sota-api-design
State-of-the-art API design and audit guidance (2026) covering REST/HTTP, GraphQL, gRPC, WebSockets/SSE/realtime, webhooks,…
State-of-the-art sandboxing and isolation engineering (2026). Use when designing isolation for untrusted code, untrusted input parsing, multi-tenant workloads, or AI/agent execution — and when auditing existing systems for isolation gaps. Covers least privilege, defense in
Claude Code
$ npx -y skills add martinholovsky/SOTA-skills --skill sota-sandboxing --agent claude-code
Codex
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Cursor
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Gemini CLI
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GitHub Copilot
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OpenCode
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Windsurf
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name: sota-sandboxing description: State-of-the-art sandboxing and isolation engineering (2026). Use when designing isolation for untrusted code, untrusted input parsing, multi-tenant workloads, or AI/agent execution — and when auditing existing systems for isolation gaps. Covers least privilege, defense in depth, isolation boundary selection (VM/microVM/gVisor/container/process/WASM), Linux primitives (namespaces, cgroups v2, seccomp-bpf, Landlock, AppArmor/SELinux, capabilities), Docker/OCI and Kubernetes hardening, privilege separation and broker patterns, subprocess hygiene, and agent tool/egress scoping. Trigger keywords — sandboxing, sandbox, isolation, least privilege, container hardening, container escape, seccomp, Landlock, namespaces, gVisor, Kata, Firecracker, microVM, pod security, untrusted code, untrusted input processing, risky parser, privilege separation, WASM sandbox, V8 isolate, agent code execution, egress allowlist, multi-tenant isolation.
Engineer and audit isolation boundaries so that compromise of a workload — untrusted code, a parser fed attacker bytes, a tenant, or an AI agent — is contained by design. The skill encodes 2026 state of the art: allowlist-first least privilege, boundary strength matched to threat class, kernel primitives composed correctly, hardened container/microVM deployment, application-level privilege separation, and agent-specific containment (lethal trifecta, egress control, ephemeral execution).
Two modes. Pick one explicitly at the start of the task.
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Use when designing or implementing isolation for new or changed workloads.
1. **Classify the threat** before any mechanism talk: untrusted CODE, untrusted INPUT, or MULTI-TENANT ([`rules/01`](rules/01-isolation-boundaries.md) §3). State the classification in your output. 2. **Pick the boundary floor** from the decision table in [`rules/01`](rules/01-isolation-boundaries.md); never go below it silently. If constraints force a weaker boundary, write the risk acceptance into the design. 3. **Enumerate needs first** — files, syscalls, network destinations, CPU/memory/ wall-clock, credentials. The sandbox config is the needs-list, inverted: everything else denied. 4. **Compose layers from the rules files**: kernel primitives ([`rules/02`](rules/02-linux-os-hardening.md)), container/orchestrator hardening ([`rules/03`](rules/03-containers-microvms.md)), in-app separation ([`rules/04`](rules/04-process-app-sandboxing.md)), agent-specific controls ([`rules/05`](rules/05-ai-agent-sandboxing.md)). Layers must be independent (different failure modes), each failing closed. 5. **Make it ephemeral and observable**: one sandbox per trust unit, destroyed after; action/egress logs outside the boundary; runtime detection where the platform supports it. 6. **Verify from inside**: ship a probe (attempt secret reads, metadata access, denied syscalls, egress) and run it in CI. A sandbox is config until tested.
Deliverables: threat classification, boundary choice + rationale, concrete configs (seccomp JSON, securityContext, run flags, broker interface), the inside-the-sandbox verification probe, and the residual-risk list.
**Coverage:** every `rules/` file's Audit checklist applies in AUDIT mode. Mark one *not applicable* only with its reason in the report — never skip a file because the thing it checks for is absent, since that absence may be the finding.
Use when reviewing existing code/infra for isolation gaps.
Procedure: inventory workloads touching untrusted code/input/tenants → classify each → compare actual boundary vs the floor ([`rules/01`](rules/01-isolation-boundaries.md) §3) → walk the relevant rules-file audit checklists → verify empirically where possible (inspect running specs, exec probes, grep for `shell=True`/`--privileged`/`docker.sock`/ `automountServiceAccountToken`).
**Severity conventions**
effective boundary, or a boundary trivially bypassed by present config (`--privileged`, docker.sock mounted, secrets/metadata reachable from inside, language-jail-only sandbox, agent with full lethal trifecta and no gating).
or fail-open (no seccomp on untrusted code, root user + writable rootfs, flat network with no policies, shared sandbox across tenants).
(default seccomp where custom is warranted, missing pids/memory limits, broad RBAC, no runtime detection, missing `--` in argv).
`RLIMIT_CORE=0`, audit-only PSA labels, log gaps).
**Finding format**
[SEV] <one-line title> Where: <file:line | resource | runtime evidence> Threat class: <untrusted code | untrusted input | multi-tenant | agent> Gap: <which rule (file §rule) is violated and how> Impact: <what the attacker holds when this is exploited> Fix: <concrete change — config snippet or pattern reference>
Report findings ordered by severity; end with the boundary-vs-floor table for every workload audited.
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| File | Read this when... | |---|---| | [`rules/01-isolation-boundaries.md`](rules/01-isolation-boundaries.md) | choosing or judging the isolation boundary itself: threat classification (untrusted code vs input vs multi-tenant), boundary strength ranking (hardware > VM > microVM > gVisor > container > process > runtime), defense-in-depth layering, verifying a boundary with a probe, fail-closed, ephemerality, anti-patterns, model inference runtimes and native-object deserialization as named workloads. Read first in every engagement. | | [`rules/02-linux-os-hardening.md`](rules/02-linux-os-hardening.md) | building or auditing anything on a Linux kernel: namespaces (incl. userns d
Make your AI coding assistant build and audit like your most senior engineer. Your assistant is brilliant — it just doesn't know your standards, and it forgets the ones it does know as the task grows long.
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