cross-model-review
cross-model-review is a Multi-agent review & consensus skill for AI agents, published by hyperb1iss in the hyperskills repository on GitHub. Skillspace rates cross-model-review F (45/100) and the safety scan rated it risky; the rating is based on static analysis only.
Risky. This skill has patterns associated with unsafe behaviour. Read the source carefully before running it.
Use this skill for cross-model code reviews where a different AI model reviews code written by the current model, and for cross-model fact-checks, diagnosis checks, and design consults. Activates on mentions of cross-model review, peer review, second opinion, review my code, review this PR, review changes, independent review, unbiased review, different model review, cross-check code, code review, confer with codex, fact-check this doc, or check my conclusion.
- Grade
- F
- Quality
- 45 / 100
- Safety
- Risky
- GitHub stars
- 25
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.
Our review
- Architecture
- 87 / 100
- Maturity
- Structured: ships references or scripts
- Security scan
- High-risk patterns
- License
- MIT
- Adoption
- Adopted by 0 other repositories, in 0 collections
What the scanner flagged
- references sensitive credential env
- 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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