lead-enrichment-pipeline

lead-enrichment-pipeline is a skill for Claude Code, Codex from outscraper/outscraper-mcp-server. It costs 64 tokens per session (554 once invoked), scanned A, original, MIT.

A workflow for researching companies and turning the results into a usable sales or account record. It uses business searches, company details, contact discovery, and optional website messaging extraction.

In plain words
What is it for?
Use it to find businesses, enrich known domains, locate technical or decision-making contacts, and prepare outbound sales or account-planning research.
Why use it?
It brings scattered company, contact, and website research into one concise result instead of separate tool outputs.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one.

Good fit Use it to find businesses, enrich known domains, locate technical or decision-making contacts, and prepare outbound sales or account-planning research.

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Install with agentmods
npx agentmods add skills/outscraper/outscraper-mcp-server/lead-enrichment-pipeline
Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

Any agent
npx skills add outscraper/outscraper-mcp-server --skill lead-enrichment-pipeline
Clone the repo
git clone --depth 1 https://github.com/outscraper/outscraper-mcp-server

Made for: Claude Code, Codex.

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

agentmods badge for lead-enrichment-pipeline

README.md
[![agentmods](https://agentmods.dev/badge/skills/outscraper/outscraper-mcp-server/lead-enrichment-pipeline/github.svg)](https://agentmods.dev/skills/outscraper/outscraper-mcp-server/lead-enrichment-pipeline)
Your own site
<a href="https://agentmods.dev/skills/outscraper/outscraper-mcp-server/lead-enrichment-pipeline"><img src="https://agentmods.dev/badge/skills/outscraper/outscraper-mcp-server/lead-enrichment-pipeline/github.svg" alt="Measured on agentmods" height="20"></a>

Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.

agentmods 80×15 button for lead-enrichment-pipeline

Your own site · 80×15
<a href="https://agentmods.dev/skills/outscraper/outscraper-mcp-server/lead-enrichment-pipeline"><img src="https://agentmods.dev/badge/skills/outscraper/outscraper-mcp-server/lead-enrichment-pipeline.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 64 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 554 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin original No closer match found in the catalogue.
Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

ModelPer sessionOnce invoked
Fable 5.1 $0.00064 $0.00554
Opus 5 $0.00032 $0.00277
Sonnet 5 $0.00013 $0.00111
Haiku 4.5 $0.00006 $0.00055

Measured 10d ago against content hash c8045ef37a52, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-10, from the pricing page.

Security

Grade A, and why

lead-enrichment-pipeline scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 10d ago.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

examples/skills/lead-enrichment-pipeline/SKILL.md · 93 lines

What it actually says

Lead Enrichment Pipeline

Use this skill when the goal is not just to find a company, but to turn it into an actionable research record.

Workflow

  1. Discover the target using businesses_search or google_maps_search.
  2. Enrich known domains with company_insights.
  3. Find reachable contacts with emails_and_contacts.
  4. If positioning or product messaging matters, use ai_scraper on the company homepage.
  5. Return one concise account summary rather than separate tool dumps.

Routing Guide

  • If the user starts with a domain, skip discovery and go straight to enrichment.
  • If the user starts with a geography plus business type, begin with place or business discovery.
  • If the user wants outreach angles, include ai_scraper.

Tool Sequence

Discovery

Use one of:

  • businesses_search
  • google_maps_search

Company Enrichment

Use company_insights.

{
  "query": ["outscraper.com"],
  "fields": ["name", "description", "industry", "employees", "location"],
  "execution_mode": "sync"
}

Contact Discovery

Use emails_and_contacts.

{
  "query": ["outscraper.com"],
  "preferred_contacts": ["technical", "decision makers"],
  "execution_mode": "sync"
}

Structured Homepage Extraction

Use ai_scraper.

{
  "query": "https://outscraper.com",
  "prompt": "Extract company name, core product description, ideal customer types, and notable claims.",
  "schema": {
    "type": "object",
    "required": [],
    "properties": {
      "company_name": { "type": "string" },
      "product_summary": { "type": "string" },
      "ideal_customers": {
        "type": "array",
        "items": { "type": "string" }
      },
      "notable_claims": {
        "type": "array",
        "items": { "type": "string" }
      }
    }
  },
  "execution_mode": "sync"
}

Output Style

Return one account brief with:

  • company snapshot
  • contacts found
  • product positioning
  • recommended next step for outreach or research
Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

  1. 10d ago First seen · 93 lines · 64 tokens per session scan A c8045ef37a52

Subscribe to this mod's changes

lead-enrichment-pipeline is a skill published in the GitHub repository outscraper/outscraper-mcp-server (3 stars, last pushed 4mo ago), licensed MIT. It adds 64 tokens to every session and 554 once invoked, about $0.0003 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.

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