Statically analyze a local JS/Electron app you're authorized to study, with file+line evidence, and build an original reimplementation of what you find. Experimental. Phase 1: JS/Electron static analysis. Phase 2: native ELF/PE/Mach-O container inspection. Phase 3: .NET assembly metadata. Phase 4: EVM bytecode inventory. Phase 5: CUDA fatbin, cubin and PTX inventory. Parses, never executes. Dynamic analysis is a future phase, not yet implemented.
Not in a marketplace yet, so it loads for one session with --plugin-dir.
Plugin ruflo-rure in ruvnet/ruflo. Commands read from the repo's manifest — today.
analyze-appStatically inspect a local JavaScript or Electron app you are authorized to study and explain how a feature works with file+line evidence. Use when the user wants to understand or reimplement a feature from an app whose source they have. Parses only; never executes the target.
/ruflo-rure:rure-analyzeStatically analyze a JS/Electron app you're authorized to study. For example, /rure-analyze /path/to/app explain how the search feature works.
reverse-engineerInvestigates how a feature in a local JS/Electron app works, using ruRE's static-analysis tools, and proposes an original reimplementation. Use when a task is specifically "understand and rebuild feature X from app Y." Stops before analyzing anything outside the authorized target and never executes
Agentic QE (external: maintained in proffesor-for-testing/agentic-qe, pinned to v3.15.17): a quality-engineering fleet with 11 QE agents, 9 skills, 9 commands, the agentic-qe MCP server pinned to the plugin version, and the aqe-mod guard that refuses destructive operations on AQE learning data
9 skills · 9 commands · 11 agents · 1 MCP server
Token usage tracking, model cost attribution per agent, budget alerts, and optimization recommendations
24 skills · 1 command · 1 agent · hooks
Tenant-isolated AI teams that plan work, coordinate tasks, recall approved context, and return evidence-backed results
6 skills · 6 commands · 4 agents · 1 MCP server
Agent runtimes — local WASM-sandboxed agents (rvagent) + Anthropic Claude Managed Agents (cloud); one interface, local-vs-cloud backends
5 skills · 2 commands · 9 agents
MetaHarness integration — surfaces score/genome/mint/mcp-scan/threat-model via skills; pairs with @metaharness/router (ADR-148/149) for cost-optimal model routing; honors ADR-150 optional-augmentation constraint
13 skills · 1 command · 1 agent · hooks
Visual workflow automation with templates, orchestration, and lifecycle management
5 skills · 8 commands · 3 agents
Code intelligence powered by a knowledge graph. Provides execution flow tracing, blast radius analysis, and augmented search across your codebase.
12 skills · 1 MCP server · hooks
PreToolUse security reminder hook for Claude Code. Catches 12 common security anti-patterns in Edit/Write/MultiEdit operations BEFORE they happen — command injection (exec, os.system, subprocess shell=True), XSS (innerHTML, dangerouslySetInnerHTML, document.write), SQL injection (f-string queries, .format), unsafe deserialization (pickle, yaml.unsafe_load), code injection (eval, new Function), and GitHub Actions workflow injection. Session-state caching prevents duplicate warnings; 30-day auto-cleanup. Disable per-session with ENABLE_SECURITY_REMINDER=0. Ported from David Dworken at Anthropic.
1 skill · hooks
Mod almost any game you own with an AI agent: engine recon, reverse engineering, fal-generated art/3D/audio, in-game testing, showcase videos, and a shared knowledge base of how games were modded.
13 skills · 3 agents · 1 MCP server · hooks
Decompile Android APK/JAR/AAR with jadx, trace call flows through libraries, and document extracted APIs.
1 skill · 1 command
Comprehensive Rust security code review with specialized bug-finding agents covering the safe/unsafe boundary, memory safety in unsafe blocks, concurrency, panic-induced DoS, recursion-induced stack overflow, FFI, and async runtime hazards
1 skill · 3 agents
Desktop application scaffolding with Electron or Tauri
1 command
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