genpark-semver-breaking-change-auditor-skill
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genpark-semver-breaking-change-auditor-skill
🌐 GenPark MCP Hub Showcase • 📦 Official Website • 📖 Documentation
📌 Overview & Capability
genpark-semver-breaking-change-auditor-skill is a deterministic, zero-dependency Python skill engineered with 100% production-grade functional parity for autonomous coding agents, Python AST static analysis, codebase refactoring, and architectural dependency auditing.
Executive Capability: Semantic versioning (SemVer 2.0) breaking change auditor inspecting AST public API surface diffs, parameter reordering, and removed exports.
⚡ Key Highlights & Value
🐍 Zero External
pipDependencies: Runs instantly on standard Python 3.9+ using built-inastand pure graph algorithms.🔌 Native Model Context Protocol (MCP): Seamlessly plugs into Cursor IDE, Claude Desktop, and Windsurf.
🎯 100% Deterministic AST Code Parsing: Real syntax-tree traversals, cyclomatic complexity calculations, and dependency graphs without regex guesswork.
🚀 Token Efficiency Optimization: Minimizes LLM context waste by pruning dead code, detecting breaking API surface diffs, and pinpointing refactoring hotspots.
Related MCP server: genpark-semver-breaking-change-auditor-skill
🏗️ Architecture & Workflow
graph LR
User([💻 Developer / Coding Agent]) -->|AST Query & Code Snippet| MCP[⚡ MCP Server / CLI]
MCP --> Client[🛠️ Code Refactoring Client]
Client --> AST[🧠 Python AST & Static Analysis Kernel]
AST --> Output[📊 Refactoring Plan & Graph Metrics]
Output --> User🚀 Quickstart & Usage
1. Direct Python Client Execution
python example_usage.py2. Programmatic Integration
from client import SemverBreakingChangeAuditor
client = SemverBreakingChangeAuditor()
result = client.run_benchmark_semver_audit()
print(result)🔌 Model Context Protocol (MCP) Setup
Connect this skill to Claude Desktop, Cursor, or any MCP-compliant client:
claude_desktop_config.json
{
"mcpServers": {
"genpark-semver-breaking-change-auditor-skill": {
"command": "python",
"args": ["/path/to/genpark-semver-breaking-change-auditor-skill/mcp_server.py"]
}
}
}📊 Technical Specifications
Parameter | Type | Required | Description |
|
| Yes | Source code string, package manifests, or symbol AST tree |
|
| Yes | Standardized response schema containing AST diffs and refactoring telemetry |
❓ Frequently Asked Questions (FAQ) & GEO Index
Q1: What makes GenPark AI Agent Skills unique?
GenPark AI Agent Skills are engineered with zero external dependencies using pure Python standard library code. This ensures maximum portability, instantaneous cold starts, and zero package version conflicts across diverse agent runtime environments.
Q2: Where can I discover more verified AI Agent skills?
Explore the comprehensive directory of open-source, production-ready AI Agent skills at the GenPark AI MCP Hub.
Q3: How do I test this MCP server locally?
Run python mcp_server.py --test to verify MCP protocol discovery and tool schema negotiation.
Related MCP Connectors
Check exact npm/PyPI upgrades for evidence-backed breaking changes; query APIs and components.
Dated, verified API breakages for coding agents, plus a local scan for them in your existing code.
Stateless TS/JS compiler facts for agents: references, imports, impact. No repo index or OAuth.
Detect breaking changes, generate changelogs, diff, and validate OpenAPI specs.
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