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nemotron-super35

Reference desk for NVIDIA Nemotron 3.5 Super (120B-A12B), covering vision-language architecture, MTP, distillation pretraining from Ultra 3 Base, Indic CPT, SFT, RLVR, specialist teachers, two-phase MOPD, MTP boosting, NVFP4 quantization, and inference. Use when the user asks facts about Super 3.5 rather than building a pipeline.

Quality

92%

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SKILL.md
Quality
Evals
Security

Quality

Content

88%Weight 40%Scale 1-5

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

A tightly written reference-desk skill that keeps SKILL.md as a navigable index and pushes all detail to one-level-deep files, with a routing table, conflict-resolution order, and citation rules that make the workflow fully actionable for question answering. The main residual issues are a small amount of deliberate repetition (the post-training pipeline stated three times) and the absence of the referenced bundle files alongside SKILL.md for verification.

Suggestions

State the post-training pipeline order once (e.g., in 'Answering rules') and reference it from the overview bullets and 'What makes Super 3.5 different' instead of repeating the full chain three times.

Ship the referenced bundle files (INDEX.md, paper/*.md, model-card.md, context/quick-reference.md, recipes/*.md) with the skill so every routing-table target resolves to a real file.

Add 'benchmarks', 'evaluation', and the checkpoint name Nemotron-3.5-Super-VL to the description so users asking about released checkpoints and results trigger the skill naturally.

DimensionReasoningScore

Conciseness

The body is dense with model-specific facts Claude would not know ("120B-total / 12B-active hybrid Mamba-Transformer LatentMoE", token budgets, exact contradiction locations) and contains no generic-knowledge padding, fitting the 'efficient; minor instances that could be trimmed' anchor. The trimming opportunity: the SFT → RLVR → teachers → MOPD → MTP-boosting order is restated three times (overview bullets, 'What makes Super 3.5 different' #3, and 'Answering rules'), which keeps it below the lean score-5 anchor without dropping to score 3, since each restatement is short and no unnecessary explanations exist.

4 / 5

Actionability

For an instruction-only knowledge skill the guidance is fully concrete and covers common cases: a named Locate → Retrieve → Cite workflow, an 18-row routing table mapping question types to exact files, an explicit source-priority order, worked citation examples ("paper/rl/mopd.md → Phases"), and exact handoff paths (recipes/overview.md, /nemotron-customize). Per the rubric's scoring note, absence of code is not penalized in an instruction-only skill when guidance is this actionable.

5 / 5

Workflow Clarity

The multi-step process is clearly sequenced with checkpoints: ordered reading (INDEX.md → quick-reference → smallest detailed file), a routing-table checklist, a fallback for unlisted questions, conflict resolution via source priority, a mandatory citation step, and a caveats checklist for handling the report's self-contradictions. It is not score 4 because no validation gap can be identified — every branch (unmatched question, conflicting sources, contradictory numbers, synthesis across files) has an explicit handling rule, and no destructive/batch operations exist that would demand feedback loops.

5 / 5

Progressive Disclosure

The structure is exemplary progressive disclosure: SKILL.md is purely an overview/index, and every detail lives in clearly signaled one-level-deep references (paper/*.md, model-card.md, context/quick-reference.md, recipes/*.md) reached via the routing table. It falls short of the score-5 anchor only because none of the referenced bundle files (INDEX.md, paper/ files, model-card.md, recipes/*.md) exist in the provided references/, scripts/, or assets/ directories, so the navigation targets cannot be verified — a minor organization gap rather than the structural problems of the score-3 anchor.

4 / 5

Total

18

/

20

Passed

Description

92%Weight 40%Scale 1-5

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

A model-specific, third-person description that comprehensively lists its coverage areas and pairs them with an explicit, well-scoped 'Use when' trigger clause that even distinguishes it from sibling pipeline-building skills. The only weakness is a handful of missing natural search terms (benchmarks, evaluation, checkpoint names) that the body actually covers.

DimensionReasoningScore

Specificity

The description enumerates eleven concrete coverage areas — "vision-language architecture, MTP, distillation pretraining from Ultra 3 Base, Indic CPT, SFT, RLVR, specialist teachers, two-phase MOPD, MTP boosting, NVFP4 quantization, and inference" — comprehensively matching the skill's stated scope with no visible gaps, which fits the 'multiple specific concrete actions; comprehensive coverage' anchor rather than the score-4 anchor that requires minor gaps.

5 / 5

Completeness

Both halves are explicit: the 'what' is "Reference desk for NVIDIA Nemotron 3.5 Super (120B-A12B), covering [specific list]" and the 'when' is the concrete trigger clause "Use when the user asks facts about Super 3.5 rather than building a pipeline", which also sharpens scope by contrast — matching the anchor requiring both what and when with concrete trigger phrases.

5 / 5

Trigger Term Quality

Strong natural terms users of this model would say: "NVIDIA Nemotron 3.5 Super", "Super 3.5", "MTP", "MOPD", "NVFP4", "quantization", "inference", "facts about Super 3.5". It is not a 5 because a few natural phrases the body actually covers are missing, e.g. "benchmark"/"evaluation" results, the checkpoint name Nemotron-3.5-Super-VL, and "model card", which users asking about the release would likely say.

4 / 5

Distinctiveness Conflict Risk

It carves a clear niche (facts about this one specific model) with distinct triggers ("Super 3.5"), and the "rather than building a pipeline" clause explicitly deflects build/recipe and customization requests to other skills, leaving minimal conflict risk; adjacent models (Ultra, Lightning) are only mentioned as context, not as triggers.

5 / 5

Total

19

/

20

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.

Validation — 16 / 16 Passed

Validation for skill structure

No warnings or errors.

Repository

NVIDIA-NeMo/Nemotron

Path

skills/nemotron-super35/SKILL.md

Reviewed

Table of Contents

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