lead-intelligence

lead-intelligence is a skill for Claude Code, Codex from gongyijie85/dsh-ecc. It costs 68 tokens per session (2,664 once invoked), scanned A, a copy of lead-intelligence, MIT.

A workflow for finding, ranking, and contacting promising business leads using information from the web and social networks. A lead is a person or company that may be a good customer, partner, investor, or other contact.

In plain words
What is it for?
Use it to build sales, partnership, or fundraising lists; assess contact relevance; find mutual connections; and prepare channel-specific outreach.
Why use it?
It helps replace scattered prospect research with a ranked list and possible warm introductions through shared connections. It also supports outreach across email, LinkedIn, and X.

Skill for Claude CodeCodex

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

Good fit Use it to build sales, partnership, or fundraising lists; assess contact relevance; find mutual connections; and prepare channel-specific outreach.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/gongyijie85/dsh-ecc/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 gongyijie85/dsh-ecc --skill lead-intelligence
Clone the repo
git clone --depth 1 https://github.com/gongyijie85/dsh-ecc

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/gongyijie85/dsh-ecc/lead-intelligence/github.svg)](https://agentmods.dev/skills/gongyijie85/dsh-ecc/lead-intelligence)
Your own site
<a href="https://agentmods.dev/skills/gongyijie85/dsh-ecc/lead-intelligence"><img src="https://agentmods.dev/badge/skills/gongyijie85/dsh-ecc/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/gongyijie85/dsh-ecc/lead-intelligence"><img src="https://agentmods.dev/badge/skills/gongyijie85/dsh-ecc/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 2,664 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 92% 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 $0.02664
Opus 5 $0.00034 $0.01332
Sonnet 5 $0.00014 $0.00533
Haiku 4.5 $0.00007 $0.00266

Measured 5d ago against content hash 878fdcca9643, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-09, 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

92% identical to lead-intelligence — 47 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 · 323 lines

How it starts

The opening of the file, as written. The whole thing — 323 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 Activate

  • 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 · 323 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. 5d ago First seen · 323 lines · 68 tokens per session scan A 878fdcca9643

Subscribe to this mod's changes

lead-intelligence is a skill published in the GitHub repository gongyijie85/dsh-ecc (6 stars, last pushed 2d ago), licensed MIT. It adds 68 tokens to every session and 2,664 once invoked, about $0.0003 per session on Opus 5. A static security scan graded it A with 0 findings. It is 92% identical to lead-intelligence, differing in 47 lines, and is treated as a copy.

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