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".
Best use case
castai-ci-integration is best used when you need a repeatable AI agent workflow instead of a one-off prompt.
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".
Teams using castai-ci-integration should expect a more consistent output, faster repeated execution, less prompt rewriting.
When to use this skill
- You want a reusable workflow that can be run more than once with consistent structure.
When not to use this skill
- You only need a quick one-off answer and do not need a reusable workflow.
- You cannot install or maintain the underlying files, dependencies, or repository context.
Installation
Claude Code / Cursor / Codex
Manual Installation
- Download SKILL.md from GitHub
- Place it in
.claude/skills/castai-ci-integration/SKILL.mdinside your project - Restart your AI agent — it will auto-discover the skill
How castai-ci-integration Compares
| Feature / Agent | castai-ci-integration | Standard Approach |
|---|---|---|
| Platform Support | Not specified | Limited / Varies |
| Context Awareness | High | Baseline |
| Installation Complexity | Unknown | N/A |
Frequently Asked Questions
What does this 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".
Where can I find the source code?
You can find the source code on GitHub using the link provided at the top of the page.
SKILL.md Source
# 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
```yaml
# .github/workflows/castai-check.yml
name: CAST AI Cost Check
on:
pull_request:
paths: ["terraform/**", "k8s/**"]
schedule:
- cron: "0 8 * * 1" # Weekly Monday report
jobs:
cost-check:
runs-on: ubuntu-latest
steps:
- uses: actions/checkout@v4
- name: Check CAST AI Savings
env:
CASTAI_API_KEY: ${{ secrets.CASTAI_API_KEY }}
CASTAI_CLUSTER_ID: ${{ secrets.CASTAI_CLUSTER_ID }}
run: |
SAVINGS=$(curl -s -H "X-API-Key: ${CASTAI_API_KEY}" \
"https://api.cast.ai/v1/kubernetes/clusters/${CASTAI_CLUSTER_ID}/savings")
PERCENT=$(echo "$SAVINGS" | jq -r '.savingsPercentage')
MONTHLY=$(echo "$SAVINGS" | jq -r '.monthlySavings')
echo "### CAST AI Savings Report" >> $GITHUB_STEP_SUMMARY
echo "- Monthly savings: \$${MONTHLY}" >> $GITHUB_STEP_SUMMARY
echo "- Savings percentage: ${PERCENT}%" >> $GITHUB_STEP_SUMMARY
# Fail if savings drop below threshold
if (( $(echo "$PERCENT < 10" | bc -l) )); then
echo "WARNING: Savings below 10% threshold"
exit 1
fi
- name: Verify Agent Health
env:
CASTAI_API_KEY: ${{ secrets.CASTAI_API_KEY }}
CASTAI_CLUSTER_ID: ${{ secrets.CASTAI_CLUSTER_ID }}
run: |
STATUS=$(curl -s -H "X-API-Key: ${CASTAI_API_KEY}" \
"https://api.cast.ai/v1/kubernetes/external-clusters/${CASTAI_CLUSTER_ID}" \
| jq -r '.agentStatus')
if [ "$STATUS" != "online" ]; then
echo "CAST AI agent is ${STATUS}, expected online"
exit 1
fi
```
### Step 2: Terraform Plan Validation
```yaml
terraform-plan:
runs-on: ubuntu-latest
steps:
- uses: actions/checkout@v4
- uses: hashicorp/setup-terraform@v3
- name: Terraform Init & Plan
working-directory: terraform/
env:
CASTAI_API_TOKEN: ${{ secrets.CASTAI_API_KEY }}
run: |
terraform init
terraform plan -var-file=environments/prod.tfvars \
-out=plan.tfplan -no-color | tee plan-output.txt
- name: Check for Destructive Changes
run: |
if grep -q "will be destroyed" terraform/plan-output.txt; then
echo "DESTRUCTIVE CHANGES DETECTED in CAST AI resources"
exit 1
fi
```
### Step 3: Store Secrets
```bash
gh secret set CASTAI_API_KEY --body "your-api-key"
gh secret set CASTAI_CLUSTER_ID --body "your-cluster-id"
```
## Error Handling
| Issue | Cause | Solution |
|-------|-------|----------|
| Secret not found | Missing `gh secret set` | Add secrets to repo |
| Savings check fails | Cluster not onboarded | Verify cluster ID is correct |
| Terraform init fails | State backend misconfigured | Check backend config |
| Agent offline in CI | Key scope mismatch | Use production API key |
## Resources
- [GitHub Actions Secrets](https://docs.github.com/en/actions/security-guides/encrypted-secrets)
- [CAST AI API Reference](https://api.cast.ai/v1/spec/openapi.json)
## Next Steps
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