hf-frame

hf-frame is a Discovery & requirements clarification skill for AI agents, published by hujianbest in the harness-flow repository on GitHub. Skillspace rates hf-frame D (65/100) and it passed the safety scan; the rating is based on static analysis only.

HarnessFlow frame 阶段(主链入口)。任何新特性、行为变更或缺陷修复开始时使用:把用户意图定格为一页 frame.md——意图、范围、风险档位(1 微改/2 标准/3 高危)及理由,并用 hf_gate.py run 建立环境基线(全量测试/构建能否真实运行)。不写需求细节、不做设计。产出的档位决定后续流程形态。

Grade
D
Quality
65 / 100
Safety
Passed
GitHub stars
50

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
Basic: a single SKILL.md
Security scan
No issues found
License
MIT
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.