Token导航 LogoToken导航

Agent Skill · 研究检索

tooluniverse-chemical-compound-retrieval(tooluniverse 化合物检索)

用于搭建或维护带检索增强的 RAG 工作流,适合让 Agent 处理知识库问答、向量检索、来源引用和事实核查。它可以辅助整理数据接入、Embedding、向量库、召回参数和回答生成流程。使用时需要确认数据来源、更新频率、召回阈值和引用展示方式,避免把未命中的资料或过期内容包装成确定事实。

tooluniverse-chemical-compound-retrieval 是研究检索类 Agent Skill,可用宿主为 Codex、Claude、Cursor、Gemini CLI,通过GitHub 仓库获取,权限为需要联网;许可证信息还不明确,第三方扫描有提醒项,按安装量在研究检索类的 73,675 个 Skill 里排第 61,288。

总安装 353周安装 15GitHub Stars 971下载 124核验 2026-05-01

安装说明

本站只整理中文说明,不托管安装包,也不代用户安装。
GitHub
许可证
unknown

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:tooluniverse-chemical-compound-retrieval(tooluniverse 化合物检索)
来源仓库:https://github.com/wu-yc/labclaw
仓库路径:skills/tooluniverse-chemical-compound-retrieval
安装命令:
npx skills add https://github.com/wu-yc/labclaw --skill tooluniverse-chemical-compound-retrieval
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 npx skills 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。

skills.shnpx skills
npx skills add https://github.com/wu-yc/labclaw --skill tooluniverse-chemical-compound-retrieval

这个 Skill 是做什么的

研究检索类 Skill 主要解决「找资料、核对事实、把来源整理清楚」的问题,通常会让助手先检索再总结。

用于搭建或维护带检索增强的 RAG 工作流,适合知识库问答和事实核查。适用于需要向量检索、来源引用和回答生成的智能问答场景。通过 npx skills add 命令从指定 GitHub 仓库安装并使用。使用时需确认数据来源、召回阈值,避免将未命中内容包装成确定事实。

tooluniverse-chemical-compound-retrieval 属于研究检索类 Skill,可作为该场景下的辅助能力补充。

来源仓库内路径:skills/tooluniverse-chemical-compound-retrieval

上手步骤

4 步
  1. 1

    确认自己的宿主工具

    公开资料标注支持 Codex、Claude、Cursor、Gemini CLI;先确认自己用的是其中之一,再按对应工具的 Skills 目录放置。

  2. 2

    拿到安装命令

    可以直接复制的命令是 npx skills add https://github.com/wu-yc/labclaw --skill tooluniverse-chemical-co…;命令里的占位符换成自己的路径或密钥再执行。

  3. 3

    安装后重启宿主

    命令执行完要完全退出宿主工具再打开,让新装的 Skill 被重新扫描到,否则列表里可能看不到。

  4. 4

    按最小权限试用

    它需要需要联网,先在测试目录或测试账号里跑,确认没问题再放到正式项目。

常见问题

6 条

tooluniverse-chemical-compound-retrieval 怎么安装?

在终端执行 npx skills add https://github.com/wu-yc/labclaw --skill tooluniverse-chemical-compound-ret…。装完完全退出宿主工具再打开,让它重新扫描本地 Skill。

tooluniverse-chemical-compound-retrieval 支持哪些 AI 工具?

公开资料标注支持 Codex、Claude、Cursor、Gemini CLI。其他工具只要能读取本地 Skill 目录,一般也能手动放进去,但要自己确认触发方式是否一致。

tooluniverse-chemical-compound-retrieval 需要什么权限?

权限级别是需要联网。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。

tooluniverse-chemical-compound-retrieval 是免费的吗?

公开资料没有标注明确许可证,收费和商用限制都无法确认。正式使用前请到来源仓库核对授权说明。

tooluniverse-chemical-compound-retrieval 用的人多吗?

