RUC-NLPIR/Arbor

arbor-agent-setup-intake

Setup, intake, preflight, and launch-contract phase for open-source Arbor runs. Use when confirming a target project, metric, baseline, dev/test split, config/plugin settings, branch guard, session directory, or when translating a user goal into the precise…

원문 언어: 영어

arbor-research-agent

Public entrypoint for the Arbor skill suite. Use when a user wants to run an Arbor-style autonomous research or optimization workflow from a natural-language goal, including initial clarification of objective, target project, data, metric, evaluation,…

원문 언어: 영어

arbor-agent-coordinator

Coordinator phase for Arbor: persistent ReAct loop, Idea Tree state, INIT/OBSERVE/IDEATE/SELECT/DISPATCH/DECIDE protocol, tool mapping, cycle caps, and coordinator-only behavior. Use after setup/intake and before phase-specific ideation, executor, merge,…

원문 언어: 영어

arbor-agent-executor

Executor-dispatch phase for Arbor. Use when implementing an Idea Tree node through RunExecutor or RunExecutorParallel semantics: isolated git worktree, executor prompt construction, eval metadata injection, RunTraining policy, smoke/full evaluation, report…

원문 언어: 영어

arbor-agent-ideate

Strict IDEATE-stage skill for Arbor. Use immediately after TreeView(format="constraints") when drafting Idea Tree nodes, enforcing the idea_drafting and first_principles_probe behavior, depth-aware idea levels, four-line TreeAddNode hypotheses, conflict…

원문 언어: 영어

arbor-agent-merge-eval

Merge and evaluation discipline for Arbor. Use for TreeSetMeta metadata, B_dev/B_test separation, eval command templates, score parsing, GitMergeBranch behavior, protected paths, required outputs, metric_direction, trunk/test score updates, medal detection,…

원문 언어: 영어

arbor-agent-orchestrator

Top-level controller for recreating the open-source AutoResearch workflow as a suite of skills. Use when the user asks to run, emulate, extract, validate, or refine Arbor/AutoResearch behavior, especially when a coordinator must load phase skills for setup,…

원문 언어: 영어

arbor-agent-plugins-hitl-budget

Domain adaptation, human-in-the-loop, and budget policy phase for Arbor. Use when a run mentions plugins, plugin profiles, mle_kaggle, eval_contract, protected_paths, required_outputs, lifecycle hooks, convergence, budget_policy, RunTraining stages, AskUser,…

원문 언어: 영어

arbor-agent-resume-report

Resume, checkpoint, event, dashboard, finalization, and report phase for Arbor. Use when continuing interrupted sessions, handling running-node requeue, writing checkpoints/messages, consuming events.jsonl/run_stats, recovering best submissions, generating…

원문 언어: 영어

arbor-agent-search

Related-work and novelty annotation phase for Arbor. Use after a node has been experimentally validated, especially before merge decisions, to emulate SearchIdeaContext/SearchIdeaContextParallel/SearchStatus, validated-node gating, background SearchAgent…

원문 언어: 영어

arbor-agent-tools

Deterministic helper layer for emulating Arbor tools in Codex or Claude Code when native TreeView, TreeAddNode, TreeSetMeta, RunExecutor, GitMergeBranch, or report tooling is unavailable. Use for local state management, eval score capture, executor prompt…

원문 언어: 영어