Alicloud Acs Agent Sandbox logo

Alicloud Acs Agent Sandbox

Community
cinience
alicloud-acs-agent-sandbox

Bootstrap, create, connect to, operate, secure, scale, upgrade, troubleshoot, inspect, and tear down Alibaba Cloud Container Compute Service (ACS) Agent Sandbox environments. Use for zero-to-Sandbox deployments from VPC and ACS cluster creation, Sandbox, SandboxSet, SandboxClaim, Checkpoint, SandboxUpdateOps, E2B SDK integration, tenant API keys and quotas, OSS or NAS CSI mounts, TrafficPolicy and SecurityProfile controls, SandboxGateway routing, Prometheus monitoring, ACK-based deployments, or ACK One multi-cluster fleet operations.

Overview

Publishercinience
Repositoryalicloud-skills
Skill namealicloud-acs-agent-sandbox
Stars
397
Forks
34
Bundled files
12
LicenseMIT
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • 12 bundled files

    Scripts, templates, and references the model can read while it works. Files are read-only and never executed.

  • Open source

    Published by cinience on GitHub. Read the source before you install it.

Installation

Install the Alicloud Acs Agent Sandbox AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
    https://github.com/cinience/alicloud-skills/tree/main/skills/compute/acs/alicloud-acs-agent-sandbox
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/cinience/alicloud-skills.git /tmp/alicloud-skills
mkdir -p .claude/skills
cp -r /tmp/alicloud-skills/skills/compute/acs/alicloud-acs-agent-sandbox .claude/skills/alicloud-acs-agent-sandbox
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Alicloud Acs Agent Sandbox in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Alicloud Acs Agent Sandbox on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Alicloud Acs Agent Sandbox is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

Manage ACS Agent Sandbox

Operate ACS Agent Sandbox through Kubernetes custom resources and the E2B-compatible API. Treat the sandbox workload as untrusted and preserve a reproducible evidence trail under output/alicloud-acs-agent-sandbox/.

Start here

  1. Confirm whether the target is an ACS cluster, an ACK cluster using ACS compute, or an ACK One fleet.
  2. Confirm kubeconfig context, namespace, region, desired image, resource size, network boundary, and requested lifecycle action.
  3. Run the read-only inspection before changing an existing environment:
bash
python3 skills/compute/acs/alicloud-acs-agent-sandbox/scripts/inspect_agent_sandbox.py \
  --output output/alicloud-acs-agent-sandbox/inspection.json
  1. Read the reference that matches the task:
  1. State the planned mutation and its blast radius. Obtain confirmation before delete, destructive replacement, fleet-wide policy, credential-store migration, gateway cutover, or upgrade operations.
  2. Apply the smallest scoped change, wait for the documented terminal condition, rerun inspection, and save sanitized outputs.

Non-negotiable safety rules

  • Never print, log, commit, or place API keys, runtime tokens, JWTs, AccessKeys, DSNs, hashPepper, kubeconfigs, or generated migration SQL in evidence.
  • Do not use kubectl describe pod or dump Deployment/Pod arguments for Sandbox Manager: some addon versions place the admin API key in container arguments. Use the redacting inspector and bounded JSONPath queries; rotate the key immediately if it is exposed.
  • Keep automountServiceAccountToken: false unless the workload explicitly needs Kubernetes API access.
  • Use a dedicated sandbox vSwitch and enterprise security group. Deny metadata service 100.100.100.200/32 and private networks except for explicitly required endpoints.
  • Do not rely on TrafficPolicy alone when a container has root, privileged mode, NET_ADMIN, SYS_ADMIN, CAP_SETUID, or CAP_SETGID; these privileges can bypass in-namespace ACLs.
  • Treat the public code-interpreter:v1.6 and OpenClaw examples as validation images, not production-hardened images.
  • Require HTTPS for E2B production access. Prefer the native protocol with a wildcard domain and certificate; use the private protocol for simplified test integration.
  • Treat China mainland ICP filing as a public-ALB preflight gate. A domain can work briefly before delayed enforcement returns HTTP 403 or resets TLS.
  • Do not assume paused sandboxes can always resume. Capacity shortage and account arrears can prevent wake-up; WebSocket, SSE, and gRPC connections must reconnect.
  • Do not upgrade a claimed sandbox without a data plan. SandboxUpdateOps rebuilds the Pod and does not retain rootfs, memory, or IP.
  • Do not change a live PV authentication mode in place. Relevant volumeAttributes are immutable; recreating a PV can interrupt OSS access.
  • Enable the csi runtime only on storage-enabled SandboxSets. It injects a privileged container and a /var/run/csi hostPath, which changes the isolation boundary.
  • Keep NAS mount targets in the Sandbox VPC, use NFSv3, and never delete a NAS mount target while a Sandbox still has it mounted.
  • Quota enforcement fails open when Redis is unavailable. Alert on this condition and do not describe quota as a hard security boundary during Redis failure.

