attribution
attribution is a Marketing analytics & attribution skill for AI agents, published by coreyhaines31 in the marketingskills repository on GitHub. Skillspace rates attribution D (65/100) and it passed the safety scan; a judge model has also reviewed it.
When the user wants to figure out which marketing actually drives conversions and revenue, choose or interpret an attribution model, or reconcile conflicting numbers across tools. Also use when the user mentions "attribution," "attribution model," "first-touch vs last-touch," "multi-touch," "which channel drives revenue," "what's my real CAC," "my dashboards disagree," "Google/Meta says X but GA says Y," "media mix model," "MMM," "incrementality," "geo lift," "holdout test," "how did you hear about us," "self-reported attribution," "dark social," or wants to instrument attribution themselves — "stitch my bookings to their source," "SavvyCal/Calendly attribution," "close the identify gap," "track conversions on a third-party domain," "first-party / self-hosted attribution." For event tracking setup and UTMs, see analytics. For ad-platform pixels/CAPI, see ads. For pipeline and CRM revenue reporting, see revops. For the AI-search attribution blind spot, see ai-seo.
- Grade
- D
- Quality
- 65 / 100
- Safety
- Passed
- GitHub stars
- 49,936
Placed #4 of 6 in the judged category final for Marketing analytics & attribution.
This rating describes the version of the repository we crawled; it may have changed since, so go by its current files.
Our review
- Architecture
- 94 / 100
- Maturity
- Basic: a single SKILL.md
- Security scan
- No issues found
- License
- Not declared. Check the repository before reusing it.
Judge review
Placed #4 of 6 in the judged category final for Marketing analytics & attribution.
- Trigger
90 90 - Instructions
82 82 - Specificity
82 82 - Safety
90 90 - Disclosure
60 60 - Maintenance
68 68
Unusually candid that every model is an opinion and backs it with a genuinely useful lying-direction table, but it reads as one long file with no reference-file offload visible.
Not checked yet
- Category is a classifier prediction; no model has read this skill yet
- 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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