Borrowing it
Nothing to install: this file belongs to 2018wzh/windows-sandbox-computer-use. 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/2018wzh/windows-sandbox-computer-use/main/AGENTS.mdgit clone --depth 1 https://github.com/2018wzh/windows-sandbox-computer-useWrote 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/2018wzh/windows-sandbox-computer-use/agents-md)<a href="https://agentmods.dev/instructions/2018wzh/windows-sandbox-computer-use/agents-md"><img src="https://agentmods.dev/badge/instructions/2018wzh/windows-sandbox-computer-use/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/2018wzh/windows-sandbox-computer-use/agents-md"><img src="https://agentmods.dev/badge/instructions/2018wzh/windows-sandbox-computer-use/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 | $0.00475 | $0.00475 |
| Opus 5.5 | $0.00190 | $0.00190 |
| Sonnet 5.5 | $0.00095 | $0.00095 |
| Haiku 4.5 | $0.00047 | $0.00047 |
Grade A, and why
windows-sandbox-computer-use 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 1mo 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 — 55 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Repository instructions
Product boundary
This repository ships one Windows Sandbox-only skill through two distribution surfaces:
- a skills-only Codex plugin and repo Marketplace;
- the open Agent Skills layout discovered by
npx skills.
Both surfaces must consume the single canonical skill tree at:
plugins/windows-sandbox-computer-use/skills/windows-sandbox-computer-use/
Do not create a second skill copy, generic RDP backend, legacy Sandbox window backend, compatibility layer, credential path, or silent fallback.
Runtime architecture
Node session -> Python adapter -> wsb / SandboxCore -> IronRDP NamedPipe
Native guest commands, IP queries and scoped sharing use wsb directly and need no RDP session. Use command batches for deterministic work and screenshots for visual decisions. Native exec returns exit codes only; never fabricate stdout or retry unknown execution outcomes. Keep commands on the guest and mounted host writes scoped.
Use wsb share for scoped directory sharing. Keep read-only as the default. Writable sharing requires explicit authorization for the exact source and destination.
Change requirements
-
Use the persistent Node session for guest input, with one inspected observation per action and automatic screenshot refresh. Keep guidance, API, safety and confirmations self-contained.
-
No guest UIA or window enumeration is available; do not advertise those capabilities. Lifecycle and sharing remain owned by the Python adapter. Node built-ins are the only JavaScript dependencies.
-
Fail closed on missing or incompatible dependencies.
-
Preserve structured, bounded error output and observable lifecycle state.
-
Keep repository paths relative and never commit machine-specific paths, Sandbox IDs, screenshots, logs, or credentials.
-
Update
README.md, plugin metadata, Marketplace metadata, tests, and this file when product scope or distribution changes. -
Increment the strict semantic version in
.codex-plugin/plugin.jsonfor releases.
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.
- 1mo ago Changed · +5 lines · +63 tokens per session 34a43464c99f
- 1mo ago Changed · +4 lines · +94 tokens per session f716ae0b0a57
- 2mo ago First seen · 46 lines · 318 tokens per session scan A df6f8bfc43d9
windows-sandbox-computer-use AGENTS.md is an instructions file published in the GitHub repository 2018wzh/windows-sandbox-computer-use (2 stars, last pushed 1mo ago), licensed MIT. It adds 475 tokens to every session, about $0.0019 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 2026-08-31.
Other instructions, from other repositories
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Working notes and architecture documentation for the new esbuild-based build system in build/next. Use when making changes to the new build pipeline (transpile/bundle commands, NLS plugin, source-map handling, resource copying, or self-hosting watch tasks).
next.js AGENTS.md
AGENTS.md instructions for vercel/next.js, covering next.js development guide, codebase structure, monorepo overview, core package: packages/next and other important packages.
vscode oss-third-party-notices.instructions.md
Instructions for microsoft/vscode, covering vs code oss third-party-notices pipeline, architecture, pipeline flow in ci, cache eligibility and rollout and applying the notice (cutover).
langchain AGENTS.md
AGENTS.md instructions for langchain-ai/langchain, covering global development guidelines for the langchain monorepo, corridor security analysis, project architecture and context, monorepo structure and development tools & commands.
vscode copilot-instructions.md
Copilot instructions for microsoft/vscode, covering vs code copilot instructions, project overview, root folders, core architecture (src/ folder) and built-in extensions (extensions/ folder).
generative-ai-for-beginners AGENTS.md
AGENTS.md instructions for microsoft/generative-ai-for-beginners, covering agents.md, project overview, setup commands, initial repository setup and clone the repository.