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agentsop-bio-fraud-forensics

100 / 100 · Low risk

Fine to try.

By agentsope/SkillAlchemy (GitHub) · research · 469 stars · scanned at commit 955562e

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-ph…

Works with any agent that supports SKILL.md skills.

What this skill can do

We found nothing in the files we read that matches our rules. That does not prove the skill is safe: see the limits of static scanning.

Install

Paste this into your terminal. It downloads exactly the version we scanned, not whatever is newest.

if [ -e ~/.agents/skills/'agentsop-bio-fraud-forensics' ] || [ -L ~/.agents/skills/'agentsop-bio-fraud-forensics' ]; then echo 'A skill folder named agentsop-bio-fraud-forensics already exists — not replacing it' >&2; false; else d=$(mktemp -d) && git clone --quiet --filter=blob:none --no-checkout 'https://github.com/agentsope/SkillAlchemy' "$d" && git -C "$d" checkout --quiet '955562e4416c483da946e9c95a1c3974ac52df3c' -- 'skills/agentsop-bio-fraud-forensics' && mkdir -p ~/.agents/skills && cp -R "$d"/'skills/agentsop-bio-fraud-forensics' ~/.agents/skills/'agentsop-bio-fraud-forensics' && rm -rf "$d"; fi

Codex reads ~/.agents/skills directly. For Claude Code, Cursor, Copilot, Gemini CLI, Antigravity or OpenCode, also link it. For Claude Code: ln -s ~/.agents/skills/'agentsop-bio-fraud-forensics' ~/.claude/skills/'agentsop-bio-fraud-forensics' (other agents: ~/.cursor/skills, ~/.copilot/skills, ~/.gemini/skills, ~/.gemini/config/skills, ~/.config/opencode/skills). Or install through the finder skill, which does both.

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Score history

DateVersionScore
2026-11-09955562e100
2026-11-07cf43768100