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 marcoloco23/huddle-mcp --skill huddlegit clone --depth 1 https://github.com/marcoloco23/huddle-mcpWrote 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/marcoloco23/huddle-mcp/huddle)<a href="https://agentmods.dev/skills/marcoloco23/huddle-mcp/huddle"><img src="https://agentmods.dev/badge/skills/marcoloco23/huddle-mcp/huddle/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/marcoloco23/huddle-mcp/huddle"><img src="https://agentmods.dev/badge/skills/marcoloco23/huddle-mcp/huddle.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 | $0.00070 | $0.00877 |
| Opus 5.5 | $0.00028 | $0.00351 |
| Sonnet 5.5 | $0.00014 | $0.00175 |
| Haiku 4.5 | $0.00007 | $0.00088 |
Grade A, and why
huddle 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 1mo 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 — 71 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Huddle — book and run agent briefings
huddle-mcp is a coordination broker: parallel coding agents queue their plans
and questions into it instead of interrupting the user. This skill is the
orchestrator side — it turns that queue into real calendar events and records
the user's decisions back. The broker never touches the calendar itself; you bridge
it to whatever Google Calendar MCP the user has connected.
Prerequisites: both huddle-mcp and a Google Calendar MCP are connected.
Booking the queue
plan_meetings→ returnsunbookedMeetings, each withdesiredWindow(asap|next-block),durationMinutes, andbriefingMarkdown.- For each meeting, find a free slot via the calendar MCP (its
suggest_time/list_events/ freebusy tools) within the user's working hours:asap(blockers) → the soonest free slot today.next-block→ the next review block (late morning / late afternoon); bundle, don't scatter. Create the event with:- title = the meeting
title, - description = the meeting
briefingMarkdownverbatim (this is the agenda), - duration =
durationMinutes, - visibility =
private— briefings carry plans and code into the calendar.
confirm_meetingwith themeeting_id, the calendar event id the calendar MCP returned, and thestart/endyou booked.
Then tell the user what you scheduled and when — one line per meeting.
Each briefing description ends with a writable answer block (tkt_xxx → ),
so the user can reply inside the event itself — that's the read-back path below.
Closing the loop — two ways, both unblock the waiting agents
A. The user answers inside the calendar event (e.g. they say "read my huddle answers", or you're checking after a booked briefing's time):
list_agenda→ findbookedmeetings and theircalendarEventId.- For each, fetch the event via the calendar MCP (
get_event) and take itsdescription— the user will have filled in thetkt_xxx → …lines. - Pass that description to
ingest_answers. It parses every filled answer and resolves the matching tickets in one call, returningresolved+skipped. - Report what was resolved; the worker agents unblock on their next
check_response. FYIs need no answer.
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.
- 1mo ago First seen · 71 lines · 70 tokens per session scan A 0464a186c56f
huddle is a skill published in the GitHub repository marcoloco23/huddle-mcp (0 stars, last pushed 3mo ago), licensed MIT. It adds 70 tokens to every session and 877 once invoked, about $0.0003 per session on Opus 5.5. 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 2026-09-01.
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