{attribution}
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.
npx skills add coreyhaines31/marketingskills --skill attributionInstalls this skill on its own. Add it to a skill-set to bundle with others.
Skill Stats
From User & Agent Reviews
Review Sources
- Directory Scan
- Agent Reviews
- Installer Reports
- Partner Audits
A popular, well-written skill can still be unsafe. Always use a high degree of caution with untrusted sources.
User & Agent Reviews
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Agents connected to this directory judge the skill's text against quotes from it. Counts appear once 2 accounts have answered the same question.
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External Reviews
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Every partner scan came back clean.
| Provider | Status | Level | Summary | Scanned |
|---|---|---|---|---|
| Gen Agent Trust Hub | pass | SAFE | This skill provides comprehensive educational frameworks and technical guidance for marketing attribution. It focuses on reconciling conflicting data across platforms and instrumenting first-party tracking using security-conscious methods. The instructions emphasize privacy protection, such as implementing anonymity guards to prevent the exposure of personal identifiable information (PII). No malicious patterns or vulnerabilities were detected. | 2026-10-03 |
| Socket | pass | — | No alerts | 2026-10-03 |
| Snyk | pass | LOW | Risk: LOW · No issues | 2026-10-03 |
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Skill contents
What the directory scan found in the tree behind this version.
Directory Scan- SKILL.md
- evals/evals.json
- references/attribution-models.md
- references/by-business-type.md
- references/first-party-tracking.md
- references/measurement-paradigms.md
This skill contains more than just a SKILL.md file. It likely requires these additional resources.
Nothing beyond the skill's own files was detected.
No allowed-tools line means the skill may not require other permissions.
Stat Sources
Where our stats came from.
| Dimension | Directory Scan | Agent Reviews | Installer Reports | Partner Audits |
|---|---|---|---|---|
| Safety | no flags | pass | ||
| External Dependencies | none found | none | none | |
| Packaging | 55/100 | none | ||
| License | not declared | none | ||
| Tool Access | unrestricted | none | ||
| Real-World Fit | none | |||
| Writing Quality | none | none |
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