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-gds-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-gds-skill)<a href="https://agentmods.dev/skills/neo4j-contrib/neo4j-skills/neo4j-gds-skill"><img src="https://agentmods.dev/badge/skills/neo4j-contrib/neo4j-skills/neo4j-gds-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-gds-skill"><img src="https://agentmods.dev/badge/skills/neo4j-contrib/neo4j-skills/neo4j-gds-skill.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- Socket pass
- Snyk warn
- 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 | $0.00206 | $0.05422 |
| Opus 5.5 | $0.00082 | $0.02169 |
| Sonnet 5.5 | $0.00041 | $0.01084 |
| Haiku 4.5 | $0.00021 | $0.00542 |
Grade A, and why
neo4j-gds-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 7d 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 — 473 lines — stays where its author put it; the contents beside it link to each section on GitHub.
When to Use
- Running GDS algorithms against embedded GDS plugin through Python client (
graphdatascience) - Running GDS algorithms through
CALL gds.*Cypher procedures - Aura Pro, self-managed Neo4j, local Neo4j, or offline DBMS with GDS plugin installed
- Projecting named in-memory graphs, running centrality/community/similarity/path/embedding algorithms
- Chaining algorithms via
mutatemode; building FastRP → KNN pipelines - Writing node embeddings for Neo4j vector indexes / structural similarity search
- Memory estimation before large graph operations
When NOT to Use
- Aura Graph Analytics Sessions / AGA /
GdsSessions/AuraGraphDataScience→neo4j-aura-graph-analytics-skill - AuraDB Cypher API with
{ memory: ... }or{ sessionId: ... }→neo4j-aura-graph-analytics-skill - Cypher query authoring →
neo4j-cypher-skill - Driver/connection setup →
neo4j-driver-python-skill - GraphRAG retrieval →
neo4j-graphrag-skill - Creating/querying vector indexes over written embeddings →
neo4j-vector-index-skill
| Context | Use |
|---|---|
| Aura Pro with GDS plugin | This skill |
| Self-managed/local/offline Neo4j with GDS plugin | This skill |
| AuraDB serverless analytics session | neo4j-aura-graph-analytics-skill |
| Self-managed Neo4j attached to AGA session | neo4j-aura-graph-analytics-skill |
| Non-Neo4j data source | neo4j-aura-graph-analytics-skill |
Pre-flight
Use only with embedded GDS plugin.
from graphdatascience import GraphDataScience
gds = GraphDataScience("neo4j+s://xxx.databases.neo4j.io", auth=("neo4j", "pw")) # AuraDS; aura_ds auto-derived
gds = GraphDataScience("bolt://localhost:7687", auth=("neo4j", "password"))
print(gds.server_version())
RETURN gds.version() AS gds_version
GDS plugin unavailable: client raises GdsNotFound at construction; Cypher raises Unknown function 'gds.version'. AuraDB serverless analytics → neo4j-aura-graph-analytics-skill. Self-managed/local → install or enable GDS plugin.
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.
- 7d ago Changed 1a9d48e72851
- 12d ago Changed ffd3833fba6b
- 20d ago Changed · +4 lines · -1 tokens per session 200b4a8b740c
- 1mo ago Changed · +16 lines · +8 tokens per session 7755132c99b5
- 1mo ago Changed · +13 lines 139d5f870a55
- 1mo ago First seen · 440 lines · 199 tokens per session scan A b31d8a724a44
neo4j-gds-skill is a skill published in the GitHub repository neo4j-contrib/neo4j-skills (116 stars, last pushed yesterday), licensed MIT. It adds 206 tokens to every session and 5,422 once invoked, about $0.0008 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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