lead-generation

lead-generation is a skill for Claude Code, Codex from exa-labs/agent-skills. It costs 83 tokens per session (2,066 once invoked), scanned A, original, MIT.

A lead-generation workflow that finds companies matching a defined ideal customer profile, then adds research signals, news, and scores. It uses Exa Agent and outputs the results as a CSV file.

In plain words
What is it for?
Use it to build prospect lists, find companies to sell to, enrich leads, or discover companies that match an ICP, meaning the type of customer you want to reach.
Why use it?
It reduces the manual work of finding suitable companies and collecting useful information about them. It is intended for prospecting and outbound research.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one. Also seen: mentions subagents.

Good fit Use it to build prospect lists, find companies to sell to, enrich leads, or discover companies that match an ICP, meaning the type of customer you want to reach.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/exa-labs/agent-skills/lead-generation
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 exa-labs/agent-skills --skill lead-generation
Clone the repo
git clone --depth 1 https://github.com/exa-labs/agent-skills

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-generation

README.md
[![agentmods](https://agentmods.dev/badge/skills/exa-labs/agent-skills/lead-generation/github.svg)](https://agentmods.dev/skills/exa-labs/agent-skills/lead-generation)
Your own site
<a href="https://agentmods.dev/skills/exa-labs/agent-skills/lead-generation"><img src="https://agentmods.dev/badge/skills/exa-labs/agent-skills/lead-generation/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-generation

Your own site · 80×15
<a href="https://agentmods.dev/skills/exa-labs/agent-skills/lead-generation"><img src="https://agentmods.dev/badge/skills/exa-labs/agent-skills/lead-generation.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 83 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 2,066 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. Third-party audits
  • Socket pass 27 Oct 2026
  • Snyk warn 27 Oct 2026
How audits are shown
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 $0.00083 $0.02066
Opus 5.5 $0.00033 $0.00826
Sonnet 5.5 $0.00017 $0.00413
Haiku 4.5 $0.00008 $0.00207

Measured 11d ago against content hash afa49b934a73, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

lead-generation 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 11d 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.

skills/lead-generation/SKILL.md · 190 lines

How it starts

The opening of the file, as written. The whole thing — 190 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Lead Generation with Exa Agent

Generate enriched lead lists using the Exa Agent API. An Agent run is an asynchronous, multi-step web research task: you describe the list you want plus an output schema, and Exa handles query decomposition, searching, verification, enrichment, and structured output internally. You do NOT need to orchestrate parallel searches, subagents, or manual deduplication.

For very large or continuously maintained lead lists with per-item verification, consider Exa Websets instead: https://exa.ai/docs/websets/quickstart

Prerequisites

This skill requires the Exa MCP server with the Agent tool enabled. Use the agent_tools URL selection alias to enable agent_run.

If the Agent tools are not available, tell the user:

You need the Exa MCP server installed with the Agent tools and your API key. Instructions: https://exa.ai/docs/get-started/exa-mcp

Then stop.

Tool Restriction

Use agent_run, plus Write and Bash (for CSV output). Do NOT use generic web search for the lead list itself.

Workflow

1. Confirm the ICP with the user (one small Agent run if research is needed)
2. Call `agent_run` with an outputSchema
3. If the result is still running, call `agent_run` again with its `runId`
4. Read `output.structured` from the `agent_run` result
5. Write the CSV
6. Optional: expand with follow-up runs (previousRunId + input.exclusion)

Step 1: Understand the ICP

When the user says something like "Make a list of 200 leads for [company]", first establish the Ideal Customer Profile. If the user already described the ICP, confirm it. If not, run one small Agent run to research it:

agent_run {
  "query": "Research {company_name}: what they sell, who their existing customers are, and what their ideal customer profile is.",
  "effort": "low",
  "outputSchema": {
    "type": "object",
    "properties": {
      "company_description": { "type": "string", "description": "What the company does in 2 sentences or less" },
      "icp_description": { "type": "string", "description": "Concise ICP description that clearly defines target companies" },
      "sub_verticals": { "type": "array", "maxItems": 10, "items": { "type": "string" }, "description": "Sub-verticals breaking down the ICP" },
      "useful_enrichments": { "type": "array", "maxItems": 8, "items": { "type": "string" }, "description": "Enrichment columns useful for filtering high-signal companies" }
    },
    "required": ["company_description", "icp_description", "sub_verticals", "useful_enrichments"]
  }
}

Read the full file on GitHub · 190 lines

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. 11d ago Changed afa49b934a73
  2. 18d ago Changed 61b4614c488a
  3. 2mo ago First seen · 190 lines · 83 tokens per session scan A 96a57ad18fee

Subscribe to this mod's changes

lead-generation is a skill published in the GitHub repository exa-labs/agent-skills (65 stars, last pushed yesterday), licensed MIT. It adds 83 tokens to every session and 2,066 once invoked, about $0.0003 per session on Opus 5.5. 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 2026-08-30.

Related

lead-generation compared with skills from other repositories

lead-generation next to 6 skills from other repositories
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lead-generationexa-labs/agent-skillsSkill65yesterdayMITA83Claude Code, Codex
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playwright-climicrosoft/playwrightSkill99kyesterdayApache-2.0A19Claude Code
local-ai-agentsmicrosoft/ai-agents-for-beginnersSkill79k4d agoMITA200Claude Code, Codex
systematic-debuggingobra/superpowersSkill313k3d agoMITA21Claude Code
next-cache-components-adoptionvercel/next.jsSkill143kyesterdayMITA95Claude Code
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