Investigate and Triage GitHub Issues Using Web Research for Context

For newly opened GitHub issues, search the web and relevant documentation pages to gather context about the reported problem, then add a structured comment with investigation findings and suggested next steps to help maintainers triage faster.

How the workflow runs

The scenario uses specific integration tools at each step, while Metorial keeps access scoped and visible.

  1. 1

    Retrieve newly opened untriaged issues

    List issues opened in the last 24 hours that do not yet have a triage label applied.

    • github:list_issues
    • github:get_issue
  2. 2

    Search for related existing issues

    Search the repository for open and closed issues with similar titles or error messages to identify duplicates or known problems.

    • github:search
  3. 3

    Research the reported problem on the web

    Search the web for the specific error message, library version, or behaviour described in the issue to find documentation, forum discussions, or known bugs.

    • metorial-search:webSearch
    • metorial-search:getWebContent
  4. 4

    Post a triage comment and apply labels

    Add a structured comment summarising related issues found, relevant documentation links, suggested reproduction steps, and a recommended label, then apply the label to the issue.

    • github:comment_on_issue
    • github:manage_labels

Integrations used in this scenario

github

List Issues

Retrieve newly opened issues that have not yet been triaged.

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github

Get Issue

Read the full issue body and labels for context.

View details

github

Search GitHub

Search for related issues or pull requests that may be relevant.

View details

metorial-search

Web Search

Search for information about the reported error or behaviour.

View details

metorial-search

Get Web Content

Fetch documentation or forum pages for additional context.

View details

github

Comment on Issue

Post a structured triage comment with findings and suggested steps.

View details

Connected systems

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.

View GitHub

Integration

Metorial Search

Search the web and fetch readable content from selected pages. Built for fast discovery and content extraction.

View Metorial Search

Expected outcomes

Outcome 1

New issues receive a research-backed triage comment within hours of being opened

Metorial keeps the workflow connected, governed, and traceable across the systems involved.

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Outcome 2

Maintainers can prioritise with context rather than starting investigation from scratch

Metorial keeps the workflow connected, governed, and traceable across the systems involved.

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Outcome 3

Duplicate issues are identified and cross-linked automatically

Metorial keeps the workflow connected, governed, and traceable across the systems involved.

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Outcome 4

Triage labels are applied consistently reducing queue management overhead

Metorial keeps the workflow connected, governed, and traceable across the systems involved.

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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 investigate and triage github issues using web research for context 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.

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Secure

Guardrails on every action

Protoguard inspects every message and tool call for prompt injection and policy violations before an agent touches your systems.

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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.

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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.

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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.

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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.

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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.

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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.

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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.

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Governance

Portals

Let teammates connect agents to the integrations and skills your company already uses, with admins deciding who gets access to what.

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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.

Agents solution

Solution

For Enterprise

SSO, granular access control, security review, and full audit trails so this workflow meets enterprise governance and compliance requirements.

Enterprise solution

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.

Workforce solution

Build this workflow with your own tools

Metorial gives teams one governed layer for connecting integrations to real production work.