meeting

meeting is a command for OpenCode from rianvdm/product-ai-public. It costs 14 tokens per session (4,738 once invoked), scanned A, original, MIT.

A meeting-note generator that turns a transcript into a short, organised record of themes, decisions, action items, and unanswered questions. It can use pasted text, a Google Doc, or a file.

In plain words
What is it for?
Use it after meetings to create notes for sharing, track follow-up work, and record open questions.
Why use it?
It removes the need to read a long transcript and manually find the important points. This makes it easier to see what was agreed and what still needs attention.

Command for OpenCode

Written for OpenCode: installed under .opencode/. Also seen: mentions AGENTS.md.

Good fit Use it after meetings to create notes for sharing, track follow-up work, and record open questions.

Compare 6 commands from other repositories ↓
Install with agentmods
npx agentmods add commands/rianvdm/product-ai-public/meeting
Install

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.

Clone the repo
git clone --depth 1 https://github.com/rianvdm/product-ai-public

Made for: OpenCode.

Wrote 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.

agentmods badge for meeting

README.md
[![agentmods](https://agentmods.dev/badge/commands/rianvdm/product-ai-public/meeting/github.svg)](https://agentmods.dev/commands/rianvdm/product-ai-public/meeting)
Your own site
<a href="https://agentmods.dev/commands/rianvdm/product-ai-public/meeting"><img src="https://agentmods.dev/badge/commands/rianvdm/product-ai-public/meeting/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.

agentmods 80×15 button for meeting

Your own site · 80×15
<a href="https://agentmods.dev/commands/rianvdm/product-ai-public/meeting"><img src="https://agentmods.dev/badge/commands/rianvdm/product-ai-public/meeting.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 14 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 4,738 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00014 $0.04738
Opus 5.5 $0.00006 $0.01895
Sonnet 5.5 $0.00003 $0.00948
Haiku 4.5 $0.00001 $0.00474

Measured 21d ago against content hash 15b77d9871c8, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

meeting 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 21d 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.

.opencode/command/meeting.md · 224 lines

How it starts

The opening of the file, as written. The whole thing — 224 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Meeting Summary

Turn a meeting transcript into scannable notes that surface themes, decisions, open questions and action items, with every claim traceable to what was said or to a cited source.

Arguments

  • $INPUT — the transcript text, a Google Doc URL, or a file path. Any trailing text is context from the user, such as the topic or where related docs live.

Workflow

Work through these in order. The run is complete when every step is done, or skipped with the reason given in the report.

  1. Get the complete transcript (§1). Never draft from a truncated tool result: it silently drops the end of the meeting.
  2. Gather the sources that settle it (§2): the deck or document the meeting reviewed, the attendee list, and the related project brain.
  3. Resolve names, products and dates (§3).
  4. Draft topic-grouped notes (§4), then apply provenance markers in a separate pass (§5).
  5. Save to the right meetings/ folder using the template (§6).
  6. Update stakeholder memory (§7).
  7. Offer to update the related project CONTEXT.md with new decisions, status changes, open questions and next steps. Update it if the user confirms or asked for it up front.
  8. Report back briefly: the file path; stakeholder changes and anyone not in memory; names or terms left unresolved; any post-meeting check that changes a decision; and the CONTEXT offer. Opening the file in Obsidian follows AGENTS.md.

1. Get the complete transcript

  • Pasted text: use it. File path: read it.
  • Google Doc URL: the document ID is the string between /d/ and /edit. Read 01-context/agent-tooling.md → cf-portal codemode first, then fetch with codemode.google_workspace_mcp_docs_get({ documentId, format: "markdown" }). If the tool fails, ask the user to paste the transcript.
  • Gemini meeting docs have three tabs: Quick notes, Full notes and Transcript. A ?tab= in the URL only names one of them. Markdown export concatenates all three, so the transcript follows both notes tabs. To read one tab alone, fetch format: "raw" with includeTabsContent: true, pick the tab from doc.tabs[] by tabProperties.title, and join textRun.content from documentTab.body.content. The Full notes tab carries the Invited list and a link to the calendar event. Those names are person chips, so read person.personProperties.name too or the line comes back empty (verified 2026-09-22).

Read the full file on GitHub · 224 lines

Changes

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.

  1. 21d ago Changed · +3 lines 15b77d9871c8
  2. 27d ago Changed · -95 lines · +2 tokens per session 12fe91704669
  3. 1mo ago First seen · 316 lines · 12 tokens per session scan A c0bb95a07557

Subscribe to this mod's changes

meeting is a command published in the GitHub repository rianvdm/product-ai-public (18 stars, last pushed 21d ago), licensed MIT. It adds 14 tokens to every session and 4,738 once invoked, about $0.0001 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 2026-09-09.