
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