gtm-enrichment-smart

gtm-enrichment-smart is a skill for Claude Code, Codex from SELAT-AI/selat-skills. It costs 130 tokens per session (1,868 once invoked), scanned A, original, Apache-2.0.

A workflow for adding information about a sales prospect and their company from an email address, with optional domain or social-account details. It gathers items such as a person's role, company information, email deliverability, funding, and buying signals through several providers.

In plain words
What is it for?
Enriching leads, identifying the person and company behind an email, qualifying prospects, and finding business or buying information.
Why use it?
It reduces the manual work of identifying a prospect and checking whether the person and company are a relevant sales opportunity.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one. Also seen: positional $N argument.

Good fit Enriching leads, identifying the person and company behind an email, qualifying prospects, and finding business or buying information.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/selat-ai/selat-skills/gtm-enrichment-smart
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 SELAT-AI/selat-skills --skill gtm-enrichment-smart
Clone the repo
git clone --depth 1 https://github.com/SELAT-AI/selat-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 gtm-enrichment-smart

README.md
[![agentmods](https://agentmods.dev/badge/skills/selat-ai/selat-skills/gtm-enrichment-smart/github.svg)](https://agentmods.dev/skills/selat-ai/selat-skills/gtm-enrichment-smart)
Your own site
<a href="https://agentmods.dev/skills/selat-ai/selat-skills/gtm-enrichment-smart"><img src="https://agentmods.dev/badge/skills/selat-ai/selat-skills/gtm-enrichment-smart/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 gtm-enrichment-smart

Your own site · 80×15
<a href="https://agentmods.dev/skills/selat-ai/selat-skills/gtm-enrichment-smart"><img src="https://agentmods.dev/badge/skills/selat-ai/selat-skills/gtm-enrichment-smart.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 130 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,868 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 original No closer match found 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 $0.00130 $0.01868
Opus 5.5 $0.00052 $0.00747
Sonnet 5.5 $0.00026 $0.00374
Haiku 4.5 $0.00013 $0.00187

Measured 22d ago against content hash ffad739ea2f3, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

gtm-enrichment-smart 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 22d 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.

skills/gtm-enrichment-smart/SKILL.md · 178 lines

How it starts

The opening of the file, as written. The whole thing — 178 lines — stays where its author put it; the contents beside it link to each section on GitHub.

gtm-enrichment-smart

When To Use

Use this skill for a known B2B lead when the user supplies both a work email and the matching bare employer domain and wants a compact qualification brief:

  • professional identity, role, public social/profile links, and employer context;
  • work-email deliverability and confidence;
  • company description, industry, location, headcount, revenue, funding, technology, and public social links; and
  • explicit source agreement, conflicts, missing fields, and limitations.

This is the cost-conscious core. Use gtm-enrichment-deep when the user needs an additional independent person source and a separate organization-level funding and revenue cross-check. This skill does not retrieve current hiring, product, pricing, or Twitter activity.

Use only for a legitimate business purpose. Do not use a personal/free-mail address, infer sensitive traits, reveal personal emails or phone numbers, or send outreach. Email deliverability is not consent to contact someone.

Workflow

  1. Install the vetted recipe:

    selat skill install gtm-enrichment-smart
    
  2. Collect both required inputs:

    • email: the lead's known work email;
    • domain: the bare domain belonging to the same employer.

    Lowercase both for comparison and confirm that the text after @ equals the supplied domain. Stop if they differ or if the address uses a consumer free-mail domain. The manifest does not derive one parameter from another.

  3. Probe all three payment challenges for free:

    SELAT_ROUTER_URL=https://router.selat.ai \
      selat skill verify ~/.config/selat/skills/gtm-enrichment-smart \
      --email "<work-email>" \
      --domain <matching-bare-domain> \
      --live-probe
    
  4. Show every live quote, the expected three-call total, and the sum of the per-step caps. Propose a cumulative session budget no higher than that cap sum, explain that all three calls execute, and wait for explicit approval.

  5. Only after approval and a spendable Gateway balance, arm the approved cumulative budget, execute the fixed bundle once, and stop the budget after success or failure:

Read the full file on GitHub · 178 lines

Files

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.

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. 22d ago Changed · +99 lines · -11 tokens per session ffad739ea2f3
  2. 1mo ago Changed · -2 tokens per session 5139be3d48cb
  3. 1mo ago First seen · 79 lines · 143 tokens per session scan A fa53e3ddfae3

Subscribe to this mod's changes

gtm-enrichment-smart is a skill published in the GitHub repository SELAT-AI/selat-skills (2 stars, last pushed yesterday), licensed Apache-2.0. It adds 130 tokens to every session and 1,868 once invoked, about $0.0005 per session on Opus 5.5. 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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