clay-enrichment-9step

clay-enrichment-9step is a skill for Claude Code, Codex from Frontal-so/outbound-skills. It costs 48 tokens per session (596 once invoked), scanned A, a copy of clay-enrichment-9step, MIT.

A nine-step Clay workflow for enriching contact lists, meaning adding company, person, email, phone, and other sales information. It also includes 58 templates across eight categories.

In plain words
What is it for?
Use it to build Clay tables, enrich prospect lists, score leads, divide them into follow-up groups, and send the results to outreach tools or a CRM.
Why use it?
It lays out a repeatable process for cleaning data, finding missing contact details, checking email validity, scoring leads, and exporting results.

Skill for Claude CodeCodex

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

Good fit Use it to build Clay tables, enrich prospect lists, score leads, divide them into follow-up groups, and send the results to outreach tools or a CRM.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/frontal-so/outbound-skills/clay-enrichment-9step
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 Frontal-so/outbound-skills --skill clay-enrichment-9step
Clone the repo
git clone --depth 1 https://github.com/Frontal-so/outbound-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 clay-enrichment-9step

README.md
[![agentmods](https://agentmods.dev/badge/skills/frontal-so/outbound-skills/clay-enrichment-9step/github.svg)](https://agentmods.dev/skills/frontal-so/outbound-skills/clay-enrichment-9step)
Your own site
<a href="https://agentmods.dev/skills/frontal-so/outbound-skills/clay-enrichment-9step"><img src="https://agentmods.dev/badge/skills/frontal-so/outbound-skills/clay-enrichment-9step/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 clay-enrichment-9step

Your own site · 80×15
<a href="https://agentmods.dev/skills/frontal-so/outbound-skills/clay-enrichment-9step"><img src="https://agentmods.dev/badge/skills/frontal-so/outbound-skills/clay-enrichment-9step.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 48 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 596 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 $0.00048 $0.00596
Opus 5 $0.00024 $0.00298
Sonnet 5 $0.00010 $0.00119
Haiku 4.5 $0.00005 $0.00060

Measured 12d ago against content hash 7f2fd8dae334, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-11, from the pricing page.

Security

Grade A, and why

clay-enrichment-9step 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 12d 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 clay-enrichment-9step — 4 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/clay-enrichment-9step/SKILL.md · 79 lines

What it actually says

Clay 9-Step Enrichment Workflow (90%+ Coverage)

For detailed templates, see references/templates.md.

Quick Reference

Step Action Tools
1 Upload & Clean CSV import
2 Company Enrichment Apollo, Ocean.io, LinkedIn
3 People Enrichment Sales Navigator, Apollo
4 Email Waterfall Apollo, Prospeo, LeadMagic, Findymail
5 Email Verification MillionVerifier
6 Phone Numbers LeadMagic, BetterContact
7 Custom Data Claygent
8 Scoring Lead scoring (100 pts)
9 Export Instantly, LemList, CRM

Step 4: Email Waterfall (The Money Step)

Single finder = 40% coverage Waterfall = 85%+ coverage

Sequence: Apollo → Prospeo → LeadMagic → Findymail → Clay patterns

Step 8: Scoring & Segmentation

Lead Score (100 points):

  • Company size match: 25 pts
  • Recent signals: 25 pts
  • Email deliverability: 25 pts
  • ICP fit: 25 pts

Tiers:

  • Tier 1 (80-100): Immediate outreach
  • Tier 2 (60-79): Nurture sequence
  • Tier 3 (<60): Long-term nurture

Pro Tips

  • Run in batches of 250 (optimizes Clay credits)
  • Test with 50 records first before full run
  • Timeline: 1,000 prospects = 2-3 hours vs 40+ hours manual

Combines with

Skill Why
clay-buying-signals-5 Add signal detection to workflow
lead-sources-guide Know where to source initial data
ai-personalization-prompts Use Claygent for AI personalization
buying-signals-6 Understand which signals to track

Example prompts

Set up a Clay workflow for job change signals with email waterfall.
How do I configure Step 4 (Email Waterfall) to maximize coverage?
Create a scoring model for SaaS companies targeting enterprise accounts.

Part of Frontal — free, open GTM skills for your AI agent. Browse the library →

Files

What ships with it

1 file 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. 12d ago First seen · 79 lines · 48 tokens per session scan A 7f2fd8dae334

Subscribe to this mod's changes

clay-enrichment-9step is a skill published in the GitHub repository Frontal-so/outbound-skills (5 stars, last pushed 1mo ago), licensed MIT. It adds 48 tokens to every session and 596 once invoked, about $0.0002 per session on Opus 5. A static security scan graded it A with 0 findings. It is 92% identical to clay-enrichment-9step, differing in 4 lines, and is treated as a copy.

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