Is there a limit to how many issues I can fetch?

The default is 100 issues per query to ensure performance, but you can increase this using the --limit parameter up to the JIRA API maximum (usually 1000).

Can I fetch closed bugs with this tool?

Yes, by default it fetches open bugs and those closed in the last 30 days, but you can use the --include-closed flag to widen the search.

How do I authenticate with JIRA?

You must set the JIRA_URL and JIRA_PERSONAL_TOKEN environment variables with your JIRA instance URL and a valid personal access token.

Does this skill summarize the JIRA tickets?

No, this skill returns raw, un-summarized JIRA data. Use the 'summarize-jiras' skill if you need statistical analysis or natural language summaries.

JIRA Issue Data Fetcher

Name: JIRA Issue Data Fetcher
Author: openshift-eng

byopenshift-eng

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Collaboration Tools

Fetches comprehensive, raw JIRA bug data and metadata for specific projects using the REST API.

About

This skill enables developers to extract complete JIRA issue information without summarization, providing a robust data source for deep analysis and automation workflows. By retrieving raw JSON data including custom fields, assignee details, and priority levels, it allows users to build custom reports or feed data into other processing tools. It simplifies JIRA API interactions by handling authentication through environment variables and offering granular filters for projects, components, and statuses, making it an essential utility for technical project management and health monitoring.

Key Features

Zero-dependency Python implementation for easy execution
Supports granular filtering by project, component, and status
29 GitHub stars
Optionally includes recently closed bugs for activity tracking
Fetches complete JIRA issue metadata in raw JSON format
Configurable results limit for large-scale data retrieval

Use Cases

Automating JIRA audit workflows to verify ticket metadata accuracy
Extracting bug data for offline analysis or custom reporting
Providing raw input for secondary AI-driven summarization tools

About

Key Features

Zero-dependency Python implementation for easy execution
Supports granular filtering by project, component, and status
29 GitHub stars
Optionally includes recently closed bugs for activity tracking
Fetches complete JIRA issue metadata in raw JSON format
Configurable results limit for large-scale data retrieval

Use Cases

Automating JIRA audit workflows to verify ticket metadata accuracy
Extracting bug data for offline analysis or custom reporting
Providing raw input for secondary AI-driven summarization tools