Nemotron Add ModelSAFE
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
Overview
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
441e9a359902OBSERVED · 2026-10-09What it tells the agent
The instruction file, verbatim from the audited commit — this is the text the model reads, and the surface the audit's instruction layer examines. Quoted here so you can judge it without cloning anything.
---
name: nemotron-add-model
description: 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.
---
# nemotron-add-model
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.
## Tone
Concise. Checklist-first. Ask for missing facts before writing files.
- Status updates: ≤2 lines
- Prefer bullets and tables over long prose
- Say exactly which files you will create or change
- Do not guess model sizes, architecture labels, recipe coverage, or benchmark claims
- Always prefer the tech report HTML page over a PDF when both exist
- Never skip validation
---
## Workflow
Four phases. Always in this order.
### 1. Orient
Read these first:
- `skills/nemotron-add-step/SKILL.md`
- `skills/nemotron-nano3/SKILL.md`
- `skills/nemotron-nano3/INDEX.md`
- `skills/nemotron-nano3/paper/_overview.md`
- `skills/nemotron-nano3/recipes/overview.md`
- `skills/nemotron-nano3/context/index.toml`
- `skills/nemotron-nano3/context/quick-reference.md`
- `skills/nemotron-super3/SKILL.md`
- `skills/nemotron-super3/INDEX.md`
- `.claude-plugin/marketplace.json`
Then ask the contributor:
1. What is the model family name? (slug used in `skills/nemotron-{model}/`, for example `ultra` or `nano4`)
2. What is the tech report URL? (prefer arXiv HTML or another HTML page)
3. Does it have recipes in `src/nemotron/recipes/`?
4. What is the architecture type? (`dense`, `MoE`, `hybrid Mamba-Transformer`, or another precise label)
5. What sizes are available?
6. Which existing steps support this model? (Do any `step.toml` files need new `[[models]]` entries later?)
Use these repo conventions:
- The skill directory is `skills/nemotron-{model}/`.
- `SKILL.md` is a retrieval skill, not a code generator.
- Follow the same Locate → Retrieve → Cite pattern used by `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`.
- Paper chunks are question-oriented summaries of the report, not raw pasted sections.
- `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.
- Adding `[[models]]` entries to step manifests is a separate task. Do not modify step manifests here.
### 2. Generate
Create the skill directory:
- `skills/nemotron-{model}/`
Create these files:
- `skills/nemotron-{model}/SKILL.md`
- `skills/nemotron-{model}/INDEX.md`
- `skills/nemotron-{model}/model-card.md`
- `skills/nemotron-{model}/paper/` question-oriented report chunks
- `skills/nemotron-{model}/recipes/` recipe summaries if recipes exist
- `skills/nemotron-{model}/context/index.toml`
- `skills/nemotron-{model}/context/quick-reference.md`
- `.claude-plugin/marketplace.json` entry for the new skill
Generation rules:
1. Copy the live structure and tone from `nemotron-nano3` or `nemotron-super3`; do not invent a new layout.
2. Start `paper/` with `_overview.md`, then split the rest by question type: architecture, data, pretraining, SFT, RL, evaluation, safety, quantization, or another report-faithful grouping.
3. Base the paper chunks on the HTML report when available. Only fall back to PDF if no HTML source exists.
4. `model-card.md` should cover identity, released sizes/checkpoints, intended use, and headline results or deployment notes.
5. If recipes exist, add `recipes/overview.md` plus one file per public stage or major sub-stage.
6. If recipes do not exist, still create `recipes/overview.md`, but make it explicit that no reproduction recipes are available yet.
7. Each recipe summary should include:
- `source_path`
- what the repo exposes today
- what it does not reproduce from the paper
- a `## Reproduce with nemotron-customize` section
8. `context/index.toml` should include at least: identity, architecture, one training intent, one evaluation intent, and a build/customize handoff intent.
9. `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.
10. Register the new skill in `.claude-plugin/marketplace.json`.
### 3. Validate
Check all of these before finishing:
- Every `paper/*.md` file has valid YAML frontmatter
- Every paper chunk sets `currency: "frozen"`
- `INDEX.md` references all `paper/` and `recipes/` files
- `context/index.toml` and `context/quick-reference.md` both exist
- `recipes/overview.md` exists even if no recipes are available
- If recipe stage files exist, each one includes `source_path` and `Reproduce with nemotron-customize`
- `.claude-plugin/marketplace.json` is valid JSON
If validation fails:
1. Fix the missing file, frontmatter, or index/reference issue
2. Re-check the specific failure
3. Do not present the result until the knowledge base is internally consistent
### 4. Summarize
Show:
- What was created
- Every file added or changed
- Whether recipe summaries were created or intentionally kept minimal
- Which paper chunks were added
- The new marketplace entry name and description
- Any follow-up work deferred, such as future `[[models]]` entries in step manifests
---
## Boundaries
### Do
- Reuse the live Nano3/Super3 knowledge-base structure
- Prefer HTML report sources
- Keep paper chunks question-oriented and recipe summaries repo-orTrust audit
SAFEgrade B · trust 89/100 Nothing in the source contradicts what it says it does. Grade A is reserved for packages that have also passed the behavioural sandbox.
| Layer | What it checks | Result |
|---|---|---|
| L0 | Provenance & inventory | PASS |
| L1 | Static analysis of the code | NA |
| L2 | Instruction surface (what it tells the agent) | PASS |
| L3 | Class-specific surface | PASS |
| L4 | Behavioural (sandbox) | SKIPPED |
What the source does
- Filesystem
- none-observed
- Network
- none-observed
- Shell
- none-observed
- Dependencies
- pinned
- Secrets in source
- none-found
Findings (0)
No findings outside the package's declared scope.
Gates applied: no_behavioural_pass.
441e9a359902full audit observations/trust-audit/skill/nvidia-nemo__nemotron-add-model.json · Report an issue / request a re-scanAudit history
Every audit this skill has had.
| Date | Source | Verdict | Grade | Score | Change |
|---|---|---|---|---|---|
| 2026-10-09 | 441e9a359902 | SAFE | B | 89 | first audit |
Questions
What does the Nemotron Add Model skill do?
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
Is Nemotron Add Model safe to install?
The audit found nothing in the source that contradicts what it says it does, and graded it B (89/100). Grade A is held back for packages that have also passed a sandboxed behavioural run, which is why a clean skill reads B.
What can Nemotron Add Model access on my machine?
The audit observed no filesystem, network or shell use at all in its source.
How current is this page?
The grade is for one exact copy of the source (441e9a359902), read on 2026-10-09. The repository is watched, and a new audit runs when it changes — this is the first audit.