Aurelius: frontier-tier agentic LLM platform | 1.4B transformer | 146 build cycles | 25265+ tests | Python 3.14 | MCTS reasoning, BM25+hybrid search, agentic tools, multimodal, MCP, deployment | security-hardened: 0 open HIGH/CRITICAL findings
npx add-skill S3nna13/AureliusAurelius: frontier-tier agentic LLM platform | 1.4B transformer | 146 build cycles | 25265+ tests | Python 3.14 | MCTS reasoning, BM25+hybrid search, agentic tools, multimodal, MCP, deployment | security-hardened: 0 open HIGH/CRITICAL findings
Source: https://github.com/S3nna13/Aurelius
Discovered from GitHub repositories pushed in the last 24 hours for agent skills, Claude/Codex/Gemini workflows, MCP tooling, and adjacent AI-agent automation.
Design, conduct and analyze results of AI-powered surveys and experiments. Simulate social science and market research with large numbers of AI agents and LLMs.
Exercise: Build applications with GitHub Copilot agent mode
Preserve reasoning chains and logical state in Claude Projects to maintain context and build project understanding across AI sessions.
Run a cross-platform OpenClaw desktop client with built-in Gateway, onboarding, chat, and a full admin panel.
Codex skill for downloading authorized academic PDFs through institutional browser sessions
Ship side projects that make money. 5 Claude Code agents, 3 skills, 2 commands, 1 hook — designed to tell you NO before you waste 6 months. Free teaser + full $19 toolkit.