single-document-review
single-document-review is a Non-code artifact review skill for AI agents, published by LazyAGI in the LazyMind repository on GitHub. Skillspace rates single-document-review D (67/100) and it passed the safety scan; the rating is based on static analysis only.
Use this skill when the user requests to review, analyze, critique, or summarize a SINGLE academic paper, general document, internal report, proposal, or web article. Supports comprehensive structured reviews covering methodology/logic assessment, strengths, weaknesses, and constructive feedback. Retrieves content using native tools (`url_fetch`, `kb_search`, `arxiv_search`) and outputs the analysis directly in the chat.
- Grade
- D
- Quality
- 67 / 100
- Safety
- Passed
- GitHub stars
- 54
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
- 98 / 100
- Maturity
- Basic: a single SKILL.md
- Security scan
- No issues found
- License
- Apache-2.0
- 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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