AB markdown-to-minimal-image
Read an attached Markdown document, analyze and summarize it, then generate a minimalist image from the summary using the default image model. Ask the user for aspect ratio when needed, and support social-banner formats such as 5:2 and 5:4. Use when the user wants a document turned into a simple tutorial-style visual with handwritten whiteboard aesthetics.
Read an attached Markdown document, analyze and summarize it, then generate a minimalist image from the summary using the default image model.
As a process B 73/100 · Nearly there — weak spots: result and completion, consistency, progress reporting
How to improve
- For Hermes the description must be one sentence under 60 characters; move the conditions to a "When to Use" section.
- 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
description-long-hermesdescription is 359 chars; the Hermes authoring standard requires ≤ 60 (one sentence, ending with a period)
Process rating: all ten parameters 73/100
- 0Result and completion. Does not say what the result is
- 0Consistency. Frontmatter name (markdown-to-minimal-image) differs from the folder (260611-md2mini-img)
- 0Progress reporting. Says nothing while it works
- 70Inputs and preconditions. Inputs and preconditions are listed
- 100Tools and files. No external tools needed
- 100Steps. 56 steps
- 100When it triggers. States when to use and when not to
- 100Failures and branches. 2 branches, has a failure section
- 100Execution cost. Instruction body is 1047 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
- +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
- +4No input/output examples
- +2Single-language instructions
- +3Description length 358: enough signal without eating the budget
- +4Structure: 10 headings
- +3Step-by-step instructions: 56 items
- +1License stated
Quality base 70; lint remarks subtract, signals add up to 100. Result: 75.