Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx skills add neo4j-contrib/neo4j-skills --skill neo4j-graphrag-skillgit clone --depth 1 https://github.com/neo4j-contrib/neo4j-skillsWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/skills/neo4j-contrib/neo4j-skills/neo4j-graphrag-skill)<a href="https://agentmods.dev/skills/neo4j-contrib/neo4j-skills/neo4j-graphrag-skill"><img src="https://agentmods.dev/badge/skills/neo4j-contrib/neo4j-skills/neo4j-graphrag-skill/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/skills/neo4j-contrib/neo4j-skills/neo4j-graphrag-skill"><img src="https://agentmods.dev/badge/skills/neo4j-contrib/neo4j-skills/neo4j-graphrag-skill.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- Socket pass
- Snyk pass
- NVIDIA SkillSpector pass
What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00230 | $0.04543 |
| Opus 5.5 | $0.00092 | $0.01817 |
| Sonnet 5.5 | $0.00046 | $0.00909 |
| Haiku 4.5 | $0.00023 | $0.00454 |
Grade A, and why
neo4j-graphrag-skill scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 21d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
How it starts
The opening of the file, as written. The whole thing — 469 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Neo4j GraphRAG Skill
When to Use
- Building GraphRAG retrieval pipelines with
neo4j-graphragPython package - Choosing between VectorRetriever, HybridRetriever, VectorCypherRetriever, HybridCypherRetriever
- Writing
retrieval_queryCypher fragments for graph-augmented context - Wiring retriever + LLM into a
GraphRAGpipeline - Using LLM-routed multi-retriever with
ToolsRetriever - Debugging low retrieval quality
- Integrating Neo4j with LangChain, LlamaIndex, or Haystack
When NOT to Use
- KG construction from documents →
neo4j-document-import-skill - Plain vector/semantic search without graph traversal →
neo4j-vector-index-skill - Hybrid search that combines vector with fulltext or other ranked sources →
neo4j-vector-index-skill - GDS algorithms (PageRank, Louvain, node embeddings) →
neo4j-gds-skill - Agent long-term memory →
neo4j-agent-memory-skill - Writing raw Cypher queries →
neo4j-cypher-skill
Retriever Selection
Has fulltext index?
YES → Hybrid variants (HybridRetriever / HybridCypherRetriever)
NO → Vector variants (VectorRetriever / VectorCypherRetriever)
Need graph traversal after vector lookup?
YES → Cypher variants (VectorCypherRetriever / HybridCypherRetriever)
NO → plain variants
Natural-language-to-Cypher? → Text2CypherRetriever (no embedder needed)
LLM should route between retrievers? → ToolsRetriever
Vectors stored in external DB? → WeaviateNeo4jRetriever / PineconeNeo4jRetriever / QdrantNeo4jRetriever
| Retriever | Vector | Fulltext | Graph | Best For |
|---|---|---|---|---|
VectorRetriever |
✓ | — | — | Baseline semantic search |
HybridRetriever |
✓ | ✓ | — | Better recall, no graph expansion |
VectorCypherRetriever |
✓ | — | ✓ | GraphRAG without fulltext |
HybridCypherRetriever |
✓ | ✓ | ✓ | Production GraphRAG — default |
Text2CypherRetriever |
— | — | ✓ | NL→Cypher, no embedder |
ToolsRetriever |
varies | varies | varies | LLM-routed multi-retriever |
WeaviateNeo4jRetriever |
✓ | — | ✓ | Vectors in Weaviate |
PineconeNeo4jRetriever |
✓ | — | ✓ | Vectors in Pinecone |
QdrantNeo4jRetriever |
✓ | — | ✓ | Vectors in Qdrant |
What ships with it
6 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 21d ago Changed · -142 lines 59c40acb6feb
- 27d ago Changed · +55 lines · +2 tokens per session 233ab40cca9e
- 1mo ago First seen · 556 lines · 228 tokens per session scan A 32650c249a8e
neo4j-graphrag-skill is a skill published in the GitHub repository neo4j-contrib/neo4j-skills (116 stars, last pushed yesterday), licensed MIT. It adds 230 tokens to every session and 4,543 once invoked, about $0.0009 per session on Opus 5.5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
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