Getting it into your agent
This one installs as part of its plugin. Adding the marketplace and installing the plugin brings it with everything else the plugin ships.
/plugin marketplace add robzilla1738/roberts-skills/plugin install macos-sandboxWrote 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/robzilla1738/roberts-skills/macos-sandbox)<a href="https://agentmods.dev/skills/robzilla1738/roberts-skills/macos-sandbox"><img src="https://agentmods.dev/badge/skills/robzilla1738/roberts-skills/macos-sandbox/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/robzilla1738/roberts-skills/macos-sandbox"><img src="https://agentmods.dev/badge/skills/robzilla1738/roberts-skills/macos-sandbox.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 | $0.00061 | $0.01134 |
| Opus 5 | $0.00030 | $0.00567 |
| Sonnet 5 | $0.00012 | $0.00227 |
| Haiku 4.5 | $0.00006 | $0.00113 |
Grade A, and why
macos-sandbox 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 10d 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 — 159 lines — stays where its author put it; the contents beside it link to each section on GitHub.
macOS Sandbox Testing with macbox
Use macbox when you need to validate a macOS app build in a clean local VM without touching the host.
When to use
- Smoke-test a freshly built
.appor.pkg - Capture launch screenshots, system logs, and crash reports
- Reproduce startup failures in an isolated macOS guest
- Reset or destroy a sandbox after testing
When not to use
- Do not use macbox for cloud deployment or CI farm orchestration
- Do not upload secrets, credentials, SSH keys, or browser profiles
- Do not expect macbox to bypass Gatekeeper, Keychain, or other security prompts
Prerequisites
- Host has Tart installed and a prepared base image (for example
macos-sequoia-clean) - SSH key auth works:
~/.ssh/macbox_idinstalled in guestadminaccount - MCP server configured locally (stdio only) or CLI available as
macbox
Safe workflow
1. Check readiness
macbox doctor --json
macbox status --json
Confirm doctor reports Tart, ssh/scp, SSH identity, and the state directory as OK.
2. Create sandbox
Via MCP: create_sandbox(image="macos-sequoia-clean", headless=True)
Via CLI:
macbox start --image macos-sequoia-clean --name macbox-test-001 --headless --json
Save the returned vm name and run_id.
3. Upload build artifact
Upload only .app or .pkg files from explicit local paths.
Via MCP: upload_app(vm_name="macbox-test-001", app_path="/path/to/MyApp.app")
Via CLI:
macbox upload --name macbox-test-001 --path ./dist/MyApp.app --dest /Users/admin/Desktop/MyApp.app --json
4. Run smoke test
Via MCP: run_app_smoke_test(vm_name="macbox-test-001", app_name="MyApp.app", timeout_seconds=120)
Via CLI:
macbox run-app --name macbox-test-001 --app /Users/admin/Desktop/MyApp.app --timeout 120 --json
Inspect JSON data:
launchedcrashedscreenshotlogscrash_reports
5. Collect additional evidence if needed
macbox logs --name macbox-test-001 --last 5m --json
macbox screenshot --name macbox-test-001 --json
macbox collect-crashes --name macbox-test-001 --json
What ships with it
1 file beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
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.
- 10d ago First seen · 159 lines · 61 tokens per session scan A 814843e57b32
macos-sandbox is a skill published in the GitHub repository robzilla1738/roberts-skills (5 stars, last pushed 3mo ago), licensed MIT. It adds 61 tokens to every session and 1,134 once invoked, about $0.0003 per session on Opus 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.
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