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Official Verified developer tools Safety 4/5

sandwrap

Run untrusted skills safely with soft-sandbox protection. Wraps skills in multi-layer prompt-based defense (~85% attack prevention). Use when: (1) Running third-party skills from unknown sources, (2) Processing untrusted content that might contain prompt injection, (3) Analyzing suspicious files or URLs safely, (4) Testing new skills before trusting them. Supports manual mode ('run X in sandwrap') and auto-wrap for risky skills.

Why use this skill?

Secure your OpenClaw agent with Sandwrap. Use multi-layer, prompt-based defense to safely execute untrusted skills and prevent prompt injection attacks.

skill-install — Terminal

Install via CLI (Recommended)

clawhub install openclaw/skills/skills/rubenaquispe/sandwrap
Or

What This Skill Does

Sandwrap is a specialized security layer designed for OpenClaw AI that provides soft-sandbox protection for running untrusted third-party skills. It does not utilize virtual machines or system-level isolation but instead employs a multi-layered, prompt-based defense mechanism to mitigate approximately 85% of common prompt injection and malicious intent attacks. By wrapping target skills in a strictly defined instruction hierarchy, it forces external content to adhere to your predefined security parameters.

Installation

To install this skill, run the following command in your terminal: clawhub install openclaw/skills/skills/rubenaquispe/sandwrap

Use Cases

Sandwrap is essential for users who frequently integrate third-party community skills into their workflow. It is highly recommended for:

  • Analyzing suspicious URLs or files where you suspect malicious payload intent.
  • Testing newly installed skills from unknown sources before granting them full system permissions.
  • Processing unstructured data from untrusted sources (like user-submitted web forms or external APIs) that could contain prompt injection vulnerabilities.
  • Enforcing strict access control by using presets like 'read-only' to browse sensitive codebases without risking accidental data modification.

Example Prompts

  1. "Run github-repo-summarizer in sandwrap read-only"
  2. "Analyze this suspicious email link using sandwrap web-only"
  3. "Run code-converter-v2 in sandwrap audit preset"

Tips & Limitations

  • Understand the Soft-Sandbox Nature: Sandwrap is not an airtight VM or container. It is a prompt-level safety filter. Therefore, do not process high-stakes, hyper-sensitive credentials through sandwrapped skills.
  • Preset Selection: Always choose the most restrictive preset that satisfies your workflow needs. Default to 'read-only' whenever possible to minimize the attack surface.
  • Pay Attention to Approvals: Layer 4 requires manual human approval for sensitive actions. If you see an injection warning, abort immediately rather than bypassing.
  • Limitations: While Sandwrap provides a significant security boost (~85%), sophisticated, adaptive, or novel attack vectors may still bypass these protections. For absolute deterministic security, use a dedicated physical or virtualized sandbox environment instead.

Metadata

Stars1133
Views0
Updated2026-02-18
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Add to Configuration

Paste this into your clawhub.json to enable this plugin.

{
  "plugins": {
    "official-rubenaquispe-sandwrap": {
      "enabled": true,
      "auto_update": true
    }
  }
}

Tags(AI)

#security#sandbox#prompt-injection#protection#ai-safety
Safety Score: 4/5

Flags: file-write, file-read, code-execution