paper-review
paper-review is a Peer review & grants skill for AI agents, published by voidful in the academic-skills repository on GitHub. Skillspace rates paper-review C (76/100) and it passed the safety scan; the rating is based on static analysis only.
學術論文審稿技能 — 以結構化四步驟流程完成深度論文審查，涵蓋批判性審查、分數預測、要點精煉與正式審稿產出。當使用者需要 review 一篇論文、模擬 reviewer 反應、評估論文能否被接收、或幫助判斷論文優缺點時，一定要使用此技能。觸發詞包括：review 這篇、幫我審稿、reviewer 會怎麼說、這篇能上嗎、paper review、給分數、找 weakness。適用於任何學術論文的審稿模擬與評估。
- Grade
- C
- Quality
- 76 / 100
- Safety
- Passed
- GitHub stars
- 105
Unproven: rated by static analysis only, not yet compared head-to-head.
Not launch-quality. It is graded C with a clean safety verdict, but our quality filters exclude it: it is a near-duplicate variant of another skill. 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
- 91 / 100
- Maturity
- Packaged: licensed, with a version or references
- Security scan
- No issues found
- License
- MIT
- Adoption
- Adopted by 0 other repositories, in 0 collections
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.