CF aesthetic-instrument
great_cto's own committed aesthetic — the instrument panel. Dark five-step surface ladder, exactly one accent, two faces divided by MEANING (Geist speaks, Geist Mono is machine-truth), tabular numerals, and a dash that is not a nought. Twelve checkable rules measured from packages/board and greatcto.systems, not designed for this file. Use when building or extending any great_cto surface — the board, the site, a report, a share page.
greatcto's own committed aesthetic — the instrument panel.
As a process F 18/100 · No process to follow — References files that are not bundled: ../committed-aesthetic/SKILL.md, ../ui-ux-pro-max/SKILL.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: ../committed-aesthetic/SKILL.md - warning
missing-refreference to a missing file: ../ui-ux-pro-max/SKILL.md - note
frontmatter-keyunknown frontmatter key "effort"
Process rating: all ten parameters 18/100
- 0Tools and files. 2 referenced file(s) missing: ../committed-aesthetic/SKILL.md, ../ui-ux-pro-max/SKILL.md
- 0Steps. Prose only: no discrete steps
- 0Result and completion. Does not say what the result is
- 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. 9 mutating operations with no state check
- 100Consistency. Name and required fields are in place
- 100Execution cost. Instruction body is 1713 tokens
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)
- +3No numbered steps or checklist
- +3Output format is not stated: the model decides each time
- +4No input/output examples
- +1No license
- +2Single-language instructions
- +3Description length 437: enough signal without eating the budget
- +4Structure: 6 headings
Quality base 70; lint remarks subtract, signals add up to 100. Result: 67.