academic-paper-review
academic-paper-review is a Peer review & grants skill for AI agents, published by bytedance in the deer-flow repository on GitHub. Skillspace rates academic-paper-review D (63/100) and it passed the safety scan; a judge model has also reviewed it.
Use this skill when the user requests to review, analyze, critique, or summarize academic papers, research articles, preprints, or scientific publications. Supports comprehensive structured reviews covering methodology assessment, contribution evaluation, literature positioning, and constructive feedback generation. Trigger on queries involving paper URLs, uploaded PDFs, arXiv links, or requests like "review this paper", "analyze this research", "summarize this study", or "write a peer review".
- Grade
- D
- Quality
- 63 / 100
- Safety
- Passed
- GitHub stars
- 82,342
Placed #3 of 6 in the judged category final for Peer review & grants.
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
- 91 / 100
- Maturity
- Basic: a single SKILL.md
- Security scan
- No issues found
- License
- Not declared. Check the repository before reusing it.
Judge review
Placed #3 of 6 in the judged category final for Peer review & grants.
- Trigger
88 88 - Instructions
85 85 - Specificity
85 85 - Safety
65 65 - Disclosure
45 45 - Maintenance
40 40
A detailed phase-based review methodology with concrete rubric tables, but everything lives in one monolithic file with no confidentiality or authorization guardrails.
Not checked yet
- Category is a classifier prediction; no model has read this skill 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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