querying-posthog-data
Pass
Audited by Gen Agent Trust Hub on May 11, 2026
Risk Level: SAFENO_CODE
Full Analysis
- [INDIRECT_PROMPT_INJECTION]: The skill is designed to process untrusted data from PostHog analytics (e.g., event properties, exception messages, and LLM trace content) via SQL queries.
- Ingestion points: Results from the
posthog:execute-sqltool targeting various captured data tables such aseventsandai_events. - Boundary markers: The skill does not specify markers for query output but mitigates risks by instructing the agent in
references/example-llm-trace.mdto dump sensitive LLM data to files rather than outputting it directly into the conversation. - Capability inventory: SQL execution via
posthog:execute-sqland shell processing viabashcommands. - Sanitization: No explicit sanitization of external data content is defined before processing.
- [COMMAND_EXECUTION]: The guidelines suggest using
bashcommands likegrepto explore and process data saved to local files, which is a standard procedure for this agent's environment. - [NO_CODE]: The skill consists entirely of documentation and reference files in Markdown format; no executable scripts (e.g., Python, JavaScript) or binaries are included.
Audit Metadata