result-to-claim

Judges experimental results from multiple sources and routes the next actions via Codex.

2|Updated Mar 29, 2026
One-click install
npx skills add https://github.com/satsuki-64/MiniAgentWorkflow --skill result-to-claim-satsuki-64
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: result-to-claim
Source: https://github.com/satsuki-64/MiniAgentWorkflow/tree/main/.skills/result-to-claim
Command: npx skills add https://github.com/satsuki-64/MiniAgentWorkflow --skill result-to-claim-satsuki-64

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Analyzing experimental results to determine which claims they support, which are unsupported, and what evidence is still missing, enabling objective decision-making and planning for follow-up work.

Core Features & Use Cases

  • Collect results from multiple sources (wandb, EXPERIMENT_LOG.md, EXPERIMENT_TRACKER.md, logs, and design docs) to build a complete results picture.
  • Use Codex to judge whether the results support the intended claim and to decide routing (pivot, supplement, or confirm).
  • Parse and normalize judgments, then route based on verdict to postmortems, additional experiments, or paper-writing steps.

Quick Start

Run this skill after experiments finish to have Codex judge the results and route the next actions.

Frequently Asked Questions about result-to-claim

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

FAQPage Schema
How do I evaluate experimental results to see if they support my research claims?

Evaluating experimental results to verify research claims requires collecting data from wandb and experiment logs, then judging whether the evidence supports your intended hypothesis. This Skill uses Codex to analyze those sources and determine if you should pivot, supplement, or confirm your claims.

Can I use wandb logs and EXPERIMENT_TRACKER.md together for result evaluation?

Yes, you can use wandb logs alongside EXPERIMENT_TRACKER.md and EXPERIMENT_LOG.md for result evaluation. The Skill collects and normalizes data from these multiple sources to build a complete results picture before judging claim support.

What is the best way to decide whether to pivot or confirm after an experiment?

The best way to decide whether to pivot or confirm after an experiment is to use Codex to judge your collected results against your intended claims. It routes your next actions by determining if you need to pivot, supplement with more data, or confirm findings.

How do I route experimental judgments to plan follow-up experiments or manuscripts?

Routing experimental judgments to plan follow-up work involves parsing and normalizing Codex output into actionable verdicts. This Skill automatically routes those verdicts to post-mortems, additional ablation experiments, or manuscript planning steps based on the decision.

When do I need to run a result-to-claim evaluation in my research workflow?

You need to run a result-to-claim evaluation immediately after your experiments finish. Running this process at the end of the experimental cycle allows Codex to judge the final results and route the next actions for your research workflow.