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 android-phone-skillgit 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/android-phone-skill)<a href="https://agentmods.dev/skills/zeenie-ai/opencompany/android-phone-skill"><img src="https://agentmods.dev/badge/skills/zeenie-ai/opencompany/android-phone-skill/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/android-phone-skill"><img src="https://agentmods.dev/badge/skills/zeenie-ai/opencompany/android-phone-skill.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 | $0.00025 | $0.00584 |
| Opus 5.5 | $0.00010 | $0.00234 |
| Sonnet 5.5 | $0.00005 | $0.00117 |
| Haiku 4.5 | $0.00003 | $0.00058 |
Grade A, and why
android-phone-skill 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 18d 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 — 39 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Shared Android phone
Call android with a single prompt describing one clear goal, the relevant app, and what result to verify. The tool controls the phone visible in Workspace > Mobile. It returns the result after its internal phone steps finish.
- Use one call for a coherent task; avoid one model-driven call per tap. Each call starts a phone agent and has model latency.
- Do not invent low-level operations or pass model, credential, timeout, or step-budget arguments. These come from the saved phone settings.
- Global model selection is the default. An optional connected model overrides it. OpenAI, Claude and Gemini are supported; Gemini Express credentials automatically route to Vertex.
- A phone task is one tool call in the parent agent's turn. Its internal steps appear on the Android node and in Workspace; they are not extra parent-agent turns. Do not claim completion while the tool is still running.
- If the owner takes control, wait for them to resume the task. Ask them to enter passwords and handle interactive login themselves. Never request passwords in chat.
- If the phone is off, direct the owner to Workspace > Mobile > Start phone. Do not install another emulator or attempt raw ADB access.
- Read returned errors. Authentication, quota, unsupported-model, and connection failures need their stated remedy; do not repeat failed calls in a loop or treat an error payload as success.
- Terminal source
mobileshows the execution ID, provider, model backend, model wait, and device timing. Report the error and relevant phase without asking the owner to reveal API keys.
Example: {"prompt":"Open Settings, find the Android version, and report it without changing settings."}
Live Android activity
Workspace shows the active phone task's model/provider, step budget, total elapsed time, current phase duration, and time since the last reported activity. The expandable activity panel retains the latest 40 events: model requests/responses and actual device operations (screen plus accessibility-tree reads, taps, scrolling, typing, navigation, and app actions). Completed operations include duration. The last task remains visible after completion, failure, or cancellation until another task runs; history is in memory and clears on restart. A 30-second quiet period shows a notice, not a claim that the engine is stuck. Use the last phase to distinguish a model wait from device I/O; take manual control using Use phone if needed. The panel is outside the phone canvas and hidden in full-screen mode. Activity contains operational summaries, never private model reasoning, typed text, URLs, or prompt content.
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.
- 18d ago First seen · 39 lines · 25 tokens per session scan A 579493fec272
android-phone-skill is a skill published in the GitHub repository zeenie-ai/OpenCompany (1,005 stars, last pushed yesterday), licensed MIT. It adds 25 tokens to every session and 584 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 2026-09-29.
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gh-issues
Fetch GitHub issues, select candidates, spawn background fix agents, open PRs, and optionally process PR review comments.