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 sales-prospectinggit 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/sales-prospecting)<a href="https://agentmods.dev/skills/selat-ai/selat-skills/sales-prospecting"><img src="https://agentmods.dev/badge/skills/selat-ai/selat-skills/sales-prospecting/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/sales-prospecting"><img src="https://agentmods.dev/badge/skills/selat-ai/selat-skills/sales-prospecting.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 | $0.00129 | $0.01736 |
| Opus 5 | $0.00064 | $0.00868 |
| Sonnet 5 | $0.00026 | $0.00347 |
| Haiku 4.5 | $0.00013 | $0.00174 |
Grade A, and why
sales-prospecting scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 12d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
How it starts
The opening of the file, as written. The whole thing — 80 lines — stays where its author put it; the contents beside it link to each section on GitHub.
sales-prospecting
When To Use
Use when the user wants to assemble a targeted prospect list for outbound sales: define an ICP, find companies and decision-makers, collect and verify emails, and enrich with company context for personalization. Every step is a MPP on Tempo call settled through the SELAT Router — there is no Circle-Gateway rail and no API keys to manage; payment is per-call in USDC on Base.
Workflow
- Install:
selat skill install sales-prospecting - Run:
selat skill run sales-prospecting --domain stripe.com [--companyQuery "..."] [--jobTitles "CTO,VP Engineering"] [--companyNames "Stripe,Figma"] [--locations "San Francisco"] [--firstName Sarah --lastName Chen] [--email [email protected]] - The CLI compiles each manifest step into a
selat-paycall, routes it through the SELAT Router as an MPP payment, runs the steps in order, and prints a per-step ✓/✗ summary.
Steps (in order):
- Step 1 — Fiber
POST /v1/natural-language-search/companies— find companies matching the ICP (${companyQuery}). - Step 2 — Fiber
POST /v1/people-search— find decision-makers by${jobTitles}at${companyNames}in${locations}. - Step 3 — Hunter
POST /hunter/domain-search— list all emails at${domain}. - Step 4 — Hunter
POST /hunter/email-finder— find the email for a specific${firstName} ${lastName}at${domain}. - Step 5 — Hunter
POST /hunter/email-verifier— verify${email}deliverability before outreach. - Step 6 — Abstract Company Enrichment
POST /abstract-company-enrichment/lookup— enrich${domain}with company data (industry, size, description) for personalization.
Inputs And Outputs
| Param | Required | Default | Description |
|---|---|---|---|
companyQuery |
no | B2B SaaS startups in San Francisco with 50-200 employees Series A or B funded |
Free-form ICP text for the Fiber company search |
jobTitles |
no | CTO,VP Engineering,Head of Engineering |
Comma-separated decision-maker titles |
companyNames |
no | Stripe,Figma,Notion |
Comma-separated company names for the people search |
locations |
no | San Francisco |
Comma-separated locations for the people search |
domain |
yes | stripe.com |
Domain used by the Hunter domain-search, Hunter email-finder, and Abstract Company Enrichment steps |
firstName |
no | Sarah |
First name for the Hunter email-finder lookup |
lastName |
no | Chen |
Last name for the Hunter email-finder lookup |
email |
no | [email protected] |
Email to verify via the Hunter email verifier |
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.
- 12d ago First seen · 80 lines · 129 tokens per session scan A c6d3d7fc8bc1
sales-prospecting is a skill published in the GitHub repository SELAT-AI/selat-skills (2 stars, last pushed today), licensed Apache-2.0. It adds 129 tokens to every session and 1,736 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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