rw-research-novelty

rw-research-novelty is a Literature review & citations skill for AI agents, published by rolandwonglonam in the rw-research-skill repository on GitHub. Skillspace rates rw-research-novelty C (72/100) and it passed the safety scan; the rating is based on static analysis only.

把证据空白、冲突和异常转成可追溯的候选创新点,并按贡献、可行性和证伪条件筛选。 Use when the user asks for “找科研创新点”、“从文献 gap 生成研究方向”、“筛选候选创新点”、“头脑风暴研究方向”, or requests the rw-research-novelty workflow. Runs without a private local workspace or preset research-lab; use user-provided material and bundled public-source methods.

Grade
C
Quality
72 / 100
Safety
Passed
GitHub stars
62

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
84 / 100
Maturity
Structured: ships references or scripts
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

Skillspace indexes and rates this skill; it does not host or endorse it. Run third-party skills at your own risk.