Neuron AI is a PHP framework for building AI applications in which agents connect language models, tools, data loaders, vector databases, memory, and user interfaces. PHP developers use it to create and manage applications with agent workflows, multi-agent coordination, streaming, monitoring, and human involvement.
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 neuron-core/neuron-ai --skill neuron-toolgit clone --depth 1 https://github.com/neuron-core/neuron-aiWrote 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/neuron-core/neuron-ai/neuron-tool)<a href="https://agentmods.dev/skills/neuron-core/neuron-ai/neuron-tool"><img src="https://agentmods.dev/badge/skills/neuron-core/neuron-ai/neuron-tool/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/neuron-core/neuron-ai/neuron-tool"><img src="https://agentmods.dev/badge/skills/neuron-core/neuron-ai/neuron-tool.svg" alt="Reviewed on agentmods" width="80" height="20"></a>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 | $0.00106 | $0.06790 |
| Opus 5.5 | $0.00042 | $0.02716 |
| Sonnet 5.5 | $0.00021 | $0.01358 |
| Haiku 4.5 | $0.00011 | $0.00679 |
Grade A, and why
neuron-tool 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 11d 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 — 943 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Neuron AI Tool
This skill helps you create custom tools, toolkits, and MCP integrations for Neuron AI agents.
Core Concepts
Tools give agents the ability to:
- Execute actions (API calls, database queries, file operations)
- Retrieve information (web search, data lookup)
- Interact with external systems
Every tool has:
- Name: Unique identifier
- Description: Explains what the tool does (critical for LLM)
- Properties: Input parameters with types and descriptions
__invoke(): The actual logic to run — returns aToolOutput(default), or a plain string/array
Creating Custom Tools
Method 1: Extend Tool Class with __invoke
The cleanest approach for complex tools:
use NeuronAI\Tools\Tool;
use NeuronAI\Tools\ToolOutput;
use NeuronAI\Tools\ToolProperty;
use NeuronAI\Tools\PropertyType;
class WeatherTool extends Tool
{
protected string $name = 'get_weather';
protected ?string $description = 'Get the current weather for a location. Returns temperature, conditions, and humidity.';
protected function properties(): array
{
return [
ToolProperty::make(
name: 'location',
type: PropertyType::STRING,
description: 'The city and country, e.g., "Paris, France"',
required: true
),
ToolProperty::make(
name: 'units',
type: PropertyType::STRING,
description: 'Temperature units: "celsius" or "fahrenheit"',
required: false,
enum: ['celsius', 'fahrenheit']
),
];
}
public function __invoke(string $location, string $units = 'celsius'): ToolOutput
{
// Your API call or logic here
$weatherData = $this->fetchWeather($location, $units);
return ToolOutput::text(json_encode($weatherData));
}
private function fetchWeather(string $location, string $units): array
{
// Implementation...
return [
'location' => $location,
'temperature' => 22,
'units' => $units,
'conditions' => 'sunny',
];
}
}
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.
- 11d ago Changed · +11 lines a1e44d88602a
- 15d ago First seen · 932 lines · 106 tokens per session scan A 23e955d20ce1
neuron-tool is a skill published in the GitHub repository neuron-core/neuron-ai (2,140 stars, last pushed yesterday), licensed MIT. It adds 106 tokens to every session and 6,790 once invoked, about $0.0004 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 2026-10-01.
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