meeting

meeting is a skill for Claude Code, Codex from Railly/agent-brain. It costs 11 tokens per session (753 once invoked), scanned A, original, MIT.

A meeting-notes workflow that turns supplied text or an audio/video recording into structured notes, action items, and a corrected transcript.

In plain words
What is it for?
Use it to create dated meeting notes, assign action items, and format a corrected dialogue transcript.
Why use it?
It removes the manual work of transcribing discussions and separating decisions, insights, and follow-up tasks.

Skill for Claude CodeCodex

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.

agentmods
npx agentmods add skills/railly/agent-brain/meeting
Any agent
npx skills add Railly/agent-brain --skill meeting
Clone the repo
git clone --depth 1 https://github.com/Railly/agent-brain

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

README.md
[![agentmods](https://agentmods.dev/badge/skills/railly/agent-brain/meeting.svg)](https://agentmods.dev/skills/railly/agent-brain/meeting)
Your own site
<a href="https://agentmods.dev/skills/railly/agent-brain/meeting"><img src="https://agentmods.dev/badge/skills/railly/agent-brain/meeting.svg" alt="Measured on agentmods" height="20"></a>
Per session 11 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 753 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
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 $0.00011 $0.00753
Opus 5 $0.00005 $0.00377
Sonnet 5 $0.00002 $0.00151
Haiku 4.5 $0.00001 $0.00075

Measured 4d ago against content hash 2be6a48ceda3, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, 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 4d 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.

.agents/skills/meeting/SKILL.md · 103 lines

How it starts

The opening of the file, as written. The whole thing — 103 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Process meeting notes: $ARGUMENTS

IMPORTANT: Be direct

  • Don't check if folders exist
  • Don't search existing notes
  • Just create and append

Step 0: Transcribe (if audio/video input)

If the user provides an audio or video file (.mp3, .mp4, .wav, .m4a, .webm, .ogg) or a URL (YouTube, Google Meet recording, etc.), transcribe it first using trx:

trx "$ARGUMENTS" --output json --fields text

This outputs the full transcript as text. Use that as the meeting content for the steps below.

If the user provides text directly, skip this step.

Flow

  1. Create meeting note in 03_Garden/meetings/{YYYY-MM-DD}/{slug}.md:

    ---
    type: meeting
    created: {{date}}
    attendees:
      - "[[Person 1]]"
      - "[[Person 2]]"
    project:
    ---
    # {Meeting Title}
    
    ## Key Decisions
    -
    
    ## Insights
    -
    
    ## Action Items
    - [ ] @{person}: {task}
    
    ## Notes
    {summary of discussion}
    
  2. Create corrected transcript in 03_Garden/meetings/{YYYY-MM-DD}/{slug}-transcript.md:

    • Fix common transcription errors (tool names, product names, technical terms)
    • Format as dialogue: **{Person 1}:** ... / **{Person 2}:** ...
    • Keep the natural spoken language as-is
    • Add [Pause], [Screen share], [Laughter] annotations where evident
    • Frontmatter:
    ---
    type: transcript
    created: {{date}}
    meeting: "[[{slug}]]"
    language: {detected language}
    coverage: {full (~Xmin) | partial (~Xmin of Ymin)}
    ---
    # Transcript: {Title} - {duration}
    
  3. Create summary in 03_Garden/meetings/{YYYY-MM-DD}/{slug}-summary.md:

    • Written in first person reflecting on the conversation
    • Structured sections: Context, Key Topics, Learnings, Takeaways
    • Frontmatter:
    ---
    type: summary
    created: {{date}}
    meeting: "[[{slug}]]"
    ---
    
  4. Create person notes for attendees not yet in 03_Garden/people/

Read the full file on GitHub · 103 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. 4d ago First seen · 103 lines · 11 tokens per session scan A 2be6a48ceda3

Subscribe to this mod's changes

meeting is a skill published in the GitHub repository Railly/agent-brain (22 stars, last pushed 1mo ago), licensed MIT. It adds 11 tokens to every session and 753 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 2026-08-30.

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