artifact-review
artifact-review is a Non-code artifact review skill for AI agents, published by tsingyuai in the scientify repository on GitHub. Skillspace rates artifact-review C (74/100) and it passed the safety scan; a judge model has also reviewed it.
Use this when the user wants a draft paper, figure bundle, README, release page, or experiment artifact reviewed before sharing. Checks evidence binding, claim scope, captions, layout clarity, and release readiness.
- Grade
- C
- Quality
- 74 / 100
- Safety
- Passed
- GitHub stars
- 1,351
Placed #3 of 6 in the judged category final for Non-code artifact review.
Not launch-quality. It is graded C with a clean safety verdict, but our quality filters exclude it: it looks written only for the repository it lives in. So it is not in our launch-quality set, the skills our MCP server searches and recommends. How launch-quality is decided
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
- Not declared. Check the repository before reusing it.
- Adoption
- Adopted by 0 other repositories, in 0 collections
Judge review
Placed #3 of 6 in the judged category final for Non-code artifact review.
- Trigger
84 84 - Instructions
91 91 - Specificity
93 93 - Safety
89 89 - Disclosure
86 86 - Maintenance
78 78
Strong release-gate workflow with clear P0/P1/P2 severity rules and a verdict schema, though it leans on template references rather than executable checks.
Not checked yet
- 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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