research-review
research-review is a Multi-agent review & consensus skill for AI agents, published by GRIND-Lab-Core in the night_owl_research_agent repository on GitHub. Skillspace rates research-review D (60/100) and it passed the safety scan; the rating is based on static analysis only.
Get a deep critical review of research idea from GPT via Codex MCP. Use when user says "review my idea", "help me review", "get external review", or wants critical feedback on research ideas, papers, or experimental results.
- Grade
- D
- Quality
- 60 / 100
- Safety
- Passed
- GitHub stars
- 99
Unproven: rated by static analysis only, not yet compared head-to-head.
Our two independent classifiers differ on this skill's category, so treat the placement as provisional.
This rating describes the version of the repository we crawled; it may have changed since, so go by its current files.
Our review
- Architecture
- 93 / 100
- Maturity
- Basic: a single SKILL.md
- Security scan
- Low-risk patterns
- License
- Not declared. Check the repository before reusing it.
- Adoption
- Adopted by 0 other repositories, in 0 collections
What the scanner flagged
- over-broad allowed-tools ('*')
Not checked yet
- Category is a classifier prediction; no model has read this skill 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
Skillspace indexes and rates this skill; it does not host or endorse it. Run third-party skills at your own risk.