ai-observability-langfuse
Pass
Audited by Gen Agent Trust Hub on Apr 7, 2026
Risk Level: SAFE
Full Analysis
- [SAFE]: The skill exclusively uses official packages from the Langfuse and OpenTelemetry organizations, ensuring a high level of trust and security.
- [SAFE]: Security-centric instructions are provided to mandate the use of environment variables for API keys and to prevent the hardcoding of secrets in source code.
- [DATA_EXFILTRATION]: The skill provides explicit patterns for implementing data masking processors to redact sensitive information such as credit card numbers and email addresses before they are sent to external observability servers.
- [EXTERNAL_DOWNLOADS]: Clear instructions are provided for installing required NPM packages (@langfuse/tracing, @langfuse/otel, @opentelemetry/sdk-node, @langfuse/openai, @langfuse/client) from the official registry.
- [SAFE]: The documentation includes critical requirements and reminders that enforce secure configuration and proper resource management, such as explicit flushing of telemetry data in short-lived processes.
Audit Metadata