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 daily-briefgit 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/daily-brief)<a href="https://agentmods.dev/skills/zoominfo/zoominfo-mcp-plugin/daily-brief"><img src="https://agentmods.dev/badge/skills/zoominfo/zoominfo-mcp-plugin/daily-brief/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/daily-brief"><img src="https://agentmods.dev/badge/skills/zoominfo/zoominfo-mcp-plugin/daily-brief.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 | $0.00130 | $0.00941 |
| Opus 5 | $0.00065 | $0.00470 |
| Sonnet 5 | $0.00026 | $0.00188 |
| Haiku 4.5 | $0.00013 | $0.00094 |
Grade A, and why
daily-brief 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 — 48 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Daily Brief
Give the user a fast, per-meeting rundown of their day: where each account stands, the one thing to drive, and what to follow up on.
Prerequisites
browse_engagements (the schedule) requires an active calendar/meeting integration; conversation_intelligence requires at least one connected meeting or email source. account_research, contact_research, and conversation_intelligence all consume AI credits, and this skill calls them once per meeting — so a full day of meetings can be credit-heavy. Confirm scope before fanning out (see Workflow step 2). If no integration is connected, report that and point the user to their ZoomInfo admin.
Input
Provided via $ARGUMENTS:
- Day (optional) — defaults to today. "Tomorrow", "Monday", or a date all work.
- Filter (optional) — e.g. "customer meetings only", "just external", a specific account. Defaults to external meetings (ones with non-colleague participants).
Workflow
-
Get the schedule. Call
browse_engagementswith a window covering the target day (engagementType: MEETINGS,sort: chronological). Drop internal-only meetings (no external participants) unless the user asked for everything. -
Size it and confirm. Count the external meetings. Each one fans out three AI-credit calls (
account_research,contact_research,conversation_intelligence), so the spend adds up quickly — even a handful of meetings is a non-trivial number of AI credits. If there are more than a few (roughly 3+), tell the user the meeting count, note that each is researched with several AI-credit calls, and offer to scope down (external customer meetings only, the most important few, or a named subset) before proceeding. This pause keeps a packed calendar from turning into a large unprompted credit spend. -
Research each meeting (parallel, bounded). For the in-scope meetings, fan out per meeting:
account_research(kept light — this is a day view, not a full brief),contact_researchfor the attendees, andconversation_intelligencescoped to the account or the specific engagement for recent state and open items. Parallelize across meetings, but respect the volume you confirmed in step 2. Keep each CI query scoped to one account or engagement; CI cannot search by topic, filter by call type, or count mentions, and only reasons over the last few engagements — base each card on what it returns, not on it having full history.
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 · 48 lines · 130 tokens per session scan A 26c36b99ade4
daily-brief is a skill published in the GitHub repository Zoominfo/zoominfo-mcp-plugin (7 stars, last pushed 7d ago), licensed MIT. It adds 130 tokens to every session and 941 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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