Python and Django SDK for Cloudinary, a cloud-based image and video management service with comprehensive transformation, optimization, and delivery capabilities
94
Pending
Does it follow best practices?
Impact
94%
1.08xAverage score across 10 eval scenarios
Pending
The risk profile of this skill
{
"context": "This criteria evaluates how well the engineer uses the Cloudinary Python SDK to generate image URLs with quality transformations. The focus is on proper usage of Cloudinary's quality parameter in URL generation, including both numeric and automatic quality settings.",
"type": "weighted_checklist",
"checklist": [
{
"name": "cloudinary_url import",
"description": "Uses cloudinary.utils.cloudinary_url function to generate URLs with transformations",
"max_score": 15
},
{
"name": "quality parameter usage",
"description": "Correctly passes the quality parameter to cloudinary_url with both integer and string values",
"max_score": 25
},
{
"name": "numeric quality values",
"description": "Handles numeric quality values (1-100) correctly and verifies they appear as q_N in generated URLs",
"max_score": 15
},
{
"name": "auto quality modes",
"description": "Handles automatic quality modes ('auto', 'auto:good', 'auto:best', 'auto:eco', 'auto:low') correctly",
"max_score": 20
},
{
"name": "transformation chaining",
"description": "Combines quality parameter with other transformation parameters (width, height, crop, format) in cloudinary_url calls",
"max_score": 15
},
{
"name": "configuration usage",
"description": "Uses cloudinary.config() to configure cloud_name or reads from environment for proper URL generation",
"max_score": 10
}
]
}docs
evals
scenario-1
scenario-2
scenario-3
scenario-4
scenario-5
scenario-6
scenario-7
scenario-8
scenario-9
scenario-10