omnichannel-foot-traffic-attribution

omnichannel-foot-traffic-attribution is a Marketing analytics & attribution skill for AI agents, published by usecompai in the compound-operations-model repository on GitHub. Skillspace rates omnichannel-foot-traffic-attribution D (60/100) and it passed the safety scan; the rating is based on static analysis only.

Cruza foot traffic Store A/Store B con Meta geo spend, GA4 city sessions y Shopify POS. Estima halo effect por tienda y recomienda redistribucion spend.

Grade
D
Quality
60 / 100
Safety
Passed
GitHub stars
20

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 GitHubusecompai/compound-operations-model

Our review

Architecture
86 / 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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