Use when the user has a results draft or a set of data-backed claims and wants each one adversarially verified against the underlying dataset before publishing — a pre-publication red-team of the findings. Extracts the discrete checkable claims from the draft, reproduces each claim's number against the data, stress-tests it against the threats most likely to kill it (outliers, confounds, Simpson's reversals, tiny subgroups, alternative specifications), and marks it verified, fragile, or refuted; fragile and refuted claims are revised — hedged, scoped, or retracted — until every claim is verified or appropriately qualified. The result is a draft where every surviving claim has been reproduced and survived a stress test. Not for open-ended discovery of new findings over a dataset (that is a data-analysis task), and not for diagnosing a single known anomaly or pipeline failure — this is a gate over an existing draft.
$npx -y skills add gaasher/agent-loop-skills --skill claim-verifyInstalls into the current project.
Run `npx skills use "https://github.com/gaasher/agent-loop-skills" --skill "gaasher/agent-loop-skills/claim-verify"` and follow the generated skill instructions now. Read its complete output, redirecting it to a temporary file first if necessary. Resolve relative paths from the supporting-files directory it provides.
Use the skills in "https://github.com/gaasher/agent-loop-skills" that are relevant to the current task. Run `npx skills add "https://github.com/gaasher/agent-loop-skills"` and select the relevant skills, then follow their instructions.