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.
npx agentmods add commands/spillwavesolutions/automating-mac-apps-plugin/meeting-setupgit clone --depth 1 https://github.com/SpillwaveSolutions/automating-mac-apps-pluginWrote 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/spillwavesolutions/automating-mac-apps-plugin/meeting-setup)<a href="https://agentmods.dev/commands/spillwavesolutions/automating-mac-apps-plugin/meeting-setup"><img src="https://agentmods.dev/badge/commands/spillwavesolutions/automating-mac-apps-plugin/meeting-setup.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 | $0.00023 | $0.00395 |
| Opus 5 | $0.00012 | $0.00198 |
| Sonnet 5 | $0.00005 | $0.00079 |
| Haiku 4.5 | $0.00002 | $0.00040 |
Grade A, and why
meeting-setup 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 3d 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 Setup
Prepares a meeting by ensuring attendees exist in Contacts, creating prep reminders, and setting calendar alerts.
Usage
/meeting-setup --title "Client Review" --start 2024-07-01T15:00 \
--end 2024-07-01T16:00 \
--attendees "[email protected], Bob <[email protected]>" \
--prep-tasks "create slide deck, write proposal, gather metrics"
Behavior
- Parses attendees; checks Contacts and offers to upsert missing people.
- Creates prep reminders (defaults: create slide deck, write proposal) in a prep list with due dates before the meeting.
- Updates/creates the Calendar event and sets alerts 1 day, 1 hour, and 15 minutes before.
- Confirms ready-state for follow-on commands (
meeting-start,meeting-end), and notes that transcripts/notes will be harvested after the meeting for follow-ups.
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.
- 3d ago First seen · 44 lines · 0 tokens per session scan A a9a5225cf3b4
meeting-setup is a command published in the GitHub repository SpillwaveSolutions/automating-mac-apps-plugin (40 stars, last pushed 12d ago), licensed MIT. It adds 23 tokens to every session and 395 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.
Other commands, from other repositories
search
Search saved conversations by keyword or date.
meeting-notes
Summarize a meeting transcript into structured notes with decisions, action items, and follow-ups.
calendar
View calendars, manage events, and check availability.
ai
Privacy-first AI assistant with multi-provider support.
tui
Interactive terminal interface for Nylas email, calendar, and contacts.
prompt
System instructions for writing effective prompts. Apply when generating commands, skills, agents, or any LLM instructions.