How do I install the Github Issue Analyzer skill?

Run npx skillmds@latest add majiayu000/github-issue-analyzer in your terminal (requires Node.js), paste this page's agent-chat prompt into Claude, Cursor, or any MCP-connected agent, or download the SKILL.md file and copy it into your agent's skills directory.

Is Github Issue Analyzer safe to use?

This skill has not completed SkillMD's automated safety review yet. Independent scanners report: SkillSpector: PASS, Skill Scanner: PASS. Capability flags: docs only. SkillMD never runs a skill's scripts for you; review the SKILL.md before installing.

Which AI agents work with Github Issue Analyzer?

This skill is tagged as working with Claude Code, Claude.ai, OpenAI Codex. SKILL.md is an open format, so most agents that read a skills directory can load it too.

Is Github Issue Analyzer free to use?

Yes. Installing skills from SkillMD is free, and the skill stays under its author's original license.

Who published Github Issue Analyzer?

majiayu000 (@majiayu000) published this skill. Their other Agent Skills are listed on their SkillMD profile.

Github Issue Analyzer by majiayu000

Name: Github Issue Analyzer
Rating: 4.2 (5 reviews)
Author: majiayu000

Github Issue Analyzer

Fetches issues from any GitHub repository with recent activity and generates a prioritized report by analyzing issue state, labels, and comment counts to identify high-priority bugs, enhancements, and good first issues for contributors.

majiayu000 Updated Sep 9, 2026 567 repo stars

File contents

GitHub Issue Analyzer

Instructions

This skill fetches GitHub issues from any repository and generates a comprehensive prioritized report. It's useful for understanding project health, identifying what needs attention, and helping new contributors find good starting issues.

Usage

Import the analyzer function
Call it with a repository owner and name
Optionally specify the number of days for "recent activity" (default: 30)
The function returns a structured report and saves raw data to ./workspace/

Features

Automatic Categorization: Issues are categorized into HIGH, MEDIUM, LOW priority and "Good First Issues"
Smart Filtering: Identifies bugs vs enhancements, counts active discussions
Activity-Based Ranking: Sorts by comment count and recency
Comprehensive Report: Includes summary statistics, top 10 recommended issues, and full issue listings

Priority Logic

HIGH PRIORITY: Open bugs OR open issues with >3 comments
MEDIUM PRIORITY: Open enhancements/feature requests
LOW PRIORITY: Closed issues or less active items
GOOD FIRST ISSUES: Issues explicitly labeled as beginner-friendly

Examples

import { analyzeGitHubIssues } from './.claude/skills/github-issue-analyzer/implementation';

// Basic usage - analyze last 30 days
const report = await analyzeGitHubIssues('modelcontextprotocol', 'inspector');

// Custom timeframe - analyze last 60 days
const report = await analyzeGitHubIssues('modelcontextprotocol', 'inspector', 60);

// Report includes:
// - summary statistics
// - top 10 recommended issues with explanations
// - categorized issues by priority
// - actionable insights and next steps

Output Files

The skill automatically saves:

./workspace/all-issues.json - Raw issue data (100 issues per page)
./workspace/issue-report.md - Formatted markdown report

Dependencies

MCP Tool: list_issues from GitHub server

---name: github-issue-analyzerdescription: Fetches issues from any GitHub repository with recent activity and generates a prioritized report by analyzing issue state, labels, and comment counts to identify high-priority bugs, enhancements, and good first issues for contributors.--- # GitHub Issue Analyzer ## Instructions This skill fetches GitHub issues from any repository and generates a comprehensive prioritized report. It's useful for understanding project health, identifying what needs attention, and helping new contributors find good starting issues. ### Usage 1. Import the analyzer function 2. Call it with a repository owner and name 3. Optionally specify the number of days for "recent activity" (default: 30) 4. The function returns a structured report and saves raw data to `./workspace/` ### Features - **Automatic Categorization**: Issues are categorized into HIGH, MEDIUM, LOW priority and "Good First Issues" - **Smart Filtering**: Identifies bugs vs enhancements, counts active discussions - **Activity-Based Ranking**: Sorts by comment count and recency - **Comprehensive Report**: Includes summary statistics, top 10 recommended issues, and full issue listings ### Priority Logic - **HIGH PRIORITY**: Open bugs OR open issues with >3 comments - **MEDIUM PRIORITY**: Open enhancements/feature requests - **LOW PRIORITY**: Closed issues or less active items - **GOOD FIRST ISSUES**: Issues explicitly labeled as beginner-friendly ## Examples ```typescript import { analyzeGitHubIssues } from './.claude/skills/github-issue-analyzer/implementation'; // Basic usage - analyze last 30 days const report = await analyzeGitHubIssues('modelcontextprotocol', 'inspector'); // Custom timeframe - analyze last 60 days const report = await analyzeGitHubIssues('modelcontextprotocol', 'inspector', 60); // Report includes: // - summary statistics // - top 10 recommended issues with explanations // - categorized issues by priority // - actionable insights and next steps ``` ## Output Files The skill automatically saves: - `./workspace/all-issues.json` - Raw issue data (100 issues per page) - `./workspace/issue-report.md` - Formatted markdown report ## Dependencies - MCP Tool: `list_issues` from GitHub server

Frequently asked questions