@nerua1

nerua1-skill-vetter provides a structured security audit protocol for evaluating ai agent skills before installation. covers source verification, code review with explicit red flag detection, permission scope analysis, and risk classification with actionable verdicts.

nerua1-publishing-guide provides a cross-platform skill release checklist covering anti-duplicate vetting, naming conventions, credential scanning, and multi-platform distribution strategy for openclaw, claude-code, hermes, and clawhub.

nerua1-ultrawork runs multiple independent tasks in parallel by routing each to a tiered model based on complexity, collecting results when all complete. targets 3x speedup on batch work without sequential blocking.

nerua1-arena-council executes multiple local llms in parallel and aggregates responses via majority or weighted voting. targets cost reduction and robustness over single-model inference.

Generate a daily news portal as a single HTML file. Uses fetch_news.py + web_fetch + LLM for summaries. 18 categories, dark/light toggle, responsive layout.

Security pre-flight for AI coding agents — plan libs, audit CVEs, certify, then code. Non-blocking in autonomous mode (ex-post report).

Provides a minimal, zero-config security starter pack for Vibe coders to detect known vulnerabilities, unmaintained packages, and credential leaks before ins...

Multi-Model Council - parallel execution of multiple LLMs with voting/consensus.