/install secure-python-code-sandbox
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 Sandboxon 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:10credits. 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-executionwithaction: "get_schema", andtool_id: "secure-python-code-sandbox". - Detailed examples: call
agentpmt-tool-search-and-executionwithaction: "get_instructions"andtool_id: "secure-python-code-sandbox", or call this product withaction: "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-setupto 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-agentpmtfor 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
- ClawHub page: https://clawhub.ai/agentpmt/what-is-agentpmt
- OpenClaw install:
openclaw skills install what-is-agentpmt - skills.sh install:
npx skills add AgentPMT/agent-skills --skill what-is-agentpmt
- AgentPMT account MCP/REST setup: ../agentpmt-account-mcp-rest-api-setup
- ClawHub page: https://clawhub.ai/agentpmt/agentpmt-account-mcp-rest-api-setup
- OpenClaw install:
openclaw skills install agentpmt-account-mcp-rest-api-setup - skills.sh install:
npx skills add AgentPMT/agent-skills --skill 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
passedor success-style boolean, use it as the workflow gate. - If validation fails or the response shape is unclear, call
get_schemaorget_instructionsbefore retrying. - If
invokefails, 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
- What AgentPMT is: ../what-is-agentpmt (ClawHub:
what-is-agentpmt, page: https://clawhub.ai/agentpmt/what-is-agentpmt; skills.sh:npx skills add AgentPMT/agent-skills --skill what-is-agentpmt) - AgentPMT account MCP/REST setup: ../agentpmt-account-mcp-rest-api-setup (ClawHub:
agentpmt-account-mcp-rest-api-setup, page: https://clawhub.ai/agentpmt/agentpmt-account-mcp-rest-api-setup; skills.sh:npx skills add AgentPMT/agent-skills --skill agentpmt-account-mcp-rest-api-setup) - Marketplace product: https://www.agentpmt.com/marketplace/secure-python-code-sandbox
- AgentPMT main MCP server: https://api.agentpmt.com/mcp/
- AgentPMT REST invoke endpoint: https://api.agentpmt.com/products/purchase
- 确保已安装 OpenClaw(本地或 Docker 部署)
- 在对话框中输入安装命令:
/install secure-python-code-sandbox - 安装完成后,直接呼叫该 Skill 的名称或使用
/secure-python-code-sandbox触发 - 根据 Skill 的参数说明提供必要输入,即可获得结构化输出
Secure Python Code Sandbox 是什么?
Secure Python Code Sandbox: Execute arbitrary Python code in an isolated sandbox with pre-installed libraries (requests, NumPy, pandas). Returns stdout, stde... 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件,目前累计下载 25 次。
如何安装 Secure Python Code Sandbox?
在 OpenClaw 或 Claude Code 对话框中运行命令「/install secure-python-code-sandbox」即可一键安装,无需额外配置。
Secure Python Code Sandbox 是免费的吗?
是的,Secure Python Code Sandbox 完全免费,采用 MIT-0 许可证,可自由下载、安装和使用。
Secure Python Code Sandbox 支持哪些平台?
Secure Python Code Sandbox 跨平台运行,可在任意部署了 OpenClaw / Claude Code 的环境中使用(cross-platform)。
谁开发了 Secure Python Code Sandbox?
由 AgentPMT(@agentpmt)开发并维护,当前版本 v1.0.0。