AB photoreal-stills
Generate images that read as real photographs, not AI renders: candid portraits, editorial, documentary, food, architectural, lifestyle. Use when the user says "make it look like a real photo", "this looks too AI", "less plastic skin", "shot on film", "candid not posed", "photorealistic", or wants stock-style, reportage, or interior shots that pass for a camera capture. For a product or packshot specifically (white background, hero, e-commerce), use product-photography instead. When exact lettering matters, use text-in-image.
Generate images that read as real photographs, not AI renders: candid portraits, editorial, documentary, food, architectural, lifestyle.
As a process B 72/100 · Nearly there — weak spots: running it twice, 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: 1. 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 72/100
- 0Progress reporting. Says nothing while it works
- 30Running it twice. 3 mutating operations with no state check
- 60Tools and files. Uses tools (bash) that frontmatter does not declare
- 60Result and completion. Output format stated, no completion criterion
- 60Failures and branches. 2 branches
- 70When it triggers. States when to use, but not when not to
- 70Inputs and preconditions. Inputs and preconditions are listed
- 100Steps. 54 steps
- 100Consistency. Name and required fields are in place
- 100Execution cost. Instruction body is 2510 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
- +4Description does not say when NOT to use the skill (false activations)
- +4No input/output examples
- +1No license
- +2Single-language instructions
- +5Description quotes 6 example trigger phrases
- +3Description length 531: enough signal without eating the budget
- +4Structure: 8 headings
- +3Step-by-step instructions: 54 items
- +3Output format is stated explicitly
Quality base 70; lint remarks subtract, signals add up to 100. Result: 88.