claim-verify

claim-verify is a Non-code artifact review skill for AI agents, published by gaasher in the Agent-Loop-Skills repository on GitHub. Skillspace rates claim-verify D (59/100) and it passed the safety scan; the rating is based on static analysis only.

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.

Grade

D

Quality

59 / 100

Safety

Passed

GitHub stars

132

Unproven: rated by static analysis only, not yet compared head-to-head.

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