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-policy-generatorgit 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-policy-generator)<a href="https://agentmods.dev/skills/nvidia-nemo/nemotron/nemotron-policy-generator"><img src="https://agentmods.dev/badge/skills/nvidia-nemo/nemotron/nemotron-policy-generator/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-policy-generator"><img src="https://agentmods.dev/badge/skills/nvidia-nemo/nemotron/nemotron-policy-generator.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector warn
SkillSpector: 1 finding, 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 123 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 | $0.00085 | $0.04748 |
| Opus 5 | $0.00043 | $0.02374 |
| Sonnet 5 | $0.00017 | $0.00950 |
| Haiku 4.5 | $0.00009 | $0.00475 |
Grade A, and why
nemotron-policy-generator 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 — 223 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Nemotron Policy Generator
When to Use This Skill
Activate this skill whenever the user asks for help producing a content-safety policy for NVIDIA Nemotron safety models. Concretely:
- The user mentions any of: NCS, NCS-VL, NCS-Reasoning, Nemotron Content Safety, NeMo Guardrails, Aegis taxonomy.
- The user asks to "build", "draft", "generate", "expand", or "extend" a safety policy, content policy, moderation policy, guardrail config, BYO-policy, custom safety taxonomy, eval rubric, or labeling rubric.
- The user describes their needs in rough words ("no weapons, allow medical, block hate speech") and expects a structured artifact back.
- The user names a deployment context (consumer chat, enterprise RAG, kids/edu, healthcare, financial, code assistant, sovereign deployment) and asks for the safety rules that fit.
Do not activate this skill when:
- The user wants to evaluate an existing policy's quality, not generate one — that's a review task.
- The user wants to test whether NCS follows a policy — that's an eval/benchmark task; defer to a benchmark/eval skill.
- The user is asking for legal advice on what their policy should cover — defer; this skill generates artifacts from user-supplied intent, it doesn't decide what's legally required in a jurisdiction.
What This Skill Produces
From any rough input, this skill produces a structured, internally consistent policy in the formats Nemotron consumes:
- Markdown policy — the canonical, sign-off-ready source of truth; everything else derives from it.
- JSON taxonomy — schema-validated structured form for downstream tooling.
- Nemotron system prompt — drop-in classification prompt for NCS / NCS-VL / NCS-Reasoning.
- Word doc (.docx) — only if the user explicitly asks or mentions sign-off / legal / review.
What ships with it
12 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.
- assets/nemotron_policy_generator.html 44 KB
- assets/nemotron_system_prompt_template.txt 13 KB
- assets/policy_json_schema.json 3.0 KB
- assets/policy_md_template.md 2.4 KB
- BENCHMARK.md 4.1 KB
- evals/EVAL.md 4.4 KB
- evals/evals.json 9.6 KB
- references/content_safety_taxonomy.md 13 KB
- references/policy_patterns.md 3.3 KB
- references/target_models.md 4.6 KB
- skill-card.md 3.9 KB
- skill.oms.sig 6.4 KB
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 · 223 lines · 85 tokens per session scan A 5c9cb78cca6b
nemotron-policy-generator is a skill published in the GitHub repository NVIDIA-NeMo/Nemotron (2,043 stars, last pushed 5d ago), licensed Apache-2.0. It adds 85 tokens to every session and 4,748 once invoked, about $0.0004 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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