circular-import-analysis

circular-import-analysis is a Codebase structure & module boundaries skill for AI agents, published by DataDog in the dd-trace-py repository on GitHub. Skillspace rates circular-import-analysis D (59/100) and it passed the safety scan; the rating is based on static analysis only.

Run circular import detection against ddtrace and propose architectural fixes for any cycles found. Use this when adding or refactoring modules, or when the detect_circular_imports CI job reports new cycles on a PR.

Grade
D
Quality
59 / 100
Safety
Passed
GitHub stars
643

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 GitHubDataDog/dd-trace-py

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

Better-rated skills in Codebase structure & module boundaries

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