Which AI agents and environments are compatible with JiraAuditor?

JiraAuditor Premium Package is compatible with any MCP-enabled environment, including Claude Desktop, Cursor, and VS Code, provided you have a Jira Cloud account and Node.js v18+.

How does this audit differ from just asking my AI to look at my Jira tickets?

Unlike standard prompts, this skill uses Jira's internal category IDs and custom scoring logic to provide objective 0-100 risk assessments that ignore language barriers and optimistic labeling.

What is required to set up the connection between my Jira instance and the agent?

Setup is straightforward: you provide your Jira domain, email, and API token to the agent; the package handles the complex data mapping and risk calculations automatically.

What exactly is included in the JiraAuditor Premium Package purchase?

You receive the full production-ready skill files, a configuration guide for MCP environments, and access to any minor version updates and bug fixes for the current release cycle.

Does this skill support Jira Data Center or on-premise installations?

Currently, the skill is optimized exclusively for Jira Cloud; it does not support self-hosted Jira Server or Data Center versions due to differences in API structures.

JiraAuditor Premium Package

Example session with this skill installed

Audit the sprint for project 'PROJ' and predict if we will finish on time. Also list tickets with a risk score over 70.

Read your context and instructions
Compiled the jiraauditor premium package

I have analyzed the current active sprint for project 'PROJ'. Based on the current velocity and distribution of story points, there is a high risk of carryover for this sprint.

Sprint Audit: Project PROJ (Sprint 24)

Metric	Value	Status
Total Story Points	48	-
Completed Points	12	25% Complete
Remaining Points	36	75% Remaining
Days Remaining	3	High Pressure
Predicted Success Rate	38%	At Risk

High Risk Tickets (>70)

Key	Summary	Risk Score	Primary Risk Factor
PROJ-442	API Gateway Rate Limiting	92	Blocked & 4 days overdue
PROJ-451	Database Migration Script	85	High Priority & Unassigned
PROJ-448	Frontend Auth Bug	74	Reopened 3 times

Analysis Summary
The sprint is currently lagging behind the target velocity. The primary bottleneck is PROJ-442, which is currently blocked by an external dependency and carries the highest risk score. PROJ-451 is a high-priority task that remains unassigned, contributing significantly to the predicted delay.

Next steps

Assign a developer to PROJ-451 immediately to begin work.
Resolve the blocker on PROJ-442 or move it to the next sprint to normalize velocity.
Review the status of PROJ-448 to prevent a fourth reopening.

Connects securely to your tools. The creator never sees your data.

About this skill

Jira dashboards often hide the reality of project health behind optimistic charts. This skill enables your AI agent to perform deep-dive audits of Jira projects to find overdue tasks, unassigned work, and hidden risks that derail sprints. It moves beyond basic read access by providing actual analysis and predictive scoring.

What it does

Sprint success prediction analyzes story point distribution to forecast if a sprint will complete on time.
Dynamic risk scoring calculates a 0 to 100 score for every ticket based on priority, age, and blockers.
Velocity tracking monitors team output trends to identify sudden drops or bottlenecks.
Language-agnostic detection identifies ticket status using Jira's category IDs rather than text strings, supporting multilingual workflows.

How it works

Connect the agent to your Jira Cloud instance using your domain, email, and API token.
Invoke an audit by requesting a sprint review or a project-wide health check.
Analyze the output to identify high-risk tickets and velocity blockers.
Prioritize work based on the 0 to 100 risk scores provided for specific issues.

Frameworks & tools

This skill requires a Jira Cloud account with API access and an MCP-compatible environment like Claude Desktop, Cursor, or VS Code. It runs on Node.js v18 or higher.

Why this beats prompting it yourself

Standard prompts lack the logic to calculate complex risk scores or interpret Jira's underlying status categories across different languages. This skill provides a structured analysis layer that converts raw API data into actionable project management insights.

Use cases

Audit a current sprint to predict success rates before the deadline.
Identify the top 5 high-risk tickets in a backlog using exact 0 to 100 scoring.
Track team velocity across multiple projects to spot systemic bottlenecks.
Manage multilingual teams where status names are not in English.

Known limitations

Requires Jira Cloud; self-hosted Jira Server or Data Center versions are not supported. Only analyzes data available through the Jira API permissions granted to the token.

How to use

Skills on Agensi run inside your AI agent. Copy the prompt, paste it into your agent, and it connects to Agensi and installs this skill for you. If a payment is needed, your agent shows it to you first.

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JiraAuditor Premium Package