Evaluate experimental results against intended claims and route next actions.
npx skills add https://github.com/xqinag/ARIS-new --skill result-to-claim-xqinag
Please help me install this Agent Skill. Skill: result-to-claim Source: https://github.com/xqinag/ARIS-new/tree/main/skills/result-to-claim Command: npx skills add https://github.com/xqinag/ARIS-new --skill result-to-claim-xqinag
Use when experiments complete to judge what claims the results support, what they don't, and what evidence is still missing. Codex MCP evaluates results against intended claims and routes to next action (pivot, supplement, or confirm). Use after experiments finish — before writing the paper or running ablations.
After experiments finish, gather results from wandb histories, EXPERIMENT_LOG.md, EXPERIMENT_TRACKER.md, or logs, and run the gate to judge claims and route the next actions.
High-intent search queries and answers about installing and using this skill.
You can check if experimental results support intended claims by converging data from wandb histories and experiment logs, running a deterministic evidence pre-check, and producing a structured verdict for routing next actions.
You can check experimental results against hypotheses by converging data from wandb histories and experiment logs, running a deterministic evidence pre-check, and producing a structured verdict for routing next actions.
Yes, you can validate research claims using wandb histories, EXPERIMENT_LOG.md, and EXPERIMENT_TRACKER.md by assembling key baselines and deltas into a claims.json file before evaluation.
Codex evaluation is preceded by a deterministic evidence pre-check that verifies cited numbers exist in your experimental results, catching hallucinated evidence early before the final claims evaluation.
The best way to route research actions after experiments finish is to evaluate results against intended claims to determine whether to pivot, supplement, or confirm, producing a structured verdict for guidance.
You should run a claim verification gate on experimental data after experiments finish but before writing the paper or running ablations, ensuring all cited numbers exist and claims are structurally supported.
Wenwen555Interpret experimental results against intended claims and route next actions.
kitcafJudge experimental results against intended claims and route pivot, supplement, or confirm actions.
goupup-aiJudge whether experimental results support intended research claims.
lightrain-aEvaluate experimental results against intended research claims and output structured verdicts.
