research-workflow
research-workflow is a Multi-stage workflow orchestration skill for AI agents, published by TenureAI in the PhD-Zero repository on GitHub. Skillspace rates research-workflow F (52/100) and it passed the safety scan; the rating is based on static analysis only.
PRIMARY ORCHESTRATOR — trigger this skill FIRST for any non-trivial AI R&D task. Coordinates run-governor, memory-manager, deep-research, research-plan, project-context, experiment-execution, human-checkpoint, and paper-writing. TRIGGER FIRST when: any non-trivial research task begins (analysis, debugging, reproduction, planning, evaluation, training), or context compaction detected (Compact/压缩/Summary). Other skills should be invoked FROM WITHIN this workflow. DO NOT TRIGGER when: trivial single-command tasks ("show file", "fix typo"), or pure conversational queries.
- Grade
- F
- Quality
- 52 / 100
- Safety
- Passed
- GitHub stars
- 52
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
- 70 / 100
- Maturity
- Basic: a single SKILL.md
- Security scan
- No issues found
- License
- MIT
- Adoption
- Adopted by 0 other repositories, in 0 collections
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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