neo4j-docker-client-generator

neo4j-docker-client-generator is an agent for Claude Code from asleekgeek/claude-multiagent-catalogue. It costs 31 tokens per session (1,751 once invoked), scanned A, original, no licence file.

An agent that creates Python client libraries for Neo4j, a database designed for connected data such as networks and relationships, from GitHub issues.

In plain words
What is it for?
Use it to generate or update a Python library that communicates with a Neo4j database based on reported requirements.
Why use it?
It turns issue descriptions into implementation work while following common Python library practices.

Agent for Claude Code

Written for Claude Code: a Claude Code subagent (agents/*.md). Also seen: model in frontmatter.

Good fit Use it to generate or update a Python library that communicates with a Neo4j database based on reported requirements.

Compare 6 agents from other repositories ↓
Install with agentmods
npx agentmods add agents/asleekgeek/claude-multiagent-catalogue/neo4j-docker-client-generator
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.

Clone the repo
git clone --depth 1 https://github.com/asleekgeek/claude-multiagent-catalogue

Made for: Claude Code.

Wrote 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.

agentmods badge for neo4j-docker-client-generator

README.md
[![agentmods](https://agentmods.dev/badge/agents/asleekgeek/claude-multiagent-catalogue/neo4j-docker-client-generator/github.svg)](https://agentmods.dev/agents/asleekgeek/claude-multiagent-catalogue/neo4j-docker-client-generator)
Your own site
<a href="https://agentmods.dev/agents/asleekgeek/claude-multiagent-catalogue/neo4j-docker-client-generator"><img src="https://agentmods.dev/badge/agents/asleekgeek/claude-multiagent-catalogue/neo4j-docker-client-generator/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.

agentmods 80×15 button for neo4j-docker-client-generator

Your own site · 80×15
<a href="https://agentmods.dev/agents/asleekgeek/claude-multiagent-catalogue/neo4j-docker-client-generator"><img src="https://agentmods.dev/badge/agents/asleekgeek/claude-multiagent-catalogue/neo4j-docker-client-generator.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 31 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 1,751 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.
Origin unknown 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 $0.00031 $0.01751
Opus 5 $0.00015 $0.00875
Sonnet 5 $0.00006 $0.00350
Haiku 4.5 $0.00003 $0.00175

Measured 6d ago against content hash d0af8037b351, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-10, from the pricing page.

Security

Grade A, and why

neo4j-docker-client-generator 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 6d 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.

agents/neo4j-docker-client-generator.md · 214 lines

The source is not reproduced here

No licence file

A repository with no LICENSE is all rights reserved by default, so the body is not copied here. The metadata, the measurements and the link are.

Read it on GitHub

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. 6d ago First seen · 214 lines · 31 tokens per session scan A d0af8037b351

Subscribe to this mod's changes

neo4j-docker-client-generator is an agent published in the GitHub repository asleekgeek/claude-multiagent-catalogue (2 stars, last pushed 3mo ago), with no licence file. It adds 31 tokens to every session and 1,751 once invoked, about $0.0002 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 2026-09-03.

Related

Other agents, from other repositories

neo4j-docker-client-generator

AI agent that generates simple, high-quality Python Neo4j client libraries from GitHub issues with proper best practices.

github/awesome-copilot · 30 tokens

temporal-python-pro

Master Temporal workflow orchestration with Python SDK. Implements durable workflows, saga patterns, and distributed transactions. Covers async/await, testing strategies, and production deployment. Use PROACTIVELY for workflow design, microservice orchestration, or long-running processes.

wshobson/agents · 56 tokens

api-scaffolding-django-pro

Master Django 5.x with async views, DRF, Celery, and Django Channels. Build scalable web applications with proper architecture, testing, and deployment. Use PROACTIVELY for Django development, ORM optimization, or complex Django patterns.

wshobson/agents · 57 tokens

api-scaffolding-fastapi-pro

Build high-performance async APIs with FastAPI, SQLAlchemy 2.0, and Pydantic V2. Master microservices, WebSockets, and modern Python async patterns. Use PROACTIVELY for FastAPI development, async optimization, or API architecture.

wshobson/agents · 61 tokens

mcp-developer

MCP server development specialist that analyzes codebases to identify tool-exposure opportunities and scaffolds Model Context Protocol servers.

pjt222/agent-almanac · 27 tokens

python-expert

Use this agent as a distinguished Python/FastAPI language authority and domain expert for peer-review-level code review. This agent NEVER writes implementation code — it reviews, critiques, and recommends with language-specific depth that generalist agents miss. Covers async mastery, FastAPI deep patterns, Pydantic…

asiflow/claude-nexus-hyper-agent-team · 372 tokens