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/Zaoqu-Liu/ScienceClaw --skill peer-review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。
Search Allen AI's Asta Scientific Corpus (225M+ papers, 12M+ full-text, 2.4B+ citations) via MCP endpoint. Provides paragraph-level semantic search across full-text publications, citation graph traversal, and author analysis. Use as a complement to PubMed/OpenAlex/Semantic Scholar for deeper literature discovery, especially when full-text search or citation network analysis is needed. Requires ASTA_API_KEY in .env (free registration at allenai.org/asta).
Browser automation for accessing scientific databases that lack REST APIs. Uses the browser-use Python framework (81k+ GitHub stars) to control a real browser via LLM vision. Enables data extraction from web-only databases like GEPIA2, GeneCards advanced features, COSMIC public data, and journal full-text access. Use as a fallback when curl-based API access fails or when the target database has no programmatic API. Requires pip install browser-use and a Chromium browser.
Systematic drug repurposing analysis inspired by NovusAI. Evaluates existing drugs for new therapeutic indications through multi-dimensional evidence gathering across target networks, clinical trials (including failures), patent landscape, safety profiles, and off-label literature. Produces ranked repurposing candidates with evidence scores. Use when users ask about finding new uses for existing drugs, off-label potential, "老药新用", or "drug repurposing for X". Complements target-validation (which starts from a target) by starting from a drug.
基于 SOC 职业分类
正在显示 SKILL.md
| name | peer-review |
| description | Conduct thorough academic peer reviews with structured feedback using load_pdf and arxiv_to_prompt |
Conduct thorough academic peer reviews with structured, constructive feedback.
load_pdf - Load PDF papers in the workspace viewer (auto-switches to PDF reader)arxiv_to_prompt - Convert arXiv papers to readable text for analysisupdate_notes - Write review reports to the Notes editor[MAJOR] Section X, Page Y
Issue: [Clear description]
Impact: [Why this matters]
Suggestion: [How to address]
[MINOR] Section X
Observation: [Description]
Suggestion: [Improvement]
[QUESTION] Section X
The authors claim [X]. Could you clarify:
- [Specific question]
- [Related concern]
# Paper Review: [Title]
## Summary
[2-3 sentence overview]
## Strengths
1. [Strength with explanation]
2. [Strength with explanation]
## Weaknesses
### Major Issues
1. [Issue with suggestion]
### Minor Issues
1. [Issue with suggestion]
## Questions for Authors
1. [Question]
## Detailed Comments
[Section-by-section feedback]
## Recommendation
[ ] Accept
[ ] Minor Revision
[ ] Major Revision
[ ] Reject
Confidence: [1-5]