What problem does it solve? Locating the exact JavaScript code that generates API signatures, encrypted parameters, and anti-bot fields on websites is slow and error-prone when done by guessing. This Skill provides a disciplined, evidence-first workflow for frontend JS reverse engineering using js-reverse-mcp and jshookmcp browser debugging tools. ## Core Features & Use Cases - Five-Phase Workflow: Observe, Capture, Rebuild, Patch, and DeepDive stages guide you from page observation to a stable local Node.js reproduction of the target algorithm. - MCP Tool Mapping: Predefined mappings to js-reverse_* tools (network request listing, XHR breakpoints, script search, runtime evaluation) plus jshookmcp for CDP debugging, JS hooks, and AST deobfuscation. - Environment Patching Discipline: Rules for minimal, evidence-driven browser environment shimming in Node.js, with first-divergence tracking and fallback strategies. - Use Case: You need to replicate a website's encrypted request signature. The Skill walks you through finding the target request, tracing its initiator call stack, breaking on the XHR, capturing runtime values, and rebuilding the signing function locally in Node. ## Quick Start Ask the AI to use the js-reverse skill to locate the signature generation logic for a target website's API request and reproduce it locally in Node.js.
