arbor-agent-orchestrator
arbor-agent-orchestrator is a Multi-stage workflow orchestration skill for AI agents, published by RUC-NLPIR in the Arbor repository on GitHub. Skillspace rates arbor-agent-orchestrator C (74/100) and it passed the safety scan; the rating is based on static analysis only.
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, ideation, executors, merge evaluation, novelty search, plugins, resume, and reports.
- Grade
- C
- Quality
- 74 / 100
- Safety
- Passed
- GitHub stars
- 933
Unproven: rated by static analysis only, not yet compared head-to-head.
This rating describes the version of the repository we crawled; it may have changed since, so go by its current files.
Our review
- Architecture
- 100 / 100
- Maturity
- Structured: ships references or scripts
- Security scan
- No issues found
- License
- Apache-2.0
- Adoption
- Adopted by 0 other repositories, in 0 collections
- Scope
- Vendor-specific: built around one product. Orchestrates the public Arbor/AutoResearch workflow for its users
Not checked yet
- Not judged on the rubric yet (not a contender in its category)
- No blind task eval yet
- Sibling files (scripts, references) not fetched; security scan covers SKILL.md only
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