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exploriumexplorium 搜索

Agent Skill

explorium 用于查找、检索和筛选相关信息,适合在 Codex、Claude、Cursor、Gemini CLI 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

470

周安装

20

GitHub Stars

55

下载量

165
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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

unknown

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:explorium(explorium 搜索)
来源仓库:https://github.com/vm0-ai/vm0-skills
仓库路径:skills/explorium
安装命令:
npx skills add https://github.com/vm0-ai/vm0-skills --skill explorium
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/vm0-ai/vm0-skills --skill explorium

简介

explorium 提供全球企业数据库搜索与商业情报提取服务。

  • 支持按国家、行业、营收等多维度过滤目标客户。
  • 适用于销售线索挖掘与市场机会初步筛查。
  • API 调用需携带 EXPLORIUM_TOKEN,注意控制请求频率防限流。
  • explorium 属于研究检索类 Skill,可作为该场景下的辅助能力补充。

SKILL.md

Troubleshooting

If requests fail, run zero doctor check-connector --env-name EXPLORIUM_TOKEN or zero doctor check-connector --url https://api.explorium.ai/v1/businesses/stats --method POST

How to Use

All examples below assume you have EXPLORIUM_TOKEN set.

The base URL for the Explorium API is:

  • https://api.explorium.ai

The API key is passed via the api_key header in all requests.

1. Get Business Statistics

Check the total number of businesses matching your filters before fetching records:

Write to /tmp/explorium_request.json:

{
  "filters": {
    "country": {
      "values": ["United States"]
    },
    "industry": {
      "values": ["Software"]
    }
  }
}

Then run:

curl -s -X POST "https://api.explorium.ai/v1/businesses/stats" --header "Content-Type: application/json" --header "api_key: $EXPLORIUM_TOKEN" -d @/tmp/explorium_request.json | jq .

2. Match a Business

Find a business by name or domain and get its unique business_id:

Write to /tmp/explorium_request.json:

{
  "name": "Explorium",
  "website": "explorium.ai"
}

Then run:

curl -s -X POST "https://api.explorium.ai/v1/businesses/match" --header "Content-Type: application/json" --header "api_key: $EXPLORIUM_TOKEN" -d @/tmp/explorium_request.json | jq .

3. Fetch Businesses

Retrieve business records matching specific filters:

Write to /tmp/explorium_request.json:

{
  "mode": "full",
  "page": 1,
  "page_size": 10,
  "filters": {
    "country": {
      "values": ["United States"]
    },
    "number_of_employees": {
      "values": [{"min": 50, "max": 500}]
    }
  }
}

Then run:

curl -s -X POST "https://api.explorium.ai/v1/businesses" --header "Content-Type: application/json" --header "api_key: $EXPLORIUM_TOKEN" -d @/tmp/explorium_request.json | jq .

4. Enrich a Business

Enrich a business with specific data categories. Replace <enrichment_name> with the enrichment type (e.g., firmographics, technographics, financial_metrics):

Write to /tmp/explorium_request.json:

{
  "business_id": "<your-business-id>"
}

Then run:

curl -s -X POST "https://api.explorium.ai/v1/businesses/<enrichment_name>/enrich" --header "Content-Type: application/json" --header "api_key: $EXPLORIUM_TOKEN" -d @/tmp/explorium_request.json | jq .

Common enrichment types:

  • firmographics - Company size, industry, location, revenue
  • technographics - Technology stack and tools used
  • financial_metrics - Revenue, funding, financial indicators
  • social_media - Social media presence and metrics

5. Bulk Enrich Businesses

Enrich multiple businesses at once (up to 50 per request):

Write to /tmp/explorium_request.json:

{
  "business_ids": [
    "8adce3ca1cef0c986b22310e369a0793",
    "a34bacf839b923770b2c360eefa26748"
  ]
}

Then run:

curl -s -X POST "https://api.explorium.ai/v1/businesses/<enrichment_name>/bulk_enrich" --header "Content-Type: application/json" --header "api_key: $EXPLORIUM_TOKEN" -d @/tmp/explorium_request.json | jq .

6. Fetch Prospects

Search for prospects (people) matching specific criteria:

Write to /tmp/explorium_request.json:

{
  "mode": "full",
  "page": 1,
  "page_size": 10,
  "filters": {
    "job_level": {
      "values": ["C-Level"]
    },
    "department": {
      "values": ["Engineering"]
    },
    "business_id": {
      "values": ["<your-business-id>"]
    }
  }
}

Then run:

curl -s -X POST "https://api.explorium.ai/v1/prospects" --header "Content-Type: application/json" --header "api_key: $EXPLORIUM_TOKEN" -d @/tmp/explorium_request.json | jq .

7. Match a Prospect

Find a specific prospect by name and company:

Write to /tmp/explorium_request.json:

{
  "first_name": "John",
  "last_name": "Doe",
  "company_name": "Explorium"
}

Then run:

curl -s -X POST "https://api.explorium.ai/v1/prospects/match" --header "Content-Type: application/json" --header "api_key: $EXPLORIUM_TOKEN" -d @/tmp/explorium_request.json | jq .

8. Enrich Prospect Contact Information

Get contact details for a specific prospect:

Write to /tmp/explorium_request.json:

{
  "prospect_id": "<your-prospect-id>"
}

Then run:

curl -s -X POST "https://api.explorium.ai/v1/prospects/contacts_information/enrich" --header "Content-Type: application/json" --header "api_key: $EXPLORIUM_TOKEN" -d @/tmp/explorium_request.json | jq .

9. Get Prospect Statistics

Check the total number of prospects matching your filters:

Write to /tmp/explorium_request.json:

{
  "filters": {
    "job_level": {
      "values": ["C-Level", "VP"]
    },
    "business_id": {
      "values": ["<your-business-id>"]
    }
  }
}

Then run:

curl -s -X POST "https://api.explorium.ai/v1/prospects/stats" --header "Content-Type: application/json" --header "api_key: $EXPLORIUM_TOKEN" -d @/tmp/explorium_request.json | jq .

10. Autocomplete Businesses

Search for businesses by partial name for quick lookups:

curl -s -X GET "https://api.explorium.ai/v1/businesses/autocomplete?query=explor" --header "api_key: $EXPLORIUM_TOKEN" | jq .

Guidelines

  1. Use the match endpoint first to obtain business_id or prospect_id before calling enrichment endpoints
  2. Check stats before fetching to understand result set size and optimize pagination
  3. Use bulk endpoints when enriching multiple records to reduce API calls and stay within rate limits
  4. Paginate large result sets with page and page_size parameters (max 100 per page)
  5. Store IDs for reuse since business and prospect IDs are stable identifiers
  6. Monitor rate limits of 200 queries per minute to avoid throttling

适合场景

01

用户想查找某类 Agent Skill 时

02

需要根据任务场景推荐可安装能力包时

03

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

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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

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

Codex

33.94%
按下载量换算56

Claude

27.89%
按下载量换算46

Cursor

19.21%
按下载量换算32

Gemini CLI

9.21%
按下载量换算15

安全审计

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通过

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通过

权限和风险

敏感数据

该 Skill 可能接触密钥、Token、环境变量或敏感配置,应进入高风险复核队列,默认不自动发布。

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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