X 크 크롱 3d ago · archived 2d ago 인터넷에 널린 데이터로 보고서나 논문 쓰다 보면 나도 모르게 잘못된 출처나 수치를 넣어서 망신당하기 쉬움. 이걸 해결하려고 연구부터 검증, 심사까지 AI 에이전트 군단이 대신해 주는 오픈소스가 나옴. 실제 학술지 심사처럼 꼼꼼하게 따져서 가짜 참고문헌이나 통계 실수를 인간보다 먼저 귀신같이 찾아냄. Louis Gleeson Someone just turned Claude Code into a full academic publishing house. It's called Academic Research Skills. Research team, paper writer, peer reviewers, and an editor all running as AI agents on your machine. The pipeline goes: Research → Write → Integrity Check → 5-person Review → Revise → Re-Review → Final Check → Publish-ready PDF. Here's what's inside: → 13-agent deep research team with Socratic guidance and PRISMA systematic reviews → 12-agent paper writer that outputs LaTeX in APA 7, IEEE, or Chicago → Multi-perspective peer review: Editor-in-Chief + 3 reviewers + a Devil's Advocate that attacks your core thesis → A 10-stage orchestrator with mandatory integrity checkpoints you cannot skip Here's the wildest part: The integrity agent verifies 100% of references, data, and claims before review. In the showcase run, it caught 15 fabricated references and 3 statistical errors before a human ever saw the draft. Every review is scored on a 0-100 rubric. Above 80 gets accepted. Below 50 gets rejected. Just like a real journal. Free on GitHub. CC-BY-NC 4.0 License. 148 32