auto-dimension

auto-dimension is a Graphics, 3D & shaders skill for AI agents, published by shuotao in the REVIT_MCP_study repository on GitHub. Skillspace rates auto-dimension D (65/100) and it passed the safety scan; the rating is based on static analysis only.

自動標註尺寸：使用 Ray-Casting 或 BoundingBox 方法，在平面視圖中自動建立房間、走廊、MEP 設備的尺寸標註。觸發條件：使用者提到標註、尺寸、dimension、annotation、淨寬、淨高、measurement、自動標註、批次標註。工具：create_dimension_by_ray、create_dimension_by_bounding_box、get_room_info。

Grade
D
Quality
65 / 100
Safety
Passed
GitHub stars
83

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 GitHubshuotao/REVIT_MCP_study

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

Better-rated skills in Graphics, 3D & shaders

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