mcp-code-execution-results-comparison-analyzer
CommunityCompare AI agent performance, optimize workflows.
Software Engineering#automation#metrics#mcp#ai agent#code execution#performance analysis#experimentation
Authorolaservo
Version1.0.0
Installs0
System Documentation
What problem does it solve?
Evaluating and comparing the performance, cost, and output quality of different AI agent execution approaches (like code-execution vs. direct-MCP) is complex and manual. This Skill automates the analysis of experimental results, providing clear insights.
Core Features & Use Cases
- Automated Data Extraction: Extracts metrics, logs, and workspace outputs from zipped experiment results.
- Performance Metrics: Compares duration, cost, token usage, and efficiency ratios for successful runs.
- Failure Detection: Identifies and summarizes failed runs, providing clear success/failure rates.
- Output Quality Assessment: Catalogs and excerpts workspace files for qualitative comparison.
- Actionable Recommendations: Generates a comprehensive report with insights on when to use each approach.
Quick Start
Use the mcp-code-execution-results-comparison-analyzer skill to compare the results from the attached zip file 'task_results-2025-11-20T06-22-50-300Z.zip'.
Dependency Matrix
Required Modules
None requiredComponents
scripts
💻 Claude Code Installation
Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.
Please help me install this Skill: Name: mcp-code-execution-results-comparison-analyzer Download link: https://github.com/olaservo/code-execution-with-mcp/archive/main.zip#mcp-code-execution-results-comparison-analyzer Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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