Docker Sandbox Tool Pro provides isolated, auditable, and policy-driven Docker environments for enterprise security testing and malware analysis.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install docker-sandbox-tool-pro
2. Manual Installation
Copy the skill folder to one of these locations
~/.openclaw/skills/ <project>/skills/ Priority: Workspace > Local > Bundled
3. Prompt Installation
Copy this prompt to OpenClaw to install it automatically.
Help me install docker-sandbox-tool-pro using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Prefer to download?
Get the raw skill files in a ZIP archive.
What is Docker Sandbox Tool Pro?
Docker Sandbox Tool Pro is a proprietary PRO-grade security sandbox platform for developers, security teams, and automated workflows. It extends a basic Docker sandbox with parallel sandbox management, state snapshots, custom Seccomp, AppArmor, and SELinux policies, complete audit tracking, network capture, malicious behavior detection, and batch sample analysis.
As an Openclaw Skills capability, it combines Markdown-guided workflows with Python, Docker, and optional security tooling to produce structured results, logs, and exportable reports. It is designed for authorized security testing, compliance audits, quality checks, and controlled analysis of suspicious files—not for assessing unauthorized targets.
Docker Sandbox Tool Pro Use Cases
- Analyze suspicious or potentially malicious files inside isolated Docker environments.
- Run behavioral analysis that records system calls, file changes, processes, network connections, and threat indicators.
- Process large sample collections in parallel with configurable concurrency and report formats.
- Create strict isolation policies using Seccomp, AppArmor, SELinux, dropped capabilities, read-only filesystems, and disabled networking.
- Capture sandbox traffic as PCAP files and analyze HTTP, DNS, and TLS activity.
- Create and restore copy-on-write snapshots before high-risk tests or repeatable experiments.
- Maintain audit trails for security investigations, compliance reviews, and operational traceability.
- Support Windows sample analysis through Windows containers or QEMU-based virtualization when the required environment is available.
- Integrate threat intelligence and VirusTotal lookups through optional API keys.
- Automate security workflows for individual developers, enterprise teams, and Openclaw Skills agent environments.
How Docker Sandbox Tool Pro Works
- The agent interprets the requested sandbox operation and validates the supplied
input_paramsandconfig_options. - The workflow selects or creates a sandbox, security policy, analysis template, and resource limits.
- Docker launches the workload with the selected isolation controls, including filesystem, network, capability, syscall, and privilege restrictions.
- The analysis engine observes execution behavior such as processes, file access, system calls, network activity, and registry changes where supported.
- Optional capture and detection components collect PCAP data, match IOCs, perform behavior analysis, and enrich findings with threat intelligence.
- The system can create snapshots before execution and restore them afterward to provide repeatable testing and rollback.
- Single samples or batches are processed with configurable timeouts and parallel workers.
- Results are returned as structured response data containing status information, findings, and logs, with optional PDF, JSON, STIX, XLSX, or PCAP exports.
- Audit records are stored and can be queried by time range, sandbox name, or behavior type, then exported for review.
Docker Sandbox Tool Pro Setup
Requirements
- A compatible SKILL.md agent platform such as Claude Code, Cursor, Codex, or Gemini CLI.
- Linux is recommended, especially Ubuntu 22.04 or later, for complete security feature support.
- Python 3.9 or later.
- Docker 20.0 or later.
- An LLM supplied by the host agent.
Installation
Install the PRO dependencies from the skill directory:
pip install -r requirements_pro.txt
pip install docker
For optional capabilities, install the relevant packages and system tools:
pip install psycopg2-binary
sudo apt-get install tcpdump
sudo apt-get install suricata
Initialize the skill and load its security templates:
python3 <skill-directory-script> init --load-templates
Replace <skill-directory-script> with the executable Python entry point supplied in the skill directory. The source document does not specify a concrete script filename.
Credentials and configuration
Set optional integrations through environment variables rather than hard-coding secrets:
export TI_API_KEY="your-threat-intelligence-key"
export VT_API_KEY="your-virustotal-key"
Unconfigured integrations are skipped automatically. Configure Docker access, network policy, audit storage, retention, and concurrency before processing sensitive samples. Use only authorized samples and targets, and run high-risk analysis on dedicated infrastructure where possible.
Docker Sandbox Tool Pro Data Schema & Taxonomy
Input and configuration fields
| Area | Key fields | Purpose |
|---|---|---|
| Operation input | input_params |
Selects create, query, export, analysis, snapshot, policy, audit, or capture actions. |
| Runtime configuration | config_options |
Supports configuration modification, reset, and import operations. |
| Sandbox settings | max_parallel, default_template, auto_cleanup, cleanup_after |
Controls concurrency, default behavior, and lifecycle cleanup. |
| Template settings | name, network, allowed_hosts, capture_traffic, filesystem, timeout |
Defines reusable analysis and isolation profiles. |
| Security settings | seccomp, apparmor, selinux, no_new_privileges, cap_drop |
Applies kernel, privilege, capability, and syscall restrictions. |
| Audit settings | enabled, log_all_syscalls, log_file_access, log_network, log_process, storage, retention_days |
Controls event collection, storage, and retention. |
| Detection settings | malicious_program_detection, behavior_analysis, ioc_matching, threat_intelligence |
Enables behavior and indicator-based analysis. |
| Batch settings | max_parallel, timeout, output_formats |
Controls bulk processing and export types. |
Generated artifacts
- Analysis reports containing behavior timelines, filesystem changes, process trees, network records, registry changes where supported, and malicious behavior scores.
- Audit logs queryable by timestamp, sandbox name, and behavior type; the documented default retention is 90 days.
- PCAP files for captured traffic, suitable for Wireshark and related tools.
- Export formats including PDF, JSON, STIX, and XLSX summary reports.
- Sandbox snapshots identified by sandbox name and label, supporting creation, restoration, and deletion.
- Structured responses containing status codes, result data, and execution logs.
Metadata taxonomy
The skill organizes activity around sandbox instances, templates, policies, snapshots, samples, audit events, detections, network captures, and exported reports. Common labels include malicious_program_analysis, strict_isolation, and network_test.
Docker Sandbox Tool Pro Advanced Features
- Multi-sandbox parallel execution with configurable limits, including a documented enterprise maximum of 10 concurrent sandboxes.
- Copy-on-write snapshots for deterministic rollback and repeatable security testing.
- Layered container hardening through Seccomp, AppArmor, SELinux, no-new-privileges, dropped capabilities, read-only filesystems, and syscall filtering.
- Custom policy creation and reusable security templates for monitored, restricted, or disabled networking.
- Automated malicious behavior detection using system-call, filesystem, process, and network patterns.
- IOC matching and optional threat-intelligence enrichment through
TI_API_KEYandVT_API_KEY. - Network traffic capture in PCAP format with protocol-level analysis for HTTP, DNS, and TLS.
- Batch analysis with parallel workers, configurable timeouts, and consolidated XLSX or other reports.
- Full audit tracking with database-backed storage, filtering, retention controls, and PDF export.
- Automatic cleanup after a configurable interval to reduce resource consumption and stale sandbox exposure.
- Compatibility with existing free-edition sandbox commands and configurations, enabling an upgrade path without rebuilding environments.
- Structured outputs and error-handling guidance for agent-driven automation across Openclaw Skills workflows.
- Read, execute, and write tool support for inspecting files, running controlled commands, and generating analysis artifacts.
SKILL.md
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