GitHub Actions
List Workflow Runs
List recent workflow runs filtered by branch and failure status.
Use this recipe
Connect these apps through Metorial, then paste the prompt into Claude, ChatGPT, Cursor or any MCP client.
When a GitHub Actions workflow fails on a main branch, automatically retrieve the failure logs, identify the breaking change, and create a prioritized Linear bug report with full context for the on-call engineer. Use GitHub Actions and GitHub and Linear and Slack through Metorial. Tools to use: List Workflow Runs, Get Workflow Run, Get Workflow Run Logs, List Commits, Create Issue, Send Message.
How the workflow runs
The scenario uses specific integration tools at each step, while Metorial keeps access scoped and visible.
- 1
Detect failing workflow runs
List recent GitHub Actions runs on the main branch filtered to failed status to identify CI breakage.
- github-actions.list_workflow_runs
- 2
Retrieve failure details
Fetch step-level job details for the failing run to pinpoint which step and job broke.
- github-actions.get_workflow_run
- 3
Download failure logs
Get the log download URL and extract the relevant error output from the failing job.
- github-actions.get_workflow_run_logs
- 4
Identify the breaking commit
List recent commits on the branch to correlate the failure with a specific code change.
- github.list_commits
- 5
Create a Linear bug report
Open a high-priority Linear issue with the workflow name, failing step, log excerpt, and suspected commit.
- linear.create_issue
- 6
Alert the on-call engineer
Send a Slack message to the on-call channel with a summary of the failure and a link to the Linear bug report.
- slack.send_message
Integrations used in this scenario
GitHub Actions
Get Workflow Run
Retrieve detailed job and step-level failure information for a run.
GitHub Actions
Get Workflow Run Logs
Download logs for the failing job to identify the root cause.
GitHub
List Commits
List recent commits on the branch to identify the likely breaking change.
Linear
Create Issue
Create a high-priority Linear bug report with failure context and log excerpts.
Slack
Send Message
Alert the on-call engineer in Slack with a link to the Linear issue.
Connected systems
Integration
GitHub Actions
Manage GitHub Actions workflows, runs, jobs, artifact and log downloads, encrypted secrets, visible variables, caches, self-hosted runners, and repository Actions policies. Dispatch and rerun workflows, inspect pending environment reviews, and identify the connected GitHub user.
Integration
GitHub
Manage repositories, issues, and pull requests. Create and configure branches, star repositories, review code, and merge changes. Automate CI/CD workflows with GitHub Actions, manage workflow runs, secrets, and artifacts. Track issues with labels, milestones, and assignees. Search across code, repositories, issues, and users. Manage organizations, teams, and memberships. Create and manage projects, gists, packages, deployments, and environments. Access security alerts including code scanning, secret scanning, and Dependabot alerts. Read and write file contents in repositories. Manage webhooks, notifications, and codespaces.
Integration
Linear
Create, read, update, and delete issues across teams with support for priorities, labels, assignees, due dates, and workflow states. Manage projects that group related issues, and organize work into time-boxed cycles (sprints). Create and manage documents, comments, and file attachments. Search issues using vector similarity or rich filters. Configure teams, workflow states, and labels. Track customers and link them to issues.
Integration
Slack
Slack: connect with bot OAuth or user OAuth to work with messages, conversations, search, files, Canvases, Lists, profiles, reactions, reminders, and workspace productivity settings.
Expected outcomes
- CI failures are escalated to Linear and Slack within minutes of occurring
- On-call engineers receive full context without manually inspecting CI logs
- Breaking commits are identified automatically to speed up root cause analysis
- Main branch health is tracked through structured Linear issues
How Metorial powers this scenario
Metorial is the governed connection layer between your AI agents and the tools your company runs on. It turns workflows like monitor github actions ci failures and create linear bug reports into something you can deploy quickly, safely, and at scale.
Fast
Ready for your entire team
Connect 1000+ verified integrations through one Magic MCP URL instead of building and maintaining bespoke connectors for each system in this workflow.
Secure
Guardrails on every action
Protoguard inspects every message and tool call for prompt injection and policy violations before an agent touches your systems.
Enterprise
SSO, policies, and audit trails
Agents act on real identity under company SSO, with per-user and per-group access policies and a complete, searchable record of everything that happens.
Team ready
Reusable across your org
Package this workflow as a skill, attach the tools it needs, and let teammates run it through Portals — governed by admins, owned by the people who do the work.
Products behind this workflow
The Metorial products that connect, govern, and observe this scenario.
Connectivity
Integrations
Start from 1000+ verified integrations or bring your own, and give every one a governed path to your agents under existing SSO and access policies.
Connectivity
Magic MCP
A single URL your AI client connects to. Sign in with the login you already use and your agent reaches every integration and tool you allow — no per-app setup.
Identity
Access Control
Sign in with company SSO, set policies per user and group, and let agents act on real identity across every connected system in this workflow.
Governance
Protoguard
Metorial’s security layer reviews every message and tool request before an agent acts — catching prompt injection and blocking anything outside your policies.
Observability
Tracing
A complete, searchable record of everything your agents, team, and machines do across these integrations, so you can trust the workflow in production.
Governance
Portals
Let teammates connect agents to the integrations and skills your company already uses, with admins deciding who gets access to what.
Built for your whole team
However you adopt AI, Metorial has a path for connecting it safely.
Solution
For Agents
Give the agents behind this scenario governed access to every tool and integration they need, with one connection layer instead of bespoke glue code.
Solution
For Enterprise
SSO, granular access control, security review, and full audit trails so this workflow meets enterprise governance and compliance requirements.
Solution
For your Workforce
Let the people who do this work connect their own AI agents to approved integrations and reusable skills — safely, without waiting on engineering.
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