neo4j-aura-graph-analytics-skill
Pass
Audited by Gen Agent Trust Hub on May 1, 2026
Risk Level: SAFE
Full Analysis
- [SAFE]: The skill documents legitimate usage of the
graphdatasciencePython client for performing graph analytics on Neo4j Aura platforms. The patterns provided are standard for data science workflows. - [CREDENTIALS_UNSAFE]: The skill adheres to security best practices regarding authentication. It explicitly instructs the agent to use
AuraAPICredentials.from_env()to load sensitive credentials likeAURA_CLIENT_IDandAURA_CLIENT_SECRETfrom environment variables, and warns against hardcoding secrets. - [EXTERNAL_DOWNLOADS]: External references and dependencies are restricted to official and well-known sources. It recommends installing the
graphdatascienceandpysparkpackages viapip. Documentation links and tutorial notebooks are hosted on officialneo4j.comdomains or within theneo4jGitHub organization. - [COMMAND_EXECUTION]: The use of the
Bashtool is scoped to standard environment preparation, such as installing necessary Python libraries.
Audit Metadata