公开数据是累计安装 353 次,近一周安装 15 次,下载 124 次,GitHub 971 星。这些数字来自第三方目录统计,只能当作热度参考,不代表质量或安全性。

tooluniverse-chemical-compound-retrieval 安全吗?

第三方扫描有提醒项,说明存在需要人工确认的行为。安装前请打开源码看清它读了什么、联网到哪里。

值得选的地方和要先想清楚的地方

值得选的地方

  • 同时适配 4 种工具,换客户端不用重新找替代品。

先想清楚的地方

  • 许可证没有明确标注,能不能商用、能不能再分发都不确定。
  • 第三方扫描存在提醒项或未通过项,需要人工逐条确认。
  • 第三方目录整理,版本更新和行为细节以来源仓库为准。

适不适合你

更适合

  • 已经在用 Codex,想直接扩展它能力的人。
  • 需要处理研究检索类任务、又不想每次都手写提示词的人。

不太适合

  • 需要明确授权才能用到公司项目里的场景。
  • 需要厂商级技术支持和 SLA 的生产系统。

研究检索类 Skill 对比

6 个同类
Skill总安装GitHub 星权限许可证扫描
find-skills

寻找技能 · Codex、Claude

31,199,81316,486操作浏览器MIT有提醒
self-improving-agent

自我改进 Agent · OpenClaw

16,464,0023,396接触敏感数据MIT-0通过
soultrace

灵魂追踪 · Codex、Claude

7,588,94412需要联网未明确有提醒
self-improving

自我完善 · OpenClaw

6,829,2841,046需要联网MIT-0通过
microsoft-foundry

微软代工厂 · Codex、Claude

6,614,144764调用外部服务未明确有提醒
tooluniverse-chemical-compound-retrieval

tooluniverse 化合物检索 · 本页

353971需要联网未明确有提醒

按安装量取同分类前几名;数字来自第三方目录统计,只作热度参考,不代表质量结论。

SKILL.md 原文

Chemical Compound Information Retrieval

Retrieve comprehensive chemical compound data with proper disambiguation and cross-database validation.

IMPORTANT: Always use English compound names and search terms in tool calls, even if the user writes in another language (e.g., translate "阿司匹林" to "aspirin"). Only try original-language terms as a fallback if English returns no results. Respond in the user's language.

Workflow Overview

Phase 0: Clarify (if needed)
    ↓
Phase 1: Disambiguate Compound Identity
    ↓
Phase 2: Retrieve Data (Internal)
    ↓
Phase 3: Report Compound Profile

Phase 0: Clarification (When Needed)

Ask the user ONLY if:

  • Compound name is highly ambiguous (e.g., "vitamin E" → α, β, γ, δ-tocopherol?)
  • Multiple distinct compounds share the name (e.g., "aspirin" is clear; "sterol" is not)

Skip clarification for:

  • Unambiguous drug names (aspirin, ibuprofen, metformin)
  • Specific identifiers provided (CID, ChEMBL ID, SMILES)
  • Clear structural queries (SMILES, InChI)

Phase 1: Compound Disambiguation

1.1 Resolve Primary Identifier

from tooluniverse import ToolUniverse
tu = ToolUniverse()
tu.load_tools()

# Strategy depends on input type
if user_provided_cid:
    cid = user_provided_cid
elif user_provided_smiles:
    result = tu.tools.PubChem_get_CID_by_SMILES(smiles=smiles)
    cid = result["data"]["cid"]
elif user_provided_name:
    result = tu.tools.PubChem_get_CID_by_compound_name(compound_name=name)
    cid = result["data"]["cid"]

1.2 Cross-Reference Identifiers

Always establish compound identity across both databases:

# PubChem → ChEMBL cross-reference
chembl_result = tu.tools.ChEMBL_search_compounds(query=compound_name, limit=5)
if chembl_result["data"]:
    chembl_id = chembl_result["data"][0]["molecule_chembl_id"]

