softening-objectivity-audit

softening-objectivity-audit is a Physics, mathematics & simulation skill for AI agents, published by xvchujin in the umat-skill repository on GitHub. Skillspace rates softening-objectivity-audit D (59/100) and it passed the safety scan; the rating is based on static analysis only.

当 UMAT 含 stiffness degradation、RecursiveDamage、dmg←dmg/e、局部软化或 element deletion，且需判断结果是否依赖 UMAT 调用/增量次数、mesh size、fracture energy/CELENT 或耗散能时调用。它是强制 objectivity audit，不是固定正则化配方；同峰值但不同终值刚度、Aborted ODB 或单张 SDV 云图都不能通过。

Grade
D
Quality
59 / 100
Safety
Passed
GitHub stars
155

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 GitHubxvchujin/umat-skill

Our review

Architecture
84 / 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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