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Your first run

This walkthrough takes you from a blank Portal to a completed benchmark run. You’ll submit a small “hello world” task to GitHub Copilot, watch the logs stream in, and view the evaluation report.

In Scope, you submit a request (task prompt + criteria + profile). Scope creates one run per execution attempt — see Concepts.

  • You can reach the Portal for your deployment.
  • You don’t need to set anything up — the catalog ships with example task prompts, criteria sets, and a default Copilot setup.

Navigate to the Portal URL provided for your deployment, for example https://your-scope.example.com.

The home view lists recent runs across all users. The left navigation takes you to runs, tasks, criteria, profiles, prompt features, and more.

Click New Run in the navigation. The form asks for three things:

  1. Task prompt — type the text (or pick from recently used suggestions). Scope catalogs distinct prompts on the Tasks page for you, de-duplicated by text.
  2. Criteria — pick a criteria set from the dropdown (or create one on the Criteria page first).
  3. Profile or inline configuration — pick a Copilot profile, or set worker = GitHub Copilot CLI and a model inline.

For your first run, type or paste a simple task like “Create a Hello World Node.js / Express REST API.” and pick a matching criteria set from the catalog (e.g. hello-world-express).

Open the profile dropdown and pick a profile that uses the GitHub Copilot CLI coding agent (any profile labeled with the GitHub Copilot CLI agent will do).

If no Copilot profile exists yet, you can configure inline:

  • Worker: GitHub Copilot CLI
  • Model: any model offered in the dropdown (e.g. gpt-4o)
  • Leave MCP servers, skills, and extensions empty

You can save your inline configuration as a profile later — see Defining profiles.

Click Submit. The Portal navigates to the request detail page.

Logs stream in real time as the worker executes the run. You’ll see:

  • The agent receiving the prompt.
  • Each tool call (read file, write file, run command).
  • Any responses from the agent back to the prompt.

The status badge at the top tracks the request lifecycle: pending → queued → processing → done (with paused as a separate state you can toggle). The terminal outcomesucceeded, failed, or finished — is shown alongside done.

Once the run completes, open the Report tab — one entry per criterion, with pass/fail and a short rationale from the judge.

For hello-world-express, you should see entries like:

  • Has a package.json with express as a dependency
  • Has a main entry file that creates an Express server
  • Has a GET / route that returns a hello-world response

If a criterion fails, the rationale explains why — useful when diagnosing prompt or criteria issues.

Now that you’ve run a benchmark, you’ll probably want to: