AC image-with-comfyui
Use to generate, edit, or animate images and videos through a local ComfyUI server — trigger with requests like "make a picture of", "replace the background", "turn this into a video", or "edit my photo". Call a local ComfyUI instance for text-to-image (T2I) via Z-Image or SD3.5 Medium, image-to-image edits (I2I) via Qwen Image Edit, and image-to-video (I2V) via Wan2.2. Automatic prompt formatting, missing-node/model detection, VRAM purge after run, and image-first mode (user sends an image, then a text edit request within 2 minutes).'}
As a process C 62/100 · Has gaps — weak spots: when it triggers, inputs and preconditions, 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: 9. Evidence is masked. Grey chips explain why severity was lowered.
Against the Agent Skills spec
- warning
frontmatter-yamlSKILL.md: the frontmatter is not valid YAML (YAML parse error: Unexpected flow-map-end token in YAML stream: "}" at line 2, column 556: …-first mode (user sends an image, then a text edit request within 2 minutes).'} ^ ); fields were read line by line. The usual cause is a colon inside an unquoted value
Process rating: all ten parameters 62/100
- 0Inputs and preconditions. Does not say what the process needs to start
- 0Progress reporting. Says nothing while it works
- 20When it triggers. No condition that starts the skill
- 30Running it twice. 17 mutating operations with no state check
- 60Tools and files. Uses tools (git, node) that frontmatter does not declare
- 60Result and completion. Output format stated, no completion criterion
- 100Steps. 81 steps
- 100Failures and branches. 2 branches, has a failure section
- 100Consistency. Name and required fields are in place
- 100Execution cost. Instruction body is 3237 tokens
- medium Safety rules and hard prohibitions inside a skill: they belong in the system prompt, here they protect nothing
- low 10 top-level sections: this looks like several domains in one skill
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)
- -2localhost URLs: will not work for another user
- -226 emoji in the instructions: noise for the model
- +1No license
- +2Single-language instructions
- +5Description quotes 4 example trigger phrases
- +3Description length 542: enough signal without eating the budget
- +4Structure: 26 headings
- +3Step-by-step instructions: 81 items
- +3Output format is stated explicitly
- +4Has examples (16 code blocks)
Quality base 70; lint remarks subtract, signals add up to 100. Result: 78.