arbor
Applies Arbor Hypothesis Tree Refinement to research artifacts with repeatable evaluators, including model training, agent harnesses, data synthesis and benchmark optimization. Uses persistent hypotheses, isolated experiments, evidence propagation and held-out candidate comparison for multi-experiment research runs. Includes a standard-library state manager and guidance for the RUC-NLPIR Arbor CLI.
- Version
- 1.6
- License
- MIT license
- Compatibility
- Requires Python 3.10+ for the bundled state manager and Git for experiment worktrees. The optional arbor-agent CLI needs a separate installation; autonomous model calls need provider credentials and network access.
Pinned to revision 68105dd992f1, so it is the text this page describes rather than whatever the author pushed since.
Pre-approved tools experimental
Experimental field. Support varies between clients, so this list is what the author declared, not what your client will enforce.
- Read
- Write
- Edit
- Bash
- Agent
Files
- skills/arbor/SKILL.md
- skills/arbor/SKILL_CN.md
- skills/arbor/references/arbor-upstream.md
- skills/arbor/references/executor-brief.md
- skills/arbor/references/htr-methodology.md
- skills/arbor/references/report-template.md
- skills/arbor/scripts/tree.py
Every link opens the file at its source, pinned to the revision this page describes.