Informe de auditoría del skill
attribution-model Informe de auditoría.
Design a multi-touch attribution strategy — recommends the best-fit model for the business's sales cycle and data maturity, defines credit-distribution rules and lookback windows, maps platform-specific setup (GA4, HubSpot, Salesforce, warehouse), and documents tracking gaps and known blind spots. Triggers on \"/digital-marketing-pro:attribution-model\", \"set up multi-touch attribution\", \"which attribution model should we use\", \"configure GA4 attribution\", \"how should we credit channels for conversions\". Reads the brand profile and consumes the canonical model taxonomy in skills/funnel-architect/attribution-models.md; to run the models against real conversion data, pair with /digital-marketing-pro:attribution-report.
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
Info76
787 estrellas de GitHub
Actividad de stars/forks
Info71
787 estrellas y 132 forks; la actividad de issues no está disponible en los metadatos actuales
Mantenimiento reciente
Aprobado88
2 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
Aprobado82
database surface
Disponibilidad de instalación
Aprobado92
npx skills add indranilbanerjee/digital-marketing-pro --skill attribution-model
Seguridad del comando de instalación
Aprobado92
Ruta estándar de paquete o instalación en tiempo de ejecución
Superficie de permisos
Info74
filesystem or document access, database access
Evidencia del repositorio
Aprobado86
https://github.com/indranilbanerjee/digital-marketing-pro/tree/main/skills/attribution-model
Estado de revisión
Aprobado88
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 indranilbanerjee/digital-marketing-pro --skill attribution-model
Repositorio
88
https://github.com/indranilbanerjee/digital-marketing-pro/tree/main/skills/attribution-model
Licencia
86
MIT
Mantenimiento
88
2 meses desde el último push
Revisión por IA
88
Approved with no listed issues
Completitud de README/SKILL.md
86
Usable description available
Riesgo de dependencias
82
database surface
Seguridad del comando de instalación
92
Ruta estándar de paquete o instalación en tiempo de ejecución
Superficie de permisos
74
filesystem or document access, database access
Actividad de stars/forks
71
787 estrellas y 132 forks; la actividad de issues no está disponible en los metadatos actuales
Adopción
88
787 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
- Financial research output is not financial advice; require human review before any live investment decision.
- Quality score needs review
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.
Comparar opciones cercanas
Skills relacionados para auditar después
mono-color
Generate original one-ink or controlled two-ink editorial images from any theme, sentence, article idea, object, or reference photo. Always use this skill when the user asks for 单色海报、双色印刷、单色调视觉、蓝色/绿色孔版印刷、risograph、网点照片、复古或当代编辑排版、zine poster, monochrome editorial poster, duotone print, or asks to use the mono-color style. It uses an adaptive white, gray, or pale-beige substrate, no more than two printing inks, active negative space, terse human language, and strong serif/grotesk/mono typography without making retro styling the default or copying a source composition, wording, logo, or artwork. Produce both the final generation prompt and the generated raster image unless the user explicitly asks for prompt only.
1.9K Estrellas · Informe de auditoría
Last30days Skill
Research the last 30 days across Reddit, X, YouTube, Hacker News, Polymarket, GitHub, and the web, then synthesize a grounded brief for an AI agent.
64K Estrellas · Informe de auditoría
Academic Research Skills
Academic Research Skills for Claude Code: research → write → review → revise → finalize
38K Estrellas · Informe de auditoría