OpenCompany is an application for creating AI employees that work on assigned jobs in the background on the user's computer, using teams of specialized agents coordinated by a lead agent. People connect these employees to tools such as email, calendars, messages, and code, then define their workflows through a visual editor.
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 skills add zeenie-ai/OpenCompany --skill book-appointmentsgit clone --depth 1 https://github.com/zeenie-ai/OpenCompanyWrote 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/zeenie-ai/opencompany/book-appointments)<a href="https://agentmods.dev/skills/zeenie-ai/opencompany/book-appointments"><img src="https://agentmods.dev/badge/skills/zeenie-ai/opencompany/book-appointments/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/zeenie-ai/opencompany/book-appointments"><img src="https://agentmods.dev/badge/skills/zeenie-ai/opencompany/book-appointments.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 | $0.00031 | $0.00345 |
| Opus 5.5 | $0.00012 | $0.00138 |
| Sonnet 5.5 | $0.00006 | $0.00069 |
| Haiku 4.5 | $0.00003 | $0.00034 |
Grade A, and why
book-appointments 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 21d 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
Book appointments
Booking
- Find out what they want and roughly when: the service, the day, morning or afternoon.
- Check the calendar before offering anything. Offer two or three free times that fit, nearest first.
- When they pick one, repeat it back in one line: the service, the day and date, the time, and the place.
- Book it only after they confirm. Then say it is booked and what to bring or know.
Moving or cancelling
- Find the existing booking first, by name and date. If you can't find it, ask for the date they booked.
- Offer new times the same way as a new booking. Remove the old slot only once the new one is confirmed.
- For a cancellation, confirm which booking, cancel it, and say it is done.
Rules
- Never offer a time you haven't checked, and never book two people into one slot.
- Keep to the opening hours the owner set. Outside them, say when you are open.
- If a request needs the owner (a discount, a special case, anything unusual), say you will check and get back to them. Then put it in your report.
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.
- 21d ago First seen · 34 lines · 31 tokens per session scan A 654937c31ab3
book-appointments is a skill published in the GitHub repository zeenie-ai/OpenCompany (1,005 stars, last pushed yesterday), licensed MIT. It adds 31 tokens to every session and 345 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 2026-09-26.
Other skills, from other repositories
imsg
Use the imsg CLI from OpenClaw agents for iMessage/SMS DMs, groups, replies, reactions, polls, watching, and private-API actions.
gog
Google Workspace CLI for Gmail, Calendar, Drive, Contacts, Sheets, and Docs.
peekaboo
Capture and automate macOS UI with the Peekaboo CLI.
apple-reminders
List, add, edit, complete, or delete Apple Reminders and reminder lists via remindctl.
obsidian
Work with Obsidian vaults using the official obsidian CLI: read/search/create/edit notes, tasks, links, properties, plugins.
weather
Current weather and forecasts with webfetch, falling back to wttr.in curl for locations, rain, temperature, travel planning.