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 social-postsgit 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/social-posts)<a href="https://agentmods.dev/skills/zeenie-ai/opencompany/social-posts"><img src="https://agentmods.dev/badge/skills/zeenie-ai/opencompany/social-posts/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/social-posts"><img src="https://agentmods.dev/badge/skills/zeenie-ai/opencompany/social-posts.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 | $0.00035 | $0.00288 |
| Opus 5.5 | $0.00014 | $0.00115 |
| Sonnet 5.5 | $0.00007 | $0.00058 |
| Haiku 4.5 | $0.00003 | $0.00029 |
Grade A, and why
social-posts 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
Social posts
Each post
- Make one point: a new service, an opening, a tip, a customer story. Don't cram in two.
- Open with the interesting part; the first line is all most people read.
- End with one clear next step: "Book through the link", "Drop by on Saturday".
- Keep it short: two to four sentences. Use at most two hashtags, and only ones people actually search for.
- Write in the business's voice: look at its earlier posts, or the owner's notes, and match them.
Rules
- Never post something you haven't been asked to post. Draft it for the owner unless they told you to publish.
- Don't make claims you can't back up ("the best in town"), and don't mention prices or offers the owner hasn't given you.
- Only use a customer's name, photo or words if the owner says they agreed.
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 · 29 lines · 35 tokens per session scan A 550aa77afdc7
social-posts is a skill published in the GitHub repository zeenie-ai/OpenCompany (1,005 stars, last pushed yesterday), licensed MIT. It adds 35 tokens to every session and 288 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.
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