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BF nemo-mbridge-recipe-recommender

Recommend and customize Megatron Bridge library and benchmark recipes for a user's model, GPU count, hardware, sequence length, and pretrain/SFT/PEFT goal. Use when selecting a starting recipe, comparing library and benchmark configs, resizing parallelism for a GPU allocation, or distinguishing convergence changes, semantics-preserving execution tuning, and benchmark-only shortcuts.

ClawHub Agent Skills author: NVIDIA 1 file body ≈ 4 021 tokens Open the sourceclawhub.ai↗ analyzed 3 d ago

Recommend and customize Megatron Bridge library and benchmark recipes for a user's model, GPU count, hardware, sequence length, and pretrain/SFT/PEFT goal.

As a process F 36/100 · Will not run — References files that are not bundled: references/recipe-index.md, scripts/training/run_recipe.py, scripts/performance/setup_experiment.py

ProcedureSoftware developmenttype and topics are labelled automatically from the skill text
Runs in: OpenClaw Claude / Claude Code ChatGPT / Codex Gemini CLI Cursor GitHub Copilot / VS Code Qwen Code Kimi Code CLI Z.ai (GLM) DeepSeek (Deep Code) Mistral Vibe LangChain (deepagents) Goose OpenCode
JSON
Technical rating
B
89/100
safety, quality, tests
Safety 60%
100
Quality 40%
73
Run on models
none yet
Process rating
F
36/100
Will not run
References files that are not bundled: references/recipe-index.md, scripts/training/run_recipe.py, scripts/performance/setup_experiment.py
Tools and files w 18
0
Result and completion w 14
0
Inputs and preconditions w 11
0
the three weakest of ten parameters · all ten

How to improve

  1. The text references files that are not there: add them or drop the references.
For the model run — optional
  • Your own cases (evals/evals.json, 4–6 real requests with expected answers): the full check would then run those instead of a model-drafted suite.
  • A spec.yaml with trigger phrases and assertions — a behaviour contract for CI; `skilltest init` writes a template.

Guard findings · 0

✓ No critical or high findings

Files scanned: 1. Evidence is masked. Grey chips explain why severity was lowered.

Against the Agent Skills spec

  • warning missing-ref reference to a missing file: references/recipe-index.md
  • warning missing-ref reference to a missing file: scripts/training/run_recipe.py
  • warning missing-ref reference to a missing file: scripts/performance/setup_experiment.py
  • warning missing-ref reference to a missing file: scripts/performance/utils/utils.py
  • warning missing-ref reference to a missing file: scripts/training/train.sh
  • warning missing-ref reference to a missing file: scripts/performance/utils/overrides.py
  • note edit-residue the text marks something as outdated (lines 163): check that old rules are not kept next to new ones — the full check reads the text for contradictions

Process rating: all ten parameters 36/100

Will not run. References files that are not bundled: references/recipe-index.md, scripts/training/run_recipe.py, scripts/performance/setup_experiment.py
  • 0Tools and files. 6 referenced file(s) missing: references/recipe-index.md, scripts/training/run_recipe.py, scripts/performance/setup_experiment.py
  • 0Result and completion. Does not say what the result is
  • 0Inputs and preconditions. Does not say what the process needs to start
  • 0Progress reporting. Says nothing while it works
  • 20When it triggers. No condition that starts the skill
  • 30Running it twice. 4 mutating operations with no state check
  • 55Failures and branches. 1 branches
  • 70Execution cost. Instruction body is 4021 tokens
  • 100Steps. 25 steps
  • 100Consistency. Name and required fields are in place
  • low 10 top-level sections: this looks like several domains in one skill
  • low The response is described with custom markup (4 tags): a typed call is more reliable

Everything here is measured from the skill text rather than judged by a model, so the numbers are checkable. A parameter weighs more when it is a more common reason for the process to stall.

Quality signals

  • +5Description has no quoted example phrases that should trigger the skill
  • +4Description does not say when NOT to use the skill (false activations)
  • +3Output format is not stated: the model decides each time
  • +2Single-language instructions
  • +3Description length 385: enough signal without eating the budget
  • +4Structure: 17 headings
  • +3Step-by-step instructions: 25 items
  • +4Has examples (4 code blocks)
  • +1License stated

Quality base 70; lint remarks subtract, signals add up to 100. Result: 73.