neuron-agent

neuron-agent is a skill for Claude Code, Codex from neuron-core/neuron-laravel. It costs 48 tokens per session (5,666 once invoked), scanned A, a copy of neuron-agent, MIT.

A PHP guide for creating and extending Neuron AI agents. It covers model providers, tools, chat history, memory, and custom workflow steps.

In plain words
What is it for?
Use it to build Neuron agents, connect them to AI providers, add tools and memory, and customize their input and output flow.
Why use it?
It gives you a consistent way to configure an agent and control how a conversation starts, runs, and continues after tool results or approvals.

Skill for Claude CodeCodex

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

Good fit Use it to build Neuron agents, connect them to AI providers, add tools and memory, and customize their input and output flow.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/neuron-core/neuron-laravel/neuron-agent
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 neuron-core/neuron-laravel --skill neuron-agent
Clone the repo
git clone --depth 1 https://github.com/neuron-core/neuron-laravel

Made for: Claude Code, Codex.

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 neuron-agent

README.md
[![agentmods](https://agentmods.dev/badge/skills/neuron-core/neuron-laravel/neuron-agent/github.svg)](https://agentmods.dev/skills/neuron-core/neuron-laravel/neuron-agent)
Your own site
<a href="https://agentmods.dev/skills/neuron-core/neuron-laravel/neuron-agent"><img src="https://agentmods.dev/badge/skills/neuron-core/neuron-laravel/neuron-agent/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 neuron-agent

Your own site · 80×15
<a href="https://agentmods.dev/skills/neuron-core/neuron-laravel/neuron-agent"><img src="https://agentmods.dev/badge/skills/neuron-core/neuron-laravel/neuron-agent.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 48 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 5,666 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 91% copy Near-identical to another mod 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 $0.00048 $0.05666
Opus 5.5 $0.00019 $0.02266
Sonnet 5.5 $0.00010 $0.01133
Haiku 4.5 $0.00005 $0.00567

Measured 15d ago against content hash defafdc1d27a, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

neuron-agent 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 15d 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.

Origin

This is a copy

91% identical to neuron-agent — 185 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.

resources/boost/skills/neuron-agent/SKILL.md · 532 lines

How it starts

The opening of the file, as written. The whole thing — 532 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Neuron AI Agent

Agent is a composition built on Workflow. Extend it when its defaults fit, use its entry/exit hooks for additional stages, or compose a Workflow from the standalone components when control flow differs substantially. This skill covers the current major-version APIs; use the implementation's class names and signatures rather than older examples.

Use Agent::submitApprovalDecisions($decisions) for tool approval and Agent::submitToolResults($results) for deferred tool results. Both accept maps keyed by tool call ID and stage a continuation; finish with run() for an AgentState or events() for a stream.

Core Agent Structure

A Neuron agent extends the Agent class and implements key methods:

use NeuronAI\Agent\Agent;
use NeuronAI\Chat\Messages\SystemMessage;
use NeuronAI\Chat\Messages\UserMessage;
use NeuronAI\Providers\AIProviderInterface;
use NeuronAI\Providers\Anthropic\Anthropic;

class MyAgent extends Agent
{
    protected function provider(): AIProviderInterface
    {
        return new Anthropic(
            key: $_ENV['ANTHROPIC_API_KEY'],
            model: $_ENV['ANTHROPIC_MODEL'],
        );
    }

    protected function instructions(): SystemMessage|string
    {
        return new SystemMessage("You are a helpful AI assistant.");
    }
}

Workflow Boundaries and Custom Nodes

The default path is:

AgentStartEvent → AgentStartNode → inference ⇄ tools
    final response → AgentOutputEvent → AgentEndNode → StopEvent

ChatNode handles chat and streaming; StructuredOutputNode handles structured inference. Tools may pause for approval or deferred results before returning to inference. AgentOutputEvent means the final answer is available for output processing; it is not a terminal event.

  • nodes() rebuilds the graph from the current configuration each execution segment. entryNodes() defaults to AgentStartNode; exitNodes() defaults to AgentEndNode.
  • A node's __invoke(EventType $event, AgentState $state) receives one exact routed event type. addNode() registers a handler; array order does not connect nodes, and duplicate handlers are rejected.
  • For preprocessing, override startEvent() with an AgentStartEvent subclass, register a node for it in entryNodes(), and return the original AgentStartEvent to retain parent::entryNodes(). This keeps request initialization and tool-run resets in AgentStartNode. Replacing that initialization entirely requires handling those responsibilities yourself.
  • For postprocessing, override exitNodes() with a node accepting AgentOutputEvent. Return an application event to continue through another node, or StopEvent to finish. Replace the default ending: including parent::exitNodes() alongside another output handler creates a duplicate.
  • AgentState::$request holds instructions, messages, tools, and run options. Events route execution; collaborators such as providers and history remain node dependencies. getMessage() reads the provider response, while extra artifacts can use state keys.

Read the full file on GitHub · 532 lines

Files

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.

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. 15d ago First seen · 532 lines · 48 tokens per session scan A defafdc1d27a

Subscribe to this mod's changes

neuron-agent is a skill published in the GitHub repository neuron-core/neuron-laravel (122 stars, last pushed 16d ago), licensed MIT. It adds 48 tokens to every session and 5,666 once invoked, about $0.0002 per session on Opus 5.5. A static security scan graded it A with 0 findings. It is 91% identical to neuron-agent, differing in 185 lines, and is treated as a copy.