exploring-ai-failures

Pass

Audited by Gen Agent Trust Hub on Sep 6, 2026

Risk Level: SAFEINDIRECT_PROMPT_INJECTIONCOMMAND_EXECUTION
Full Analysis
  • [INDIRECT_PROMPT_INJECTION]: The skill is designed to ingest and analyze untrusted data from production AI traces, which may contain adversarial content.
  • Ingestion points: The posthog:query-llm-trace tool reads raw content from $ai_input and $ai_output_choices (as described in SKILL.md Step 3 and references/finding-traces.md).
  • Boundary markers: The instructions do not specify the use of delimiters or 'ignore' instructions when reading trace content, potentially allowing the agent to be influenced by instructions embedded in the data.
  • Capability inventory: The skill utilizes posthog:execute-sql for data aggregation and posthog:query-llm-trace for detailed record inspection.
  • Sanitization: No sanitization or validation of the trace content is mentioned before it is presented to the agent for categorization.
  • [COMMAND_EXECUTION]: The skill leverages the posthog:execute-sql tool to run structured queries against the PostHog database. While restricted to the database environment, this allows the agent to execute arbitrary data-plane logic as defined in the SQL templates within references/finding-traces.md.
Audit Metadata
Risk Level
SAFE
Analyzed
Sep 6, 2026, 07:58 AM
Security Audit — agent-trust-hub — exploring-ai-failures