Analyze M2G-Net experiment outputs and produce structured summaries with metric tables.
npx skills add https://github.com/Cuki2910/M2G-NET --skill result-analyst
Please help me install this Agent Skill. Skill: result-analyst Source: https://github.com/Cuki2910/M2G-NET/tree/main/.agents/skills/result-analyst Command: npx skills add https://github.com/Cuki2910/M2G-NET --skill result-analyst
This Skill automates the analysis of M2G-Net experiment results, providing a structured summary with key findings and recommendations.
Run the 'result-analyst' skill to analyze the experiment results.
High-intent search queries and answers about installing and using this skill.
To automate experiment result analysis for M2G-Net, use a subagent that reads the 'docs/' and 'outputs/' directories to produce a structured summary with metric tables, key findings, and next-step recommendations.
Summarizing M2G-Net experiment outputs safely requires a read-only subagent that extracts metrics and findings without modifying files. This approach ensures your original experiment data remains intact while providing structured recommendations.
Yes, you can generate metric tables and next-step recommendations from M2G-Net documentation by analyzing the contents of the 'docs/' and 'outputs/' directories. The analysis produces a structured summary highlighting key findings and actionable recommendations.
Yes, analyzing M2G-Net experiment results requires access to M2G-Net's experiment outputs and documentation. Specifically, the analysis subagent reads from the 'docs/' and 'outputs/' directories to generate the structured result summary.
The primary limitation is that the subagent operates in read-only mode, meaning it cannot modify files or execute scripts. It strictly reads from 'docs/' and 'outputs/' directories to summarize experiment results, metrics, and findings.
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