AF bria-ai
AI image generation, editing, and background removal API via Bria.ai — remove backgrounds to get transparent PNGs and cutouts, generate images from text prompts, and edit photos with natural language instructions. Also create product photography and lifestyle shots, replace or blur backgrounds, upscale resolution, restyle, and batch-generate visual assets. Use this skill whenever the user wants to remove a background, create transparent PNGs, generate, edit, modify, or transform any image — including hero images, banners, social media visuals, product photos, illustrations, icons, thumbnails, ad creatives, or marketing materials. Also triggers on cutout, inpainting, outpainting, object removal or addition, photo restoration, style transfer, image enhancement, relight, reseason, sketch-to-photo, or any visual content creation. Commercially safe, royalty-free. 20+ specialized endpoints for e-commerce, web design, and content pipelines.
As a process F 45/100 · Will not run — References files that are not bundled: ../vgl/SKILL.md, ../image-utils/SKILL.md
The same skill appears in 1 more place: ClawHub
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: 5. 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 45/100
- 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
- 0Inputs and preconditions. Does not say what the process needs to start
- 30Running it twice. 20 mutating operations with no state check
- 40Consistency. Frontmatter name (bria-ai) differs from the folder (test-security)
- 60Failures and branches. 2 branches
- 100Steps. 34 steps
- 100When it triggers. States when to use and when not to
- 100Execution cost. Instruction body is 3170 tokens
- 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)
- +3Description length 947: 120–800 characters recommended
- +3Output format is not stated: the model decides each time
- +2Single-language instructions
- +4Structure: 13 headings
- +3Step-by-step instructions: 34 items
- +4Has examples (5 code blocks)
- +4Reference files are cited in the instructions (1 of 1)
- +1License stated
Quality base 70; lint remarks subtract, signals add up to 100. Result: 77.