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 LeadMagic/gtm-skills --skill waterfall-enrichmentgit clone --depth 1 https://github.com/LeadMagic/gtm-skillsWrote 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/leadmagic/gtm-skills/waterfall-enrichment)<a href="https://agentmods.dev/skills/leadmagic/gtm-skills/waterfall-enrichment"><img src="https://agentmods.dev/badge/skills/leadmagic/gtm-skills/waterfall-enrichment/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/leadmagic/gtm-skills/waterfall-enrichment"><img src="https://agentmods.dev/badge/skills/leadmagic/gtm-skills/waterfall-enrichment.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00046 | $0.01189 |
| Opus 5 | $0.00023 | $0.00594 |
| Sonnet 5 | $0.00009 | $0.00238 |
| Haiku 4.5 | $0.00005 | $0.00119 |
Grade A, and why
waterfall-enrichment 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 8d 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.
How it starts
The opening of the file, as written. The whole thing — 138 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Waterfall Enrichment
Overview
No single B2B data provider covers more than 60-75% of contacts. A multi-provider waterfall chains providers in sequence, each firing only when the previous returns empty. The result: 85-92% coverage at optimized cost.
This skill covers complete waterfall architecture: 3 separate waterfalls for company data, email, and phone — each with independently optimized provider ordering and verification integration.
Authoritative Foundations
- DAMA-DMBOK Data Quality Dimensions — Shapes deliverables for this skill — No single B2B data provider covers more than 60-75% of contacts.
- Ziellab 3-Waterfall Architecture — Shapes deliverables for this skill — No single B2B data provider covers more than 60-75% of contacts.
- HubSpot Academy — CRM Automation — Lifecycle stages, object model, and workflow enrollment patterns.
When to Use
- "Build an enrichment waterfall"
- "Improve our data coverage"
- "Chain multiple enrichment providers"
- "Design a cost-optimized enrichment pipeline"
- "Set up waterfall enrichment in Clay"
Step-by-Step Process
Phase 1: Three Separate Waterfalls
Build independent waterfalls for different data types:
Company Waterfall:
- Clay native / Clearbit (cheap, broad)
- Apollo Company (mid-cost, good SMB coverage)
- ZoomInfo (expensive, enterprise depth)
- Claygent AI research (unstructured, last resort)
Email Waterfall:
- LeadMagic Email Finder (verified results, pay-per-result)
- Apollo (270M+ contacts, subscription)
- Hunter.io (domain-pattern matching)
- People Data Labs (alternative sourcing)
- Claygent (AI web research)
Phone Waterfall:
- Apollo (mobile, included in subscription)
- Cognism (strong EU mobile coverage)
- ContactOut (alternative sourcing)
- People Data Labs (broad but thinner)
Phase 2: Provider Ordering
Sort by cost-per-hit, not cost-per-attempt. A cheap provider with 20% hit rate costs more per successful lookup than a moderate provider with 70% hit rate.
What ships with it
3 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.
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.
- 8d ago Changed 4bf7c96f65f9
- 12d ago First seen · 138 lines · 46 tokens per session scan A 0bc7de7b7a98
waterfall-enrichment is a skill published in the GitHub repository LeadMagic/gtm-skills (50 stars, last pushed 4d ago), licensed MIT. It adds 46 tokens to every session and 1,189 once invoked, about $0.0002 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 2026-08-30.
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