name: cloud-native-devops-env version: "1.0.0" description: > Debug broken GitHub Actions workflows, Dockerfiles, and Kubernetes manifests. AI agents identify and fix cloud-native deployment pipeline issues. author: Krishna license: MIT tags: - devops - docker - github-actions - kubernetes - debugging - infrastructure - cloud-native environment: type: text observation_space: structured action_space: structured max_steps: 10 tasks: - id: dockerfile_syntax name: Dockerfile Syntax Errors description: Fix syntax and instruction errors in Dockerfiles difficulty: easy num_scenarios: 5 - id: dockerfile_runtime name: Dockerfile Runtime Errors description: Fix runtime/container execution issues in Dockerfiles difficulty: medium num_scenarios: 5 - id: workflow_syntax_structure name: Workflow Syntax and Structure description: Fix GitHub Actions YAML syntax and job structure issues difficulty: easy num_scenarios: 5 - id: workflow_secrets_permissions name: Workflow Secrets and Permissions description: Fix secret wiring, env usage, and permissions in workflows difficulty: medium num_scenarios: 5 - id: ci_docker_integration name: CI and Docker Build Integration description: Debug combined workflow and Docker build integration failures difficulty: medium-hard num_scenarios: 5 - id: multi_stage_pipeline_matrix name: Multi-Stage Pipeline and Matrix description: Debug complex multi-stage and matrix CI/CD pipelines difficulty: hard num_scenarios: 5 - id: k8s_pod_failures name: Kubernetes Pod Failures description: Fix Kubernetes pod failures including CrashLoopBackOff, ImagePullBackOff, and resource issues difficulty: medium num_scenarios: 5 - id: k8s_networking name: Kubernetes Service & Ingress Issues description: Fix Kubernetes networking issues including Service selectors, port mismatches, and Ingress configuration difficulty: hard num_scenarios: 5 - id: pipeline_build_deploy name: CI/CD Build & Push Pipeline description: Debug GHA-to-Docker-to-Registry pipeline failures across multiple files difficulty: hard num_scenarios: 5 - id: pipeline_full_stack name: Full Stack Deployment Pipeline description: Debug complex multi-error deployment pipelines across GHA workflows, Dockerfiles, and Kubernetes manifests difficulty: expert num_scenarios: 5 graders: dockerfile_syntax: type: deterministic score_range: [0.0, 1.0] dockerfile_runtime: type: deterministic score_range: [0.0, 1.0] workflow_syntax_structure: type: deterministic score_range: [0.0, 1.0] workflow_secrets_permissions: type: deterministic score_range: [0.0, 1.0] ci_docker_integration: type: deterministic score_range: [0.0, 1.0] multi_stage_pipeline_matrix: type: deterministic score_range: [0.0, 1.0] k8s_pod_failures: type: deterministic score_range: [0.0, 1.0] k8s_networking: type: deterministic score_range: [0.0, 1.0] pipeline_build_deploy: type: deterministic score_range: [0.0, 1.0] pipeline_full_stack: type: deterministic score_range: [0.0, 1.0] baseline: script: inference.py expected_scores: dockerfile_syntax: 0.70 dockerfile_runtime: 0.55 workflow_syntax_structure: 0.65 workflow_secrets_permissions: 0.50 ci_docker_integration: 0.45 multi_stage_pipeline_matrix: 0.30 k8s_pod_failures: 0.50 k8s_networking: 0.40 pipeline_build_deploy: 0.35 pipeline_full_stack: 0.20 resources: vcpu: 2 memory: 8gb timeout: 1200