magpie-contributor-sentiment

Analyze GitHub issue and pull request sentiment against a baseline for stability readiness.

79|76|Updated Apr 28, 2026

Search Tags:#GitHub #sentiment analysis #performance evaluation #contributor experience #project stability

Ready to run

npx skills add https://github.com/apache/magpie --skill magpie-contributor-sentiment

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: magpie-contributor-sentiment
Source: https://github.com/apache/magpie/tree/main/skills/contributor-sentiment
Command: npx skills add https://github.com/apache/magpie --skill magpie-contributor-sentiment

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) and references (resource) components.

What problem does it solve?

This Skill helps project maintainers understand and measure the sentiment and readiness of contributors for a project's stability transition from experimental to stable phase.

Core Features & Use Cases

Sentiment Analysis: Measures the tone of initial contributor responses to issues and pull requests.
Readiness Evaluation: Provides a structured report for evaluating the readiness of a skill family for advancement.
Use Case: After at least two release cycles of using Magpie, maintainers can run this skill to evaluate if the project is healthier for contributors, which can inform promotion decisions.

Quick Start

Run the 'contributor-sentiment' skill to evaluate the project's health and readiness.

Frequently Asked Questions about magpie-contributor-sentiment

High-intent search queries and answers about installing and using this skill.

FAQPage Schema

How do I measure contributor sentiment on GitHub issues and pull requests?▼

You can measure contributor sentiment on GitHub issues and pull requests by utilizing the GitHub API to fetch data and analyze the tone of initial responses, generating structured reports for project evaluation.

When do I need to evaluate project readiness for advancing from experimental to stable?▼

You need to evaluate project readiness for advancing from experimental to stable after at least two release cycles, using contributor sentiment and health metrics to inform promotion decisions.

Can I use GitHub API data to assess project stability and contributor experience?▼

Yes, you can use the GitHub API to fetch issue and pull request data, analyze contributor sentiment, and compare it against a baseline to assess project stability and contributor experience.

What is the best way to analyze contributor sentiment for maintenance evaluation?▼

The best way to analyze contributor sentiment for maintenance evaluation is to measure the tone of initial responses on GitHub issues and pull requests, comparing results with a baseline to produce a structured readiness report.

Does contributor sentiment analysis require a baseline comparison for performance evaluation?▼

Yes, contributor sentiment analysis requires a baseline comparison to accurately determine the readiness of contributors for a project's stability transition from experimental to stable.

How does contributor sentiment analysis determine readiness for project stability?▼

Contributor sentiment analysis determines readiness for project stability by evaluating the tone of contributor responses on GitHub issues and pull requests, comparing them with a baseline, and outputting structured reports for maintenance evaluation.