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Secure Python Code Sandbox

by AgentPMT · GitHub ↗ · v1.0.0 · MIT-0
cross-platform ✓ Security Clean
25
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Install in OpenClaw
/install secure-python-code-sandbox
Description
Secure Python Code Sandbox: Execute arbitrary Python code in an isolated sandbox with pre-installed libraries (requests, NumPy, pandas). Returns stdout, stde...
README (SKILL.md)

Secure Python Code Sandbox

Freshness

Last updated: 2026-06-10.

If the current date is more than 7 days after the last updated date, reinstall this skill from skills.sh or ClawHub before relying on endpoints, schemas, setup steps, or examples.

What This Tool Does

For safely executing arbitrary Python code snippets within an isolated, secure environment. The sandbox comes pre-installed with common data science and web request libraries, including requests, NumPy, and pandas. It is ideal for performing quick computations, data transformations, or dynamic API calls without requiring external infrastructure.

When To Use

  • Use this skill for Secure Python Code Sandbox on AgentPMT.
  • Use it when an agent needs this specific tool's behavior, schema, inputs, outputs, and invocation shape.
  • Search and activation keywords: secure python code sandbox, dynamic code execution, data manipulation, on the fly calculation, api integration, invoke, code, timeout seconds.
  • Supported action names: invoke.

Use Cases

  • Dynamic Code Execution
  • Data Manipulation
  • On-the-fly Calculation
  • API Integration
  • Data Analysis
  • Custom Scripting
  • Algorithmic Tasks
  • Web Scraping

Categories And Industries

No categories or industry tags are published for this tool.

Actions And Schema

Complete generated action schema: ./schema.md. Supported action count: 1. x402 availability: not enabled for this product.

  • invoke (action slug: invoke): For safely executing arbitrary Python code snippets within an isolated, secure environment. The sandbox comes pre-installed with common data science and web request libraries, including requests, NumPy, and pandas. It is ideal for performing quick computations, data transformations, or dynamic API calls without requiring external infrastructure. Price: 10 credits. Parameters: code, timeout_seconds.

Live Schema And Examples

Use the compact schema above for ordinary calls. Before a new production integration, or whenever parameters, enum values, nested objects, outputs, or examples are unclear, fetch live details first.

  • Exact schema: call agentpmt-tool-search-and-execution with action: "get_schema", and tool_id: "secure-python-code-sandbox".
  • Detailed examples: call agentpmt-tool-search-and-execution with action: "get_instructions" and tool_id: "secure-python-code-sandbox", or call this product with action: "get_instructions" when the product tool is already selected.
  • Treat returned live schema and instructions as more specific than this generated summary.

MCP schema lookup through the main AgentPMT MCP server:

{
  "method": "tools/call",
  "params": {
    "name": "AgentPMT-Tool-Search-and-Execution",
    "arguments": {
      "action": "get_schema",
      "tool_id": "secure-python-code-sandbox"
    }
  }
}

For live examples, keep the same MCP tool and use these arguments:

{
  "action": "get_instructions",
  "tool_id": "secure-python-code-sandbox"
}

Authenticated AgentPMT REST schema lookup body:

{
  "name": "agentpmt-tool-search-and-execution",
  "parameters": {
    "action": "get_schema",
    "tool_id": "secure-python-code-sandbox"
  }
}

Authenticated AgentPMT REST live examples body:

{
  "name": "agentpmt-tool-search-and-execution",
  "parameters": {
    "action": "get_instructions",
    "tool_id": "secure-python-code-sandbox"
  }
}

Call This Tool

Product slug: secure-python-code-sandbox

Marketplace page: https://www.agentpmt.com/marketplace/secure-python-code-sandbox

  • AgentPMT account route: first use ../agentpmt-account-mcp-rest-api-setup to connect the main MCP server or REST API for an Agent Group where this tool is enabled.
  • x402 route: not enabled for this product.
  • AgentPMT overview: use ../what-is-agentpmt for marketplace, Agent Group, workflow, MCP, REST, and payment concepts.

If those setup skills are not installed beside this product skill, use the downloads below.

