
Worked on the block/goose repository to enhance the reliability of prompt injection detection metrics. Addressed export failures to Datadog by switching metric logging from gauges to counters and implementing log sanitization to remove problematic payloads. This technical approach improved the stability of metric export pipelines and reduced false positives in security monitoring. Leveraged skills in Rust, Go, and observability best practices to deliver targeted instrumentation changes, aligning with modern metrics and logging standards. The result was more accurate and reliable incident detection, providing higher confidence in prompt-injection signals and strengthening alerting across dashboards for improved operational security.
November 2025 (block/goose): Delivered reliability improvements for prompt injection metrics by switching logging from gauges to counters and sanitizing explanations to prevent Datadog export errors. This reduces metric export failures, improves data quality for security monitoring, and strengthens alerting stability across dashboards.
November 2025 (block/goose): Delivered reliability improvements for prompt injection metrics by switching logging from gauges to counters and sanitizing explanations to prevent Datadog export errors. This reduces metric export failures, improves data quality for security monitoring, and strengthens alerting stability across dashboards.

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