Getting it into your agent
There is no command for this one: it runs only inside a plugin, and the catalogue could not identify which plugin ships it. The source is linked below.
Wrote 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/digitalocean-labs/do-app-platform-skills/sandbox)<a href="https://agentmods.dev/skills/digitalocean-labs/do-app-platform-skills/sandbox"><img src="https://agentmods.dev/badge/skills/digitalocean-labs/do-app-platform-skills/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/digitalocean-labs/do-app-platform-skills/sandbox"><img src="https://agentmods.dev/badge/skills/digitalocean-labs/do-app-platform-skills/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 | $0.00049 | $0.01877 |
| Opus 5 | $0.00024 | $0.00938 |
| Sonnet 5 | $0.00010 | $0.00375 |
| Haiku 4.5 | $0.00005 | $0.00188 |
Grade A, and why
app-platform-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 — 240 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Sandbox Skill
Isolated execution environments for AI agents and testing workflows.
Philosophy
Lambda/Functions: Fast cold start, 15-min limit, stateless, per-ms billing
App Platform Sandbox: 30s cold start (or instant with pool), unlimited duration, stateful, per-hour billing
Sweet spot: Long-running, stateful, iterative workflows where agents need to
install packages, run code, check results, modify, repeat.
Quick Decision
┌─────────────────────────────────────────────────────────────┐
│ Need isolated execution environment? │
└─────────────────────────────────────────────────────────────┘
│
Is this for debugging an EXISTING app?
│
┌───────────────┴───────────────┐
│ │
YES NO
│ │
▼ ▼
┌─────────────────┐ ┌─────────────────┐
│ troubleshooting │ │ Need real-time │
│ skill │ │ streaming or │
│ │ │ port exposure? │
│ Sandbox.get_ │ │ │
│ from_id() │ └────────┬────────┘
└─────────────────┘ │
┌───────────────┴───────────────┐
│ │
YES NO
│ │
▼ ▼
┌─────────────────┐ ┌─────────────────┐
│ SERVICE MODE │ │ Is low latency │
│ exec_stream() │ │ critical? │
│ expose_port() │ │ │
└─────────────────┘ └────────┬────────┘
│
┌───────────────┴───────────────┐
│ │
YES NO
│ │
▼ ▼
┌─────────────────┐ ┌─────────────────┐
│ HOT POOL │ │ COLD SANDBOX │
│ SandboxManager │ │ Sandbox.create()│
│ ~50ms acquire │ │ ~30s startup │
└─────────────────┘ └─────────────────┘
What ships with it
6 files 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 · 240 lines · 49 tokens per session scan A 107d711a7d25
app-platform-sandbox is a skill published in the GitHub repository digitalocean-labs/do-app-platform-skills (36 stars, last pushed 3d ago), licensed MIT. It adds 49 tokens to every session and 1,877 once invoked, about $0.0002 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 2026-08-30.
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