Informe de auditoría del skill
attribution Informe de auditoría.
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.
Trust Score de OpenAgentSkill
Trust Score de OpenAgentSkill
The Trust Score helps an agent decide whether a skill is safe enough to shortlist before installation.
Adopción en GitHub
Aprobado100
47K estrellas de GitHub
Actividad de stars/forks
Aprobado100
47K estrellas y 7.3K forks; la actividad de issues no está disponible en los metadatos actuales
Mantenimiento reciente
Aprobado88
1 meses desde el último push
Claridad de licencia
Aprobado86
MIT
Completitud de README/SKILL.md
Aprobado86
Los metadatos incluyen suficiente contexto de uso y flujo de trabajo
Riesgo de dependencias/runtime
Aprobado90
No hay indicios importantes de riesgo de dependencias en los metadatos públicos
Disponibilidad de instalación
Aprobado92
npx skills add coreyhaines31/marketingskills --skill attribution
Seguridad del comando de instalación
Aprobado92
Ruta estándar de paquete o instalación en tiempo de ejecución
Superficie de permisos
Aprobado100
No hay superficie de permisos de alto riesgo en los metadatos públicos
Evidencia del repositorio
Aprobado86
https://github.com/coreyhaines31/marketingskills/tree/main/skills/attribution
Estado de revisión
Info66
Hay datos de revisión por IA disponibles
Resultados comprobados por Agent
Info54
Aún no hay datos de resultados del Agent
Comprobaciones
Revisión de instalación y adopción
Ruta de instalación
92
npx skills add coreyhaines31/marketingskills --skill attribution
Repositorio
88
https://github.com/coreyhaines31/marketingskills/tree/main/skills/attribution
Licencia
86
MIT
Mantenimiento
88
1 meses desde el último push
Revisión por IA
55
No security concerns identified; skill is purely informational and does not execute code or access sensitive data.
Completitud de README/SKILL.md
86
Usable description available
Riesgo de dependencias
90
No hay indicios importantes de riesgo de dependencias en los metadatos públicos
Seguridad del comando de instalación
92
Ruta estándar de paquete o instalación en tiempo de ejecución
Superficie de permisos
100
No hay superficie de permisos de alto riesgo en los metadatos públicos
Actividad de stars/forks
100
47K estrellas y 7.3K forks; la actividad de issues no está disponible en los metadatos actuales
Adopción
88
47K estrellas de GitHub
Financial decision safety
58
Research-only use: do not treat output as financial advice or execute a position without human approval.
Advertencias
- Financial research output is not financial advice; require human review before any live investment decision
- No security concerns identified; skill is purely informational and does not execute code or access sensitive data.
- SKILL.md excerpt is truncated in the review, but the provided content is well-structured and complete enough to assess.
- Financial research output is not financial advice; require human review before any live investment decision.
Método
This report combines public metadata, AI review output, repository freshness, install readiness, OpenAgentSkill events, quality scoring, trust checks, and the agent safety gate. It is not a full source-code security review.
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