animated-transformer-style-principles

animated-transformer-style-principles is a Coding standards & language idioms skill for AI agents, published by PAIR-code in the tiny-transformers repository on GitHub. Skillspace rates animated-transformer-style-principles D (58/100) and it passed the safety scan; the rating is based on static analysis only.

Guidelines and coding principles for the AnimatedTransformer repository, including TensorFlow.js usage, typed named tensors (GTensor), Angular standalone component patterns, code styling, testing paradigms, and project configurations.

Grade
D
Quality
58 / 100
Safety
Passed
GitHub stars
22

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 GitHubPAIR-code/tiny-transformers

Our review

Architecture
81 / 100
Maturity
Basic: a single SKILL.md
Security scan
No issues found
License
Apache-2.0
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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