castai-ci-integration
Integrate CAST AI policy validation and cost checks into CI/CD pipelines. Use when adding CAST AI savings verification to GitHub Actions, validating Terraform plans, or gating deployments on cost thresholds. Trigger with phrases like "cast ai CI", "cast ai github actions", "cast ai terraform CI", "cast ai pipeline". '
npx skills add jeremylongshore/claude-code-plugins-plus-skills --skill castai-ci-integration --agent claude-code
Same command for any agent — swap --agent for codex, cursor, copilot.
Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.
# CAST AI CI Integration ## Overview Add CAST AI cost validation to CI/CD pipelines: verify savings thresholds, validate Terraform plans before apply, and gate deployments on autoscaler health. ## Prerequisites - GitHub Actions enabled - CAST AI API key stored as repository secret - Terraform state accessible from CI (if using Terraform) ## Instructions ### Step 1: GitHub Actions -- Savings Gate `
What does the castai-ci-integration skill do?
Integrate CAST AI policy validation and cost checks into CI/CD pipelines. Use when adding CAST AI savings verification to GitHub Actions, validating Terraform plans, or gating deployments on cost thresholds. Trigger with phrases like "cast ai CI", "cast ai github actions", "cast ai terraform CI", "cast ai pipeline". '
How do I install it?
Run `npx skills add jeremylongshore/claude-code-plugins-plus-skills --skill castai-ci-integration --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.
Where does this skill come from?
From jeremylongshore/claude-code-plugins-plus-skills, a repository with 2,596 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.
Is a popular skill a good skill?
Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.