Kedro helps you build production-ready data and analytics pipelines
98
Pending
Does it follow best practices?
Impact
98%
1.32xAverage score across 20 eval scenarios
Pending
The risk profile of this skill
{
"context": "This evaluation assesses how well the engineer uses Kedro's plugin system to create custom CLI commands via entry points. It focuses on proper entry point registration, integration with Kedro's CLI framework, and correct usage of Kedro's context and session APIs.",
"type": "weighted_checklist",
"checklist": [
{
"name": "Entry Point Registration",
"description": "Uses setuptools entry points or pyproject.toml plugins configuration to register the CLI plugin under the 'kedro.project_commands' or 'kedro.global_commands' entry point group",
"max_score": 25
},
{
"name": "Click Command Group",
"description": "Creates a click.Group or CommandCollection using @click.group() decorator and returns it from the entry point function",
"max_score": 20
},
{
"name": "Kedro Context Access",
"description": "Uses click.pass_obj or click.get_current_context() to access the Kedro context/session, and retrieves pipelines using context.pipelines or session.load_context().pipelines",
"max_score": 25
},
{
"name": "Pipeline Inspection",
"description": "Uses Pipeline attributes such as .nodes, .inputs(), .outputs() to gather pipeline statistics",
"max_score": 15
},
{
"name": "Click Decorators",
"description": "Uses @click.command() decorator to define individual commands and @click.option() or @click.argument() to define command parameters",
"max_score": 10
},
{
"name": "Command Output",
"description": "Uses click.echo() or click.secho() for command output rather than print() statements",
"max_score": 5
}
]
}