CI artifact completeness gate (Git push, Sentry artifact verification, commit)
This automated quality gate streamlines mobile development by verifying that essential Sentry debugging artifacts are present before allowing GitHub merges. It programmatically inspects releases for dSYM or ProGuard files and updates commit statuses to ensure every build remains fully symbolicated and debuggable. This workflow effectively prevents incomplete releases from progressing through the CI/CD pipeline.
Run this with your team's AIWhat This Recipe Does
The CI Artifact Completeness Gate ensures that your software delivery process remains reliable by automatically verifying that all required build artifacts are present before a release proceeds. In modern software development, missing documentation, binary files, or security manifests can lead to broken deployments and costly downtime. This automation monitors your GitHub repository and immediately validates the output of your continuous integration pipeline. By acting as an intelligent quality gate, it prevents incomplete builds from moving further down the delivery chain. This reduces the manual burden on engineering leads who would otherwise need to audit build logs, and it provides stakeholders with the confidence that every release meets the organization's technical standards. By catching missing components early, your team avoids the frustration of failed deployments and maintains a high velocity without sacrificing quality or compliance.
What your team gets
Forms and dashboards, so it is not a script only one person understands
Runs on your schedule in the cloud, so it does not stop when a laptop closes
Endpoints, so the rest of your stack can trigger the same work
GitHub connected for the team, not per person
How It Works
- 1
Open the recipe and connect your accounts
Connect GitHub once, in your team cloud, and nobody has to do it again on their own machine
- 2
Tell your own agent what is different about your process
Claude, ChatGPT, Cursor, whichever your team already uses. It adapts the recipe to how you actually work
- 3
Run it, then leave it running
It lives in your team cloud, so it keeps going after you close the laptop and every teammate's AI can use it
Who Uses This
- DevOps Managers use this to enforce release standards across multiple engineering teams without manual oversight.
- Quality Assurance leads use this to ensure that test reports and documentation are always attached to build artifacts before staging.
- Product Owners use this to guarantee that every customer-facing release contains all necessary assets and versioning information.
Frequently Asked Questions
What specific GitHub events trigger this validation process?
The automation is triggered automatically whenever a new build artifact is generated or a workflow run completes in your GitHub repository.
Can I define which specific files are required for a build to pass?
Yes, you can customize the logic to look for specific file names, extensions, or metadata required by your unique deployment process.
Does this require any additional software installed on our servers?
No, this solution connects directly to your GitHub account via API, requiring no local installation or server maintenance.
What happens if an artifact is found to be missing?
The workflow can be configured to halt the pipeline, notify the relevant developer, or log a failure in your project management tool to ensure immediate resolution.
Coming from n8n?
This recipe uses nodes like Code, GithubTrigger, HttpRequest, StickyNote. On Runwork, you don't need to learn n8n's workflow syntax. Describe what you want to your own AI agent in plain English.
Based on n8n community workflow. View original
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Run this with the AI your team already uses
Your agent adapts it, your team cloud keeps it running, and everyone's AI can find it.
Open this recipe in Runwork