neo4j-aura-graph-analytics-skill
Pass
Audited by Gen Agent Trust Hub on May 20, 2026
Risk Level: SAFE
Full Analysis
- [SAFE]: The skill provides instructions for authenticating with Neo4j Aura using environment variables (e.g., AURA_CLIENT_ID, AURA_CLIENT_SECRET), which is a recommended security practice to avoid hardcoding credentials.
- [EXTERNAL_DOWNLOADS]: The skill recommends installing the 'graphdatascience' and 'pandas' Python packages. These are standard, well-known libraries in the data science and graph analytics ecosystem.
- [COMMAND_EXECUTION]: Instructions include using 'pip' for package management and 'Bash' for environment setup, which are standard developer operations for the described use case.
- [DATA_EXFILTRATION]: No suspicious data exfiltration patterns were detected. The network operations described are limited to connecting to official Neo4j Aura services and fetching documentation from trusted domains like 'neo4j.com' and 'github.com/neo4j'.
- [PROMPT_INJECTION]: No evidence of prompt injection or instructions attempting to override agent safety protocols was found.
Audit Metadata