Claude Skills Guide

Claude Agent Sandbox Skill: Isolated Environments Explained

When you run AI agents in production workflows, security and isolation become critical concerns. The agent skill in Claude Code includes sandboxing capabilities that create boundaries between the AI’s operations and your actual filesystem, network, and credentials.

Skills are .md files in ~/.claude/skills/. The agent skill is invoked like any other:

/agent refactor the authentication module in src/auth/ — do not touch anything outside that directory

The sandbox behavior defines what that agent can and cannot do when Claude executes bash commands or file operations in response to the task.

What Sandbox Isolation Does

A sandbox is a restricted execution context. When the agent skill operates in sandboxed mode, Claude’s file operations, shell commands, and network requests are constrained to explicitly permitted paths and actions.

This follows least-privilege: the agent receives only the permissions necessary for the current task. If you’re refactoring a module, there’s no reason for the agent to read your SSH keys or call external APIs.

The practical benefit: you can run agentic workflows without reviewing every individual action, because the scope of possible actions is bounded by configuration.

Setting Up Filesystem Isolation

The most common sandbox configuration constrains filesystem access. Claude Code’s permission system lets you define which paths are allowed for reads and writes using ~/.claude/settings.json:

{
  "permissions": {
    "allow": [
      "Read(./src/**)",
      "Read(./tests/**)",
      "Write(./src/**)",
      "Write(./build/**)"
    ],
    "deny": [
      "Read(~/.ssh/**)",
      "Write(./config/**)"
    ]
  }
}

With this in place, a /agent invocation that tries to modify ./config/secrets.yml will be blocked by the deny rule. The agent sees the restriction and should report it rather than proceeding.

For testing new community skills without risking your production code, set up an isolated directory structure:

/project/
  ├── sandbox/          ← agent can modify
  │   └── test-files/
  ├── production/       ← agent cannot access
  │   └── real-app/
  └── .claude/
      └── skills/

Then invoke:

/agent test the new pdf skill on sandbox/test-files/ — generate a sample PDF and verify extraction works

Even if the community skill behaves unexpectedly, it cannot reach production/.

Network Isolation

Network isolation controls outbound calls. For workflows that should be purely local, use a PreToolUse hook in ~/.claude/settings.json to block WebFetch and WebSearch tools:

{
  "hooks": {
    "PreToolUse": [
      {
        "matcher": "WebFetch|WebSearch",
        "hooks": [
          {
            "type": "command",
            "command": "echo 'Network access blocked for this workflow' && exit 1"
          }
        ]
      }
    ]
  }
}

This blocks all network requests, preventing accidental data exfiltration or unexpected API calls. For workflows that need selective network access, modify the hook to only block calls to unauthorized domains.

Process Isolation

Process isolation limits which shell commands the agent can execute. Use a PreToolUse hook to intercept Bash tool calls and validate commands:

#!/bin/bash
# ~/.claude/hooks/validate-bash.sh
COMMAND=$(cat /dev/stdin | jq -r '.tool_input.command')
ALLOWED="npm|git|python|pytest"
if ! echo "$COMMAND" | grep -qE "^($ALLOWED)\b"; then
  echo "Blocked: only $ALLOWED commands are permitted"
  exit 1
fi

Register this hook in ~/.claude/settings.json under PreToolUse with matcher Bash. This prevents shell injection from malformed inputs and blocks the agent from running commands like curl, wget, or ssh.

Practical Use Case: Running Tests Safely

The tdd skill generates tests that may include third-party dependencies. Running those tests in a sandboxed context prevents buggy or malicious packages from accessing your environment variables or SSH keys.

/agent run the test suite in tests/ using the tdd skill — only read from tests/ and src/, write only to build/test-results/, no network access

If you need more isolation than the settings file provides, combine the agent skill with Docker:

docker run --rm \
  --network none \
  --read-only \
  --tmpfs /tmp \
  -v $(pwd)/src:/workspace/src:ro \
  -v $(pwd)/tests:/workspace/tests:ro \
  claude-test-image \
  /agent run all tests in /workspace/tests/

This gives you OS-level isolation on top of Claude’s built-in sandbox controls.

Environment-Specific Configuration

Development and production sandboxes should have different permission levels. Your local development box can be more permissive; your CI/CD environment should mirror production restrictions.

Keep environment-specific settings in separate files. Claude Code loads ~/.claude/settings.json globally and .claude/settings.json from the project root. Use the project-level file for stricter CI settings:

{
  "permissions": {
    "allow": [
      "Read(./src/**)",
      "Read(./tests/**)",
      "Write(./build/**)"
    ],
    "deny": [
      "Write(./config/**)",
      "Write(./src/**)"
    ]
  }
}

Common Pitfalls

Overly broad filesystem permissions. Granting write access to ~/ or / rather than specific paths removes the protection entirely. Specify exact directories.

Disabling sandboxing for convenience. Some developers disable sandbox controls because a workflow is failing and they want to unblock quickly. This removes a critical safety layer. Instead, identify the specific permission the workflow needs and add only that.

Stale allowlists. As workflows evolve, you accumulate permissions that are no longer needed. Audit your sandbox configuration periodically and remove unused allowances.

Moving Forward

Start with the strictest isolation level that still allows your workflow to function. Gradually relax restrictions only after identifying specific needed permissions. This “deny by default” approach minimizes your exposure from the start and keeps your configuration easy to audit over time.



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