功能描述

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,...

使用说明 (SKILL.md)

\r \r

Enrich Layer\r

Name: Enrich Layer
Author: nicest-michael

\r 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.\r \r

Setup\r

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

{\r
  "mcpServers": {\r
    "enrich-layer": {\r
      "command": "npx",\r
      "args": ["-y", "@verticalint-michael/enrich-layer-mcp"],\r
      "env": {\r
        "ENRICH_LAYER_API_KEY": "${ENRICH_LAYER_API_KEY}"\r
      }\r
    }\r
  }\r
}\r
```\r
\r
Get your API key at [enrichlayer.com/dashboard](https://enrichlayer.com/dashboard).\r
\r
---\r
\r
## Available Tools (25)\r
\r
### Company (7 tools)\r
\r
- **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`.\r
- **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.\r
- **enrich_company_id_lookup** — Look up a company by its internal numeric ID to get its professional network URL. Cost: 0 credits.\r
- **enrich_company_picture** — Get the profile picture URL of a company. Cost: 0 credits.\r
- **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.\r
- **enrich_employee_count** — Get the number of employees at a company. Supports historical counts via `at_date`. Cost: 1 credit.\r
- **enrich_employee_search** — Search employees by keyword at a specific company. Uses boolean search syntax for job titles. Cost: 10 credits per request.\r
\r
### Person (4 tools)\r
\r
- **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).\r
- **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.\r
- **enrich_person_picture** — Get the profile picture URL of a person. Cost: 0 credits.\r
- **enrich_role_lookup** — Find who holds a specific role at a company. Provide `company_name` and `role` (e.g., "ceo"). Cost: 3 credits.\r
\r
### Contact (6 tools)\r
\r
- **enrich_reverse_email** — Find a person's professional network profile by their email address. Cost: 3 credits.\r
- **enrich_reverse_phone** — Find a person's professional network profile by their phone number (E.164 format). Cost: 3 credits.\r
- **enrich_work_email** — Get the work email address of a person from their profile URL. Cost: 3 credits.\r
- **enrich_personal_contact** — Get personal phone numbers of a person from their profile URL. Cost: 1 credit per contact number.\r
- **enrich_personal_email** — Get personal email addresses of a person from their profile URL. Cost: 1 credit per email.\r
- **enrich_disposable_email** — Check if an email address is from a disposable email provider. Cost: 0 credits.\r
\r
### School (2 tools)\r
\r
- **enrich_school_profile** — Get structured school data from its professional network URL. Cost: 1 credit.\r
- **enrich_student_list** — List students of a school. Supports filtering by major (boolean search), country, and student status. Cost: 3 credits per student returned.\r
\r
### Job (3 tools)\r
\r
- **enrich_job_profile** — Get structured data of a job posting from its professional network URL. Cost: 2 credits.\r
- **enrich_job_search** — Search job postings. Filter by company, job type, experience level, location, flexibility, and keyword. Cost: 2 credits.\r
- **enrich_job_count** — Count job postings matching your criteria. Same filters as job search. Cost: 2 credits.\r
\r
### Search (2 tools)\r
\r
- **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.\r
- **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.\r
\r
### Meta (1 tool)\r
\r
- **enrich_credit_balance** — Check your current Enrich Layer credit balance. Cost: 0 credits.\r
\r
---\r
\r
## Usage Guidelines\r
\r
When the user asks to enrich, look up, or find information about companies or people, follow these rules:\r
\r
### 1. Check credits first for large operations\r
\r
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.\r
\r
### 2. Choose the cheapest tool that answers the question\r
\r
- If you already have a professional network URL, use a `_profile` tool (1 credit) instead of a `_lookup` tool (2 credits).\r
- Use `enrich_company_id_lookup` (0 credits) when you have a numeric company ID.\r
- Use `enrich_company_picture` or `enrich_person_picture` (0 credits) when only the avatar is needed.\r
- Use `enrich_disposable_email` (0 credits) to validate emails before spending credits on enrichment.\r
\r
### 3. Chain tools efficiently\r
\r
Many tasks require chaining two or more tools. Follow these common patterns:\r
\r
- **Find a person's work email by role**: `enrich_role_lookup` (get profile URL) then `enrich_work_email` (get email). Total: 6 credits.\r
- **Find a person's work email by name**: `enrich_person_lookup` (get profile URL) then `enrich_work_email` (get email). Total: 5 credits.\r
- **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.\r
- **Find decision-makers at a company**: `enrich_company_lookup` (get URL) then `enrich_employee_list` with `boolean_role_search` set to the target roles.\r
- **Verify a contact**: `enrich_disposable_email` (free check) then `enrich_reverse_email` (find the profile).\r
\r
### 4. Use the `enrich_profile` / `enrich_profiles` shortcut\r
\r
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.\r
\r
### 5. Use boolean search syntax correctly\r
\r
Employee search, company search, and person search support boolean operators in many fields:\r
\r
- `OR` / `||` — match either term: `"founder OR co-founder"`\r
- `AND` — match both terms: `"engineer AND manager"`\r
- `NOT` — exclude: `"director NOT assistant"`\r
- Quotes for exact phrases: `"'Vice President'"`\r
- Max 255 characters for boolean expressions.\r
\r
### 6. Control cache behavior\r
\r
All profile tools accept `use_cache`:\r
- `"if-present"` — use cached data regardless of age (fastest, cheapest).\r
- `"if-recent"` — only use cache if the profile is less than 29 days old.\r
\r
Default to `"if-present"` unless the user explicitly needs fresh data.\r
\r
### 7. Handle pagination for list endpoints\r
\r
`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.\r
\r
### 8. Country codes\r
\r
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.\r
\r
---\r
\r
## Example Workflows\r
\r
### Enrich a list of leads\r
\r
