SKILLEMALL.ai

AF warp-eval

Evaluate whether an existing hot path is a credible NVIDIA Warp candidate. Use for irregular or spatial queries, particle or geometry simulation, branch-heavy loops, many small launches, host fallbacks, or large intermediates. CPU-only code and absent GPU dependencies are normal unless NVIDIA is prohibited. Exclude required cross-vendor or CPU-only deployment, vendor-lowered dense or NN layers, general Warp API questions, and already-selected Warp kernels. Contribution policy alone is not exclusion.

ClawHub Agent Skills author: NVIDIA 1 file body ≈ 4 678 tokens Open the sourceclawhub.ai analyzed 2 d ago

Evaluate whether an existing hot path is a credible NVIDIA Warp candidate.

As a process F 70/100 · Will not run — References files that are not bundled: references/evidence-and-reporting.md, references/authorization-checkpoint.md, references/target-patterns.md

AnalyzerSoftware developmentInfrastructuretype and topics are labelled automatically from the skill text
JSON
Technical rating
A
90/100
safety, quality, tests
Safety 60%
100
Quality 40%
76
Run on models
none yet
Process rating
F
70/100
Will not run
References files that are not bundled: references/evidence-and-reporting.md, references/authorization-checkpoint.md, references/target-patterns.md
Tools and files w 18
0
Progress reporting w 2
0
Failures and branches w 10
50
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/evidence-and-reporting.md
  • warning missing-ref reference to a missing file: references/authorization-checkpoint.md
  • warning missing-ref reference to a missing file: references/target-patterns.md
  • warning missing-ref reference to a missing file: references/rejection-gates.md
  • warning missing-ref reference to a missing file: references/benchmark-protocol.md
  • warning missing-ref reference to a missing file: references/semantic-contract.md
  • warning missing-ref reference to a missing file: references/baselines.md
  • warning missing-ref reference to a missing file: scripts/driver-template.py
  • warning missing-ref reference to a missing file: scripts/measure.py
  • warning missing-ref reference to a missing file: assets/warp-evaluation-report-template.md
  • warning missing-ref reference to a missing file: scripts/validate_report_schema.py

Process rating: all ten parameters 70/100

Will not run. References files that are not bundled: references/evidence-and-reporting.md, references/authorization-checkpoint.md, references/target-patterns.md
  • 0Tools and files. 11 referenced file(s) missing: references/evidence-and-reporting.md, references/authorization-checkpoint.md, references/target-patterns.md
  • 0Progress reporting. Says nothing while it works
  • 50Failures and branches. 0 branches, has a failure section
  • 70Inputs and preconditions. Inputs and preconditions are listed
  • 70Execution cost. Instruction body is 4678 tokens
  • 100Steps. 68 steps
  • 100Result and completion. Output format and completion criterion are stated
  • 100When it triggers. States when to use and when not to
  • 100Consistency. Name and required fields are in place
  • 100Running it twice. Mutating operations check current state
  • medium Safety rules and hard prohibitions inside a skill: they belong in the system prompt, here they protect nothing
  • low 10 top-level sections: this looks like several domains in one skill
  • low The response is described with custom markup (6 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)
  • +2Single-language instructions
  • +3Description length 504: enough signal without eating the budget
  • +4Structure: 20 headings
  • +3Step-by-step instructions: 68 items
  • +3Output format is stated explicitly
  • +4Has examples (1 code blocks)
  • +1License stated

Quality base 70; lint remarks subtract, signals add up to 100. Result: 76.