claude

reverse-engineer

Multi-agent reverse engineering system with 10 specialized agents, 3 commands, and continuous fidelity assurance. Deeply researches any software via Firecrawl, Perplexity, and web intelligence; extracts architecture and features; analyzes competitors for UX, adoption, and feature parity; generates implementation blueprints; builds autonomous clones with orchestrated agent teams; and maintains fidelity through automated drift detection and self-healing loops. 3 commands, 10 agents, 1 skill, 4 templates.

0 on GitHubby Trusted American Insurance Agencyv1.0.0MITupdated 20 days ago
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Plugin reverse-engineer from marketplace taia-marketplace in trusted-american/marketplace. Commands read from the repo's manifest — 19 days ago.

What it installs

Skills (1)

  • reverse-engineering

    Comprehensive reference material for ethical software reverse engineering — techniques for black-box analysis, architecture inference, feature extraction, competitive intelligence, drift detection, self-healing, and fidelity measurement using only publicly available information

Slash commands (3)

  • /reverse-engineer:analyze-competitors

    Analyze competitors of a target software — compare features, UX, adoption, tech stacks, pricing, and market position to inform a superior reconstruction

  • /reverse-engineer:reverse-engineer

    Reverse engineer any software — research it deeply, extract architecture, build a blueprint, construct a clone, and maintain fidelity with drift detection and self-healing

  • /reverse-engineer:setup

    Initialize the reverse engineering workspace — configure target, MCP integrations (Firecrawl, Perplexity), research depth, fidelity thresholds, tech stack preferences, and project conventions

Subagents (10)

  • architecture-extractor

    Use this agent to extract a detailed system architecture from research findings. It analyzes a research dossier and produces a structured architecture document covering system topology, data flows, integration points, security model, and deployment patterns.

  • blueprint-architect

    Use this agent to generate a comprehensive implementation blueprint from architecture analysis and feature catalog. It produces a dependency-aware build plan with technology selections, project structure, data models, API design, and phased implementation tasks with acceptance criteria.

  • build-orchestrator

    Use this agent to execute a single build phase from the blueprint. It reads the phase's tasks, implements them (spawning feature-implementer agents for parallelizable work), verifies acceptance criteria, and reports completion status with any drift detected.

  • competitive-analyst

    Use this agent to deeply research a single competitor software product. It gathers features, tech stack, UX patterns, pricing, adoption metrics, strengths, weaknesses, and unique differentiators to feed into the competitive analysis.

  • deep-researcher

    Use this agent for exhaustive internet research on a target software system. It uses WebSearch, WebFetch, and any available Firecrawl/Perplexity MCP tools to build a comprehensive research dossier covering architecture, features, tech stack, APIs, user flows, and competitive landscape.

  • drift-detector

    Use this agent to perform comprehensive fidelity analysis between the built system and the original software. It compares features, architecture, API surface, UI components, data models, and behaviors against the research baseline, producing a scored drift report.

  • feature-cataloger

    Use this agent to create an exhaustive feature inventory from research findings. It catalogs every feature with priority classification, user flow maps, state machines, API endpoints, UI components, and edge case behaviors.

  • feature-implementer

    Use this agent to implement a specific feature task from the build blueprint. It receives a task specification with acceptance criteria and builds the feature with production-quality code, then verifies all criteria are met.

  • self-healer

    Use this agent to autonomously fix drift items identified by the drift-detector. It processes the drift report, prioritizes fixes by severity, implements corrections, verifies each fix against acceptance criteria, and re-scores fidelity.

  • ux-analyst

    Use this agent to perform deep UX analysis of a target software and its competitors. It maps user flows, interaction patterns, navigation structures, accessibility, performance perception, and design systems to inform a reconstruction that matches or exceeds the original's user experience.

View source on GitHub

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