Orchestrates zero-to-running-app in 8 stages — prerequisites → context → provision → model → load → explore → query → build. Each stage reads its own reference file. Supports HITL and fully autonomous operation. Use when starting a new Neo4j project from scratch, provisioning Aura, generating synthetic data, building a notebook or app, or running the full onboarding pipeline. Time budget ≤15 min autonomous, ≤90 min HITL. Does NOT cover Cypher query authoring — use neo4j-cypher-skill. Does NOT cover driver upgrades or Cypher migration — use neo4j-migration-skill. Does NOT cover CLI/admin tasks on an existing DB — use neo4j-cli-tools-skill.
82
88%
Does it follow best practices?
Impact
90%
1.73x2 of 3 eval scenarios. Add 1 more for a full score.
Low
Low-risk findings worth noting
The skill exposes the agent to untrusted, user-generated content from public third-party sources, creating a risk of indirect prompt injection. This includes browsing arbitrary URLs, reading social media posts or forum comments, and analyzing content from unknown websites.
The skill workflow involves ingesting unstructured documents via `SimpleKGPipeline` in `references/4-load.md` and `references/capabilities/kg-from-documents.md`, which parses user-supplied text files from the local directory where outsider content can be placed.
The skill fetches instructions or code from an external URL at runtime, and the fetched content directly controls the agent’s prompts or executes code. This dynamic dependency allows the external source to modify the agent’s behavior without any changes to the skill itself.
The skill contains reference files that instruct agents to fetch and execute remote binaries via curl (`curl -fsSL "https://github.com/neo4j/mcp/releases/latest/download/neo4j-mcp-${PLATFORM}-${ARCH}"`) and remote code snippets from GitHub, which constitute weak external runtime operational dependencies.
neo4j-contrib/neo4j-skills
4555b7b
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