skills.rest
zhuyingqin
zhuyingqinCOMMUNITY
Explore all skills by this author →
GitHub

result-to-claim

Evaluate experimental results against intended claims and return a normalized verdict.

1|1|Updated May 19, 2026
Search Tags:#experiments#research workflow#evidence mapping#claim evaluation#codex mcp#ablation planning#wiki provenance
One-click install
npx skills add https://github.com/zhuyingqin/ARIS-WEB --skill result-to-claim-zhuyingqin
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: result-to-claim
Source: https://github.com/zhuyingqin/ARIS-WEB/tree/main/crates/runtime/assets/skills/result-to-claim
Command: npx skills add https://github.com/zhuyingqin/ARIS-WEB --skill result-to-claim-zhuyingqin

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes assets (resource) components.

What problem does it solve?

Experiments can produce numbers without clear meaning, so teams risk overstating conclusions or missing what evidence is actually still required.

Core Features & Use Cases

  • Claim evaluation from evidence: Judges whether results support, partially support, or do not support intended claims using Codex as the decision-maker.
  • Structured verdict + next actions: Produces a normalized verdict (supported/partial/not supported) and routes the workflow to confirm, supplement, or pivot.
  • Experiment integrity-aware confidence: Lowers confidence when an integrity audit flags issues, or marks the verdict as provisional when no audit exists.
  • Optional research wiki updates: Updates claim/idea status and creates evidence edges and logs when research-wiki/ and the wiki helper tooling exist.

Quick Start

Run the result-to-claim gate after your experiments finish so Codex can judge which claims the evidence supports 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 experiment results against intended research claims?▼

Evaluating experiment results against intended claims requires submitting a structured judgment request to Codex via MCP tools, which returns a normalized verdict of supported, partially supported, or not supported.

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

You should run claim evaluation after completing a batch of experiments with metric comparisons and baselines, but before paper writing or further ablation planning to determine if evidence supports your claims.

What does a normalized verdict for claim evaluation look like?▼

A normalized verdict categorizes outcomes as supported, partially supported, or not supported, routing the workflow to confirm findings, supplement missing evidence, or pivot the research direction.

How does experiment integrity affect claim confidence?▼

Experiment integrity affects confidence by lowering it when an audit flags issues, or by marking the verdict as provisional when no integrity audit exists for the completed experimental batch.

Can I update a research wiki automatically after claim evaluation?▼

Yes, when `research-wiki/` and wiki helper tooling exist, the workflow updates claim and idea status, creates evidence edges, and generates logs automatically after the evaluation verdict is parsed.

What should I do if experiment results do not support my claims?▼

If experiment results do not support your claims, the normalized verdict routes follow-on actions to pivot the research direction or supplement evidence, preventing overstated conclusions in paper writing.

Related Skills

Explore More Education & Research Skills→
jandan138jandan138

result-to-claim

Collect experiment results and route claim judgments via Codex MCP.

Community
Advanced
lightrain-alightrain-a

result-to-claim

Evaluate experimental results against intended research claims and output structured verdicts.

Community
Advanced
LambenthanLambenthan
77

exp-design

Generate claim-driven experimental plans with baseline, validation, ablation, and robustness blocks.

Community
Advanced
Mang30Mang30

result-to-claim

Evaluate experimental outcomes against intended claims using Codex judgments.

Community
Advanced