{"repo":"gaasher/Agent-Loop-Skills","free":true,"listed":false,"github":"https://github.com/gaasher/Agent-Loop-Skills","clone":"git clone https://github.com/gaasher/Agent-Loop-Skills.git","description":"Loop until it's better — drop-in agentic loops (autoresearch, scientific writing, data analysis, code/SQL/prompt optimization, red-teaming) as open-standard Agent Skills. Verification-gated; native on Claude Code, portable across Codex, Cursor & other Skills hosts.","language":"Python","stars":153,"topics":["agent-skills","agentic-loops","ai-agents","autoresearch","claude-code","data-analysis","llm-agents","open-source","red-teaming","skills"],"license":"MIT","category":"ai-agents","readme_excerpt":"agent-loop-skills Loop until it's better — drop-in agentic loops , packaged as open-standard Agent Skills . Autoresearch · scientific writing · data analysis · code/SQL/prompt optimization · red/blue/purple-teaming — each a generic, reusable loop you bind to your own task at invocation time , that iterates against a real signal until the work is actually better. A real run. The tournament-autoresearch loop on a CIFAR-10 model under a fixed 5-epoch budget — competing agents propose a change each step, a self-calibrating judge keeps the winners (green) and discards the regressions (gray): 0.734 → 0.798 val acc, hands-off, 7 of 11 kept. Full ledger: showcase/tournament-autoresearch . Far from SOTA by design — a deliberately tiny CNN at 5 epochs on a laptop GPU (Apple MPS). The demo is the loop's decision-making, not the absolute accuracy. --- Why loops-as-skills Two ideas collided in late 2025, and this repo lives in the overlap: - Skills became the portable unit. An Agent Skill is just Markdown + a little YAML that an agent loads only when relevant — \"maybe a bigger deal than MCP … throw in some text and let the model figure it out\" (Simon Willison). One SKILL.md now runs across 30 hosts (Claude Code, Codex, Cursor, …). - The loop became the program. Karpathy ran 700 autoresearch experiments in 2 days from one markdown prompt; Geoffrey Huntley's Ralph is, \"in its purest form, a Bash loop.\" Agents get most of their power not from one clever prompt but from iterating against feed","default_branch":null,"files":null,"tree":[],"storefront":"/r/gaasher","claimed":false,"request_supported":{"post":"https://gitbuyer.com/r/gaasher/Agent-Loop-Skills/request-supported","requests":0},"note":"indexed from public GitHub; nothing is for sale on this page. Clone it from GitHub. Paid listings live at /search."}