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Run Oz agents in GitHub Actions to automate code review, issue triage, and CI fixes.

Run Oz agents directly in your GitHub Actions workflows using oz-agent-action. The agent integrates seamlessly into your CI pipeline, automating tasks like code review, issue triage, bug fixing, and maintenance using your repository context and GitHub permissions. This page covers how the integration works, how to set it up, and common automation patterns for development teams.

Watch this demo to see the integration in action:

In this demo

  • Automated PR reviews with both summary feedback and inline suggestions
  • One-click batching and committing of agent suggestions directly from the GitHub UI
  • Automatically fixing failing CI checks by opening a suggested PR
  • Suggesting fixes for small review comments (“nits”) without checking out code locally

The oz-agent-action is a GitHub Action that wraps the Oz CLI and:

  • Runs an Oz agent inside an Actions job
  • Caches package installation for faster builds
  • Captures the agent’s output for use in subsequent workflow steps
  • Lets you pass workflow context, event data, and previous step outputs into the agent prompt
  • Allows the agent to comment on PRs, post results, or open branches via the GitHub CLI
  • Supports inline code suggestions that can be batched and committed directly from the GitHub pull request UI
  • Enables using pre-built skills or custom skills for specialized tasks

To use Oz agents in GitHub Actions, you need:

  • A Warp API Key stored as a GitHub secret — this authenticates the agent with Warp
  • Workflow permissions that match your intended actions (for example, pull-requests: write if the agent should commit or comment on PRs) — the agent performs actions on your behalf using the GitHub token available to the workflow
  • The oz-agent-action step added to your workflow
  • For private repositories using @oz-agent mention workflows: The oz-agent GitHub user must be invited as a member of your GitHub organization (see Responding to comments with @ mentions for details)
  • Familiarity with GitHub Actions concepts — see the official docs for GitHub Actions

Skills provide reusable instructions for Oz agents. You can use pre-built skills from the oz-skills repository or create custom skills for your specific workflows. Skills can also be deployed as standalone agents to run on a schedule or in response to events.

You can specify a skill using the skill input parameter, either instead of or in combination with prompts:

- name: Run agent with a skill
uses: warpdotdev/oz-agent-action@v1
with:
skill: 'code-review'
warp_api_key: ${{ secrets.WARP_API_KEY }}

The skill parameter supports multiple formats for referencing skills:

  • skill_name - Searches for the skill in your repository’s skill directories
  • repo:skill_name - Uses a skill from a specific repository
  • org/repo:skill_name - Uses a skill from a specific organization’s repository

You can combine skills with prompts to provide specialized context while customizing the specific task:

with:
skill: 'code-review'
prompt: 'Focus on security vulnerabilities in authentication code'
warp_api_key: ${{ secrets.WARP_API_KEY }}

In this example, the code-review skill provides the base context and approach for code review, while the prompt narrows the focus to security concerns in authentication code.


The oz-agent-action supports several automation patterns commonly used in CI.

What it does:

  • Listens for comments containing a trigger phrase
  • Sends the comment and thread context into the agent
  • Agent replies directly to the comment
  • If code changes are requested, the agent commits fixes to the PR branch

When to use:

  • Interactive coding assistance during review or issue triage.
  • File: examples/review-pr.yml
  • Use case: Provide automated agent feedback when a PR is opened or marked ready for review.

What it does:

  • Automatically runs when PRs open or switch to “ready for review”
  • Agent inspects changed files, analyzes the diff, and comments inline
  • Optionally posts a summary comment

When to use:

  • Fast initial review before human reviewers step in.

What it does:

  • Detects when the label is added
  • Agent analyzes the issue description and repo context
  • Creates a PR with a fix (fix/issue-NUMBER)
  • Or comments explaining why automation wasn’t possible

When to use:

  • Automating bug fixes, small features, or maintenance tasks.

What it does:

  • Runs daily at 09:00 UTC
  • Fetches issues created in the past 24 hours
  • Generates a categorized summary
  • Sends the summary to Slack via webhook

When to use:

  • Daily visibility into new work across your repositories.

What it does:

  • Triggers when specified CI workflows fail
  • Pulls failure logs
  • Attempts to diagnose and fix the root cause
  • Opens a PR with the fix and comments with a link

When to use:

  • Reducing downtime from failing builds or flaky tests.
  • File: examples/suggest-review-fixes.yml
  • Use case: Automatically propose code suggestions for small, actionable review comments such as typos, naming tweaks, and minor refactors.

What it does:

  • Triggers when a pull request review is submitted
  • Fetches review comments and stores them in review_comments.json
  • Sends comments and context to an agent to decide which ones are simple, actionable fixes
  • Generates responses.json with explanations and suggestion blocks for each fixable comment
  • Replies inline to the original review comments with the generated suggestions

When to use:

  • Quickly addressing straightforward review feedback such as typos, naming tweaks, style nits, and small refactors.

@oz-agent mention doesn’t trigger the workflow

Section titled “@oz-agent mention doesn’t trigger the workflow”

If you’re tagging @oz-agent in a PR or issue comment and the workflow doesn’t run:

  1. Check org membership (private repos only): In private organizations, the oz-agent GitHub user must be a member of your organization. Without this, GitHub won’t recognize the mention and the issue_comment event won’t match the workflow trigger. Ask an org admin to invite oz-agent via Settings > People > Invite member.
  2. Verify the workflow file: Ensure your workflow is on the default branch and the trigger condition matches @oz-agent (e.g. contains(github.event.comment.body, '@oz-agent')).
  3. Check workflow permissions: The workflow must have the appropriate permissions (e.g. issues: read, pull-requests: write) to respond.

@oz-agent doesn’t appear in GitHub autocomplete

Section titled “@oz-agent doesn’t appear in GitHub autocomplete”

GitHub only suggests users who are members of the organization when typing @ in comments on private repositories. Invite oz-agent to your organization to make it appear in autocomplete.

Note: Even if @oz-agent doesn’t autocomplete, you can still type the mention manually — but the workflow will only trigger if the user is an org member (for private repos).