Create Python policies that evaluate component metadata for compliance checks.
npx skills add https://github.com/earthly/skills --skill lunar-policy
Please help me install this Agent Skill. Skill: lunar-policy Source: https://github.com/earthly/skills/tree/main/skills/lunar-policy Command: npx skills add https://github.com/earthly/skills --skill lunar-policy
This Skill automates the enforcement of engineering standards by allowing you to write Python policies that evaluate component data and produce pass/fail checks.
lunar_policy SDK to define checks..k8s.workloads data.Use the lunar-policy skill to create a new policy that checks for the existence of a README file.
High-intent search queries and answers about installing and using this skill.
You can automate compliance checks by writing Python policies that evaluate component metadata and produce pass/fail checks. These policies integrate with CI/CD pipelines to enforce engineering standards automatically.
Yes, you can enforce Kubernetes guardrails by writing a Python policy that asserts conditions against component JSON data, such as checking the .k8s.workloads metadata to ensure services have valid readiness probes.
To check for a README file, create a Python script using the lunar_policy SDK to define assertions that evaluate the component metadata and return a pass or fail compliance result.
Data evaluation works by asserting specific conditions against component JSON data using the lunar_policy SDK, which navigates the data structure to verify operational readiness and produce pass/fail outcomes.
Yes, the policy framework supports dynamic configuration via inputs, allowing you to pass variable data into your Python scripts to evaluate code quality and security compliance across different components.
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