skills.rest
EmaRimoldi
EmaRimoldiCOMMUNITY
Explore all skills by this author →
GitHub

result-collector

Aggregate experiment outputs into structured results with gap reporting.

Updated Mar 27, 2026
Search Tags:#analysis#metrics#experiments#results#gap-detection#collect#hydra-outputs
One-click install
npx skills add https://github.com/EmaRimoldi/Claude-scholar-extended --skill result-collector
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: result-collector
Source: https://github.com/EmaRimoldi/Claude-scholar-extended/tree/main/skills/result-collector
Command: npx skills add https://github.com/EmaRimoldi/Claude-scholar-extended --skill result-collector

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) and references (resource) components.

What problem does it solve?

Aggregates per-run experiment outputs into structured results to enable immediate analysis and reporting.

Core Features & Use Cases

  • Scans outputs/ and extracts metrics from JSON, CSV, and log formats.
  • Assembles per-run rows into standardized files (results.csv, run-manifest.json) and creates analysis-input/ figures.
  • Detects missing or failed runs by comparing against experiment-plan.md and reports gaps for re-runs.

Quick Start

After experiments complete, run the collector to generate analysis-input/ from outputs/ and the plan.

Frequently Asked Questions about result-collector

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

FAQPage Schema
How do I collect experiment results from Hydra output directories into a CSV for analysis?▼

To collect experiment results from Hydra outputs, this skill scans your output directories, extracts metrics from JSON, CSV, and log files, and aggregates per-run rows into a standardized results.csv file for immediate analysis.

What is the best way to detect missing or failed runs when aggregating experiment outputs?▼

Detecting missing or failed runs during experiment output aggregation is handled by comparing your outputs directory against an experiment-plan.md file, explicitly reporting gaps to identify which runs need to be re-executed.

Can I extract metrics from multiple file formats like JSON and logs when collecting experiment data?▼

Yes, you can extract metrics from multiple formats when collecting experiment data. The skill scans outputs and parses metrics from JSON, CSV, and log files while preserving metric precision across all extracted formats.

How do I generate summary statistics and figures from per-run experiment outputs?▼

To generate summary statistics and figures from per-run experiment outputs, the skill assembles your extracted metrics into an analysis-input directory containing summary.csv alongside ready-to-use figures for reporting.

Do I need an experiment-plan.md file to aggregate my Hydra-style outputs?▼

Yes, an experiment-plan.md file is required to aggregate Hydra-style outputs. The plan serves as the baseline to detect missing or failed runs, ensuring the final aggregated results match your expected experiment structure.

Related Skills

Explore More Data & Analytics Skills→
Veloxia-agencyVeloxia-agency

setup

Create autoresearch experiment configurations from domain, target file, and evaluation inputs.

Community
Intermediate
LeandroBenjaminLLeandroBenjaminL

statistical-testing

Conducts SciPy-based hypothesis tests and interprets p-values to avoid false positives.

Community
Intermediate
wanghao9610wanghao9610
39

star-expt-analyst

Audit AI experiment runs by verifying artifacts, logs, and metrics against plan criteria.

Community
Advanced
DoubleslashSEDoubleslashSE
4

log-analysis

Parse infrastructure logs to extract actionable insights for incident detection.

Community
Intermediate