Neo4J Driver Rust
CheckedConnects Rust applications to Neo4j databases using the official Neo4j driver for robust graph data interaction.
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terminal$ npx skills add michaelkeevildown/claude-agents-skills --skill neo4j-driver-rust -a claude-code Uses the open-source
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What we know about this skill
Publisher
michaelkeevildown
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Install target
Live repository
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Automated safety checks
This skill passed all 6 checks. We read its files at one commit and looked for the things that make a skill dangerous to run — not for whether it works.
Declares what it does: passed
SKILL.md parses and declares a name and a description.
SKILL.md exists, its frontmatter parses, and it declares a name and a description.
No undeclared network calls: passed
Makes no network calls.
Every host the skill dials — from its scripts, its config endpoints or the commands it tells the agent to run — is either well-known package and API infrastructure or declared in its own frontmatter. Links in documentation are not counted.
No obfuscated payloads: passed
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No base64, hex or compressed blob is decoded and then executed, and no encoded shell commands.
No credential access: passed
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Neither the code nor the SKILL.md instructions read SSH keys, cloud credentials, keychains, token stores, browser cookie databases or dotfiles that hold secrets.
No pipe-to-shell installers: passed
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Pinned to a commit: passed
Scanned michaelkeevildown/claude-agents-skills at 053961fb8c.
The exact upstream commit SHA that was scanned is recorded, so the result refers to specific bytes.
- Commit
- 053961fb8c
- Scanned
- 1 file, 23 lines
About this skill
What it does
This skill provides Rust bindings for the Neo4j driver. It allows AI agents to connect to and interact with Neo4j graph databases, executing Cypher queries and retrieving results in a type-safe manner. The driver supports features like transaction management and result set iteration.
When to use it
- Graph Data Analysis: When your agent needs to query and analyze data stored within a Neo4j graph database for insights or decision making.
- Knowledge Graph Integration: To integrate external knowledge graphs built with Neo4j into an AI agent's reasoning process.
- Backend Data Storage: When the agent needs to persistently store information in a graph structure, such as relationships between entities.
- Complex Relationship Queries: When you need to perform queries that involve traversing complex relationships within your data.
Key capabilities
- Neo4j driver bindings for Rust
- Cypher query execution
- Transaction management
- Result set iteration
Example prompts
- "Execute the Cypher query 'MATCH (n:Person) WHERE n.name = 'Alice' RETURN n'"
- "Connect to Neo4j at [URI] with username [username] and password [password]."
- "Create a transaction and execute these Cypher queries: [query1], [query2]"
Tips & gotchas
- Requires Rust development environment.
- Ensure the Neo4j database is running and accessible from your agent's environment.