eecs-thesis-blind-review
eecs-thesis-blind-review is a Peer review & grants skill for AI agents, published by sakia0z in the eecs-thesis-blind-review repository on GitHub. Skillspace rates eecs-thesis-blind-review C (71/100) and it passed the safety scan; the rating is based on static analysis only.
审阅电子信息、计算机、软件、通信、控制、电路及相近工科方向的硕士学位论文或大论文，按盲审专家口径进行证据化评估、多维度 10 分制评分、6 分及格判断、问题分级与修改建议生成。Use when Codex needs to read a master thesis manuscript, abstract, chapter excerpts, or review materials and produce blind-review style scoring, pass/fail judgment, and expert comments.
- Grade
- C
- Quality
- 71 / 100
- Safety
- Passed
- GitHub stars
- 21
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
- 94 / 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
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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