BF tilegym-cutile-python
Expert cuTile programming assistant. Write high-performance GPU kernels using cuTile's tile-based programming model with proper validation and optimization. Supports deep agent orchestration for complex multi-kernel tasks.
Expert cuTile programming assistant.
As a process F 30/100 · Will not run — References files that are not bundled: guidelines/01_implementation_lessons.md, guidelines/02_code_generation_rules.md, guidelines/03_concepts.md
How to improve
- The text references files that are not there: add them or drop the references.
- 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-refreference to a missing file: guidelines/01_implementation_lessons.md - warning
missing-refreference to a missing file: guidelines/02_code_generation_rules.md - warning
missing-refreference to a missing file: guidelines/03_concepts.md - warning
missing-refreference to a missing file: examples/tilegym_and_examples_guide.md - warning
missing-refreference to a missing file: orchestration/workflow.md - warning
missing-refreference to a missing file: orchestration/overview.md
Process rating: all ten parameters 30/100
- 0Tools and files. 6 referenced file(s) missing: guidelines/01_implementation_lessons.md, guidelines/02_code_generation_rules.md, guidelines/03_concepts.md
- 0Inputs and preconditions. Does not say what the process needs to start
- 0Failures and branches. Linear process with no failure handling
- 0Progress reporting. Says nothing while it works
- 20When it triggers. No condition that starts the skill
- 30Running it twice. 5 mutating operations with no state check
- 40Result and completion. Does not say what the result is
- 60Steps. 117 steps, 4 vague phrases
- 70Execution cost. Instruction body is 4887 tokens
- 100Consistency. Name and required fields are in place
- low 13 top-level sections: this looks like several domains in one skill
- low The response is described with custom markup (7 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
- -218 emoji in the instructions: noise for the model
- +2Single-language instructions
- +3Description length 222: enough signal without eating the budget
- +4Structure: 32 headings
- +3Step-by-step instructions: 117 items
- +4Has examples (4 code blocks)
- +1License stated
Quality base 70; lint remarks subtract, signals add up to 100. Result: 71.