research-hub-multi-ai
research-hub-multi-ai is an Agent task delegation & fan-out skill for AI agents, published by WenyuChiou in the research-hub repository on GitHub. Skillspace rates research-hub-multi-ai C (70/100) and it passed the safety scan; the rating is based on static analysis only.
Research-domain router that writes `.coord/multi_ai_plan.md` when a single round of work will need two or more delegates AND the work touches research-hub artifacts (`.research/`, `.paper/`, Zotero/Obsidian/NotebookLM pipelines). For a single delegate, use `codex-delegate` or `gemini-delegate` directly — do not invoke this skill. For generic non-research multi-agent decomposition (pure code refactor, generic translation, no research-hub artifact), use `agent-collab-workspace:agent-task-splitter` instead (different artifact `.coord/plan.yml`, different scope). The router decides task splitting, dependency ordering, and reconciliation; the leaves execute.
- Grade
- C
- Quality
- 70 / 100
- Safety
- Passed
- GitHub stars
- 36
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
- Low-risk patterns
- License
- MIT
- Adoption
- Adopted by 0 other repositories, in 0 collections
What the scanner flagged
- mentions secrets in text
Not checked yet
- Not judged on the rubric yet (not a contender in its category)
- No blind task eval yet
- Scope (portable / vendor / repo-internal) not assessed; only the top of each category is read for scope
- Sibling files (scripts, references) not fetched; security scan covers SKILL.md only
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