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result-to-claim

Convert experiment results into evidence-backed claim verdicts using Codex.

1|Updated May 14, 2026
Search Tags:#experiments#evidence synthesis#research pipeline#claim evaluation#ablation planning#MCP Codex#W&B
One-click install
npx skills add https://github.com/lix965996-art/MMM --skill result-to-claim-lix965996-art
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: result-to-claim
Source: https://github.com/lix965996-art/MMM/tree/main/resources/app/skills/result-to-claim
Command: npx skills add https://github.com/lix965996-art/MMM --skill result-to-claim-lix965996-art

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

It prevents teams from over-claiming by turning raw experiment results into an evidence-backed judgment about what the results do and do not support.

Core Features & Use Cases

  • Evidence collection across sources: Pulls key metrics and context from W&B histories, experiment logs/trackers, training logs, and the research contract.
  • Codex-based claim evaluation: Uses a structured evaluation prompt to determine whether the intended claim is supported, partially supported, or not supported.
  • Automatic routing by verdict: Applies different next actions for no, partial, and yes, including updating notes and triggering follow-up planning when needed.

Quick Start

Use result-to-claim after your experiments finish to evaluate whether the intended claim is supported, then route the next step based on the verdict.

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 experiment results to prevent over-claiming in research papers?▼

Evaluate experiment results against your research contract by pulling metrics from W&B and logs, then using Codex to judge if claims are supported, partially supported, or unsupported.

What is the best way to route follow-up ablations after an experiment fails to support a claim?▼

The best way to route follow-up ablations is by parsing the evaluation verdict. A 'no' or 'partial' verdict automatically triggers follow-up planning and updates notes to guide the next experiment actions.

Can I use W&B histories to generate defensible scientific claims automatically?▼

Yes, you can use W&B histories alongside training logs and experiment trackers. The system collects these metrics and invokes Codex for structured evaluation to generate defensible scientific claims.

Does claim evaluation work without MCP Codex integration?▼

No, claim evaluation requires MCP Codex. The system specifically invokes Codex to apply a structured evaluation prompt that parses verdict fields and routes follow-on actions based on the evidence.

When should I run claim evaluation in my research pipeline?▼

You should run claim evaluation in your research pipeline immediately after experiments finish and before writing papers, responding to reviews, or running follow-up ablations to ensure decisions are evidence-backed.

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