result-to-claim

Name: result-to-claim
Availability: InStock
Author: KwongFuk

Judge experimental results against intended claims and route verdicts to next actions.

Updated Apr 10, 2026

Search Tags:#analyze #claims #experiments #data-interpretation #research-workflow #reviewer-model

Ready to run

npx skills add https://github.com/KwongFuk/codex-skills --skill result-to-claim-kwongfuk

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: result-to-claim
Source: https://github.com/KwongFuk/codex-skills/tree/main/global/result-to-claim
Command: npx skills add https://github.com/KwongFuk/codex-skills --skill result-to-claim-kwongfuk

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Experiments produce numbers; this gate helps determine what those numbers actually mean by evaluating whether results support the intended claims and identifying gaps.

Core Features & Use Cases

Collect and organize results from diverse sources (e.g., W&B, log files, research notes) to inform claim evaluation.
Secondary judgment by a reviewer model to provide an objective verdict on claim support.
Structured routing to project notes and subsequent actions (pivot, supplement, or confirm) based on the verdict.

Quick Start

Run the result-to-claim workflow after experiments complete to obtain a structured verdict on claims.

Frequently Asked Questions about result-to-claim

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

FAQPage Schema

How do I determine if my experimental results support my research claims?▼

To determine if experimental results support research claims, collect data from sources like W&B and log files, apply a secondary judgment via a reviewer model, and route the structured verdict to confirm, pivot, or supplement actions.

What is a reviewer model for data interpretation in research workflows?▼

A reviewer model for data interpretation provides an objective, secondary judgment on whether experimental results validate intended claims, identifying gaps and guiding subsequent research actions like pivoting or confirming.

How do I evaluate experimental data from W&B and log files to validate claims?▼

Evaluating experimental data from W&B and log files involves collecting and organizing the diverse results, applying a secondary judgment with a reviewer model to assess claim validity, and routing the verdict to project notes.

Can I use this workflow to decide whether to pivot or supplement my experiments?▼

Yes, you can use this workflow to decide whether to pivot, supplement, or confirm experiments. It parses the reviewer model's verdict on claim support and routes the next actions directly into your research workflow.

What is the best way to translate experimental numbers into justified claims?▼

The best way to translate experimental numbers into justified claims is applying a three-step workflow: collect results from diverse sources, perform a secondary judgment with a reviewer model, and parse the verdict into project notes.