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 Zoominfo/zoominfo-mcp-plugin --skill company-intent-monitorgit clone --depth 1 https://github.com/Zoominfo/zoominfo-mcp-pluginWrote 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/zoominfo/zoominfo-mcp-plugin/company-intent-monitor)<a href="https://agentmods.dev/skills/zoominfo/zoominfo-mcp-plugin/company-intent-monitor"><img src="https://agentmods.dev/badge/skills/zoominfo/zoominfo-mcp-plugin/company-intent-monitor/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/zoominfo/zoominfo-mcp-plugin/company-intent-monitor"><img src="https://agentmods.dev/badge/skills/zoominfo/zoominfo-mcp-plugin/company-intent-monitor.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 | $0.00110 | $0.00583 |
| Opus 5 | $0.00055 | $0.00292 |
| Sonnet 5 | $0.00022 | $0.00117 |
| Haiku 4.5 | $0.00011 | $0.00058 |
Grade A, and why
company-intent-monitor 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 13d 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 — 44 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Company Intent Monitor
What is this account actively researching, and does any of it line up with what we sell?
Prerequisites
enrich_company_signals charges data credits — each intent signal returned counts as a record, but companies already under management (enriched within the last 12 months) are free. get_gtm_context is free. Intent availability depends on your ZoomInfo package; if no intent is on file, that is a real (and useful) answer, not an error.
Input
Provided via $ARGUMENTS:
- Company (required) — ZoomInfo company ID (preferred), or a name/domain to resolve via
search_companies. If none is supplied, ask which company. - Focus (optional) — topics or themes you care about, to weight the alignment read.
Workflow
- Set the lens. Call
get_gtm_context(free) for your offerings, ICP, and competitors — the basis for judging which topics matter. - Resolve the company. Use the ZoomInfo ID directly, or resolve a name/domain via
search_companies. - Pull intent. Run
enrich_company_signalswithsignalTypes: ["INTENT"]for the company. Read the topics, their signal scores, and recency. - Analyze alignment. Map each topic against your offerings and ICP: which topics indicate demand for something you sell, which point at a competitor's category, and which are noise. Call out the strongest aligned topics. Do not stretch a loosely related topic into a fit it does not have.
Output Format
Intent monitor — [Company]
Recent intent topics
| Topic | Signal score | Recency |
|---|
Strongest first.
Alignment with your offerings — the topics that map to what you sell (and which offering), with a one-line reason each. Note any competitor-category intent separately.
Read — 1-2 lines: what the pattern suggests and whether this account is worth prioritizing now.
If there is no active intent — say so plainly; absence of intent is a legitimate result, and it means this account is not currently showing research-based demand.
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.
- 13d ago First seen · 44 lines · 110 tokens per session scan A 9088462e5b82
company-intent-monitor is a skill published in the GitHub repository Zoominfo/zoominfo-mcp-plugin (7 stars, last pushed 9d ago), licensed MIT. It adds 110 tokens to every session and 583 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 2026-08-30.
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