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-modeling-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-modeling-skill)<a href="https://agentmods.dev/skills/neo4j-contrib/neo4j-skills/neo4j-modeling-skill"><img src="https://agentmods.dev/badge/skills/neo4j-contrib/neo4j-skills/neo4j-modeling-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-modeling-skill"><img src="https://agentmods.dev/badge/skills/neo4j-contrib/neo4j-skills/neo4j-modeling-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 | $0.00152 | $0.03867 |
| Opus 5 | $0.00076 | $0.01934 |
| Sonnet 5 | $0.00030 | $0.00773 |
| Haiku 4.5 | $0.00015 | $0.00387 |
Grade A, and why
neo4j-modeling-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 13d 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 — 362 lines — stays where its author put it; the contents beside it link to each section on GitHub.
When to Use
- Designing graph model from scratch (domain → nodes, rels, props)
- Reviewing existing model for anti-patterns
- Deciding node vs property vs relationship vs label
- Migrating relational or document schema to graph
- Designing intermediate nodes for n-ary or complex relationships
- Detecting and mitigating supernode / high-fanout problems
- Choosing and creating constraints + indexes for a model
When NOT to Use
- Writing or optimizing Cypher →
neo4j-cypher-skill - Spring Data Neo4j (@Node, @Relationship) →
neo4j-spring-data-skill - GraphQL type definitions →
neo4j-graphql-skill - Importing data (LOAD CSV, APOC import) →
neo4j-import-skill
Inspect Before Designing
On existing database, run first — never propose changes without current state:
CALL db.schema.visualization() YIELD nodes, relationships RETURN nodes, relationships;
SHOW CONSTRAINTS YIELD name, type, labelsOrTypes, properties RETURN name, type, labelsOrTypes, properties;
SHOW INDEXES YIELD name, type, labelsOrTypes, state WHERE state = 'ONLINE' RETURN name, type, labelsOrTypes;
If APOC available:
CALL apoc.meta.schema() YIELD value RETURN value;
MCP tool map:
| Operation | Tool |
|---|---|
| Inspect schema | get-schema |
SHOW CONSTRAINTS, SHOW INDEXES |
read-cypher |
CREATE CONSTRAINT ... IF NOT EXISTS |
write-cypher (show + confirm first) |
Defaults — Apply to Every Model
- Use-case first — list 5+ queries the model must answer before designing
- Nodes = entities (nouns) with identity; rels = connections (verbs) with direction
- Labels PascalCase; rel types SCREAMING_SNAKE_CASE; properties camelCase
- Every node type used in MERGE has a uniqueness constraint on its key property
- Add property type constraints (
REQUIRE n.prop IS :: STRING) where the type is known — helps the query planner and catches bad writes early - No generic labels (
:Entity,:Node,:Thing); no generic rel types (:RELATED_TO,:HAS) - Security labels (used for row-level access control) should start with a common prefix (e.g.
Sec) so application code can reliably filter them out of the domain schema - Rel direction encodes semantic meaning — not arbitrary
- Inspect schema before proposing any change on an existing database
- All constraint/index DDL uses
IF NOT EXISTS— safe to rerun - On Neo4j 2026.06+ (Enterprise/Aura, GA): declare the full model in one block with
ALTER CURRENT GRAPH TYPE SET { … }, extend it withALTER CURRENT GRAPH TYPE ADD { … }, instead of individualCREATE CONSTRAINTstatements — seeneo4j-cypher-skill/references/graph-type.md. On 2026.02–2026.05 the same syntax is preview.
What ships with it
1 file 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.
- 13d ago First seen · 362 lines · 152 tokens per session scan A d8b1a2d5acf2
neo4j-modeling-skill is a skill published in the GitHub repository neo4j-contrib/neo4j-skills (109 stars, last pushed 5d ago), licensed MIT. It adds 152 tokens to every session and 3,867 once invoked, about $0.0008 per session on Opus 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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