streaming-data
Pass
Audited by Gen Agent Trust Hub on Sep 17, 2026
Risk Level: SAFE
Full Analysis
- [SAFE]: The skill provides high-quality educational content and implementation patterns for distributed systems. All code snippets are standard boilerplate for the respective technologies (KafkaJS, confluent-kafka-python, kafka-go, etc.) and do not exhibit any suspicious behaviors.\n- [INDIRECT_PROMPT_INJECTION]: The skill defines patterns for ingesting and processing data from external event streams. While this represents an untrusted data surface, it is the core functionality of the skill. Developers should implement sanitization when the agent processes event payloads that might contain instructions.\n
- Ingestion points: Ingestion logic is documented in
examples/typescript/basic-consumer.ts,examples/python/basic_consumer.py, and language-specific reference files.\n - Boundary markers: The code examples focus on functional logic and do not explicitly demonstrate the use of delimiters for data/instruction separation.\n
- Capability inventory: The skill enables subprocess-like event processing, network connectivity to brokers, and data persistence via CDC patterns.\n
- Sanitization: Not explicitly implemented in the provided code templates.
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