Agent Sandbox is a Kubernetes extension for managing isolated, stateful workloads that run as single long-lived containers with stable identities and persistent storage. It is intended for AI agent runtimes, reinforcement-learning workloads, and other applications that do not fit ordinary stateless deployments. Its catalogue skills and instructions support operating these sandbox workloads.
Borrowing it
Nothing to install: this file belongs to kubernetes-sigs/agent-sandbox. 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/kubernetes-sigs/agent-sandbox/main/.github/copilot-instructions.mdgit clone --depth 1 https://github.com/kubernetes-sigs/agent-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/instructions/kubernetes-sigs/agent-sandbox/copilot-instructions)<a href="https://agentmods.dev/instructions/kubernetes-sigs/agent-sandbox/copilot-instructions"><img src="https://agentmods.dev/badge/instructions/kubernetes-sigs/agent-sandbox/copilot-instructions/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/kubernetes-sigs/agent-sandbox/copilot-instructions"><img src="https://agentmods.dev/badge/instructions/kubernetes-sigs/agent-sandbox/copilot-instructions.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 | $0.00293 | $0.00293 |
| Opus 5.5 | $0.00117 | $0.00117 |
| Sonnet 5.5 | $0.00059 | $0.00059 |
| Haiku 4.5 | $0.00029 | $0.00029 |
Grade A, and why
agent-sandbox copilot-instructions.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.
What it actually says
AI Code Review Guidelines
Project Context & Architecture: Refer to AGENTS.md for full project background, module layout, toolchain versions, and core conventions.
Scope of Review: Focus strictly on substantive findings tied to lines the PR actually modifies — logic bugs, concurrency issues, security vulnerabilities, controller-runtime misuse, API contract breaks, and missing tests for new behavior.
- Do NOT flag style issues in pre-existing code that the PR touches mechanically.
- When in doubt between flagging a marginal nit and staying silent: stay silent. Do not introduce review fatigue.
Toolchain & Lint Policy:
- Defer to the
godirective ingo.modat the base branch head as the authoritative target. Do not suggest lowering the Go version or adding compatibility shims for older toolchains. - The binding style and correctness gate is the repo's lint configuration (
make lint-go,make lint-api). If existing linters and tests pass without flagging a line, treat residual style as author preference.
CLA Safety Reminder: When offering code suggestions, always remind contributors not to click "Commit suggestion" in the GitHub UI (which adds the AI bot as co-author and breaks the CNCF/Kubernetes CLA check), and to apply the change locally instead.
Tone: Succinct, constructive, and direct. Explain technical rationale clearly without conversational filler.
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 First seen · 21 lines · 293 tokens per session scan A e95aaeb5da51
agent-sandbox copilot-instructions.md is an instructions file published in the GitHub repository kubernetes-sigs/agent-sandbox (4,346 stars, last pushed today), licensed Apache-2.0. It adds 293 tokens to every session, about $0.0012 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.
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