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result-to-claim

Judge experimental results against intended claims and route next actions.

Updated Apr 2, 2026
Search Tags:#routing#experiments#wandb#claims-validation#codex-mcp#ablation-planning#results-evaluation
One-click install
npx skills add https://github.com/dz306271098/ARIS_for_Robotics --skill result-to-claim-dz306271098
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: result-to-claim
Source: https://github.com/dz306271098/ARIS_for_Robotics/tree/main/skills/result-to-claim
Command: npx skills add https://github.com/dz306271098/ARIS_for_Robotics --skill result-to-claim-dz306271098

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Experiments produce numbers; this gate decides what those numbers mean and routes to the next action (pivot, supplement, or confirm) to move research forward.

Core Features & Use Cases

  • Collect results from available sources (wandb, logs, trackers, and documentation) and assemble key information about methods, datasets, configurations, and baselines.
  • Generate an objective Codex judgment on whether the results support the intended claim and determine routing (pivot, supplement, or confirm).
  • Parse and normalize Codex responses into structured guidance to drive project decisions and next experiments or paper content.

Quick Start

After experiments finish, collect results, send them to Codex for judgment, and route the project 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 if my experimental results support my intended claims across multiple datasets?▼

Evaluating experimental results against intended claims requires gathering metrics from sources like wandb and logs, then using Codex MCP to produce a structured verdict on whether the data supports the claims across datasets, metrics, and baselines.

What is the best way to automate routing decisions after finishing ablation experiments?▼

Automating routing decisions after ablation experiments involves sending collected results and baseline configurations to Codex MCP, which normalizes responses into structured guidance to pivot, supplement, or confirm the research direction.

Can I use wandb logs to determine whether to pivot or confirm my research direction?▼

Yes, you can collect tracking data from wandb logs and documentation, then submit it to Codex MCP to generate an objective judgment on whether results support your claims and determine the next routing action.

Does results evaluation and claims validation work with experiments run across different baselines?▼

Results evaluation and claims validation works across different baselines by assembling key information about methods, datasets, and configurations from available trackers, passing them to Codex MCP to judge if the outcomes support the intended claims.

When should I run claims validation during my research workflow?▼

Claims validation should run after completing experiments but before paper writing or ablation planning, serving as a gate to decide whether results meaningfully support claims and route the next project actions.

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