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result-to-claim

Evaluate experimental results against claims and route next steps.

1|Updated Mar 25, 2026
Search Tags:#research#routing#codex#evaluation#experiment#claims#results
One-click install
npx skills add https://github.com/HeXiao-55/Auto-SurveyMind --skill result-to-claim-hexiao-55
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: result-to-claim
Source: https://github.com/HeXiao-55/Auto-SurveyMind/tree/main/skills/result-to-claim
Command: npx skills add https://github.com/HeXiao-55/Auto-SurveyMind --skill result-to-claim-hexiao-55

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill analyzes experimental results after completion to determine what claims the results support, what they don't, and what evidence is still missing, then routes to the appropriate next action (pivot, supplement, or confirm).

Core Features & Use Cases

  • Codex-driven evaluation: Aggregates results from sources like wandb, EXPERIMENT_LOG.md, EXPERIMENT_TRACKER.md, logs, and docs to build a structured verdict.
  • Automated routing: Based on the Codex judgment, it guides whether to pivot, add ablations, or commit to a claim in the paper.
  • Use Case: After finishing a set of experiments, use this Skill to decide if the results justify the planned claims and what additional evidence is needed.

Quick Start

Collect your experiment results and run Codex evaluation to determine which claims are supported and what to do next.

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 against intended research claims?▼

Evaluating experimental results against research claims involves aggregating data from wandb, logs, and experiment trackers to build a structured verdict that determines which claims are supported and what evidence is missing.

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

Deciding whether to pivot, supplement, or confirm after an experiment requires analyzing completed main results and ablations to generate routing decisions that guide your next actions based on the evidence gathered.

Can I use wandb logs and markdown docs together to validate experiment outcomes?▼

Yes, you can aggregate results from wandb logs and markdown docs like EXPERIMENT_LOG.md to validate experiment outcomes and generate a structured verdict with recommended routing decisions.

Do I need to run ablations before evaluating my research claims?▼

You should run ablations before evaluating claims if you need comprehensive evidence, as the evaluation applies after experiments complete, including main results and ablations, to guide confirmations or identify missing supplements.

How do I automate routing decisions for missing evidence in my research paper?▼

Automating routing decisions for missing evidence involves applying a Codex-driven judgment workflow to your completed experiment results, which outputs a structured verdict in findings.md recommending whether to pivot or add supplements.

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