autonomous-agents
Pass
Audited by Gen Agent Trust Hub on Nov 7, 2026
Risk Level: SAFEINDIRECT_PROMPT_INJECTION
Full Analysis
- [INDIRECT_PROMPT_INJECTION]: The skill provides implementation patterns for autonomous agents that ingest and act upon untrusted external data, creating a potential surface for indirect prompt injection.
- Ingestion points: Untrusted data enters the agent context through variables such as
queryin the ReAct pattern example andgoalorobjectivein the Plan-Execute logic withinreferences/detailed-guide.md. - Boundary markers: The provided code scaffolds do not implement explicit delimiters or boundary markers (e.g., XML tags or clear 'ignore instructions' prefixes) to isolate untrusted input from the agent's core instructions.
- Capability inventory: The guide describes agents with capabilities for tool execution (
executor.execute), external API interactions (RobustAPIClient), and potentially sensitive file operations as outlined in theTASK_PERMISSIONSdictionary. - Sanitization: While the documentation conceptually recommends 'Input validation' and 'Action constraints' in the 'Guardrailed Autonomy' section, the provided code examples do not include active sanitization or filtering of the ingested content.
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