AF svg-draw
Create SVG images and convert them to PNG without external graphics libraries. Use when you need to generate custom illustrations, avatars, or artwork (e.g., "draw a dragon", "create an avatar", "make a logo") or convert SVG files to PNG format. This skill works by writing SVG text directly (no PIL/ImageMagick required) and uses system rsvg-convert for PNG conversion.
Create SVG images and convert them to PNG without external graphics libraries.
As a process F 32/100 · Will not run — References files that are not bundled: assets/dragon_template.svg, assets/lobster_template.svg
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: 2. Evidence is masked. Grey chips explain why severity was lowered.
Against the Agent Skills spec
- warning
missing-refreference to a missing file: assets/dragon_template.svg - warning
missing-refreference to a missing file: assets/lobster_template.svg
Process rating: all ten parameters 32/100
- 0Tools and files. 2 referenced file(s) missing: assets/dragon_template.svg, assets/lobster_template.svg
- 0Result and completion. Does not say what the result is
- 0Inputs and preconditions. Does not say what the process needs to start
- 0Progress reporting. Says nothing while it works
- 20When it triggers. No condition that starts the skill
- 30Running it twice. 4 mutating operations with no state check
- 50Failures and branches. 0 branches, has a failure section
- 60Steps. 76 steps, 5 vague phrases
- 100Consistency. Name and required fields are in place
- 100Execution cost. Instruction body is 1293 tokens
- 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
- +4Description does not say when NOT to use the skill (false activations)
- +3Output format is not stated: the model decides each time
- +1No license
- +2Single-language instructions
- +5Description quotes 3 example trigger phrases
- +3Description length 370: enough signal without eating the budget
- +4Structure: 20 headings
- +3Step-by-step instructions: 76 items
- +4Has examples (6 code blocks)
- +3All 1 scripts are documented
Quality base 70; lint remarks subtract, signals add up to 100. Result: 83.