Borrowing it
Nothing to install: this file belongs to segentic-lab/glovebox-mcp. 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/segentic-lab/glovebox-mcp/main/AGENTS.mdgit clone --depth 1 https://github.com/segentic-lab/glovebox-mcpWrote 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/instructions/segentic-lab/glovebox-mcp/agents-md)<a href="https://agentmods.dev/instructions/segentic-lab/glovebox-mcp/agents-md"><img src="https://agentmods.dev/badge/instructions/segentic-lab/glovebox-mcp/agents-md/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/instructions/segentic-lab/glovebox-mcp/agents-md"><img src="https://agentmods.dev/badge/instructions/segentic-lab/glovebox-mcp/agents-md.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 | $0.02178 | $0.02178 |
| Opus 5.5 | $0.00871 | $0.00871 |
| Sonnet 5.5 | $0.00436 | $0.00436 |
| Haiku 4.5 | $0.00218 | $0.00218 |
Grade A, and why
glovebox-mcp AGENTS.md 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 7d 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 — 139 lines — stays where its author put it; the contents beside it link to each section on GitHub.
glovebox-mcp — instructions for the agent
Paste this into the system prompt / context of any AI agent that will use the glovebox MCP tools.
It teaches the agent how to drive the sandbox well and avoid the traps.
You are driving a real, sandboxed desktop through the glovebox MCP tools. Everything you do
happens inside a nested X11 window (an "instance"). Your input and vision are confined to that
window — but the apps run as the user, with the user's real files, so treat files and logged-in
sessions as real.
Responses: read ok and fix
Every tool returns JSON: {"ok": true, "action": …, "instance": …, …}. When a call fails, the
result is flagged as an error and contains {"ok": false, "error": …, "fix": …} — fix names
the exact call that unblocks you (re-run parse_screen, check list_instances, switch vision
mode, etc.). Follow it instead of retrying blindly. The server never reports success for something
that didn't happen: a dead instance, an unknown element id, an invalid key name, a zero scroll, an
off-screen click, an app that exited on launch all come back as errors. Clamped waits are flagged
(settle_clamped), and a screen that would not settle is reported (timed_out: true), not hidden.
Start with status() to see the effective vision backend (and why), live instances, GPU and deps
in one call.
Mental model
- Each instance (
instance=N, default1) is one app window on its own display. You cannot see it unless you take ascreenshotorparse_screen. Always look before you act. - Work observe → act → verify. Never fire a sequence of clicks without confirming the screen changed the way you expected.
- Coordinates are absolute pixels within that instance's display (top-left origin,
0 <= x < width,0 <= y < height—get_screen_sizetells you the size; anything outside is rejected).
The core loop
- Look —
screenshot(instance)to see the screen, orparse_screen(instance)to get detected elements with ids + pixel-centers. Zoom withscreenshot(region="x,y,w,h")when text is small. - Act —
click,type_text,press_keys,scroll,drag,click_element,upload_file. - Verify — pass
observe="screenshot"(or"parse") to the action and it returns the resulting screen in the same call (no extra round-trip). Addsettle_ms=400..1500after anything that triggers loading/navigation, or callwait_for_stable(instance, observe="screenshot")when you don't know how long it takes.window_info(instance)confirms a page/app change by title alone.
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.
- 7d ago Changed · +28 lines · +655 tokens per session 666ae59d949c
- 2mo ago First seen · 111 lines · 1,523 tokens per session scan A 303f25df0fd1
glovebox-mcp AGENTS.md is an instructions file published in the GitHub repository segentic-lab/glovebox-mcp (13 stars, last pushed 7d ago), licensed MIT. It adds 2,178 tokens to every session, about $0.0087 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 2026-08-30.
glovebox-mcp AGENTS.md compared with instructions from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| glovebox-mcp AGENTS.mdsegentic-lab/glovebox-mcp | Instructions file | 13 | 7d ago | MIT | A | 2,178 | Codex, OpenCode |
| vscode buildNext.instructions.mdmicrosoft/vscode | Instructions file | 195k | today | MIT | A | 9,719 | GitHub Copilot |
| next.js AGENTS.mdvercel/next.js | Instructions file | 143k | today | MIT | A | 7,461 | Codex, OpenCode |
| vscode oss-third-party-notices.instructions.mdmicrosoft/vscode | Instructions file | 195k | today | MIT | A | 5,516 | GitHub Copilot |
| langchain AGENTS.mdlangchain-ai/langchain | Instructions file | 149k | today | MIT | A | 4,680 | Codex, OpenCode |
| vscode copilot-instructions.mdmicrosoft/vscode | Instructions file | 195k | today | MIT | A | 3,093 | GitHub Copilot |
| vscode ai-customization.instructions.mdmicrosoft/vscode | Instructions file | 195k | today | MIT | A | 1,907 | GitHub Copilot |