lead-intelligence

lead-intelligence is a skill for Claude Code, Codex from Jamkris/everything-gemini-code. It costs 68 tokens per session (2,661 once invoked), scanned A, a copy of lead-intelligence, MIT.

An AI-assisted process for finding, evaluating, and contacting potential customers, partners, or investors using information from the web and social networks.

In plain words
What is it for?
Use it to build outreach lists, score prospects, research their companies and recent activity, find warm introductions, and prepare email, LinkedIn, or X messages.
Why use it?
It brings lead discovery, ranking, research, shared-connection checks, and message preparation into one workflow instead of requiring separate manual searches.

Skill for Claude CodeCodex

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

Good fit Use it to build outreach lists, score prospects, research their companies and recent activity, find warm introductions, and prepare email, LinkedIn, or X messages.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/jamkris/everything-gemini-code/lead-intelligence
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 Jamkris/everything-gemini-code --skill lead-intelligence
Clone the repo
git clone --depth 1 https://github.com/Jamkris/everything-gemini-code

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-intelligence

README.md
[![agentmods](https://agentmods.dev/badge/skills/jamkris/everything-gemini-code/lead-intelligence/github.svg)](https://agentmods.dev/skills/jamkris/everything-gemini-code/lead-intelligence)
Your own site
<a href="https://agentmods.dev/skills/jamkris/everything-gemini-code/lead-intelligence"><img src="https://agentmods.dev/badge/skills/jamkris/everything-gemini-code/lead-intelligence/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-intelligence

Your own site · 80×15
<a href="https://agentmods.dev/skills/jamkris/everything-gemini-code/lead-intelligence"><img src="https://agentmods.dev/badge/skills/jamkris/everything-gemini-code/lead-intelligence.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 68 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 2,661 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 95% copy Near-identical to another mod 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 $0.00068 $0.02661
Opus 5 $0.00034 $0.01331
Sonnet 5 $0.00014 $0.00532
Haiku 4.5 $0.00007 $0.00266

Measured 5d ago against content hash c5acf1beb8d3, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-08, from the pricing page.

Security

Grade A, and why

lead-intelligence 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 5d 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.

Origin

This is a copy

95% identical to lead-intelligence — 46 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.

skills/lead-intelligence/SKILL.md · 322 lines

How it starts

The opening of the file, as written. The whole thing — 322 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Lead Intelligence

Agent-powered lead intelligence pipeline that finds, scores, and reaches high-value contacts through social graph analysis and warm path discovery.

When to Use

  • User wants to find leads or prospects in a specific industry
  • Building an outreach list for partnerships, sales, or fundraising
  • Researching who to reach out to and the best path to reach them
  • User says "find leads", "outreach list", "who should I reach out to", "warm intros"
  • Needs to score or rank a list of contacts by relevance
  • Wants to map mutual connections to find warm introduction paths

Tool Requirements

Required

  • Exa MCP — Deep web search for people, companies, and signals (web_search_exa)
  • X API — Follower/following graph, mutual analysis, recent activity (X_BEARER_TOKEN, plus write-context credentials such as X_CONSUMER_KEY, X_CONSUMER_SECRET, X_ACCESS_TOKEN, X_ACCESS_TOKEN_SECRET)

Optional (enhance results)

  • LinkedIn — Direct API if available, otherwise browser control for search, profile inspection, and drafting
  • Apollo/Clay API — For enrichment cross-reference if user has access
  • GitHub MCP — For developer-centric lead qualification
  • Apple Mail / Mail.app — Draft cold or warm email without sending automatically
  • Browser control — For LinkedIn and X when API coverage is missing or constrained

Pipeline Overview

┌─────────────┐     ┌──────────────┐     ┌─────────────────┐     ┌──────────────┐     ┌─────────────────┐
│ 1. Signal   │────>│ 2. Mutual    │────>│ 3. Warm Path    │────>│ 4. Enrich    │────>│ 5. Outreach     │
│    Scoring  │     │    Ranking   │     │    Discovery    │     │              │     │    Draft        │
└─────────────┘     └──────────────┘     └─────────────────┘     └──────────────┘     └─────────────────┘

Voice Before Outreach

Do not draft outbound from generic sales copy.

Run brand-voice first whenever the user's voice matters. Reuse its VOICE PROFILE instead of re-deriving style ad hoc inside this skill.

Read the full file on GitHub · 322 lines

Files

What ships with it

4 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.

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. 5d ago First seen · 322 lines · 68 tokens per session scan A c5acf1beb8d3

Subscribe to this mod's changes

lead-intelligence is a skill published in the GitHub repository Jamkris/everything-gemini-code (88 stars, last pushed 3mo ago), licensed MIT. It adds 68 tokens to every session and 2,661 once invoked, about $0.0003 per session on Opus 5. A static security scan graded it A with 0 findings. It is 95% identical to lead-intelligence, differing in 46 lines, and is treated as a copy.

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