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science-agent-recommend科学 Agent 人推荐

Agent Skill

science-agent-recommend 用于查找、检索和筛选相关信息,适合在 OpenClaw 中需要根据关键词、任务场景或来源线索快速定位候选结果时使用。可结合来源仓库、安装命令和原始 README 继续核验具体用法。安装前建议确认权限范围、维护状态,以及是否会触发联网、命令执行或文件读写。

总安装

5,180

周安装

218

GitHub Stars

公开资料未说明

下载量

1,814
OpenClaw

安装说明

本站只整理中文说明和来源信息,不托管安装包,也不代用户安装。

GitHub

来源数

2

许可证

MIT-0

最后核验

2026-05-01

来源状态

来源可访问

安装方式

通过对话安装

复制提示词发给支持本地命令或 Skills 的 AI 助手,先确认命令和权限,再让它执行。

请帮我安装这个 Agent Skill:science-agent-recommend(科学 Agent 人推荐)
来源仓库:https://github.com/johnnychen1113/science-agent-recommend
安装命令:
openclaw skills install science-agent-recommend
安装前请先检查当前环境是否支持对应 CLI,并向我确认将要执行的命令、安装目录、联网范围和文件读写权限;确认后再执行。

命令行安装

复制命令到本机终端执行。该命令会通过 OpenClaw 从第三方来源获取 Skill;本站只展示命令,不托管安装包,也不自动执行。

ClawHubOpenClaw
openclaw skills install science-agent-recommend

简介

根据研究领域推荐个性化 AI 代理工具。

  • 描述任务流程后获取来自 131+ 项目的建议。
  • 覆盖科研全流程辅助需求。science-agent-recommend 属于研究检索类 Skill,可作为该场景下的辅助能力补充。
  • 需详细说明具体应用场景与约束条件。
  • 建议试用推荐工具后再做最终选择。适用宿主包括 OpenClaw,接入前应确认版本、权限和运行环境要求。

SKILL.md

name
science-agent-recommend
description
|

Science Agent Recommend: Find the Right AI Tool for Your Research

Describe your research domain or task. Get personalized recommendations from 131+ curated AI science agents.

Decision Tree

Guide the user through these questions to narrow down recommendations:

Step 1: What's your research domain?

DomainGo to
Bioinformatics / Genomics / Omics→ Biomedicine & Omics
Drug Discovery / Chemistry / Molecular→ Drug & Molecular
General research / Literature / Writing→ Research & Paper Tools
Clinical / Medical / Health→ Clinical & Health
Education / Teaching→ Education
Evaluating / Benchmarking agents→ Benchmarks
Security / Auditing→ Security

Step 2: Domain-Specific Recommendations

Biomedicine & Omics

NeedRecommendedStarsInstall
General bioinformatics assistantBioClaw318OpenClaw-based
Single-cell / multi-omics analysisOmicsClaw114Python
Spatial transcriptomicsSpatialAgent158Genentech
CRISPR experiment designCRISPR-GPT156Python
Protein structure + bio researchSTELLA122Princeton
Nucleome / genome-scaleBioMaster91Python
Biomedical multi-tool (67 tools)BioMedAgent58Nature BME paper

Drug Discovery & Molecular

NeedRecommendedStarsInstall
Drug-target interaction / pharmacologyDrugClaw (QSong)11857 skills, LangGraph
Cheminformatics + folding + dockingBloClaw1All-in-one workspace
Pharma pipeline end-to-endAIAgents4Pharma76Python
Molecular dynamicsMDCrow234OpenMM-based
Molecular visualizationPyMolClaw113 PyMOL scripts
Chemistry AIChemClaw32Python
TCM network pharmacologyTCM-Agent10PubChem + TTD

Research & Paper Tools

NeedRecommendedStarsInstall
Autonomous end-to-end researchAutoResearchClaw10608Python
Evolutionary scientific discoveryEvoScientist2918Python
Microsoft R&D automationRD-Agent12372Python
Paper writing (Abstract→Conclusion)Research Paper Writing Skills1109Skill
AI writing humanizationHumanizer12880Skill
Research writing promptsAwesome AI Research Writing16316Skill
Citation managementCitationClaw299Python

Clinical & Health

NeedRecommendedStarsInstall
Personal health copilotHealthClaw293Streamlit + Feishu
Medical AI assistantMedgeClaw953Python
Lab workflow automationLabClaw935Python

Education

NeedRecommendedStarsInstall
Math learning (middle/high school)MathClaw64Python, multi-channel
AI classroomOpenMAIC14136Tsinghua

Benchmarks & Evaluation

NeedRecommendedStarsInstall
General agent evaluationClaw-Eval339300 tasks, 2159 rubrics
Agent safety (prompt injection)ClawSafety Benchmark2120 test cases
Bioinformatics agent evaluationBioAgent Bench16arXiv paper
ML agent benchmarkHeurekaBenchEPFL

Security

NeedRecommendedStarsInstall
Scan skills for vulnerabilitiesClawSafety ScannerRust CLI
Agent security monitoringClawKeeperSecurity

Step 3: Skill Hubs

If the user needs installable skills rather than full agents:

HubSkillsFocus
ClawHub6,300+Official OpenClaw registry
K-Dense Scientific Skills240+Bioinformatics, clinical, ML
Orchestra Research SkillsAI research training
Nobel Medicine Minds52Cognitive frameworks of Nobel laureates

Browse all 32 skill hubs at claw4science.org/skill-hubs.

How To Respond

  1. Ask domain if not clear: "What's your research area?"
  2. Match to table: Find 2-3 best fits from the domain section
  3. Explain fit: One sentence on why each is relevant
  4. Show stars + link: Include Claw4Science listing URL
  5. Suggest skills: If they need specific skills, point to skill hubs
  6. Close with directory: "Browse all 131+ projects at claw4science.org"

API Access

# Get all projects with metadata
curl -s "https://claw4science.org/api/projects"

# Response includes: projects[], skills[], skill_hubs[]
# Each project has: title, description, repo, group, tags, static_stars

Links

适合场景

01

OpenClaw 用户查找和安装 Skill 时

02

用户想查找某类 Agent Skill 时

03

需要根据任务场景推荐可安装能力包时

04

需要对比不同来源的安装命令和来源信息时

能力概览

能力 1

按任务关键词查找相关 Skills

能力 2

展示可复制的安装命令

能力 3

保留来源站点、仓库和原始说明,方便继续核验

能力 4

补充不同宿主或平台的使用分布数据

能力 5

展示第三方安全扫描或审计结果

安装后应在对应宿主中按原始 README 的触发条件使用;具体调用方式请以来源页面和 README 为准。

平台分布

OpenClaw

75.08%
按下载量换算1,362

安全审计

VirusTotal

通过

ClawScan

通过

Static analysis

通过

权限和风险

需要联网

该 Skill 可能需要联网访问来源站点、仓库或外部 API;具体网络访问范围需要结合源码和 README 复核。

安装前确认

本站仅展示第三方公开信息,不托管安装包,不提供自动安装或运行环境。安装前应自行审查源码、依赖和命令行为。当前只有一个来源,正式发布前建议补源仓库或其他目录站核验。

来源信息

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