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 SELAT-AI/selat-skills --skill lead-enrichmentgit clone --depth 1 https://github.com/SELAT-AI/selat-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/selat-ai/selat-skills/lead-enrichment)<a href="https://agentmods.dev/skills/selat-ai/selat-skills/lead-enrichment"><img src="https://agentmods.dev/badge/skills/selat-ai/selat-skills/lead-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/selat-ai/selat-skills/lead-enrichment"><img src="https://agentmods.dev/badge/skills/selat-ai/selat-skills/lead-enrichment.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 | $0.00116 | $0.01457 |
| Opus 5 | $0.00058 | $0.00728 |
| Sonnet 5 | $0.00023 | $0.00291 |
| Haiku 4.5 | $0.00012 | $0.00146 |
Grade A, and why
lead-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 11d 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 — 75 lines — stays where its author put it; the contents beside it link to each section on GitHub.
lead-enrichment
When To Use
Use when the user has a partial lead (name + company + domain, optionally a LinkedIn URL or known email) and wants complete contact data: a found-and-verified work email, lead-level enrichment, a phone number and contact details, and company details. Every step is a MPP on Tempo payment translated by the SELAT Router into an outbound payment on the merchant's rail — every step settles through the SELAT Router.
Workflow
- Install:
selat skill install lead-enrichment - Run:
selat skill run lead-enrichment --firstName John --lastName Doe --company Stripe --domain stripe.com [--email [email protected]] [--linkedinUrl https://linkedin.com/in/johndoe] - The CLI compiles each step into a
selat-paycall (each a MPP on Tempo payment via the SELAT Router), runs them in order, and prints a per-step status (status=200 / ✓ or ✗) summary.
Steps, in order:
- Step 1 — Hunter
POST /hunter/email-finder— find the work email from domain + name. - Step 2 — Hunter
POST /hunter/email-verifier— verify the email is deliverable (pass--email, or the email from step 1). - Step 3 — Apollo
POST /apollo/people-enrichment— lead-level enrichment (person record: email, title, social/company details). - Step 4 — Clado
POST /clado/contacts— contact enrichment (including phone numbers) from the lead's LinkedIn URL. - Step 5 — Hunter
POST /hunter/company-enrichment— enrich the company from its domain.
Inputs And Outputs
| Param | Required | Default | Description |
|---|---|---|---|
firstName |
yes | — | Lead first name (Hunter email-finder, Apollo people-enrichment) |
lastName |
yes | — | Lead last name (Hunter email-finder, Apollo people-enrichment) |
company |
yes | — | Company name (sent to Apollo as organization_name) |
domain |
yes | — | Company domain (Hunter email-finder + company-enrichment) |
email |
no | (from step 1) | Work email to verify in step 2 |
linkedinUrl |
no | empty | LinkedIn URL for Apollo people-enrichment and the Clado contacts (phone) step |
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.
- 11d ago First seen · 75 lines · 116 tokens per session scan A d47063b05350
lead-enrichment is a skill published in the GitHub repository SELAT-AI/selat-skills (2 stars, last pushed today), licensed Apache-2.0. It adds 116 tokens to every session and 1,457 once invoked, about $0.0006 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 2026-08-31.
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