智能接口工具箱

MockLab 是一个**智能接口工具箱**，支持 Mock 数据生成、请求转发、数据复现——接口开发调试一站式解决。 支持任意格式的接口文档（Markdown、Word、Java 源码、纯文本等）和任意结构（表格、嵌套 JSON、加密字段、数组对象等）。模型自动理解文档并驱动整个流程：解析文档 → 生成 Sch...

This skill is internally consistent with its claimed purpose (local mock server + AI-driven schema generation). Before installing/running: 1) Review the code locally (mock_server.py, ui.html). 2) Be aware the UI loads an external CDN JS file — if you prefer, host assets locally or replace the remote script. 3) The 'Real Proxy' will forward requests (and any headers you configure) to arbitrary targets — do not forward sensitive credentials or internal endpoints you don't trust. 4) The server will create schema_store/ and state_store.json in the skill folder; those files may contain generated tokens/state—store them appropriately. 5) You must install Python dependencies (FastAPI, uvicorn, httpx) and optionally Playwright; prefer installing from official package indexes. If you want higher assurance, run the server in an isolated environment (container or VM) and audit/replace external CDN usage before exposing it to others.

Type: OpenClaw Skill Name: mocklab Version: 1.1.2 The MockLab skill bundle is a comprehensive tool for generating mock API responses and managing development workflows. The Python server (mock_server.py) implements a robust mock engine for synthetic data generation (e.g., ID cards, phone numbers) and includes a proxy feature for forwarding requests to local backends. While the proxy functionality and file-writing capabilities (schema_store/) represent a standard attack surface for SSRF or path traversal, the implementation is consistent with the stated purpose of a developer utility. No evidence of intentional data exfiltration, malicious code execution, or harmful prompt injection was found across the code, tests, or documentation.