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-aura-graph-analytics-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-aura-graph-analytics-skill)<a href="https://agentmods.dev/skills/neo4j-contrib/neo4j-skills/neo4j-aura-graph-analytics-skill"><img src="https://agentmods.dev/badge/skills/neo4j-contrib/neo4j-skills/neo4j-aura-graph-analytics-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-aura-graph-analytics-skill"><img src="https://agentmods.dev/badge/skills/neo4j-contrib/neo4j-skills/neo4j-aura-graph-analytics-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 | $0.00189 | $0.04382 |
| Opus 5 | $0.00095 | $0.02191 |
| Sonnet 5 | $0.00038 | $0.00876 |
| Haiku 4.5 | $0.00019 | $0.00438 |
Grade A, and why
neo4j-aura-graph-analytics-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 — 436 lines — stays where its author put it; the contents beside it link to each section on GitHub.
When to Use
- Running GDS algorithms in Aura Graph Analytics GDS Sessions
- Creating
GdsSessionsor usingAuraGraphDataScience - Remote projecting connected Neo4j data with
gds.graph.project.remote(...) - Using AuraDB Cypher API projection with
{ memory: ... }or{ sessionId: ... } - Processing graph data from non-Neo4j sources (Pandas, Spark, CSV)
- On-demand / pipeline workloads — ephemeral sessions, pay per session-minute
- Full isolation from the live database during analytics
When NOT to Use
- Aura Pro with embedded GDS plugin →
neo4j-gds-skill - Self-managed Neo4j with embedded GDS plugin →
neo4j-gds-skill - Writing Cypher queries →
neo4j-cypher-skill - Snowflake Graph Analytics →
neo4j-snowflake-graph-analytics-skill
Deployment Decision Table
| Deployment | Use |
|---|---|
| AuraDB Free | this skill — max m_2GB, 1 concurrent session, unbilled |
| Aura Pro + Graph Analytics plugin enabled (lightweight exploration, shared resources) | neo4j-gds-skill |
| Aura Pro / Pro Trial + session (isolated compute) | this skill — up to 128 GB (Pro) / 8 GB (Pro Trial), 100 / 3 concurrent sessions |
| AuraDB + Python client sessions | this skill |
| AuraDB + Cypher API | this skill for AGA-specific projection/session notes; neo4j-cypher-skill for query authoring |
| Self-managed Neo4j + AGA session | this skill |
| Self-managed Neo4j + embedded plugin | neo4j-gds-skill |
| Non-Neo4j data (Pandas, Spark) | this skill (standalone mode) |
Defaults
graphdatascience >= 1.15required;>= 1.18for Spark- Prefer v2 endpoints:
gds.v2.graph.project(...),gds.v2.page_rank.*,gds.v2.graph.node_properties.* - Use snake_case parameters end-to-end; never mix v2 with camelCase params
- Use v1 if v2 endpoint missing/incompatible; label fallback
- Call
gds.v2.verify_session_connectivity()after session creation - Connected sessions: call
gds.v2.verify_db_connectivity()when source DB access required - Estimate memory before large sessions
- Set TTL; default 1h idle, max 7d
- Close session when done:
gds.delete()orsessions.delete(name)stops billing - Use
AuraAPICredentials.from_env()— never hardcode credentials
What ships with it
3 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.
- 13d ago First seen · 436 lines · 189 tokens per session scan A 719f223dafe3
neo4j-aura-graph-analytics-skill is a skill published in the GitHub repository neo4j-contrib/neo4j-skills (109 stars, last pushed 5d ago), licensed MIT. It adds 189 tokens to every session and 4,382 once invoked, about $0.0009 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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