Informe de auditoría del skill
didit-aml-screening Informe de auditoría.
Integrate Didit AML Screening standalone API to screen individuals or companies against global watchlists. Use when the user wants to perform AML checks, screen against sanctions lists, check PEP status, detect adverse media, implement KYC/AML compliance, screen against OFAC/UN/EU watchlists, calculate risk scores, or perform anti-money laundering screening using Didit. Supports 1300+ databases, fuzzy name matching, configurable scoring weights, and continuous monitoring.
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
Advertencia48
26 estrellas de GitHub
Actividad de stars/forks
Advertencia43
26 estrellas y 4 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
Fallido36
command execution surface, credential or environment access
Disponibilidad de instalación
Aprobado92
npx skills add didit-protocol/skills --skill didit-aml-screening
Seguridad del comando de instalación
Aprobado92
Ruta estándar de paquete o instalación en tiempo de ejecución
Superficie de permisos
Fallido22
secrets or environment access, shell or command execution
Evidencia del repositorio
Aprobado86
https://github.com/didit-protocol/skills/tree/main/skills/didit-aml-screening
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 didit-protocol/skills --skill didit-aml-screening
Repositorio
88
https://github.com/didit-protocol/skills/tree/main/skills/didit-aml-screening
Licencia
86
MIT
Mantenimiento
88
2 meses desde el último push
Revisión por IA
55
The utility script `screen_aml.py` uses `hit.get('name')` and `hit.get('categories')` but the API response uses `caption` and `datasets` respectively, which may cause incorrect output formatting.
Completitud de README/SKILL.md
86
Usable description available
Riesgo de dependencias
36
command execution surface, credential or environment access
Seguridad del comando de instalación
92
Ruta estándar de paquete o instalación en tiempo de ejecución
Superficie de permisos
22
secrets or environment access, shell or command execution
Actividad de stars/forks
43
26 estrellas y 4 forks; la actividad de issues no está disponible en los metadatos actuales
Adopción
42
26 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
- Dependency or permission surface needs review
- Permission surface may require sandboxing
- Financial research output is not financial advice; require human review before any live investment decision
- The utility script `screen_aml.py` uses `hit.get('name')` and `hit.get('categories')` but the API response uses `caption` and `datasets` respectively, which may cause incorrect output formatting.
- The script does not handle cases where the `aml` key is missing from the response, which could lead to a KeyError.
- Low GitHub adoption signal
- Financial research output is not financial advice; require human review before any live investment decision.
- Quality score needs review
- Permission surface needs review: secrets or environment access, shell or command execution
- GitHub adoption: 26 GitHub stars
- Stars/forks activity: 26 stars, 4 forks; issue activity unavailable in current metadata
- Dependency/runtime risk: command execution surface, credential or environment access
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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