sf-reference

sf-reference is a Codebase mapping & onboarding skill for AI agents, published by 91zgaoge in the StoryMoss repository on GitHub. Skillspace rates sf-reference D (65/100) and it passed the safety scan; the rating is based on static analysis only.

StoryMoss 领域理论包（中级工程师/Sonnet 级模型缺乏的背景知识，在本项目的具体应用而非教科书）。何时加载：要改 TipTap/ProseMirror、Tauri IPC、rusqlite/r2d2、LanceDB、Zustand/TanStack、ts-rs、CJK 分词、KMP border、RRF、艾宾浩斯、合同驱动等，或不理解某个模块背后的原理时。

Grade
D
Quality
65 / 100
Safety
Passed
GitHub stars
55

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.

View source on GitHub91zgaoge/StoryMoss

Our review

Architecture
94 / 100
Maturity
Basic: a single SKILL.md
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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