SKILLEMALL.ai

AF nvflare-orient

Route open-ended NVFLARE advice and only conversion requests whose preliminary source inspection reports unresolved or conflicting ownership; never load this skill merely to inspect a concrete conversion request before selecting its detected framework converter.

ClawHub Agent Skills author: NVIDIA 1 file body ≈ 596 tokens Open the sourceclawhub.ai analyzed 10 h ago

Route open-ended NVFLARE advice and only conversion requests whose preliminary source inspection reports unresolved or conflicting ownership; never load this…

As a process F 57/100 · Will not run — References files that are not bundled: references/orientation-routing.md

ProcedureData and analyticstype and topics are labelled automatically from the skill text
JSON
Technical rating
A
90/100
safety, quality, tests
Safety 60%
100
Quality 40%
75
Run on models
none yet
Process rating
F
57/100
Will not run
References files that are not bundled: references/orientation-routing.md
Tools and files w 18
0
Result and completion w 14
0
Running it twice w 4
30
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/orientation-routing.md

Process rating: all ten parameters 57/100

Will not run. References files that are not bundled: references/orientation-routing.md
  • 0Tools and files. 1 referenced file(s) missing: references/orientation-routing.md
  • 0Result and completion. Does not say what the result is
  • 30Running it twice. 2 mutating operations with no state check
  • 55Failures and branches. 1 branches
  • 70Inputs and preconditions. Inputs and preconditions are listed
  • 100Steps. 10 steps
  • 100When it triggers. States when to use and when not to
  • 100Consistency. Name and required fields are in place
  • 100Execution cost. Instruction body is 596 tokens
  • 100Progress reporting. Reports progress

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
  • +4No input/output examples
  • +2Single-language instructions
  • +3Description length 262: enough signal without eating the budget
  • +4Structure: 5 headings
  • +3Step-by-step instructions: 10 items
  • +1License stated

Quality base 70; lint remarks subtract, signals add up to 100. Result: 75.