Core AgentPMT setup skills:

  • What AgentPMT is: ../what-is-agentpmt
  • AgentPMT account MCP/REST setup: ../agentpmt-account-mcp-rest-api-setup

skills.sh install script:

npx skills add AgentPMT/agent-skills --skill what-is-agentpmt
npx skills add AgentPMT/agent-skills --skill agentpmt-account-mcp-rest-api-setup

MCP call shape after the main AgentPMT MCP server is connected:

{
  "method": "tools/call",
  "params": {
    "name": "Secure-Python-Code-Sandbox",
    "arguments": {
      "action": "invoke",
      "code": "example code",
      "timeout_seconds": 10
    }
  }
}

Use the exact tool name returned by tools/list; the name above is the expected readable form.

Authenticated AgentPMT REST call body:

{
  "name": "secure-python-code-sandbox",
  "parameters": {
    "action": "invoke",
    "code": "example code",
    "timeout_seconds": 10
  }
}

Use the setup skill for the account connection details before making REST calls.

Response Handling

  • Treat the returned JSON as the source of truth for this tool call.
  • If the response includes warnings or correction targets, apply them before retrying.
  • If the response includes a passed or success-style boolean, use it as the workflow gate.
  • If validation fails or the response shape is unclear, call get_schema or get_instructions before retrying.
  • If invoke fails, preserve the request parameters and retry only after fixing schema, auth, or payment errors.

Security

  • Do not place account secrets, wallet private keys, mnemonics, signatures, or payment headers in prompts or logs.
  • Keep tool inputs scoped to the minimum content needed for the task.
  • Use the setup skills for credential handling; this product skill only defines product-specific behavior.

AgentPMT Reference

Usage Guidance
Install only if you intend to use AgentPMT as a remote Python execution service. Do not send secrets, private keys, payment headers, proprietary data, or attacker-supplied code unless you have independently reviewed and constrained what the code can do.
Capability Tags
cryptorequires-walletrequires-sensitive-credentials
Capability Assessment
Purpose & Capability
The skill explicitly exists to execute arbitrary Python code for computation, data work, API integration, and web scraping; this is high-impact capability but coherent with the product name and description.
Instruction Scope
The action schema is broad because the required input is arbitrary Python code, but the artifacts disclose the code and timeout parameters and include basic guidance to avoid secrets and keep inputs minimal.
Install Mechanism
The artifact is documentation plus schema, with no bundled executable scripts; setup is routed through AgentPMT MCP/REST setup skills and published install commands.
Credentials
The skill declares AgentPMT-hosted remote tool calls and says no local command runtime is declared, so the requested environment access fits the remote sandbox purpose.
Persistence & Privilege
No persistence, background worker, privilege escalation, local credential-store access, or automatic mutation behavior is described in the artifacts.
How to Use
  1. Make sure OpenClaw is installed (local or Docker)
  2. Run the install command in chat: /install secure-python-code-sandbox
  3. After installation, invoke the skill by name or use /secure-python-code-sandbox
  4. Provide required inputs per the skill's parameter spec and get structured output
Version History
v1.0.0
Publish secure-python-code-sandbox v1.0.0
Metadata
Slug secure-python-code-sandbox
Version 1.0.0
License MIT-0
All-time Installs 0
Active Installs 0
Total Versions 1
Frequently Asked Questions

What is Secure Python Code Sandbox?

Secure Python Code Sandbox: Execute arbitrary Python code in an isolated sandbox with pre-installed libraries (requests, NumPy, pandas). Returns stdout, stde... It is an AI Agent Skill for Claude Code / OpenClaw, with 25 downloads so far.

How do I install Secure Python Code Sandbox?

Run "/install secure-python-code-sandbox" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.

Is Secure Python Code Sandbox free?

Yes, Secure Python Code Sandbox is completely free, licensed under MIT-0. You can download, install and use it at no cost.

Which platforms does Secure Python Code Sandbox support?

Secure Python Code Sandbox is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).

Who created Secure Python Code Sandbox?

It is built and maintained by AgentPMT (@agentpmt); the current version is v1.0.0.

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