sf-research-frontier

sf-research-frontier is a Context window & token budget skill for AI agents, published by 91zgaoge in the StoryMoss repository on GitHub. Skillspace rates sf-research-frontier D (61/100) and it passed the safety scan; the rating is based on static analysis only.

StoryMoss 可推进的开放前沿——Context Rot 防御深化（长篇连载下记忆衰减量化与对抗）。何时加载：要规划研究、要评估长上下文记忆方向、要量化 Lost in the Middle、要扩展 ContextPrioritizer、或被问“下一步研究做什么/本项目的前沿在哪”时。

Grade
D
Quality
61 / 100
Safety
Passed
GitHub stars
55

Unproven: rated by static analysis only, not yet compared head-to-head.

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
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

  • 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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