data-flow-audit

data-flow-audit is a Codebase audits & code health skill for AI agents, published by benjaminshoemaker in the ai_coding_project_base repository on GitHub. Skillspace rates data-flow-audit D (62/100) and it passed the safety scan; the rating is based on static analysis only.

Detect split data source anti-patterns and scattered business rule duplication where the same logic is reimplemented across multiple files and languages. Catches semantic duplication that syntactic tools like jscpd miss. Use at phase checkpoints or when investigating data consistency issues.

Grade
D
Quality
62 / 100
Safety
Passed
GitHub stars
40

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 GitHubbenjaminshoemaker/ai_coding_project_base

Our review

Architecture
77 / 100
Maturity
Structured: ships references or scripts
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

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