resource-tagging

resource-tagging is a Cloud platforms skill for AI agents, published by ancoleman in the ai-design-components repository on GitHub. Skillspace rates resource-tagging C (79/100) and it passed the safety scan; the rating is based on static analysis only.

Apply and enforce cloud resource tagging strategies across AWS, Azure, GCP, and Kubernetes for cost allocation, ownership tracking, compliance, and automation. Use when implementing cloud governance, optimizing costs, or automating infrastructure management.

Grade
C
Quality
79 / 100
Safety
Passed
GitHub stars
387

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.

Our review

Architecture
97 / 100
Maturity
Structured: ships references or scripts
Security scan
No issues found
License
MIT
Adoption
Adopted by 2 other repositories, in 2 collections
Scope
Portable: works in any project. Multi-cloud resource-tagging governance strategy, usable anywhere

Not checked yet

  • Not judged on the rubric yet (not a contender in its category)
  • No blind task eval yet
  • Sibling files (scripts, references) not fetched; security scan covers SKILL.md only

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