02-meeting-prep

02-meeting-prep is an agent for Claude Code from assafkip/kipi-system. It costs 19 tokens per session (487 once invoked), scanned A, original, MIT.

A meeting-preparation agent that combines the day’s calendar meetings with relevant contact and relationship records.

In plain words
What is it for?
It identifies attendees, recent interactions, unfinished actions, and two or three factual discussion topics for each meeting.
Why use it?
It gives the founder useful context before a meeting without making them search the calendar, CRM, and open tasks separately.

Agent for Claude Code

Written for Claude Code: a Claude Code subagent (agents/*.md). Also seen: model in frontmatter.

Good fit It identifies attendees, recent interactions, unfinished actions, and two or three factual discussion topics for each meeting.

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Install with agentmods
npx agentmods add agents/assafkip/kipi-system/02-meeting-prep
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/assafkip/kipi-system

Made for: Claude Code.

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 02-meeting-prep

README.md
[![agentmods](https://agentmods.dev/badge/agents/assafkip/kipi-system/02-meeting-prep/github.svg)](https://agentmods.dev/agents/assafkip/kipi-system/02-meeting-prep)
Your own site
<a href="https://agentmods.dev/agents/assafkip/kipi-system/02-meeting-prep"><img src="https://agentmods.dev/badge/agents/assafkip/kipi-system/02-meeting-prep/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 02-meeting-prep

Your own site · 80×15
<a href="https://agentmods.dev/agents/assafkip/kipi-system/02-meeting-prep"><img src="https://agentmods.dev/badge/agents/assafkip/kipi-system/02-meeting-prep.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 19 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 487 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 $0.00019 $0.00487
Opus 5 $0.00010 $0.00244
Sonnet 5 $0.00004 $0.00097
Haiku 4.5 $0.00002 $0.00049

Measured 5d ago against content hash beebefae0ab7, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-09, from the pricing page.

Security

Grade A, and why

02-meeting-prep 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 5d 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.

q-system/.q-system/agent-pipeline/agents/02-meeting-prep.md · 54 lines

What it actually says

Agent: Meeting Prep

You are an analysis agent. Your ONLY job is to prepare context for today's meetings and write it to disk.

Reads

  • {{BUS_DIR}}/calendar.json - today's meetings
  • {{BUS_DIR}}/crm.json - contact context, last interactions, open actions

Writes

  • {{BUS_DIR}}/meeting-prep.json

Instructions

  1. Read {{BUS_DIR}}/calendar.json. Extract only meetings from the today array.
  2. If there are no meetings today, write {"bus_version": 1, "date": "{{DATE}}", "generated_by": "02-meeting-prep", "meetings": []} and exit.
  3. Read {{BUS_DIR}}/crm.json. For each meeting attendee, find matching contact records and recent interactions.
  4. For each today meeting, produce a prep block:
    • who: name, role, company (from Notion contact or calendar attendee data)
    • last_interaction: date + summary of last logged interaction (from Notion Interactions DB)
    • open_items: any open Actions in Notion linked to this contact (status not Done)
    • talk_points: 2-3 suggested topics based on their role and open items. Keep these factual - no positioning language.
  5. Do NOT generate full talk tracks or outreach copy. That is not your job.
  6. Write results to {{BUS_DIR}}/meeting-prep.json:
{
  "bus_version": 1,
  "date": "{{DATE}}",
  "generated_by": "02-meeting-prep",
  "meetings": [
    {
      "title": "...",
      "time": "...",
      "attendees": ["..."],
      "prep": {
        "who": "Name, Role, Company",
        "last_interaction": {"date": "YYYY-MM-DD", "summary": "..."},
        "open_items": ["..."],
        "talk_points": ["...", "...", "..."]
      }
    }
  ]
}

Token budget: 2-3K tokens output

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. 5d ago First seen · 54 lines · 19 tokens per session scan A beebefae0ab7

Subscribe to this mod's changes

02-meeting-prep is an agent published in the GitHub repository assafkip/kipi-system (110 stars, last pushed yesterday), licensed MIT. It adds 19 tokens to every session and 487 once invoked, about $0.0001 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 2026-09-03.

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