capture

Auto-generating a Python CLI from web traffic involves recording live HTTP requests from a web application to discover APIs and map endpoints into executable command-line interfaces. The Skill captures interactions and translates them into a ready-to-use CLI on your PATH.

API discovery from HAR tracing works by recording live web traffic and optional HAR outputs to detect application endpoints, site fingerprints, and authentication mechanisms. Captured HTTP data is parsed to identify backend APIs and structure them into a Python CLI.

Yes, you need the Playwright CLI for browser automation to capture HTTP traffic for CLI generation. Playwright drives the web application to generate live traffic, which is then parsed to fingerprint the site and auto-generate the Python CLI.

Yes, you can use mitmproxy as an optional Python tooling component alongside Playwright for web traffic recording. Mitmproxy intercepts and parses HTTP traces, while Playwright handles browser automation to produce traffic for API discovery and CLI generation.

Site fingerprinting in web traffic capture is the process of detecting a web application's framework, checking for protections, identifying iframes, and detecting authentication methods. It maps the application's structural footprint to guide API discovery and CLI generation.

A limitation of generating CLIs from live web traffic is that it requires an actively running web application with live traffic to function. Without existing user interactions or HAR traces to capture, the Skill cannot discover APIs or auto-generate the Python CLI.