User: "I have a list of company names. Enrich them all."\r
\r
1. Call `enrich_credit_balance` to check available credits.\r
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).\r
3. Present results in a table with name, industry, size, location, and URL.\r
\r
### Find decision-makers at a company\r
\r
User: "Find the CTO and VP Engineering at Stripe."\r
\r
1. Call `enrich_role_lookup` with `company_name: "Stripe", role: "cto"` (3 credits).\r
2. Call `enrich_role_lookup` with `company_name: "Stripe", role: "vp engineering"` (3 credits).\r
3. For each result, call `enrich_work_email` to get their email (3 credits each).\r
4. Total: 12 credits for two contacts with emails.\r
\r
### Verify and enrich a contact from an email\r
\r
User: "What can you tell me about [email protected]?"\r
\r
1. Call `enrich_disposable_email` with the email (0 credits) to verify it is not throwaway.\r
2. Call `enrich_reverse_email` with `email: "[email protected]"` (3 credits) to get their profile URL.\r
3. Call `enrich_person_profile` with the returned URL (1 credit) to get full details.\r
4. Total: 4 credits.\r
\r
### Search for companies in a market segment\r
\r
User: "Find SaaS startups in the US with 50-200 employees founded after 2018."\r
\r
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).\r
2. Present results in a structured format.\r
\r
### Find alumni from a school\r
\r
User: "List recent computer science graduates from MIT."\r
\r
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).\r
2. Present results with names, majors, and profile URLs.\r

安全使用建议

This skill appears coherent with its stated purpose, but note a few practical points before installing: 1) The skill instructs OpenClaw to run an MCP server via npx which will fetch and execute an npm package (@verticalint-michael/enrich-layer-mcp) — review that package's npm/GitHub pages to verify the maintainer and code quality. 2) The only secret required is ENRICH_LAYER_API_KEY; treat it like any API key: use least privilege, rotate it if needed, and don't expose it elsewhere. 3) The service can return personal contact details (personal emails/phone numbers); ensure you have legal/ethical authorization to query and store that data and that it complies with privacy/regulatory requirements. 4) Bulk operations can consume credits — the skill sensibly recommends checking balance first; still warn users and require explicit confirmation before high-cost bulk calls. 5) Because this skill is instruction-only, static scanning had no code to analyze — the runtime risk is primarily the npm MCP package and the external Enrich Layer service. If you need lower risk, audit the referenced npm package source or run the MCP server in an isolated environment first.

功能分析

Type: OpenClaw Skill Name: enrich-layer Version: 0.2.0 The enrich-layer skill is a legitimate integration for the Enrich Layer API, providing tools for professional data enrichment (companies, people, and contacts). It utilizes a standard MCP server configuration via npx (@verticalint-michael/enrich-layer-mcp) and contains detailed, helpful instructions in SKILL.md for the AI agent to manage API credits and tool chaining efficiently without any signs of malicious intent or data exfiltration.

能力评估

✓ Purpose & Capability

The name/description promise (25 enrichment tools for companies/people/contacts/jobs/schools) aligns with what the SKILL.md documents. Requesting node and an ENRICH_LAYER_API_KEY is expected for an MCP server that proxies calls to the Enrich Layer API. There are no unrelated credentials, binaries, or config paths requested.

✓ Instruction Scope

The SKILL.md instructs the agent to add an MCP server entry that runs an npm package via npx and to call the declared API for the listed tools. It does not instruct reading unrelated files, harvesting other environment variables, or exfiltrating data to unexpected endpoints. It also advises checking credits before expensive operations, which is appropriate given the service billing model.

ℹ Install Mechanism

This is an instruction-only skill (no local install spec), but the runtime setup relies on npx to fetch and run the @verticalint-michael/enrich-layer-mcp package from npm. Fetching and executing code from npm at runtime is a common pattern for MCP servers but carries the usual moderate risk of executing third-party package code; the package and its GitHub/npm pages are referenced in README, which helps traceability.

✓ Credentials

Only ENRICH_LAYER_API_KEY is required (declared as primaryEnv). That single credential is proportional and necessary for calling the Enrich Layer API. No unrelated tokens, secrets, or system credentials are requested.

✓ Persistence & Privilege

The skill is not marked always:true and does not request persistent system-wide config paths or modify other skills. Autonomous invocation (model-invocation enabled) is the platform default and is not by itself a concern here.

版本历史

v0.2.0

Summary: Version 0.2.0 expands tool descriptions and provides detailed usage guidelines for the Enrich Layer skill. - Expanded documentation with an overview of 25 enrichment tools for company, person, contact, school, and job data. - Added extensive usage instructions, including credit checks, tool selection strategies, chaining workflows, and boolean search syntax. - Described new parameters and options for various tools, such as add-ons, cache controls, and bulk-enrichment shortcuts. - Included best practices for using the most cost-effective and efficient enrichment strategies.

元数据

Slug enrich-layer

版本 0.2.0

许可证 MIT-0

累计安装 0

当前安装数 0

历史版本数 1

常见问题

Enrich Layer 是什么？

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,... 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件，目前累计下载 266 次。

如何安装 Enrich Layer？

在 OpenClaw 或 Claude Code 对话框中运行命令「/install enrich-layer」即可一键安装，无需额外配置。

Enrich Layer 是免费的吗？

是的，Enrich Layer 完全免费，采用 MIT-0 许可证，可自由下载、安装和使用。

Enrich Layer 支持哪些平台？

Enrich Layer 跨平台运行，可在任意部署了 OpenClaw / Claude Code 的环境中使用（cross-platform）。

谁开发了 Enrich Layer？

由 Michael（@nicest-michael）开发并维护，当前版本 v0.2.0。

Enrich Layer