GitHub Issue Prioritization Agent
Automatically summarize GitHub issues and flag priority based on sentiment, reactions, and competitor mentions to help teams triage faster.
Overview
This agent reviews GitHub issues and comments to generate a summary, sentiment analysis, and urgency score. It considers reactions, tone, comment volume, and competitive mentions helping teams triage faster and flag issues for escalation.
Tools used by this agent
GitHub: Retrieves issue details and comment threads
Slack: Posts summaries and highlights for team awareness
How does this agent work?
Trigger the agent using a customizable Slack command, such as /summarize-issue. Then, the agent:
Fetches the issue body and all comments, handling pagination automatically
Processes the content to:
Summarize the overall request or bug report
Detect sentiment ( such as frustration, urgency)
Count reactions, upvotes, and comment volume
Identify competitive mentions or user workarounds
Posts the analysis to a Slack channel or user
Get started fast. Clone this agent template in Postman
Use TemplateHow to use this template
This agent requires the following configurations to function:
Github | - github_pat |
Set up the template
To set up the template, do the following:
Clone the agent template from the Flows workspace.
Set up Slack:
Create a Slack app.
In Postman, open the module’s Configurations panel and save the following credentials:
slack_bot_token
slack_user_id
Create a slash command, such as
/gitsummary
, with read and write access.
Set up GitHub:
Obtain your GitHub personal access token with access to the repositories that contain your issues.
In Postman, open the module’s Configurations panel and save the token as
github_personal_access_token
.
Deploy the agent to the Postman cloud.
Copy the
action_url
from the deployment output.Set the Request URL of the slash command to your action URL. This connects your Slack app to the agent.
In Slack, use your slash command with a GitHub issue URL to confirm it works. Example:
/gitsummary issue url
The agent will reply with:Summary of the issue
Sentiment score
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