1.3 Handle Naming Collisions

For generic names (e.g., "vitamin", "steroid", "acid"):

  • Search returns multiple CIDs → present top matches with structures
  • Verify SMILES/InChI matches user intent
  • Note stereoisomers or salt forms if relevant

Identity Resolution Checklist:

  • PubChem CID established
  • ChEMBL ID cross-referenced (if exists)
  • Canonical SMILES captured
  • Stereochemistry noted (if relevant)
  • Salt forms identified (if applicable)

Phase 2: Data Retrieval (Internal)

Retrieve all data silently. Do NOT narrate the search process.

2.1 Core Properties (PubChem)

# Basic properties
props = tu.tools.PubChem_get_compound_properties_by_CID(cid=cid)

# Bioactivity summary
bio = tu.tools.PubChem_get_bioactivity_summary_by_CID(cid=cid)

# Drug label (if approved drug)
drug = tu.tools.PubChem_get_drug_label_info_by_CID(cid=cid)

# Structure image
image = tu.tools.PubChem_get_compound_2D_image_by_CID(cid=cid)

2.2 Bioactivity Data (ChEMBL)

if chembl_id:
    # Detailed bioactivity
    activity = tu.tools.ChEMBL_get_bioactivity_by_chemblid(chembl_id=chembl_id)

    # Protein targets
    targets = tu.tools.ChEMBL_get_target_by_chemblid(chembl_id=chembl_id)

    # Assay data
    assays = tu.tools.ChEMBL_get_assays_by_chemblid(chembl_id=chembl_id)

2.3 Optional Extended Data

# Patents (for drugs)
patents = tu.tools.PubChem_get_associated_patents_by_CID(cid=cid)

# Similar compounds (for SAR)
similar = tu.tools.PubChem_search_compounds_by_similarity(cid=cid, threshold=85)

Fallback Chains

PrimaryFallbackNotes
PubChem_get_CID_by_compound_nameChEMBL_search_compounds → get SMILES → PubChem_get_CID_by_SMILESName lookup failed
ChEMBL_get_bioactivityPubChem_get_bioactivity_summaryChEMBL ID unavailable
PubChem_get_drug_label_infoNote "Drug label unavailable"Not an approved drug

Phase 3: Report Compound Profile

Output Structure

Present results as a Compound Profile Report. Hide all search process details.

# Compound Profile: [Compound Name]

## Identity
| Property | Value |
|----------|-------|
| **PubChem CID** | [cid] |
| **ChEMBL ID** | [chembl_id or "N/A"] |
| **IUPAC Name** | [full name] |
| **Common Names** | [synonyms] |

## Chemical Properties

### Molecular Descriptors
| Property | Value | Drug-Likeness |
|----------|-------|---------------|
| **Formula** | C₉H₈O₄ | - |
| **Molecular Weight** | 180.16 g/mol | ✓ (<500) |
| **LogP** | 1.19 | ✓ (-2 to 5) |
| **H-Bond Donors** | 1 | ✓ (<5) |
| **H-Bond Acceptors** | 4 | ✓ (<10) |
| **Polar Surface Area** | 63.6 Ų | ✓ (<140) |
| **Rotatable Bonds** | 3 | ✓ (<10) |

### Structural Representation
- **SMILES**: `CC(=O)Oc1ccccc1C(=O)O`
- **InChI**: `InChI=1S/C9H8O4/...`

[2D structure image if available]

## Bioactivity Profile

### Summary
- **Active in**: [X] assays out of [Y] tested
- **Primary Targets**: [list top targets]
- **Mechanism**: [if known]

### Key Target Interactions (from ChEMBL)
| Target | Activity Type | Value | Units |
|--------|--------------|-------|-------|
| [Target 1] | IC50 | [value] | nM |
| [Target 2] | Ki | [value] | nM |

