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Agent Skill · 研究检索

enrich-layer(丰富层)

enrich-layer 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。

enrich-layer 是研究检索类 Agent Skill,可用宿主为 OpenClaw,通过ClawHub获取,权限为接触敏感数据;许可证为 MIT-0,第三方扫描已通过,按安装量在研究检索类的 73,675 个 Skill 里排第 15,472。

总安装 7,832周安装 333GitHub Stars 公开资料未说明下载 2,744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
MIT-0
版本
0.2.0

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:enrich-layer(丰富层)
来源仓库:https://github.com/nicest-michael/enrich-layer
安装命令:
openclaw skills install enrich-layer
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 enrich-layer

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。

enrich-layer 利用 Enrich Layer API 提供 25 种工具,用于丰富公司、人员及联系人数据。适用于查找企业信息、识别关键决策者、获取工作邮箱及搜索员工等研究类任务。通过关键词或业务场景快速检索并筛选目标对象,增强数据完整性与准确性。

安装命令为 openclaw skills install enrich-layer,需确保具备访问外部 API 的权限。注意 API 调用频率限制及数据隐私合规性,避免触发服务异常或授权问题。

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 OpenClaw;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 openclaw skills install enrich-layer;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

    它需要接触敏感数据,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

enrich-layer 怎么安装?

在终端执行 openclaw skills install enrich-layer。装完完全退出宿主工具再打开,让它重新扫描本地 Skill。

enrich-layer 支持哪些 AI 工具?

公开资料标注支持 OpenClaw。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。

enrich-layer 需要什么权限?

权限级别是接触敏感数据。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。

enrich-layer 是免费的吗?

来源标注的许可证是 MIT-0。本站不代收任何费用,也不托管安装包;能否商用、要不要署名,以许可证原文为准。

enrich-layer 用的人多吗?

公开数据是累计安装 7,832 次,近一周安装 333 次,下载 2,744 次。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。

enrich-layer 安全吗?

第三方扫描结果为通过,但这只覆盖已知的静态检查项,不能替代自己读一遍源码和安装命令。

值得选的地方和要先想清楚的地方

值得选的地方

  • 专注 OpenClaw 一种宿主,触发方式和使用习惯不用来回切换。
  • 许可证明确为 MIT-0,商用和分发边界好判断。
  • 第三方扫描已通过,常见的高风险行为没有命中。

先想清楚的地方

  • 需要接触敏感数据,装到常用环境前要先评估影响面。
  • 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 OpenClaw,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。
  • 需要许可证清楚、并且有第三方扫描结果的团队项目。

不太适合

  • 环境里有大量密钥、凭证,不方便给第三方 Skill 读取的人。
  • 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
enrich-layer

丰富层 · 本页

7,832—接触敏感数据MIT-0通过

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

name
enrich-layer
description
Enrich company, person, and contact data with 25 tools via the Enrich Layer API. Look up companies, find decision-makers, get work emails, search employees, verify contacts, and more.
version
0.2.0
metadata
openclaw
requires
env
bins
primaryEnv
ENRICH_LAYER_API_KEY
emoji
\F50D
homepage
https://enrichlayer.com

Enrich Layer

This skill connects to the Enrich Layer API via MCP, giving you 25 tools for enriching company, person, contact, school, and job data from professional networks.

Setup

Add the Enrich Layer MCP server to your OpenClaw MCP configuration:

{
  "mcpServers": {
    "enrich-layer": {
      "command": "npx",
      "args": ["-y", "@verticalint-michael/enrich-layer-mcp"],
      "env": {
        "ENRICH_LAYER_API_KEY": "${ENRICH_LAYER_API_KEY}"
      }
    }
  }
}

Get your API key at enrichlayer.com/dashboard.


