BD meme-generator
Generate SVG-based memes from text — classic templates (Drake, Stonks, This is Fine, Doge, etc.), batch generation, quote packs, animated effects. Pure Python stdlib, crisp at any resolution.
Generate SVG-based memes from text — classic templates (Drake, Stonks, This is Fine, Doge, etc.), batch generation, quote packs, animated effects. Pure Python…
As a process D 45/100 · Unfinished process — weak spots: when it triggers, inputs and preconditions, failures and branches
How to improve
- Say in the description WHEN to use the skill ("use when…", example requests): that is the agent's main cue.
- 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: 7. Evidence is masked. Grey chips explain why severity was lowered.
Against the Agent Skills spec
- warning
description-no-whendescription does not say WHEN to use the skill (no "use when") - note
frontmatter-keyunknown frontmatter key "language" - note
frontmatter-keyunknown frontmatter key "categories"
Process rating: all ten parameters 45/100
- 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. 2 mutating operations with no state check
- 40Consistency. Frontmatter name (meme-generator) differs from the folder (meme-generator-2)
- 60Tools and files. Uses tools (python) that frontmatter does not declare
- 60Result and completion. Output format stated, no completion criterion
- 85Steps. 11 steps, 1 vague phrases
- 100Execution cost. Instruction body is 521 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)
- -42 reference files, but SKILL.md never points to them: the model will not open them
- +2Single-language instructions
- +3Description length 191: enough signal without eating the budget
- +4Structure: 7 headings
- +3Step-by-step instructions: 11 items
- +3Output format is stated explicitly
- +4Has examples (2 code blocks)
- +3All 1 scripts are documented
- +1License stated
Quality base 70; lint remarks subtract, signals add up to 100. Result: 73.