Why does Claude wait for CI to finish instead of just pushing?

Waiting ensures the remote environment—which may differ from local—validates the change, preventing 'broken main' scenarios and maintaining high repository trust.

What project types are supported for local testing?

The skill includes auto-detection for common frameworks including .NET (dotnet test), Node.js (npm test), Python (pytest), and Go (go test).

Can I use this with multi-workflow projects?

Yes, the skill is designed to monitor all workflows associated with a commit, ensuring that linting, building, and testing all pass before reporting success.

Does this skill require specific tools to be installed?

Yes, this skill requires the GitHub CLI (gh) and Git to be installed and authenticated on your system for Claude to monitor remote workflows.

What happens if the remote CI fails?

Claude is instructed to download the failure logs using the GitHub CLI, analyze the root cause, apply a fix, and restart the entire verification loop from the beginning.

Autonomous CI Verification

Name: Autonomous CI Verification
Author: ANcpLua

byANcpLua

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Deployment & DevOps

Mandates rigorous verification of local tests and remote CI workflows before finalizing any code changes or task completions.

About

The Autonomous CI Verification skill transforms how Claude handles task completion by enforcing a strict evidence-first protocol. It prevents premature success claims by requiring Claude to run local test suites, commit and push changes, and then actively monitor remote GitHub Actions workflows using the GitHub CLI. By blocking completion until all CI checks pass, this skill ensures high-quality code delivery, reduces broken builds, and eliminates common rationalizations for skipping verification in the development cycle.

Key Features

Automated failure analysis through detailed log retrieval and root-cause identification
Automated local test detection and execution for .NET, Node.js, Python, and Go
Strict verification protocol that blocks code commits until local tests pass
Standardized success reporting with evidence, including workflow links and commit SHAs
Real-time CI monitoring using GitHub CLI to watch and wait for remote workflow runs
1 GitHub stars

Use Cases

Automating the tedious push-and-wait cycle for complex projects with multiple GitHub Actions workflows
Preventing 'it works on my machine' issues by forcing verification in the remote CI environment
Ensuring pull requests are only created after both local and remote tests pass successfully

About

Key Features

Automated failure analysis through detailed log retrieval and root-cause identification
Automated local test detection and execution for .NET, Node.js, Python, and Go
Strict verification protocol that blocks code commits until local tests pass
Standardized success reporting with evidence, including workflow links and commit SHAs
Real-time CI monitoring using GitHub CLI to watch and wait for remote workflow runs
1 GitHub stars

Use Cases

Automating the tedious push-and-wait cycle for complex projects with multiple GitHub Actions workflows
Preventing 'it works on my machine' issues by forcing verification in the remote CI environment
Ensuring pull requests are only created after both local and remote tests pass successfully