Borrowing it
Nothing to install: this file belongs to Railly/agent-brain. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/Railly/agent-brain/main/.agents/skills/meeting/SKILL.mdgit clone --depth 1 https://github.com/Railly/agent-brainWrote 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.
[](https://agentmods.dev/skills/railly/agent-brain/meeting)<a href="https://agentmods.dev/skills/railly/agent-brain/meeting"><img src="https://agentmods.dev/badge/skills/railly/agent-brain/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.
<a href="https://agentmods.dev/skills/railly/agent-brain/meeting"><img src="https://agentmods.dev/badge/skills/railly/agent-brain/meeting.svg" alt="Reviewed on agentmods" width="80" height="20"></a>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.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00011 | $0.00753 |
| Opus 5.5 | $0.00004 | $0.00301 |
| Sonnet 5.5 | $0.00002 | $0.00151 |
| Haiku 4.5 | $0.00001 | $0.00075 |
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 2mo 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.
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
-
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} -
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} -
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}]]" --- -
Create person notes for attendees not yet in
03_Garden/people/
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.
- 2mo ago First seen · 103 lines · 11 tokens per session scan A 2be6a48ceda3
meeting is a skill published in the GitHub repository Railly/agent-brain (22 stars, last pushed 3mo ago), licensed MIT. It adds 11 tokens to every session and 753 once invoked, about $0.0000 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.
meeting compared with skills from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| meetingRailly/agent-brain | Skill | 22 | 3mo ago | MIT | A | 11 | Claude Code |
| orbit-notionnexu-io/open-design | Skill | 106k | yesterday | Apache-2.0 | A | 117 | Claude Code, Codex |
| instrument-data-to-allotropeanthropics/knowledge-work-plugins | Skill | 35k | 2d ago | Apache-2.0 | A | 123 | Claude Code |
| apify-youtube-transcript-scrapersickn33/agentic-awesome-skills | Skill | 49k | yesterday | MIT | A | 48 | Claude Code |
| legal-holdanthropics/claude-for-legal | Skill | 9.9k | 3d ago | Apache-2.0 | A | 68 | Claude Code |
| ppt-reviewOrkas-AI/Orkas | Skill | 9.0k | yesterday | MIT | A | 2 | Claude Code, Codex |
| feishuHmbown/CodeWhale | Skill | 41k | 5d ago | MIT | A | 33 | Claude Code, Codex |