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recommend-contacts

recommend-contacts is a skill for Claude Code from Zoominfo/zoominfo-mcp-plugin. It costs 33 tokens per session (1,088 once invoked), scanned A, original, MIT.

A recommendation tool that ranks people to contact at a target company using ZoomInfo interaction history and CRM data. You provide a company and optionally a reason, such as prospecting, speeding up a deal, or handling a renewal.

In plain words
What is it for?
Use it to find contacts for prospecting, deal acceleration, or renewals at a named company or domain.
Why use it?
It reduces the effort of finding the most relevant people inside an account. The recommendations are tailored to the available company context and your intended use case.

Skill for Claude Code

Written for Claude Code: $ARGUMENTS substitution.

Part of the zoominfo plugin — 35 skills, 1 MCP server shipped together

not rated 7repo 6d ago A scan 33 tokens original MIT

Good fit Use it to find contacts for prospecting, deal acceleration, or renewals at a named company or domain.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/zoominfo/zoominfo-mcp-plugin/recommend-contacts
View source ↗ Zoominfo/zoominfo-mcp-plugin
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 Zoominfo/zoominfo-mcp-plugin --skill recommend-contacts
Clone the repo
git clone --depth 1 https://github.com/Zoominfo/zoominfo-mcp-plugin

Made for: Claude Code.

Or install zoominfo, the plugin that ships this one along with the rest of its 35 skills, 1 MCP server.

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 recommend-contacts

README.md
[![agentmods](https://agentmods.dev/badge/skills/zoominfo/zoominfo-mcp-plugin/recommend-contacts/github.svg)](https://agentmods.dev/skills/zoominfo/zoominfo-mcp-plugin/recommend-contacts)
Your own site
<a href="https://agentmods.dev/skills/zoominfo/zoominfo-mcp-plugin/recommend-contacts"><img src="https://agentmods.dev/badge/skills/zoominfo/zoominfo-mcp-plugin/recommend-contacts/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 recommend-contacts

Your own site · 80×15
<a href="https://agentmods.dev/skills/zoominfo/zoominfo-mcp-plugin/recommend-contacts"><img src="https://agentmods.dev/badge/skills/zoominfo/zoominfo-mcp-plugin/recommend-contacts.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 33 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,088 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 $0.00033 $0.01088
Opus 5 $0.00016 $0.00544
Sonnet 5 $0.00007 $0.00218
Haiku 4.5 $0.00003 $0.00109

Measured 10d ago against content hash 18fb962541ca, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-09, from the pricing page.

Security

Grade A, and why

recommend-contacts 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 10d 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/recommend-contacts/SKILL.md · 83 lines

How it starts

The opening of the file, as written. The whole thing — 83 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Get ML-ranked contact recommendations at a target company, personalized to your ZoomInfo usage and CRM data.

Input

The user will provide via $ARGUMENTS:

  • A company name, domain, or ZoomInfo company ID (required)
  • Optionally: a use case — "prospecting", "deal acceleration", or "renewal" (defaults to PROSPECTING)
  • Optionally: how many results they want (defaults to 25, max 100)

Workflow

  1. Lookup metadata first — before calling any other MCP tool, use lookup to load reference data for any fields relevant to the request. Use the returned id values (not display names) in all subsequent API calls. This ensures accurate parameter resolution and result interpretation.

  2. Resolve the company if the user provided a name or domain:

    • Use search_companies with companyName or companyWebsite to find the company — use lookup id values for any filters.
    • Extract the ZoomInfo company ID from the result.

  3. Enrich the company using enrich_companies with the resolved companyId to get firmographic context (industry, size, revenue, business model). This context is used to interpret the recommendations.

  4. Map the use case to the correct enum value:

    • "prospecting" or default → PROSPECTING (based on contacts you've viewed, copied, or exported on the ZoomInfo platform; has cold-start support)
    • "deal acceleration" or "new business" → DEAL_ACCELERATION (based on contacts in closed-won CRM opportunities for new business)
    • "renewal", "growth", or "expansion" → RENEWAL_AND_GROWTH (based on contacts in closed-won CRM opportunities for renewals)

  5. Get recommendations using get_recommended_contacts with:

    • ziCompanyId: the resolved ZoomInfo company ID
    • useCaseType: the mapped enum value
    • pageSize: user-specified count or 25

  6. Enrich the top contacts using enrich_contacts on the top 10 results (batch of 10) to get full contact details including email, direct phone, and accuracy scores.

Read the full file on GitHub · 83 lines

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. 10d ago First seen · 83 lines · 33 tokens per session scan A 18fb962541ca

Subscribe to this mod's changes

recommend-contacts is a skill published in the GitHub repository Zoominfo/zoominfo-mcp-plugin (7 stars, last pushed 6d ago), licensed MIT. It adds 33 tokens to every session and 1,088 once invoked, about $0.0002 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 2026-08-30.

Marketing and SEO
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