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nemotron-nano3

Reference desk for Nemotron 3 Nano / Llama-Nemotron Nano 3 — architecture, training data, recipes, evaluation, quantization, deployment. Use when the user asks facts about the model rather than building a pipeline.

75

Quality

92%

Does it follow best practices?

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SecuritybySnyk

Low

Low-risk findings worth noting

SKILL.md
Quality
Evals
Security

Quality

Content

85%

Reviews the quality of instructions and guidance provided to agents. Good implementation is clear, handles edge cases, and produces reliable results.

The body is a well-structured retrieval overview with concrete file routing, a clear workflow, and clean one-level-deep progressive disclosure. Its only weakness is mild verbosity in the Calibration Examples and Boundaries sections. Tightening those would raise conciseness to top marks.

Suggestions

Trim or fold the Calibration Examples into the Workflow section — their answer patterns largely restate the Locate→Retrieve→Cite guidance and the routing table.

Compress the Boundaries Do/Don't list so it does not duplicate the Mission and Tone sections; keep only the non-obvious constraints (e.g. the Stage 0 pretraining catalog caveat).

Consider moving the per-question-type routing table and file tree into INDEX.md and keeping SKILL.md as a lean pointer, reducing the body's token footprint further.

DimensionReasoningScore

Conciseness

The body is mostly efficient operational guidance with no concept-explainer padding, but the Calibration Examples (~40 lines) and the Boundaries Do/Don't list partly restate the Mission/Tone/Workflow sections and could be tightened.

2 / 3

Actionability

The Retrieve routing table maps each question type to exact file paths ('Architecture / active params → paper/architecture.md') and the Quick Path Reference gives a copy-ready file tree, which is fully actionable for an instruction-only retrieval skill.

3 / 3

Workflow Clarity

A clear Locate → Retrieve → Cite sequence is given with numbered sub-steps, plus an explicit source-priority conflict-resolution rule; the rubric's feedback-loop caveat does not apply to a read-only retrieval task.

3 / 3

Progressive Disclosure

The SKILL.md acts as an overview pointing one level deep to INDEX.md, paper/*.md, recipes/*.md, and model-card.md, with a clear file tree and no nested 'see X → see Y' reference chains.

3 / 3

Total

11

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12

Passed

Description

100%

Based on the skill's description, can an agent find and select it at the right time? Clear, specific descriptions lead to better discovery.

The description is specific, third-person, and cleanly separates factual retrieval from pipeline-building, with an explicit 'Use when' trigger. It scores at the top of every dimension. No changes needed.

DimensionReasoningScore

Specificity

Names multiple concrete capability areas — 'architecture, training data, recipes, evaluation, quantization, deployment' — rather than vague language, matching the 'lists multiple specific concrete actions' anchor.

3 / 3

Completeness

Explicitly answers both what ('Reference desk for Nemotron 3 Nano …') and when ('Use when the user asks facts about the model rather than building a pipeline'), with an explicit trigger clause.

3 / 3

Trigger Term Quality

Uses natural terms a user would actually say ('facts about the model', 'architecture', 'training data', 'evaluation', 'quantization', 'deployment'), giving good coverage of common variations.

3 / 3

Distinctiveness Conflict Risk

The 'rather than building a pipeline' carve-out establishes a clear niche and separates it from the sibling /nemotron-customize skill, making misactivation unlikely.

3 / 3

Total

12

/

12

Passed

Validation

100%

Checks the skill against the spec for correct structure and formatting. All validation checks must pass before discovery and implementation can be scored.

Validation16 / 16 Passed

Validation for skill structure

No warnings or errors.

Repository
NVIDIA-NeMo/Nemotron
Reviewed

Table of Contents

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