Check Ci
ListedAutomates CI/CD pipeline health checks using AI to identify potential failures and optimize build processes.
Install on your platform
check-ci. metta-ai/tribal-village is deleted or private, so it cannot be installed from.We check each listing against its upstream repository with the rules the skills CLI uses, last on 2026-10-22. We don't show a command we know will fail.
What we know about this skill
Publisher
metta-ai
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Install target
Live repository
Not pinned. Installing fetches whatever the repository holds at the time you run the command.
Automated safety checks
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About this skill
What it does
The metta-ai/check-ci skill allows AI agents to verify the status of continuous integration (CI) pipelines. It checks if a CI run has succeeded or failed, providing feedback on build and test results. This enables automated responses based on CI pipeline health, such as triggering deployments or alerting teams.
When to use it
- Automated Deployment: Use this skill to conditionally trigger deployment processes only when the CI pipeline passes all tests.
- Incident Response: Alert a team member if a CI build fails, indicating potential issues requiring immediate attention.
- Status Monitoring: Regularly check the status of a CI pipeline and report its health in dashboards or summaries.
- Release Management: Integrate with release management tools to automatically advance builds based on successful CI runs.
Key capabilities
- CI Status Checks: Determines if a CI run has passed or failed.
- Pipeline Health Reporting: Provides feedback on build and test results.
- Automated Responses: Triggers actions based on CI pipeline health.
Example prompts
- "Check the status of the main branch CI pipeline."
- "Is the 'feature/new-login' branch CI build successful?"
- "Report the current health of the production deployment pipeline."
Tips & gotchas
Requires access to a CI system (e.g., GitHub Actions, GitLab CI) and appropriate credentials for authentication. The specific format of the CI status information may vary depending on the CI provider, potentially requiring adjustments to the skill's configuration.