meeting-intelligence

meeting-intelligence is a skill for Claude Code from panaversity/agentfactory-business-plugins. It costs 84 tokens per session (1,180 once invoked), scanned A, original, Apache-2.0.

A workflow for preparing meetings, supporting structured notes during them, and turning notes into a follow-up record afterward. It uses D/A/F/Q/R labels and reads a local work-context file when available.

In plain words
What is it for?
It helps create meeting briefs, capture notes, identify decisions and action owners, record deadlines, and propose follow-up items.
Why use it?
It keeps meeting context, decisions, questions, and follow-up work in one repeatable format.

Skill for Claude Code

Written for Claude Code: shipped in a Claude Code plugin.

Part of the agentic-office plugin — 10 skills, 4 agents shipped together

Good fit It helps create meeting briefs, capture notes, identify decisions and action owners, record deadlines, and propose follow-up items.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/panaversity/agentfactory-business-plugins/meeting-intelligence
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.

Any agent
npx skills add panaversity/agentfactory-business-plugins --skill meeting-intelligence
Clone the repo
git clone --depth 1 https://github.com/panaversity/agentfactory-business-plugins

Made for: Claude Code.

Or install agentic-office, the plugin that ships this one along with the rest of its 10 skills, 4 agents.

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-intelligence

README.md
[![agentmods](https://agentmods.dev/badge/skills/panaversity/agentfactory-business-plugins/meeting-intelligence/github.svg)](https://agentmods.dev/skills/panaversity/agentfactory-business-plugins/meeting-intelligence)
Your own site
<a href="https://agentmods.dev/skills/panaversity/agentfactory-business-plugins/meeting-intelligence"><img src="https://agentmods.dev/badge/skills/panaversity/agentfactory-business-plugins/meeting-intelligence/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-intelligence

Your own site · 80×15
<a href="https://agentmods.dev/skills/panaversity/agentfactory-business-plugins/meeting-intelligence"><img src="https://agentmods.dev/badge/skills/panaversity/agentfactory-business-plugins/meeting-intelligence.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 84 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,180 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 $0.00084 $0.01180
Opus 5 $0.00042 $0.00590
Sonnet 5 $0.00017 $0.00236
Haiku 4.5 $0.00008 $0.00118

Measured 9d ago against content hash 216588507955, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-09, from the pricing page.

Security

Grade A, and why

meeting-intelligence 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.

agentic-office/skills/meeting-intelligence/SKILL.md · 153 lines

How it starts

The opening of the file, as written. The whole thing — 153 lines — stays where its author put it; the contents beside it link to each section on GitHub.

MEETING INTELLIGENCE WORKFLOW

STEP 1 — LOAD CONTEXT

Read work.local.md in the current working directory. If it does not exist, tell the user to run /agentic-office:setup first.

STEP 2 — IDENTIFY PHASE

The Three-Phase Model

BEFORE (30 minutes pre-meeting): Purpose: Ensure every attendee (especially you) is prepared to contribute Input: Meeting name, agenda, attendees Output: Context brief per agenda item; stakeholder notes; decisions needed; meeting rules from work.local.md culture

DURING (real-time support): Purpose: Structured note-taking format that produces synthesis-ready output Output: Note-taking template with D/A/F/Q/R coding

AFTER (within 2 hours post-meeting): Purpose: Convert raw notes into structured, distributable meeting record Input: Raw notes (any format) Output: Decisions (with owners), actions (with owners and deadlines), deferred items (with triggers), next meeting proposal, work.local.md update proposals

STEP 3 — EXECUTE

Meeting Prep Output Structure
MEETING BRIEF — [Meeting Name]
Date: [Date] | Time: [Time + Timezone] | Duration: [Duration]
Attendees: [List — with roles from work.local.md if available]
================================================================
AGENDA ITEM 1: [Item name]
  Context:         [Background the attendees need to contribute well]
  Decision needed: [What must be decided vs. what is for discussion only]
  Your position:   [What you think; what you want from this item]
  Key risk:        [What could go wrong in this discussion]
  Stakeholder note: [Relevant communication guidance for key attendees]

[Repeat for each agenda item]

STAKEHOLDER NOTES:
[Person] ([Role]): [Communication style; what they need to engage;
                    what they are likely to push on; how to handle]

MEETING RULES (from work.local.md):
[Apply culture.decision_making; culture.unwritten_rules relevant to this group]

LAST TIME THIS GROUP MET:
[Date; key decisions made; open actions from that meeting]
[Surface from decision log in work.local.md]

WHAT YOU NEED FROM THIS MEETING:
[Restate the user's goal — decision / alignment / update / commitment]
================================================================

Read the full file on GitHub · 153 lines

Files

What ships with it

2 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.

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. 9d ago First seen · 153 lines · 84 tokens per session scan A 216588507955

Subscribe to this mod's changes

meeting-intelligence is a skill published in the GitHub repository panaversity/agentfactory-business-plugins (29 stars, last pushed 5mo ago), licensed Apache-2.0. It adds 84 tokens to every session and 1,180 once invoked, about $0.0004 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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