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 agentmods add skills/neuron-core/neuron-laravel/neuron-debuggernpx skills add neuron-core/neuron-laravel --skill neuron-debuggergit clone --depth 1 https://github.com/neuron-core/neuron-laravelWrote 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-laravel/neuron-debugger)<a href="https://agentmods.dev/skills/neuron-core/neuron-laravel/neuron-debugger"><img src="https://agentmods.dev/badge/skills/neuron-core/neuron-laravel/neuron-debugger.svg" alt="Measured on agentmods" 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 | $0.00090 | $0.02260 |
| Opus 5 | $0.00045 | $0.01130 |
| Sonnet 5 | $0.00018 | $0.00452 |
| Haiku 4.5 | $0.00009 | $0.00226 |
Grade A, and why
neuron-debugger 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 5d 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.
This is a copy
100% identical to neuron-debugger — 0 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.
How it starts
The opening of the file, as written. The whole thing — 407 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Neuron AI Debugger
This skill helps you debug and monitor Neuron AI applications using Inspector APM and the framework's observability system.
Inspector APM Integration
Inspector provides deep insights into agent execution, helping you understand:
- Why the model took certain decisions
- What data the model reacted to
- Timeline of all operations (LLM calls, tool usage, vector search)
- Performance bottlenecks and latency
Setup
- Get an Inspector account at https://inspector.dev
- Set the ingestion key in your environment:
# .env file
INSPECTOR_INGESTION_KEY=your_ingestion_key_here
- Agent execution is automatically tracked - no code changes needed!
Viewing Execution Timeline
After running an agent, visit your Inspector dashboard to see:
[AI Inference] → [Tool Call: search_database] → [AI Inference] → [Response]
↓ ↓ ↓
850ms 1.2s 920ms
Each segment shows:
- Duration and timing
- Input/output data
- Errors if any occurred
- Metadata (model used, tokens, etc.)
Event System Observability
Neuron uses a static EventBus for monitoring all framework events.
Event Emission
All components emit events automatically:
use NeuronAI\Observability\EventBus;
// Workflows emit events like:
// - 'workflow-start'
// - 'workflow-resume'
// - 'workflow-end'
// - 'workflow-node-start'
// - 'workflow-node-end'
// - 'middleware-before-start'
// - 'middleware-after-end'
// - 'tool-calling'
// - 'tool-called'
// - 'rag-retrieving'
// - 'rag-retrieved'
// - 'inference-start'
// - 'inference-end'
Custom Observers
use NeuronAI\Observability\ObserverInterface;
class CustomObserver implements ObserverInterface
{
public function handle(string $event, object $source, mixed $data): void
{
// Handle events
echo "Event: {$event}\n";
echo "Source: " . $source::class . "\n";
var_dump($data);
}
}
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.
- 5d ago First seen · 407 lines · 90 tokens per session scan A 51be460a78d0
neuron-debugger is a skill published in the GitHub repository neuron-core/neuron-laravel (119 stars, last pushed 2mo ago), licensed MIT. It adds 90 tokens to every session and 2,260 once invoked, about $0.0005 per session on Opus 5. A static security scan graded it A with 0 findings. It is 100% identical to neuron-debugger, differing in 0 lines, and is treated as a copy.
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