Available Tools (25)

Company (7 tools)

  • enrich_company_profile — Get structured company data from a professional network URL. Returns name, industry, size, description, specialties, funding, and more. Cost: 1 credit. Optional add-ons (1 credit each): categories, funding_data, exit_data, acquisitions, extra.
  • enrich_company_lookup — Look up a company by name or domain to find its professional network URL. Provide at least one of company_name or company_domain. Optionally pass company_location as an ISO 3166-1 alpha-2 country code to disambiguate. Cost: 2 credits.
  • enrich_company_id_lookup — Look up a company by its internal numeric ID to get its professional network URL. Cost: 0 credits.
  • enrich_company_picture — Get the profile picture URL of a company. Cost: 0 credits.
  • enrich_employee_list — List employees of a company. Supports filtering by role (boolean search), country, employment status, and sorting. Cost: 3 credits per employee returned.
  • enrich_employee_count — Get the number of employees at a company. Supports historical counts via at_date. Cost: 1 credit.
  • enrich_employee_search — Search employees by keyword at a specific company. Uses boolean search syntax for job titles. Cost: 10 credits per request.

Person (4 tools)

  • enrich_person_profile — Get structured person data from a profile URL (professional network, Twitter/X, or Facebook). Returns experience, education, skills, and more. Cost: 1 credit. Optional add-ons: extra (1 credit), personal_contact_number (1 credit/number), personal_email (1 credit/email), skills (free).
  • enrich_person_lookup — Look up a person by first name and company domain to find their professional network profile. Provide first_name and company_domain; optionally add last_name, title, location for precision. Cost: 2 credits.
  • enrich_person_picture — Get the profile picture URL of a person. Cost: 0 credits.
  • enrich_role_lookup — Find who holds a specific role at a company. Provide company_name and role (e.g., "ceo"). Cost: 3 credits.

Contact (6 tools)

  • enrich_reverse_email — Find a person's professional network profile by their email address. Cost: 3 credits.
  • enrich_reverse_phone — Find a person's professional network profile by their phone number (E.164 format). Cost: 3 credits.
  • enrich_work_email — Get the work email address of a person from their profile URL. Cost: 3 credits.
  • enrich_personal_contact — Get personal phone numbers of a person from their profile URL. Cost: 1 credit per contact number.
  • enrich_personal_email — Get personal email addresses of a person from their profile URL. Cost: 1 credit per email.
  • enrich_disposable_email — Check if an email address is from a disposable email provider. Cost: 0 credits.

School (2 tools)

  • enrich_school_profile — Get structured school data from its professional network URL. Cost: 1 credit.
  • enrich_student_list — List students of a school. Supports filtering by major (boolean search), country, and student status. Cost: 3 credits per student returned.

Job (3 tools)

  • enrich_job_profile — Get structured data of a job posting from its professional network URL. Cost: 2 credits.
  • enrich_job_search — Search job postings. Filter by company, job type, experience level, location, flexibility, and keyword. Cost: 2 credits.
  • enrich_job_count — Count job postings matching your criteria. Same filters as job search. Cost: 2 credits.

Search (2 tools)

  • enrich_company_search — Search companies by location, industry, size, funding, founding year, and more. Uses boolean search syntax for many fields. Cost: 3 credits per URL returned.
  • enrich_person_search — Search people by name, location, education, role, company, skills, and more. Requires country (ISO 3166). Uses boolean search syntax. Cost: 3 credits per URL returned.

Meta (1 tool)

  • enrich_credit_balance — Check your current Enrich Layer credit balance. Cost: 0 credits.

Usage Guidelines

When the user asks to enrich, look up, or find information about companies or people, follow these rules:

1. Check credits first for large operations

Before running bulk enrichment (employee lists, person searches, company searches), call enrich_credit_balance to check the user's remaining credits. Warn them about the estimated cost before proceeding with expensive operations.

2. Choose the cheapest tool that answers the question

  • If you already have a professional network URL, use a _profile tool (1 credit) instead of a _lookup tool (2 credits).
  • Use enrich_company_id_lookup (0 credits) when you have a numeric company ID.
  • Use enrich_company_picture or enrich_person_picture (0 credits) when only the avatar is needed.
  • Use enrich_disposable_email (0 credits) to validate emails before spending credits on enrichment.

