agentsop-bio-fraud-forensics

agentsop-bio-fraud-forensics is a Peer review & grants skill for AI agents, published by agentsope in the SkillAlchemy repository on GitHub. Skillspace rates agentsop-bio-fraud-forensics C (72/100) and it passed the safety scan; the rating is based on static analysis only.

Screens biomedical / life-science papers for signs of data fabrication, image manipulation, and statistical anomalies, using the detection techniques distilled from the field's canonical exposure platforms (PubPeer, Data Colada, Science Integrity Digest, For Better Science) and tools (ImageTwin/Proofig, statcheck, GRIM/GRIMMER, Problematic Paper Screener, Seek & Blastn). Use when asked to check a paper/figure for image duplication, blot splicing, impossible statistics, paper-mill or tortured-phrase signals, research integrity, or "is this data faked"; or when a user shares a figure, Western blot, supplementary dataset, or DOI and asks whether it looks manipulated. Reports observable anomalies as questions for clarification — it never accuses anyone of fraud.

Grade

C

Quality

72 / 100

Safety

Passed

GitHub stars

162

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

Our two independent classifiers differ on this skill's category, so treat the placement as provisional.

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