agentsop-bio-fraud-forensics
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 bl
npx skills add agentsope/SkillAlchemy --skill agentsop-bio-fraud-forensics --agent claude-code
Same command for any agent — swap --agent for codex, cursor, copilot.
Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.
# Bio-Fraud Forensics · 生物医学论文数据造假筛查 A screening methodology for life-science papers. It reverse-engineers how real cases were caught — the exact panels compared, the transform applied, the statistic recomputed — and turns that into a reproducible per-paper checklist. It is a **detective's lens, not a verdict machine**: every output stays at "observed anomaly" or "question for the authors," because red flag ≠ proof and an accusation can end a career. ## Activation Rules **Trigger when:** - "Check this paper / figure / Western blot for manipulation," "does this data look faked," "screen for image duplication." - A user shares a figure, blot, microscopy panel, supplementary `.xlsx`, or a DOI and asks if it's trustworthy. - "Is this a paper mill?", "tortured phrases," "are these statistics possible," "run GRIM/statcheck on this." - "Where do I check if this paper has been flagged / retracted?" (verification routing). - Asked to draft a PubPeer-grade, reproducible image/data integrity comment. **Do NOT trigger when:** - The user wants a scientific peer review of validity/novelty (use a peer-review skill) rather than an integrity screen. - The user asks you to publicly accuse a named pe
- Activation Rules
- Agentic Protocol
- Core Operation Models
- Output Style
- Output Modes
- Boundary Rules
- References
What does the agentsop-bio-fraud-forensics skill do?
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 bl
How do I install it?
Run `npx skills add agentsope/SkillAlchemy --skill agentsop-bio-fraud-forensics --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.
Where does this skill come from?
From agentsope/SkillAlchemy, a repository with 255 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.
Is a popular skill a good skill?
Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.