SKILLEMALL.ai

BF nvflare-shared

Internal NVFLARE conversion references and templates. Use only when another NVFLARE skill directs you to a shared workflow, policy, or asset.

ClawHub Agent Skills author: NVIDIA 1 file body ≈ 1 165 tokens Open the sourceclawhub.ai analyzed 7 h ago

Internal NVFLARE conversion references and templates.

As a process F 52/100 · Will not run — References files that are not bundled: references/conversion-common.md, references/conversion-workflow.md, references/site-data-and-paths.md

TemplateData and analyticstype and topics are labelled automatically from the skill text
JSON
Technical rating
B
89/100
safety, quality, tests
Safety 60%
100
Quality 40%
73
Run on models
none yet
Process rating
F
52/100
Will not run
References files that are not bundled: references/conversion-common.md, references/conversion-workflow.md, references/site-data-and-paths.md
Tools and files w 18
0
Result and completion w 14
0
Progress reporting w 2
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/conversion-common.md
  • warning missing-ref reference to a missing file: references/conversion-workflow.md
  • warning missing-ref reference to a missing file: references/site-data-and-paths.md
  • warning missing-ref reference to a missing file: references/validation-evidence.md
  • warning missing-ref reference to a missing file: references/dependency-install.md
  • warning missing-ref reference to a missing file: references/pytorch-model-exchange.md
  • warning missing-ref reference to a missing file: references/pytorch-family-recipe-selection.md
  • warning missing-ref reference to a missing file: references/pytorch-family-recipe-construction.md
  • warning missing-ref reference to a missing file: references/runtime-output-guidance.md
  • warning missing-ref reference to a missing file: references/metrics-and-artifact-reporting.md
  • warning missing-ref reference to a missing file: assets/aggregator.py

Process rating: all ten parameters 52/100

Will not run. References files that are not bundled: references/conversion-common.md, references/conversion-workflow.md, references/site-data-and-paths.md
  • 0Tools and files. 11 referenced file(s) missing: references/conversion-common.md, references/conversion-workflow.md, references/site-data-and-paths.md
  • 0Result and completion. Does not say what the result is
  • 0Progress reporting. Says nothing while it works
  • 50When it triggers. No condition that starts the skill
  • 50Failures and branches. 0 branches, has a failure section
  • 70Inputs and preconditions. Inputs and preconditions are listed
  • 100Steps. 25 steps
  • 100Consistency. Name and required fields are in place
  • 100Execution cost. Instruction body is 1165 tokens
  • 100Running it twice. No mutating operations

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 141: enough signal without eating the budget
  • +4Structure: 9 headings
  • +3Step-by-step instructions: 25 items
  • +4Has examples (2 code blocks)
  • +1License stated

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