Borrowing it
Nothing to install: this file belongs to luanmorenommaciel/agentspec. 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/luanmorenommaciel/agentspec/main/.claude/commands/core/meeting.mdgit clone --depth 1 https://github.com/luanmorenommaciel/agentspecWrote 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/commands/luanmorenommaciel/agentspec/meeting)<a href="https://agentmods.dev/commands/luanmorenommaciel/agentspec/meeting"><img src="https://agentmods.dev/badge/commands/luanmorenommaciel/agentspec/meeting.svg" alt="Measured on agentmods" 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 | $0.00017 | $0.00343 |
| Opus 5 | $0.00009 | $0.00171 |
| Sonnet 5 | $0.00003 | $0.00069 |
| Haiku 4.5 | $0.00002 | $0.00034 |
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 6d 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.
What it actually says
/meeting Command
Analyze meeting transcripts and extract structured, actionable documentation.
Usage
# Analyze a meeting transcript
/meeting notes/standup-2026-03-26.md
# Analyze and create requirements
/meeting notes/stakeholder-review.md --output define
# Consolidate multiple meetings
/meeting notes/sprint-*.md --consolidate
What It Does
- Invokes the meeting-analyst agent
- Reads meeting transcript (notes, recording summary, or raw text)
- Extracts:
- Decisions made (with who decided and context)
- Action items (with owner, deadline, priority)
- Open questions (unresolved, needs follow-up)
- Key insights (non-obvious observations)
- Data engineering context (if present: sources, SLAs, schema changes)
Output Format
## Meeting Analysis: {Title}
### Decisions
| # | Decision | Decided By | Context |
|---|----------|-----------|---------|
### Action Items
| # | Action | Owner | Deadline | Priority |
|---|--------|-------|----------|----------|
### Open Questions
| # | Question | Blocker? | Follow-up |
|---|----------|----------|-----------|
### Key Insights
- {Non-obvious observation}
Integration with SDD
Use --output define to generate a DEFINE document from meeting notes — the meeting-analyst extracts requirements and feeds them into the define-agent.
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.
- 6d ago First seen · 58 lines · 17 tokens per session scan A b213a727419e
meeting is a command published in the GitHub repository luanmorenommaciel/agentspec (246 stars, last pushed 2d ago), licensed MIT. It adds 17 tokens to every session and 343 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 2026-09-01.
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