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.
npx skills add outscraper/outscraper-mcp-server --skill lead-enrichment-pipelinegit clone --depth 1 https://github.com/outscraper/outscraper-mcp-serverWrote 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.
[](https://agentmods.dev/skills/outscraper/outscraper-mcp-server/lead-enrichment-pipeline)<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.
<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>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.
| Model | Per session | Once 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 |
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.
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
- Discover the target using
businesses_searchorgoogle_maps_search. - Enrich known domains with
company_insights. - Find reachable contacts with
emails_and_contacts. - If positioning or product messaging matters, use
ai_scraperon the company homepage. - 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_searchgoogle_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
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.
- 10d ago First seen · 93 lines · 64 tokens per session scan A c8045ef37a52
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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