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 draft-follow-upgit 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/draft-follow-up)<a href="https://agentmods.dev/skills/zoominfo/zoominfo-mcp-plugin/draft-follow-up"><img src="https://agentmods.dev/badge/skills/zoominfo/zoominfo-mcp-plugin/draft-follow-up/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/draft-follow-up"><img src="https://agentmods.dev/badge/skills/zoominfo/zoominfo-mcp-plugin/draft-follow-up.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 | $0.00116 | $0.00732 |
| Opus 5 | $0.00058 | $0.00366 |
| Sonnet 5 | $0.00023 | $0.00146 |
| Haiku 4.5 | $0.00012 | $0.00073 |
Grade A, and why
draft-follow-up 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.
How it starts
The opening of the file, as written. The whole thing — 49 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Draft Follow-Up
Turn what was said on a call into a tight follow-up email: thank, recap, and confirm next steps.
Prerequisites
browse_engagements (to find the call) is free but requires an active calendar/email/meeting integration; conversation_intelligence (to read it) requires at least one connected meeting or email source and consumes AI credits. If no conversation data exists for the call, say so rather than drafting from assumption.
Input
Provided via $ARGUMENTS:
- Which call (optional) — an account and/or date. If omitted, the skill lists recent calls to pick from.
- Tone / recipient (optional) — e.g. "warm", "more formal for the exec", "to the whole room". Defaults to friendly-professional, addressed to the primary external attendee.
Workflow
- Identify the call.
browse_engagementsfilters by date and by company/contact ID, not by call name, so resolve any named account/contact first viasearch_companies/search_contacts, then callbrowse_engagementsscoped to that ID and date window and pick the matching meeting. If nothing was named, present a numbered shortlist of recent calls and let the user pick before spending credits. Keep the engagement ID. - Extract what was said. Run
conversation_intelligencescoped to that engagement ID for the agreed next steps, commitments on each side, decisions, and any open questions to address in the note. Keep the query scoped to this one engagement. - Confirm direction if ambiguous. If the recipient or tone is unclear, or the call surfaced sensitive points, pause and confirm with the user before drafting.
- Draft the email. Write a concise message: a one-line thanks, a 2-3 sentence recap, a clear list of next steps with owners and any dates, and a single call to action. Include only commitments the conversation actually supports; never invent an owner, a date, or a promise. Keep it skimmable.
Output Format
Subject: [specific, references the meeting or its outcome]
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.
- 10d ago First seen · 49 lines · 116 tokens per session scan A af9a756dc40d
draft-follow-up is a skill published in the GitHub repository Zoominfo/zoominfo-mcp-plugin (7 stars, last pushed 6d ago), licensed MIT. It adds 116 tokens to every session and 732 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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