AC cloudflare-workers-ai-image
Generate and edit images through Cloudflare Workers AI using one skill that supports text-to-image and image-to-image. Use when the user asks to generate, draw, create, render, transform, restyle, or modify images with Cloudflare Workers AI models such as stable-diffusion-xl-base-1.0 and stable-diffusion-v1-5-img2img. Trigger for requests about prompt-based image generation, editing an existing image, preserving a source image while changing overall style or composition, or when the user explicitly mentions Cloudflare Workers AI, Workers AI, SDXL, or img2img. Save generated images to a temporary local path, let OpenClaw send them to the current conversation window, and remove the temporary files after successful delivery unless the user explicitly asks to keep a saved copy.
As a process C 62/100 · Has gaps — weak spots: result and completion, consistency, running it twice
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: 5. 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 62/100
- 0Result and completion. Does not say what the result is
- 0Progress reporting. Says nothing while it works
- 30Running it twice. 19 mutating operations with no state check
- 40Consistency. Frontmatter name (cloudflare-workers-ai-image) differs from the folder (cloudflare-workers-ai-images)
- 60Tools and files. Uses tools (bash) that frontmatter does not declare
- 70When it triggers. States when to use, but not when not to
- 70Inputs and preconditions. Inputs and preconditions are listed
- 100Steps. 60 steps
- 100Failures and branches. 4 branches, has a failure section
- 100Execution cost. Instruction body is 1971 tokens
- low 11 top-level sections: this looks like several domains in one skill
- high The skill tells the model to perform an irreversible action with no human approval
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)
- +1No license
- +2Single-language instructions
- +3Description length 784: enough signal without eating the budget
- +4Structure: 22 headings
- +3Step-by-step instructions: 60 items
- +3Output format is stated explicitly
- +4Has examples (5 code blocks)
- +4Reference files are cited in the instructions (1 of 1)
- +3All 2 scripts are documented
Quality base 70; lint remarks subtract, signals add up to 100. Result: 94.