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 Frontal-so/outbound-skills --skill clay-enrichment-9stepgit clone --depth 1 https://github.com/Frontal-so/outbound-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/frontal-so/outbound-skills/clay-enrichment-9step)<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.
<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>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 | $0.00048 | $0.00596 |
| Opus 5 | $0.00024 | $0.00298 |
| Sonnet 5 | $0.00010 | $0.00119 |
| Haiku 4.5 | $0.00005 | $0.00060 |
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.
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.
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 →
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.
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.
- 12d ago First seen · 79 lines · 48 tokens per session scan A 7f2fd8dae334
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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