Oss Kpi Evaluation

OSS KPI Evaluation Skill

A Claude Code skill that evaluates open source projects against Key Performance Indicators using multi-agent research. Performs live web research to gather current metrics on community health, maintenance, security, documentation, adoption, and code quality.

Features

• Comprehensive Evaluation: Analyzes 30 metrics across 6 KPI categories
• Multi-Agent Research: Parallel subagents gather data independently to prevent bias
• Evidence-Based: Every metric includes source URLs and timestamps
• Bias Prevention: Strict protocols ensure objective, verifiable assessments
• Customizable: Adjust category weights or focus on specific areas

KPI Categories

Category	Weight	What It Measures
Community Health	16.67%	Contributor count, growth rate, bus factor, engagement
Maintenance	16.67%	Commit frequency, release cadence, issue/PR resolution time
Security	16.67%	Security policy, vulnerability disclosure, dependency status
Documentation	16.67%	README, API docs, guides, changelog, contributing guide
Adoption	16.67%	Stars, forks, downloads, dependent projects
Code Quality	16.67%	Tests, coverage, CI/CD, code review practices

Installation

From GitHub Repository

Add the marketplace and install the plugin:

/plugin marketplace add maxamillion/skill-oss-project-kpi-evaluation
/plugin install oss-kpi-evaluation@maxamillion-skill-oss-project-kpi-evaluation

Or use the interactive plugin manager:

/plugin

From Local Clone

1. Clone the repository:

   git clone https://github.com/maxamillion/skill-oss-project-kpi-evaluation.git
   

2. Add as a local marketplace and install:

   /plugin marketplace add ./skill-oss-project-kpi-evaluation
   /plugin install oss-kpi-evaluation@skill-oss-project-kpi-evaluation
   

Requirements

• Claude Code CLI: Latest version
• GitHub CLI (gh): Authenticated for API access
• Internet Access: Required for live web research

Usage

Basic Evaluation

Evaluate the project: https://github.com/fastapi/fastapi

Focused Evaluation

Evaluate specific categories:

Evaluate https://github.com/psf/requests focusing on security and maintenance

Custom Weights

Adjust category importance:

Evaluate https://github.com/owner/repo with weights:
- Security: 30%
- Maintenance: 25%
- Community: 15%
- Adoption: 15%
- Documentation: 10%
- Code Quality: 5%

Minimum Score Threshold

Set a pass/fail threshold:

Evaluate https://github.com/owner/repo with minimum score 4.0

Output

The skill generates a structured report containing:

1. Executive Summary: Overall score (1-5), key strengths and concerns
2. Category Details: Per-category scores with evidence tables
3. Cross-Validation Results: Discrepancy reports between data sources
4. Data Quality Assessment: Missing or stale data warnings
5. Sources: Complete list of URLs with retrieval timestamps

Score Interpretation

Score	Rating	Meaning
4.5-5.0	Excellent	Low risk, high quality project
3.5-4.4	Good	Healthy project, minor improvements needed
2.5-3.4	Adequate	Acceptable but review carefully
1.5-2.4	Concerning	Significant risks, proceed with caution
1.0-1.4	Critical	Major issues, high risk adoption

Use Cases

• Adoption Decisions: Should we use this OSS project?
• Investment Analysis: Is this project healthy enough to fund?
• Project Comparison: Which library should we choose?
• Due Diligence: What are the risks of this dependency?
• Risk Assessment: Are there maintenance, security, or community risks?

Limitations

• GitHub Only: Projects must be hosted on GitHub
• Single Project: Evaluates one project per invocation
• English Language: Optimized for English-language projects

Documentation

Detailed documentation is available in the oss-kpi-evaluation/skills/oss-kpi-evaluation/references/ directory:

Document	Description
KPI-FRAMEWORK.md	Complete metric definitions and scoring rubrics
DATA-SOURCES.md	Data collection methods and APIs
RESEARCH-PROMPTS.md	Subagent prompt templates
BIAS-PREVENTION.md	Quality control protocols
REPORT-TEMPLATE.md	Output format specification

License

MIT License - see LICENSE for details.

Author

Adam Miller (@admiller)