AB logos-and-vectors
Make true scalable vector art (logos, icons, app glyphs, scalable illustrations) or convert a raster image into clean editable SVG. Use when the user says "make a logo", "I need an SVG", "vectorize this PNG", "turn this into a vector", "a flat icon set", "a scalable mark", or wants artwork that stays crisp at any size and opens in a design tool. The output is real SVG, not a flat PNG that looks vector-ish. For a raster poster, ad, or packaging with exact copy on it, use text-in-image instead.
Make true scalable vector art (logos, icons, app glyphs, scalable illustrations) or convert a raster image into clean editable SVG.
As a process B 73/100 · Nearly there — weak spots: result and completion, progress reporting
How to improve
- 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: 2. Evidence is masked. Grey chips explain why severity was lowered.
Against the Agent Skills spec
✓ No remarks against the Agent Skills spec
Process rating: all ten parameters 73/100
- 0Result and completion. Does not say what the result is
- 0Progress reporting. Says nothing while it works
- 55Failures and branches. 1 branches
- 70When it triggers. States when to use, but not when not to
- 70Inputs and preconditions. Inputs and preconditions are listed
- 100Tools and files. No external tools needed
- 100Steps. 30 steps
- 100Consistency. Name and required fields are in place
- 100Execution cost. Instruction body is 1522 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
- +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
- +1No license
- +2Single-language instructions
- +5Description quotes 6 example trigger phrases
- +3Description length 497: enough signal without eating the budget
- +4Structure: 8 headings
- +3Step-by-step instructions: 30 items
Quality base 70; lint remarks subtract, signals add up to 100. Result: 85.