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 email-thread-summarizergit 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/email-thread-summarizer)<a href="https://agentmods.dev/skills/zoominfo/zoominfo-mcp-plugin/email-thread-summarizer"><img src="https://agentmods.dev/badge/skills/zoominfo/zoominfo-mcp-plugin/email-thread-summarizer/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/email-thread-summarizer"><img src="https://agentmods.dev/badge/skills/zoominfo/zoominfo-mcp-plugin/email-thread-summarizer.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 | $0.00131 | $0.00661 |
| Opus 5 | $0.00066 | $0.00331 |
| Sonnet 5 | $0.00026 | $0.00132 |
| Haiku 4.5 | $0.00013 | $0.00066 |
Grade A, and why
email-thread-summarizer 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 9d 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.
Email Thread Summarizer
Collapse a long email chain into what matters: where it stands, what was decided, and what is still open.
Prerequisites
browse_engagements (to find the thread) requires a connected email integration; conversation_intelligence (to read the body) requires at least one connected email source and consumes AI credits. If the thread's content is not available to read, say so rather than guessing at its contents.
Input
Provided via $ARGUMENTS:
- Which thread (optional) — an account, contact, or subject. If omitted, the skill lists recent email threads to pick from.
- Emphasis (optional) — e.g. "what do they need from me", "just the decisions". Shapes the output.
Workflow
- Find the thread. Call
browse_engagementswithengagementType: EMAILS(scoped to the account/contact if known,sort: -chronological). If the target is ambiguous, present a short numbered shortlist (subject, participants, date) and let the user pick before spending credits. Keep the chosen engagement ID. - Read the body. Run
conversation_intelligencescoped to that engagement ID withincludeContent: trueso it returns the actual email body/thread alongside its answer. Ask for the thread's current state, the decisions and commitments, and the open questions. Keep it to the one thread; CI cannot search across threads by topic. - Summarize. Distill the chain in reading order of importance, not message order. Attribute key points to who said them. Surface what needs a reply or a decision. Do not invent positions no one stated.
Output Format
Thread summary — [Subject]
Participants: [names]. Spans [first date] to [last date], [N] messages.
Where it stands — 2-3 sentences on the current state and what the thread is waiting on.
Decisions & key points — bullets, each attributed to who said it.
Open questions / needs a reply — what is unresolved, and specifically what is being asked of whom.
Suggested reply focus (if the user is drafting a response) — the one or two things their reply should address.
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.
- 9d ago First seen · 44 lines · 131 tokens per session scan A 8deea0e409f8
email-thread-summarizer is a skill published in the GitHub repository Zoominfo/zoominfo-mcp-plugin (7 stars, last pushed 5d ago), licensed MIT. It adds 131 tokens to every session and 661 once invoked, about $0.0007 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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