Core creation path

For an empty-account deployment, use $aliyun-vpc-manage and $alicloud-acs-cluster as described in bootstrap-and-teardown.md. Then use this sequence for the Agent Sandbox layer:

  1. Enable Agent Sandbox for the cluster and verify component prerequisites from creation-lifecycle.md. Confirm managed-coredns is active before creating any component or Sandbox that needs cluster service discovery.
  2. Enable RRSA before Agent Identity, then install a supported Ingress Controller, ack-agent-identity when required, ack-agent-sandbox-controller, and ack-sandbox-manager. Grant AliyunCSManagedAgentSandboxRole only through the documented authorization flow.
  3. Configure the manager domain, admin API key, TLS, and the Ingress listener. Keep the admin key in a secret manager or protected component configuration.
  4. Create a SandboxSet warm pool with explicit requests and limits, ACS labels, automountServiceAccountToken: false, and only required runtimes.
  5. Wait until status.availableReplicas == spec.replicas.
  6. Allocate with E2B Sandbox.create() or a SandboxClaim. Prefer claims for declarative Kubernetes workflows.
  7. Verify Sandbox status.phase=Running, Ready=True, the claimed label, runtime API operations, and network policy behavior.
  8. Set an explicit timeout, pause policy, or shutdown time. Never leave temporary sandboxes without a lifecycle owner.

Minimal warm-pool shape:

yaml
apiVersion: agents.kruise.io/v1alpha1
kind: SandboxSet
metadata:
  name: code-interpreter
  namespace: default
spec:
  replicas: 4
  runtimes:
    - name: agent-runtime
  template:
    metadata:
      labels:
        alibabacloud.com/acs: "true"
        alibabacloud.com/compute-class: agent-sandbox
        alibabacloud.com/compute-qos: default
    spec:
      automountServiceAccountToken: false
      containers:
        - name: sandbox
          image: <REGION-LOCAL-HARDENED-IMAGE>
          resources:
            requests: {cpu: "1", memory: 1Gi, ephemeral-storage: 30Gi}
            limits: {cpu: "1", memory: 1Gi}
      terminationGracePeriodSeconds: 30

E2B client path

The official ACS documentation currently requires E2B Python SDK versions below 2.25.0; its validated example pins e2b-code-interpreter==2.7.0 and e2b==2.24.0. Recheck the official page before changing these versions.

bash
python3 -m venv .venv
. .venv/bin/activate
python -m pip install "e2b-code-interpreter==2.7.0" "e2b==2.24.0"

Set E2B_DOMAIN and E2B_API_KEY outside source code. Exercise run_code, files.write/read, and commands.run, then explicitly pause or kill the test sandbox.

For private acceptance, port-forward service/sandbox-manager on port 7788, install the OpenKruise customized E2B patch package, set E2B_DOMAIN=localhost:7788, and pass --private-protocol. This uses HTTP only on the local tunnel and is not a production ingress design.

