By erfwn81
AI safety scanning, PII detection, prompt injection defense, and adaptive threat learning
Uses power tools
Uses Bash, Write, or Edit tools
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Neural trading via npx neural-trader β self-learning strategies, Rust/NAPI backtesting, 112+ MCP tools, swarm coordination, and portfolio optimization
Advanced git workflows with diff analysis, risk scoring, change classification (feature/bugfix/refactor/...), and reviewer recommendations β wraps 6 analyze_* MCP tools (diff, diff-risk, diff-classify, diff-reviewers, file-risk, diff-stats)
Domain-Driven Design scaffolding β bounded contexts, aggregate roots, domain events, value objects, repositories, and anti-corruption layers; navigable domain graph stored in AgentDB
RVF format for portable agent memory, session persistence, and cross-platform transfer
Cache-aware /loop workers and CronCreate background automation β wraps 5 hooks_worker-* MCP tools (list/dispatch/status/detect/cancel) and exposes 12 background worker triggers (ultralearn, optimize, consolidate, predict, audit, map, preload, deepdive, document, refactor, benchmark, testgaps)
npx claudepluginhub erfwn81/velora --plugin ruflo-aidefenceEfficient skill management system with progressive discovery β 410+ production-ready skills across 33+ domains
Harness-native ECC plugin for engineering teams - 67 agents, 271 skills, 92 legacy command shims, reusable hooks, rules, MCP conventions, and operator workflows for Claude Code plus adjacent agent harnesses
Complete collection of battle-tested Claude Code configs from an Anthropic hackathon winner - agents, skills, hooks, and rules evolved over 10+ months of intensive daily use