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Generates images and videos using MuleRouter or MuleRun multimodal APIs. Text-to-Image, Image-to-Image, Text-to-Video, Image-to-Video, video editing (VACE, keyframe interpolation).
Passed 16 of 18 test cases with the skill, and 4 of 18 without it.
and 12 more in the full report
14 fixed5 passed either way3 still failing0 broke
Tokens, turns and time describe resource use, not a dollar price.
One of 13 test cases the skill fixed. Same model, same prompt, with and without the skill.
I want to inspect what optional arguments (like resolution, seed, or frame rate) are supported by a model generation script in this repo without actually triggering an API request. What flag do I pass?
| Checked | Without skill | With skill |
|---|---|---|
| Specifies the --list-params flag for parameter discovery | Missed | Passed |
The instructions your model reads when the skill loads.
Generate images and videos using MuleRouter or MuleRun multimodal APIs.
Before running any commands, verify the environment is configured:
# Check environment variables
echo "MULEROUTER_BASE_URL: $MULEROUTER_BASE_URL"
echo "MULEROUTER_SITE: $MULEROUTER_SITE"
echo "MULEROUTER_API_KEY: ${MULEROUTER_API_KEY:+[SET]}"
# Check for .env file
ls -la .env 2>/dev/null || echo "No .env file found"
Option A: Environment variables with custom base URL (highest priority)
export MULEROUTER_BASE_URL="https://api.mulerouter.ai" # or your custom API endpoint
export MULEROUTER_API_KEY="your-api-key"
Option B: Environment variables with site (used if base URL not set)
export MULEROUTER_SITE="mulerun" # or "mulerouter"
export MULEROUTER_API_KEY="your-api-key"
Option C: Create .env file
Create .env in the current working directory:
# Option 1: Use custom base URL (takes priority over SITE)
test cases passed, vs 4 / 18 without
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