azure-monitor-ingestion-py

Pass

Audited by Gen Agent Trust Hub on Sep 16, 2026

Risk Level: SAFEINDIRECT_PROMPT_INJECTIONCOMMAND_EXECUTION
Full Analysis
  • [Indirect Prompt Injection Surface]: The skill demonstrates the ingestion and processing of data from local sources such as logs.json. While this is standard for a logging tool, it represents a potential surface where untrusted data could influence agent behavior if processed further without strict boundaries.
  • Ingestion points: The Upload from JSON File section in SKILL.md reads data directly from logs.json.
  • Boundary markers: The provided code examples do not explicitly implement delimiters or specific instructions to ignore embedded commands within the log data.
  • Capability inventory: The skill utilizes network capabilities via the LogsIngestionClient.upload method to send data to Azure Monitor endpoints.
  • Sanitization: No explicit sanitization or validation logic is included in the examples for the ingested log content.
  • [Command Execution]: The installation instructions utilize pip install to manage dependencies. These dependencies, specifically azure-monitor-ingestion and azure-identity, are well-known packages provided by the service vendor and are used within the scope of their intended functionality.
Audit Metadata
Risk Level
SAFE
Analyzed
Sep 16, 2026, 02:51 PM
Security Audit — agent-trust-hub — azure-monitor-ingestion-py