aras-results-analyst

Interpret ARAS results.json into a narrative and markdown table.

Updated Mar 24, 2026
One-click install
npx skills add https://github.com/Bhavya-Dhoot/Autonomous-Research-Agent-System-ARAS- --skill aras-results-analyst
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: aras-results-analyst
Source: https://github.com/Bhavya-Dhoot/Autonomous-Research-Agent-System-ARAS-/tree/main/aras/skills/analysis
Command: npx skills add https://github.com/Bhavya-Dhoot/Autonomous-Research-Agent-System-ARAS- --skill aras-results-analyst

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Analyzes experiment results and produces a narrative + tables to help researchers interpret results.json produced by ARAS experiments.

Core Features & Use Cases

  • Automated interpretation: converts metrics from results.json into a readable narrative and a markdown table.
  • Contextual insights: ties results back to the research plan and hypotheses.
  • Reporting-ready output: outputs strict JSON with keys: table_markdown, narrative, lessons_learned, best_experiment, and key_finding.

Quick Start

Provide the path to results.json and the associated research plan to generate a narrative and a markdown table.

Frequently Asked Questions about aras-results-analyst

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

FAQPage Schema
How do I interpret results.json from ARAS experiments into a readable report?

The results.json file is interpreted by applying the associated research plan to generate a structured narrative, markdown tables, and key findings. This process converts raw ARAS experiment metrics into a readable narrative and tabular format for analysis.

What is the best way to convert experiment metrics into a narrative and markdown tables?

The best way to convert experiment metrics into a narrative and markdown tables is to process results.json alongside the associated research plan. This generates structured JSON output containing narrative, table_markdown, lessons_learned, best_experiment, and key_finding keys.

Does the results.json reporting output include lessons learned and best experiment identification?

Yes, the results.json reporting output includes lessons_learned and best_experiment identification. The strict JSON output also contains table_markdown, narrative, and key_finding keys to provide contextual insights tied to the original research hypotheses.

Can I use this approach to generate strict JSON output for ARAS experiment reporting?

Yes, you can generate strict JSON output for ARAS experiment reporting. The process identifies and interprets results.json by producing a structured response with specific keys: table_markdown, narrative, lessons_learned, best_experiment, and key_finding.

What do I need to provide to generate a narrative and tables from results.json?

To generate a narrative and tables from results.json, you need to provide the file path to the results.json file and the associated research plan. These inputs allow the system to tie contextual insights back to your original hypotheses and experiment metrics.