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arbor

80 / 100 · Low risk

Fine to try.

By KalarisLabs/research-agent-skills (GitHub) · research · 126 stars · scanned at commit 802bbea

Autonomously improve a real artifact (code, training recipe, agent harness, data pipeline, prompt) against an objective and an evaluator, using Hypothesis Tree Refinement (HTR) from the Arbor paper. Use this whenever someone wants to iteratively optimize something over many experiments without overfitting — e.g. "get my model's eval score up", "improve this agent/harness", "tune this pipeline", "beat the baseline on this benchmark", "run a search over approaches and keep the best", "do an MLE-b…

Works with any agent that supports SKILL.md skills.

What this skill can do

Install

Paste this into your terminal. It downloads exactly the version we scanned, not whatever is newest.

if [ -e ~/.agents/skills/'arbor' ] || [ -L ~/.agents/skills/'arbor' ]; then echo 'A skill folder named arbor already exists — not replacing it' >&2; false; else d=$(mktemp -d) && git clone --quiet --filter=blob:none --no-checkout 'https://github.com/KalarisLabs/research-agent-skills' "$d" && git -C "$d" checkout --quiet '802bbea44e551abac24d6856f83fc55149bbdba3' -- 'skills/arbor' && mkdir -p ~/.agents/skills && cp -R "$d"/'skills/arbor' ~/.agents/skills/'arbor' && rm -rf "$d"; fi

Codex reads ~/.agents/skills directly. For Claude Code, Cursor, Copilot, Gemini CLI, Antigravity or OpenCode, also link it. For Claude Code: ln -s ~/.agents/skills/'arbor' ~/.claude/skills/'arbor' (other agents: ~/.cursor/skills, ~/.copilot/skills, ~/.gemini/skills, ~/.gemini/config/skills, ~/.config/opencode/skills). Or install through the finder skill, which does both.

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