Run the bundled smoke test for a repeatable acceptance and guaranteed cleanup attempt:

bash
python3 skills/compute/acs/alicloud-acs-agent-sandbox/scripts/e2b_smoke_test.py \
  --template code-interpreter \
  --output output/alicloud-acs-agent-sandbox/e2b-smoke.json

For an existing OSS or NAS PV, enable the csi runtime on the target SandboxSet and pass the mount as E2B metadata:

bash
python3 skills/compute/acs/alicloud-acs-agent-sandbox/scripts/e2b_smoke_test.py \
  --template code-interpreter \
  --storage-type nas \
  --storage-pv pv-nas-sandbox \
  --storage-mount-path /mnt/shared \
  --output output/alicloud-acs-agent-sandbox/e2b-nas-smoke.json

For OSS Agent Identity, also pass --credential-provider and --agent-name. See storage-mounts.md; the script never accepts or records AccessKeys.

Inspection workflow

Run inspection before and after a change. For manual follow-up, use bounded queries:

bash
kubectl get sandbox,sandboxset,sandboxclaim,checkpoint,sandboxupdateops -A
kubectl get pods -n sandbox-system -o wide
kubectl get events -A --field-selector type=Warning --sort-by=.lastTimestamp
kubectl get trafficpolicy -A
kubectl get globaltrafficpolicy
kubectl get securityprofile -A
kubectl get globalsecurityprofile

Classify findings as:

  • Critical: credential exposure, metadata/private-network access without justification, missing isolation, destructive operation in progress without backup, or an admin path exposed without authentication.
  • High: component not ready, failed lifecycle operation, unavailable warm pool, quota Redis fail-open, gateway errors, or repeated reconciliation failures.
  • Medium: version prerequisite not met, missing monitoring, insufficient vSwitch/security-group capacity, or policy gaps.
  • Info: capacity, phase distribution, claim utilization, configured policies, and current topology.

Output And Evidence

Save the inspection JSON, redacted manifests, command transcript, and final verification beneath output/alicloud-acs-agent-sandbox/<operation>/. A task is complete only when:

  • the requested resource reaches its documented terminal state;
  • readiness, lifecycle, network, storage, and authentication checks relevant to the task pass;
  • secrets are absent from evidence;
  • rollback or cleanup ownership is explicit;
  • the final report lists resource names, namespaces, observed versions, changes, risks, and evidence paths.

Validation

bash
python3 -m py_compile skills/compute/acs/alicloud-acs-agent-sandbox/scripts/inspect_agent_sandbox.py
python3 -m py_compile skills/compute/acs/alicloud-acs-agent-sandbox/scripts/e2b_smoke_test.py
python3 skills/compute/acs/alicloud-acs-agent-sandbox/scripts/inspect_agent_sandbox.py --help
python3 skills/compute/acs/alicloud-acs-agent-sandbox/scripts/e2b_smoke_test.py --help
python3 scripts/quick_validate.py skills/compute/acs/alicloud-acs-agent-sandbox

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

Frequently asked questions

What does the Alicloud Acs Agent Sandbox AI skill do?

Bootstrap, create, connect to, operate, secure, scale, upgrade, troubleshoot, inspect, and tear down Alibaba Cloud Container Compute Service (ACS) Agent Sandbox environments. Use for zero-to-Sandbox deployments from VPC and ACS cluster creation, Sandbox, SandboxSet, SandboxClaim, Checkpoint, SandboxUpdateOps, E2B SDK integration, tenant API keys and quotas, OSS or NAS CSI mounts, TrafficPolicy and SecurityProfile controls, SandboxGateway routing, Prometheus monitoring, ACK-based deployments, or ACK One multi-cluster fleet operations.

Why use Alicloud Acs Agent Sandbox on TypingMind?

Because you install it once and use it with any model. Alicloud Acs Agent Sandbox is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Alicloud Acs Agent Sandbox in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/cinience/alicloud-skills/tree/main/skills/compute/acs/alicloud-acs-agent-sandbox. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Which AI models can use Alicloud Acs Agent Sandbox?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Alicloud Acs Agent Sandbox?

As many as you like. As long as a model supports skills, you can use Alicloud Acs Agent Sandbox with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Alicloud Acs Agent Sandbox AI skill free?

Yes. It is published on GitHub by cinience under the MIT license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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