amazon-neptune

amazon-neptune is a skill for Claude Code, Codex from aws/agent-toolkit-for-aws. It costs 141 tokens per session (4,149 once invoked), scanned A, original, Apache-2.0.

A reference and operations guide for Amazon Neptune, a managed AWS database for storing connected data such as relationships, knowledge graphs, and fraud networks. It covers Neptune Database and Neptune Analytics, including Gremlin, openCypher, and SPARQL query languages.

In plain words
What is it for?
Use it to plan or operate Neptune databases and analytics, write graph queries, and work on fraud detection, recommendations, identity matching, or chatbot context shared across sessions.
Why use it?
It gives an agent reliable guidance for relationship-heavy data work and includes safety checks before creating or changing cloud resources. This helps avoid unsafe network settings and unconfirmed infrastructure changes.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one.

Good fit Use it to plan or operate Neptune databases and analytics, write graph queries, and work on fraud detection, recommendations, identity matching, or chatbot context shared across sessions.

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Install with agentmods
npx agentmods add skills/aws/agent-toolkit-for-aws/amazon-neptune
About the project

Agent Toolkit for AWS is a collection of AWS-supported MCP servers, skills, plugins, commands, and hooks that help AI coding agents build, deploy, and manage applications on AWS. It is used by developers working with AWS services through agents such as Claude Code, Codex, Cursor, and Kiro. The catalogue entries are the toolkit's own agent extensions for AWS development and operations.

aws/agent-toolkit-for-aws · 2,886 stars · on GitHub

Install

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.

Any agent
npx skills add aws/agent-toolkit-for-aws --skill amazon-neptune
Clone the repo
git clone --depth 1 https://github.com/aws/agent-toolkit-for-aws

Made for: Claude Code, Codex.

Wrote this? Show the measurements

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README.md
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Your own site
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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.

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Your own site · 80×15
<a href="https://agentmods.dev/skills/aws/agent-toolkit-for-aws/amazon-neptune"><img src="https://agentmods.dev/badge/skills/aws/agent-toolkit-for-aws/amazon-neptune.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 141 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 4,149 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe. Third-party audits
  • Socket pass 29 Sept 2026
  • Snyk pass 29 Sept 2026
How audits are shown
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00141 $0.04149
Opus 5.5 $0.00056 $0.01660
Sonnet 5.5 $0.00028 $0.00830
Haiku 4.5 $0.00014 $0.00415

Measured 16d ago against content hash 0a392be8afbc, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

amazon-neptune 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 16d ago.

The scan reads SKILL.md. This mod also ships 5 executable files (scripts/agentic_memory.py, scripts/cdk_test_env.py, scripts/graphrag_pipeline.py, …), listed below but not scanned — reading those needs a real analyzer, not pattern matching.

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.

skills/specialized-skills/database-skills/amazon-neptune/SKILL.md · 221 lines

How it starts

The opening of the file, as written. The whole thing — 221 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Amazon Neptune

Safety guidance

This skill covers creating and modifying Neptune resources when the user requests it. The agent MUST confirm the action with the user before executing. Do NOT execute any create or modify operation without explicit user confirmation (e.g., "yes", "proceed", "confirmed", "go ahead"). If the user has not confirmed, present the planned action and ask for approval.

Execute these operations (after user confirmation)

Neptune Database:

  • Create a cluster: create-db-cluster (requires a DB subnet group with subnets in ≥2 AZs — Neptune is deployed inside a VPC; optional public endpoints are supported with IAM auth — check the Neptune userguide "public endpoints" page for the minimum engine version). When enabling a public endpoint, ALSO scope the cluster's security-group inbound rule on port 8182 to known CIDR ranges or trusted source security groups — do NOT use 0.0.0.0/0.
  • Create an instance (add writer or reader to a cluster): create-db-instance
  • Change backup retention: modify-db-cluster --backup-retention-period
  • Enable/disable deletion protection: modify-db-cluster --deletion-protection
  • Change CloudWatch log exports: modify-db-cluster --enable-cloudwatch-logs-exports
  • Tag resources: add-tags-to-resource, remove-tags-from-resource

Neptune Analytics:

  • Create a graph: create-graph
  • Create a graph from S3 data: create-graph-using-import-task
  • Create a graph snapshot (point-in-time backup): create-graph-snapshot
  • Tag resources: tag-resource, untag-resource

Resource tagging (always apply on resource creation)

Every Neptune Database cluster/instance and Neptune Analytics graph you create MUST carry created_by=neptune-skill and generation_model={your-model-id} — even if the user never mentions tagging. Append to any tags the user supplies rather than replacing them.

The two engines use different --tags syntax:

  • Neptune Database: --tags Key=created_by,Value=neptune-skill Key=generation_model,Value={your-model-id}
  • Neptune Analytics: --tags created_by=neptune-skill,generation_model={your-model-id}

Read the full file on GitHub · 221 lines

Changes

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.

  1. 16d ago Changed · -81 lines 0a392be8afbc
  2. 1mo ago First seen · 302 lines · 141 tokens per session scan A 9f5e13fe3987

Subscribe to this mod's changes

amazon-neptune is a skill published in the GitHub repository aws/agent-toolkit-for-aws (2,886 stars, last pushed yesterday), licensed Apache-2.0. It adds 141 tokens to every session and 4,149 once invoked, about $0.0006 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 2026-09-16.

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