lead-enrichment SKILL.md skillA

lead-enrichment from leadmagic/gtm-skills is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.

Install it, pinned
mdr add leadmagic/gtm-skills/lead-enrichment@v1.0.1

Pins v1.0.1 in mdr.lock. Pin the fingerprint instead.

Audit grade
A, 17 of 17 checks passed
Kind
SKILL.md skill
Repository
leadmagic/gtm-skills
Path
skills/prospecting/lead-enrichment/SKILL.md
Versions recorded
6
Latest version
v1.0.1, committed Oct 1, 2026
First version recorded
Jun 8, 2026
Size
21,737 bytes
Repository stars
71
License
MIT

Enrich prospect and account lists with company, contact, role, technographic, intent, funding, hiring, and confidence fields. Produces enrichment schema, waterfall order, QA thresholds, dedupe rules, and CRM-ready output. Use when turning raw lists into usable GTM data or improving data quality.

Collected from public GitHub. Every version is saved exactly as it was and never changes. Install it at an exact version with the mdr tool, and every file is checked before it reaches your agent. The main file is checked against the SHA-256 fingerprint recorded here, and the others against the fingerprints GitHub keeps for its source commit. The automatic checks below grade the latest version, and the same checks always give the same file the same grade.

What the file says

# Lead Enrichment

## Overview

The most common lead enrichment failure is sending every record to every provider — paying 3x the necessary cost while introducing conflicting data that requires manual reconciliation. The non-obvious rule of enrichment is the waterfall pattern: sequence providers from cheapest to most expensive, and from broadest coverage to most specialized, with each provider only firing when the previous one returned empty or low-confidence results. This approach maximizes coverage while minimizing cost per enriched record.

This skill provides a complete waterfall enrichment methodology that chains multiple data providers in a cost-optimized sequence. It specifies separate enrichment strategies for company data (firmographics, technographics, funding, revenue) and person data (contact details, job history, social profiles), with domain-based matching as the primary join key. Confidence thresholds determine when a record is "good enough" versus when it needs the next provider in the waterfall.
…

Read the whole file at its exact version.

How to install

The exact contents, by fingerprint
mdr add leadmagic/gtm-skills/lead-enrichment@sha256:a41a6ac05cd14337

The line at the top of this page pins the label v1.0.1, which is what most people want. This one pins the sha256 fingerprint of the contents instead, so it survives a label being moved. Either way the exact version is written to mdr.lock, and mdr install downloads and checks those contents again, so it installs them exactly or stops with an error.

Badge

mdr badge

[![mdr](https://markdownregistry.com/badge/art_mfbmxsjqm22gqglw.svg)](https://markdownregistry.com/a/art_mfbmxsjqm22gqglw)

2 badge image fetches in 30 days. What the badge shows.

Versions

The registry has recorded 6 versions of this file, between Jun 8, 2026 and Oct 1, 2026, about one every 23 days.

versioncommittedcommitsizeaudit
v1.0.1 latest2026-10-01 ca0d2ec 21,737 BA view · diff
v1.0.12026-09-07 92666c2 21,744 BA view · diff
v1.0.02026-09-02 a19750a 22,198 BA view · diff
v1.0.02026-06-10 17b6e1f 22,192 BA view · diff
v1.0.02026-06-10 9f00d65 22,193 BA view · diff
v1.0.02026-06-08 07ce0cd 21,954 BA view

Audit of the latest version

A  17 of 17 checks passed. Fixed automatic checks with no AI involved, so the same checks give the same answer every run.
  • pass: Frontmatter block present
  • pass: Frontmatter declares a name
  • pass: Frontmatter declares a description
  • pass: Size between 200 bytes and 200 KB (21737 bytes)
  • pass: No zero-width or bidi control characters
  • pass: No instruction hidden inside an HTML comment
  • pass: No link to an exfiltration or paste host
  • pass: No credential-shaped string
  • pass: No instruction to send local credentials anywhere
  • pass: No text hidden with inline styles
  • pass: No prompt-injection phrasing
  • pass: No curl or wget piped into a shell
  • pass: No recursive delete of root, home or parent
  • pass: No instruction to read or print local credentials
  • pass: No base64 blob over 200 characters
  • pass: No link to a raw IP address
  • pass: No script tag

Source

GitHub

leadmagic/gtm-skills · 71 stars · license MIT · pushed 2026-10-14 · branch main

API

GET https://markdownregistry.com/api/v1/artifacts/art_mfbmxsjqm22gqglw
GET https://markdownregistry.com/api/v1/resolve?ref=leadmagic/gtm-skills/lead-enrichment
GET https://markdownregistry.com/api/v1/blob/a41a6ac05cd14337b47cb51496dc41890b4d8647243e042d271c6dc72dc2caff

Your AI assistant does the legwork. You hear about the deals worth your word. Hand yours the standing instructions at modelranch.com and it joins the network that reads files like this one.

Guides: the SKILL.md format and its required fields · what to check before you install a skill · how to pin a skill to an exact version · where to find agent skills · keeping a team on the same skills · which agent file does what.

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Every file in leadmagic/gtm-skills

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