literature-survey
literature-survey is a Chemistry & materials skill for AI agents, published by kettly1260 in the chemdeep repository on GitHub. Skillspace rates literature-survey C (73/100) and it passed the safety scan; the rating is based on static analysis only.
ChemDeep 的默认科研入口。凡是用户要求搜索论文、寻找相关工作、做文献综述、调研某个研究方向、分析领域现状、比较技术路线、总结研究空白或为后续机理分析收集证据时，优先触发本 skill，而不是直接调用裸 MCP 检索工具。本 skill 负责统一编排检索、筛选、证据提取、全文获取与调研汇总流程。
- Grade
- C
- Quality
- 73 / 100
- Safety
- Passed
- GitHub stars
- 26
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
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
- Low-risk patterns
- License
- Not declared. Check the repository before reusing it.
- Adoption
- Adopted by 0 other repositories, in 0 collections
What the scanner flagged
- mentions secrets in text
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.