## Drug Information (if applicable)

### Clinical Status
| Property | Value |
|----------|-------|
| **Approval Status** | [Approved/Investigational/N/A] |
| **Drug Class** | [therapeutic class] |
| **Indication** | [approved uses] |
| **Route** | [oral/IV/topical/etc.] |

### Safety
- **Black Box Warning**: [Yes/No]
- **Major Interactions**: [if any]

## Related Compounds (if retrieved)

Top 5 structurally similar compounds:
| CID | Name | Similarity | Key Difference |
|-----|------|------------|----------------|
| [cid] | [name] | 95% | [note] |

## Data Sources
- PubChem: [CID link]
- ChEMBL: [ChEMBL ID link]
- Retrieved: [date]

Data Quality Tiers

Apply to data completeness assessment:

TierSymbolCriteria
Complete●●●All core properties + bioactivity + drug info
Substantial●●○Core properties + bioactivity OR drug info
Basic●○○Core properties only
Minimal○○○CID/name only, limited data

Include in report header:

**Data Completeness**: ●●● Complete (properties, bioactivity, drug data)

Completeness Checklist

Every compound profile MUST include these sections (even if "unavailable"):

Identity (Required)

  • PubChem CID
  • ChEMBL ID (or "N/A")
  • IUPAC name
  • Canonical SMILES

Properties (Required)

  • Molecular formula
  • Molecular weight
  • LogP
  • Lipinski rule assessment

Bioactivity (Required)

  • Activity summary (or "No bioactivity data")
  • Primary targets (or "Unknown")

Drug Info (If Approved Drug)

  • Approval status
  • Indication
  • Drug class

Always Include

  • Data sources with links
  • Retrieval date
  • Quality tier assessment

Common Use Cases

Drug Property Check

User: "Tell me about metformin" → Full compound profile with drug information emphasis

Structure Verification

User: "Verify this SMILES: CC(=O)Oc1ccccc1C(=O)O" → Disambiguation-focused profile, confirm identity

SAR Analysis

User: "Find compounds similar to ibuprofen" → Similarity search + comparative property table

Target Identification

User: "What proteins does gefitinib target?" → ChEMBL bioactivity emphasis with target list


Error Handling

ErrorResponse
"Compound not found"Try synonyms, verify spelling, offer SMILES search
"No ChEMBL ID"Note in Identity section, continue with PubChem data
"No bioactivity data"Include section with "No bioactivity screening data available"
"API timeout"Retry once, note unavailable data with "(retrieval failed)"

Tool Reference

PubChem (Chemical Database)

ToolPurpose
PubChem_get_CID_by_compound_nameName → CID
PubChem_get_CID_by_SMILESStructure → CID
PubChem_get_compound_properties_by_CIDMolecular properties
PubChem_get_compound_2D_image_by_CIDStructure visualization
PubChem_get_bioactivity_summary_by_CIDActivity overview
PubChem_get_drug_label_info_by_CIDFDA drug labels
PubChem_get_associated_patents_by_CIDIP information
PubChem_search_compounds_by_similarityFind analogs
PubChem_search_compounds_by_substructureSubstructure search

ChEMBL (Bioactivity Database)

ToolPurpose
ChEMBL_search_compoundsName/structure search
ChEMBL_get_compound_by_chemblidCompound details
ChEMBL_get_bioactivity_by_chemblidActivity data
ChEMBL_get_target_by_chemblidProtein targets
ChEMBL_search_targetsTarget search
ChEMBL_get_assays_by_chemblidAssay metadata

平台分布

Codex

34.43%
按下载量换算43

Claude

31.21%
按下载量换算39

Cursor

16.89%
按下载量换算21

Gemini CLI

10.07%
按下载量换算12

安全审计

Gen Agent Trust Hub

通过

Socket

通过

Snyk

可疑

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。来源安全扫描存在提醒或未通过项,安装前请自行复核。目前只有一个公开来源,建议同时核对源仓库。

继续浏览同类 Skills