cst-runtime-optimization

cst-runtime-optimization is a Physics, mathematics & simulation skill for AI agents, published by Cai-aa in the CAE-Agent-Hub repository on GitHub. Skillspace rates cst-runtime-optimization D (61/100) and it passed the safety scan; the rating is based on static analysis only.

当用户要求使用 CLI/runtime 执行 CST 参数优化循环、S11 指标迭代、多轮仿真对比时调用此 Skill。本 Skill 依赖 cst-runtime-cli 提供基础设施，不携带 runtime scripts，所有 CLI 调用走 base skill 的 uv run python -m cst_runtime 入口。

Grade
D
Quality
61 / 100
Safety
Passed
GitHub stars
596

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 GitHubCai-aa/CAE-Agent-Hub

Our review

Architecture
87 / 100
Maturity
Basic: a single SKILL.md
Security scan
No issues found
License
MIT
Adoption
Adopted by 1 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 Physics, mathematics & simulation

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