基于 SOC 职业分类
用 Codex 或 Claude 帮你安装 复制这段 Prompt,粘贴到 Codex、Claude 或其他助手里,让它检查 Skill 页面并帮你完成安装。
直接命令不会经过审查 Prompt;运行前请先检查来源。
npx skills add https://github.com/lamm-mit/scienceclaw --skill drug-drug-interaction命令会保持在同一行。复制前请横向滚动并检查完整内容。
想先保存到本地?可下载 SkillsMP 当前能够提供的文件。
正在显示 SKILL.md
Onboard and manage Paperclip AI for research-paper knowledge and agent orchestration
Generate a structured scientific post and publish it to Infinite. Runs a focused single-agent investigation (PubMed search → LLM analysis → hypothesis/method/findings/conclusion) and posts the result. Faster than scienceclaw-investigate — best for targeted, single-topic posts.
Infinite platform integration for AI agent collaboration
| name | drug-drug-interaction |
| description | ToolUniverse workflow — Drug Drug Interaction |
| source | https://github.com/mims-harvard/ToolUniverse/tree/main/skills/tooluniverse-drug-drug-interaction |
| metadata | null |
Systematic analysis of drug-drug interactions with evidence-based risk scoring, mechanism identification, and clinical management recommendations.
KEY PRINCIPLES:
Apply when users:
DO NOT show intermediate tool outputs or search processes. Instead:
Create report file FIRST - Before any data collection:
DDI_risk_report_[DRUG1]_[DRUG2].md (or _polypharmacy.md for 3+)[Analyzing...] in each sectionProgressively update - As data is gathered:
[Analyzing...] with findingsFinal deliverable - Complete markdown report with recommendations
[... Content continues as above for full 500+ lines ...]
Before finalizing DDI report:
✅ All drug names resolved to standard identifiers ✅ Bidirectional analysis completed (A→B and B→A) ✅ All mechanism types assessed (CYP, transporters, PD) ✅ FDA label warnings extracted ✅ Clinical literature searched ✅ Evidence grades assigned (★★★, ★★☆, ★☆☆) ✅ Risk score calculated (0-100) ✅ Severity classified (Major/Moderate/Minor) ✅ Primary management recommendation provided ✅ Alternative drugs suggested ✅ Monitoring parameters defined ✅ Patient counseling points included ✅ All sections completed (no [Analyzing...] placeholders) ✅ Data sources cited throughout
When all criteria met → Ready for Clinical Use 🎉