Evaluate experimental outcomes against intended claims using Codex judgments.
npx skills add https://github.com/Mang30/myskills --skill result-to-claim-mang30
Please help me install this Agent Skill. Skill: result-to-claim Source: https://github.com/Mang30/myskills/tree/main/skills/result-to-claim Command: npx skills add https://github.com/Mang30/myskills --skill result-to-claim-mang30
This Skill resolves the gap between running experiments and confidently deciding what those results actually mean, so teams avoid overstating findings or missing required follow-ups.
Use the result-to-claim skill with your experiment description or wandb run identifier so it collects results, gets a Codex judgment, and routes you to the correct next step.
High-intent search queries and answers about installing and using this skill.
To verify experiment results against intended claims, you can use this Skill to aggregate metrics from W&B history and run a Codex judgment to evaluate whether outcomes support, partially support, or fail to support your claims.
Automating research workflows for ambiguous outcomes involves collecting evidence from local logs or trackers and applying a Codex judgment to route next steps, triggering ablation planning or pivoting when results are unclear.
Yes, you can use local experiment logs for claim verification, as the Skill supports aggregating metrics and context from local logs, experiment trackers, and research contracts to run the Codex evaluation.
Codex adjudication handles post-hoc inflation by routing collected evidence to a strict verdict of yes, partial, or no against an intended claim, preventing teams from overstating findings after experiments are completed.
To update a research wiki with experiment outcomes, the Skill automatically routes the Codex verdict and aggregated evidence to your findings pipeline and optionally updates research-wiki artifacts with experiment, claim, and idea results.
A key limitation is that automated result evaluation requires support for W&B history or normalized local experiment logs to parse Codex verdict fields, meaning incomplete or unstructured logs may prevent accurate claim adjudication.
duypham2801Evaluate experimental results against research claims using Codex verdicts.
Chanw-researchMonitor running experiments across local and remote environments and generate status reports.
Shallow-WClassify experimental outcomes as yes, partial, or no support for research claims.
travisjneumanVerify statistical claims by auditing methodology, significance testing, and bias.
