AF bria-ai
Controllable image generation and editing with Bria.ai commercially-safe AI models. Fine-grained control over what gets generated, edited, or removed — edit by text instruction, mask specific regions, add/replace/remove individual objects, control lighting, season, and style independently. Use this skill when building websites, apps, presentations, or documents that need product photos, hero images, icons, illustrations, or backgrounds. Also use for e-commerce product photography, background removal, image upscaling, style transfer, batch generation, and pipeline workflows (generate -> edit -> remove background). Triggers on tasks involving AI image generation, controllable image editing, background removal, or visual asset creation.
Controllable image generation and editing with Bria.ai commercially-safe AI models. Fine-grained control over what gets generated, edited, or removed — edit…
As a process F 52/100 · Will not run — References files that are not bundled: ../vgl/SKILL.md, ../image-utils/SKILL.md
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: 7. Evidence is masked. Grey chips explain why severity was lowered.
Against the Agent Skills spec
- warning
missing-refreference to a missing file: ../vgl/SKILL.md - warning
missing-refreference to a missing file: ../image-utils/SKILL.md
Process rating: all ten parameters 52/100
- 0Tools and files. 2 referenced file(s) missing: ../vgl/SKILL.md, ../image-utils/SKILL.md
- 0Result and completion. Does not say what the result is
- 30Inputs and preconditions. Does not say what the process needs to start
- 55Failures and branches. 1 branches
- 70When it triggers. States when to use, but not when not to
- 100Steps. 13 steps
- 100Consistency. Name and required fields are in place
- 100Execution cost. Instruction body is 2852 tokens
- 100Running it twice. Mutating operations check current state
- 100Progress reporting. Reports progress
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
- +2Single-language instructions
- +3Description length 743: enough signal without eating the budget
- +4Structure: 22 headings
- +3Step-by-step instructions: 13 items
- +4Has examples (15 code blocks)
- +4Reference files are cited in the instructions (2 of 2)
- +1License stated
Quality base 70; lint remarks subtract, signals add up to 100. Result: 80.