exploring-llm-clusters
Pass
Audited by Gen Agent Trust Hub on Oct 23, 2026
Risk Level: SAFEINDIRECT_PROMPT_INJECTION
Full Analysis
- [INDIRECT_PROMPT_INJECTION]: The skill processes AI-generated cluster titles and descriptions that are stored within the PostHog events database. These strings are ingested via the
$ai_clustersproperty inSKILL.mdand are used for analysis and display. While this represents a potential attack surface for indirect prompt injection from processed LLM traffic, the skill is designed for human-in-the-loop investigation and primarily uses the data for summarization and visualization. - Ingestion points: Analyzes AI-generated metadata from
$ai_trace_clusters,$ai_generation_clusters, and$ai_evaluation_clustersevents. - Boundary markers: Not explicitly defined for property values, though SQL query results are handled through structured tools.
- Capability inventory: SQL execution (
posthog:execute-sql), trace inspection (posthog:query-llm-trace), and local result processing viascripts/print_clusters.py. - Sanitization: The
print_clusters.pyscript performs standard JSON parsing and string truncation for display purposes. - [SAFE]: All identified tools, domains (posthog.com), and resources originate from the verified vendor. The included Python script
scripts/print_clusters.pyis a utility for parsing local result files and contains no network or dangerous system calls.
Audit Metadata