菜单
Perform a simple multiple-sequence alignment (MSA) for short peptides and return aligned sequences + consensus.
默认使用会先检查来源的 Prompt；你也可以切换为直接命令，或下载本地副本。
决定是否安装前，请先阅读 SKILL.md，以及 SkillsMP 当前展示的配套文件。
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 peptide-msa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。
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.
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正在显示 SKILL.md
| name | peptide-msa |
| description | Perform a simple multiple-sequence alignment (MSA) for short peptides and return aligned sequences + consensus. |
| metadata | {"skill-author":"ScienceClaw demo"} |
Lightweight MSA intended for peptides (≈6–40 aa). Produces:
aligned_sequences (list of gapped strings)aligned_json (JSON string of aligned_sequences, safe to pass via argv)consensus (gapped consensus string)python3 scripts/run.py --sequences AGCKNFFWKTFTSC FCFWKTCT
python3 scripts/run.py --query "AGCKNFFWKTFTSC;FCFWKTCT"