Informe de auditoría del skill
svara-multilingual Informe de auditoría.
Speak Indian, African, Asian and other non-English text naturally with Svara TTS Turbo, which covers 82 languages and switches automatically inside mixed-script text such as Hinglish (Hindi plus English). Use for Hindi, Bengali, Tamil, Telugu, Marathi, Gujarati, Kannada, Malayalam, Punjabi, Odia, Urdu, Bhojpuri, Arabic, Swahili, Yoruba, Japanese and other language TTS; for code-mixed text; for forcing a language or normalising numbers and dates; and for fixing the pronunciation of brand names and acronyms with pronunciation dictionaries.
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
Fallido30
0 estrellas de GitHub
Actividad de stars/forks
Fallido32
0 estrellas y 0 forks; la actividad de issues no está disponible en los metadatos actuales
Mantenimiento reciente
Aprobado100
9 días desde el último push
Claridad de licencia
Aprobado86
Apache-2.0
Completitud de README/SKILL.md
Aprobado94
Los metadatos incluyen suficiente contexto de uso y flujo de trabajo
Riesgo de dependencias/runtime
Advertencia46
command execution surface, external package install surface
Disponibilidad de instalación
Aprobado92
npx skills add kenpath-labs/svara-python --skill svara-multilingual
Seguridad del comando de instalación
Aprobado92
Ruta estándar de paquete o instalación en tiempo de ejecución
Superficie de permisos
Advertencia50
shell or command execution, network or browser access
Evidencia del repositorio
Aprobado86
https://github.com/kenpath-labs/svara-python/tree/3b607656ae9e9ba3fc5ae1d3f64d80eb51bb3cd4/skills/svara-multilingual
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 kenpath-labs/svara-python --skill svara-multilingual
Repositorio
88
https://github.com/kenpath-labs/svara-python/tree/3b607656ae9e9ba3fc5ae1d3f64d80eb51bb3cd4/skills/svara-multilingual
Licencia
86
Apache-2.0
Mantenimiento
100
9 días desde el último push
Revisión por IA
55
Setup details are only in the frontmatter compatibility line; the body lacks a clear 'Setup' section showing how to install the SDK and set SVARA_API_KEY.
Completitud de README/SKILL.md
94
Usable description available
Riesgo de dependencias
46
command execution surface, external package install surface
Seguridad del comando de instalación
92
Ruta estándar de paquete o instalación en tiempo de ejecución
Superficie de permisos
50
shell or command execution, network or browser access
Actividad de stars/forks
32
0 estrellas y 0 forks; la actividad de issues no está disponible en los metadatos actuales
Adopción
42
0 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
- Setup details are only in the frontmatter compatibility line; the body lacks a clear 'Setup' section showing how to install the SDK and set SVARA_API_KEY.
- No guidance on error handling, retries, rate limits, or network failures when calling the Svara API.
- No privacy note explaining that input text is sent to api.kenpathlabs.com, which matters for sensitive or confidential content.
- 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: shell or command execution, network or browser access
- GitHub adoption: 0 GitHub stars
- Stars/forks activity: 0 stars, 0 forks; issue activity unavailable in current metadata
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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