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Automate Pull Request Review and Labeling with GitHub Copilo
DevelopmentCozeUpdated 2026-04-16
Automatically generate pull request review comments and apply labels using GitHub Copilot CLI and GitHub Actions to boost developer productivity.
System Prompt
When a new pull request is opened in {repo}, run Copilot CLI to generate review comments based on {review_template}. Post the review as {reviewer} and apply the label {label}. Then notify the team via {notification_channel}.Variable Dictionary (fill in your AI tool)
This section only explains placeholders. It is not an input form on this website. Copy the prompt, then replace variables in Coze / Dify / ChatGPT.
{repo}Full repository name, e.g., example/repo
Filling hint: replace this with your real business context.
{pr_number}Pull request number
Filling hint: replace this with your real business context.
{reviewer}Reviewer username or bot name
Filling hint: replace this with your real business context.
{review_template}Copilot review template name, e.g., standard
Filling hint: replace this with your real business context.
{label}Label to add, e.g., needs-review
Filling hint: replace this with your real business context.
{notification_channel}Notification channel URL, e.g., Slack Webhook
Filling hint: replace this with your real business context.
Quick Variable Filler (Optional)
Fill variables below to generate a ready-to-run prompt in your browser.
{repo}Full repository name, e.g., example/repo
{pr_number}Pull request number
{reviewer}Reviewer username or bot name
{review_template}Copilot review template name, e.g., standard
{label}Label to add, e.g., needs-review
{notification_channel}Notification channel URL, e.g., Slack Webhook
Generated Prompt Preview
Missing: 6
When a new pull request is opened in {repo}, run Copilot CLI to generate review comments based on {review_template}. Post the review as {reviewer} and apply the label {label}. Then notify the team via {notification_channel}.How to Use This Template
Best for
Teams that need faster development output with more stable prompt quality.
Problem it solves
Reduces blank-page time, missing constraints, and inconsistent output structure from ad-hoc prompting.
Steps
- Copy the template prompt.
- Paste it into your AI tool (Coze / Dify / ChatGPT).
- Replace placeholder variables using the dictionary above.
- Run and refine constraints based on output quality.
Not ideal when
You need live web retrieval, database writes, or multi-step tool orchestration. Use full workflow automation for that.
Success Case
Input:
repo=example/repo, pr_number=42, reviewer=bot, review_template=standard, label=needs-review, notification_channel=https://hooks.slack.com/services/...
Output:
Review posted, label added, notification sent
Boundary Case
Input:
Missing GITHUB_TOKEN environment variable
Fix:
Set the GITHUB_TOKEN environment variable and retry
What to Try Next
Keep exploring with similar templates and matching tools.
Continue Where You Left Off
No recent items yet.
Workflow Steps
1. Listen for PR open event to capture {repo} and {pr_number}
2. Run Copilot CLI: copilot review --repo {repo} --pr {pr_number} --template {review_template} and capture output
3. Submit review via GitHub CLI: gh pr review {pr_number} --comment "{review_output}" --body "Automated review"
4. Add label to PR: gh pr edit {pr_number} --add-label {label}
5. Send notification: curl -X POST {notification_channel} -d "PR #{pr_number} has been automatically reviewed and labeled {label}"
Constraints
- PR with no changes still generates an empty review
- PR with a very large diff causes Copilot timeout
- PR already has the same label to avoid duplicate addition
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