neo4j-getting-started-skill
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.
91
92%
Does it follow best practices?
Impact
90%
1.69xAverage score across 3 eval scenarios
Risky
Do not use without reviewing
Security
3 findings — 1 high severity, 2 medium severity. You should review these findings carefully before considering using this skill.
W007: Insecure credential handling detected in skill instructions
What this means
The skill handles credentials insecurely by requiring the agent to include secret values verbatim in its generated output. This exposes credentials in the agent’s context and conversation history, creating a risk of data exfiltration.
Why it was flagged
Insecure credential handling detected (high risk: 1.00). The skill explicitly instructs the agent to read and write credentials (e.g., `.env`, `aura.env`, progress.md, and to "write `.env` from user creds"), which requires the LLM to reproduce secret values verbatim into generated files or printed outputs, creating an exfiltration risk.
W011: Third-party content exposure detected (indirect prompt injection risk)
What this means
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.
Why it was flagged
Third-party content exposure detected (high risk: 0.90). The skill explicitly fetches and consumes public third‑party content as part of its required workflow (e.g., references/4-load.md shows curling raw GitHub Cypher files like https://raw.githubusercontent.com/.../movies/data/movies.cypher and piping them to cypher-shell, references/2-provision.md/provision_aura.py query the Aura REST API and openapi.json, and references/4-load.md also allows pd.read_csv() from arbitrary HTTPS URLs), so untrusted external content is read/interpreted and can directly influence tool use and actions.
W012: Unverifiable external dependency detected (runtime URL that controls agent)
What this means
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.
Why it was flagged
Potentially malicious external URL detected (high risk: 0.90). The skill's prerequisites explicitly download and run the neo4j-mcp binary at runtime via curl from https://github.com/neo4j/mcp/releases/latest/download/neo4j-mcp-${PLATFORM}-${ARCH}, which fetches a remote executable that the skill requires and will run locally.
- Repository
- neo4j-contrib/neo4j-skills
- Commit
66ed0e1
- Audited
- Security analysis
Is this your skill?
If you maintain this skill, you can claim it as your own. Once claimed, you can manage eval scenarios, bundle related skills, attach documentation or rules, and ensure cross-agent compatibility.