3. Chain tools efficiently

Many tasks require chaining two or more tools. Follow these common patterns:

  • Find a person's work email by role: enrich_role_lookup (get profile URL) then enrich_work_email (get email). Total: 6 credits.
  • Find a person's work email by name: enrich_person_lookup (get profile URL) then enrich_work_email (get email). Total: 5 credits.
  • Enrich a company from just a name: enrich_company_lookup (get URL) then enrich_company_profile (get full data). Total: 3 credits. Or pass enrich_profile: "enrich" to get both in one call for 3 credits.
  • Find decision-makers at a company: enrich_company_lookup (get URL) then enrich_employee_list with boolean_role_search set to the target roles.
  • Verify a contact: enrich_disposable_email (free check) then enrich_reverse_email (find the profile).

4. Use the enrich_profile / enrich_profiles shortcut

Several lookup and list tools accept an enrich_profile or enrich_profiles parameter set to "enrich". This returns full profile data inline, saving a separate profile call. Use it when you need full details and not just the URL.

5. Use boolean search syntax correctly

Employee search, company search, and person search support boolean operators in many fields:

  • OR / || — match either term: "founder OR co-founder"
  • AND — match both terms: "engineer AND manager"
  • NOT — exclude: "director NOT assistant"
  • Quotes for exact phrases: "'Vice President'"
  • Max 255 characters for boolean expressions.

6. Control cache behavior

All profile tools accept use_cache:

  • "if-present" — use cached data regardless of age (fastest, cheapest).
  • "if-recent" — only use cache if the profile is less than 29 days old.

Default to "if-present" unless the user explicitly needs fresh data.

7. Handle pagination for list endpoints

enrich_employee_list, enrich_student_list, and search tools accept page_size. When enriching profiles inline (enrich_profiles: "enrich"), the max page size drops to 10. Plan accordingly for large lists.

8. Country codes

Several tools accept country/location filters. Always use ISO 3166-1 alpha-2 codes (e.g., us, gb, de, sg). For person search, the country parameter is required.


Example Workflows

Enrich a list of leads

User: "I have a list of company names. Enrich them all."

  1. Call enrich_credit_balance to check available credits.
  2. For each company name, call enrich_company_lookup with enrich_profile: "enrich" to get the URL and full profile in one call (3 credits each).
  3. Present results in a table with name, industry, size, location, and URL.

Find decision-makers at a company

User: "Find the CTO and VP Engineering at Stripe."

  1. Call enrich_role_lookup with company_name: "Stripe", role: "cto" (3 credits).
  2. Call enrich_role_lookup with company_name: "Stripe", role: "vp engineering" (3 credits).
  3. For each result, call enrich_work_email to get their email (3 credits each).
  4. Total: 12 credits for two contacts with emails.

Verify and enrich a contact from an email

User: "What can you tell me about john@acme.com?"

  1. Call enrich_disposable_email with the email (0 credits) to verify it is not throwaway.
  2. Call enrich_reverse_email with email: "john@acme.com" (3 credits) to get their profile URL.
  3. Call enrich_person_profile with the returned URL (1 credit) to get full details.
  4. Total: 4 credits.

Search for companies in a market segment

User: "Find SaaS startups in the US with 50-200 employees founded after 2018."

  1. Call enrich_company_search with country: "US", industry: "software", employee_count_min: "50", employee_count_max: "200", founded_after_year: "2018", type: "PRIVATELY_HELD" (3 credits per result).
  2. Present results in a structured format.

Find alumni from a school

User: "List recent computer science graduates from MIT."

  1. Call enrich_student_list with the MIT professional network URL, boolean_search_keyword: "computer science", student_status: "past", sort_by: "recently-graduated" (3 credits per student).
  2. Present results with names, majors, and profile URLs.

平台分布

OpenClaw

81.8%
按下载量换算2,245

安全审计

VirusTotal

通过

ClawScan

通过

Static analysis

通过

权限和风险

接触敏感数据

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。目前只有一个公开来源,建议同时核对源仓库。

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