meeting_notes

meeting_notes is a skill for Claude Code, Codex from siddsachar/row-bot. It costs 14 tokens per session (451 once invoked), scanned A, original, Apache-2.0.

A meeting-minutes workflow that turns raw notes or a transcript into participants, discussion points, decisions, and assigned follow-up tasks.

In plain words
What is it for?
Use it to summarise meetings, organise decisions and action items, save facts to a knowledge graph, and offer to schedule mentioned follow-up meetings.
Why use it?
It makes unstructured notes easier to scan and records who is responsible for each action and when it is due, if stated.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one.

Good fit Use it to summarise meetings, organise decisions and action items, save facts to a knowledge graph, and offer to schedule mentioned follow-up meetings.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/siddsachar/row-bot/meeting_notes
About the project

Row-Bot is a local-first desktop AI assistant that combines language models with memory and tools for working across files, repositories, workflows, and communication channels. It is intended for people who want an assistant that can run locally while keeping application data on their machine.

siddsachar/row-bot · 1,672 stars · on GitHub · row-bot.ai

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 siddsachar/row-bot --skill meeting_notes
Clone the repo
git clone --depth 1 https://github.com/siddsachar/row-bot

Made for: Claude Code, Codex.

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_notes

README.md
[![agentmods](https://agentmods.dev/badge/skills/siddsachar/row-bot/meeting_notes/github.svg)](https://agentmods.dev/skills/siddsachar/row-bot/meeting_notes)
Your own site
<a href="https://agentmods.dev/skills/siddsachar/row-bot/meeting_notes"><img src="https://agentmods.dev/badge/skills/siddsachar/row-bot/meeting_notes/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_notes

Your own site · 80×15
<a href="https://agentmods.dev/skills/siddsachar/row-bot/meeting_notes"><img src="https://agentmods.dev/badge/skills/siddsachar/row-bot/meeting_notes.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 14 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 451 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. Third-party audits
  • NVIDIA SkillSpector pass 7 Sept 2026
How audits are shown
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 $0.00451
Opus 5.5 $0.00006 $0.00180
Sonnet 5.5 $0.00003 $0.00090
Haiku 4.5 $0.00001 $0.00045

Measured 1mo ago against content hash 31b4be6e8c08, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

meeting_notes 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.

bundled_skills/meeting_notes/SKILL.md · 50 lines

What it actually says

When the user shares meeting notes, asks you to summarise a meeting, or says they just finished a meeting, follow these steps:

  1. Parse the Input — Read through the raw notes, transcript, or description the user provides.
  2. Identify Participants — List everyone mentioned or involved.
  3. Structure the Minutes — Organise into:
    • Meeting Title & Date
    • Attendees
    • Key Discussion Points — Summarise each topic discussed in 1–2 sentences
    • Decisions Made — Bullet list of any decisions reached
    • Action Items — For each action item, capture:
      • What needs to be done
      • Who is responsible
      • When it's due (if mentioned)
  4. Save to Knowledge Graph — Store action items, decisions, and key facts to memory. Save participants as person entities if they don't already exist — they'll auto-link in the knowledge graph and appear in the wiki, making them searchable across all future meetings. Use descriptive subjects like Team Standup Actions — March 28. Link action items to the people responsible.
  5. Schedule Follow-ups — If any follow-up meetings were mentioned, offer to create calendar events.
  6. Present — Output the structured minutes in a clean, skimmable format.

Keep the language professional but concise. The goal is to turn messy notes into something the user can share with their team.

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. 1mo ago First seen · 50 lines · 14 tokens per session scan A 31b4be6e8c08

Subscribe to this mod's changes

meeting_notes is a skill published in the GitHub repository siddsachar/row-bot (1,672 stars, last pushed today), licensed Apache-2.0. It adds 14 tokens to every session and 451 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 2026-08-30.

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