agent-pagerank-analyzer

Pass

Audited by Gen Agent Trust Hub on Sep 15, 2026

Risk Level: SAFEINDIRECT_PROMPT_INJECTIONDYNAMIC_EXECUTION
Full Analysis
  • [INDIRECT_PROMPT_INJECTION]: The skill is designed to process external graph datasets such as adjacency matrices and social network structures which could potentially contain malicious instructions embedded within node or edge data.
  • Ingestion points: Adjacency data passed to mcp__sublinear-time-solver__pageRank and mcp__sublinear-time-solver__analyzeMatrix in SKILL.md.
  • Capability inventory: The skill has the ability to execute code via mcp__flow-nexus__sandbox_execute.
  • Boundary markers: No explicit markers or instructions to ignore embedded content are provided in the ingestion logic.
  • Sanitization: No sanitization logic for graph data labels or properties is described.
  • [DYNAMIC_EXECUTION]: The skill demonstrates the generation and execution of Python code at runtime using the mcp__flow-nexus__sandbox_execute tool for distributed graph processing tasks as shown in the integration examples in SKILL.md.
Audit Metadata
Risk Level
SAFE
Analyzed
Sep 15, 2026, 11:37 AM
Security Audit — agent-trust-hub — agent-pagerank-analyzer