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 vizra-ai/vizra-adk --skill vizra-agent-creationgit clone --depth 1 https://github.com/vizra-ai/vizra-adkWrote 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/vizra-ai/vizra-adk/vizra-agent-creation)<a href="https://agentmods.dev/skills/vizra-ai/vizra-adk/vizra-agent-creation"><img src="https://agentmods.dev/badge/skills/vizra-ai/vizra-adk/vizra-agent-creation/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/vizra-ai/vizra-adk/vizra-agent-creation"><img src="https://agentmods.dev/badge/skills/vizra-ai/vizra-adk/vizra-agent-creation.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00029 | $0.01802 |
| Opus 5 | $0.00015 | $0.00901 |
| Sonnet 5 | $0.00006 | $0.00360 |
| Haiku 4.5 | $0.00003 | $0.00180 |
Grade A, and why
Vizra ADK Agent Creation 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 12d 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 — 300 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Creating Vizra ADK Agents
Vizra ADK agents are AI-powered Laravel classes that can reason, use tools, and maintain memory. All agents must extend BaseLlmAgent.
Agent Class Structure
Every agent MUST follow this structure:
<?php
namespace App\Agents;
use Vizra\VizraADK\Agents\BaseLlmAgent;
class {{ AgentName }}Agent extends BaseLlmAgent
{
/**
* Unique identifier for the agent (snake_case)
*/
protected string $name = '{{ snake_case_name }}';
/**
* Brief description of what the agent does
*/
protected string $description = '{{ description }}';
/**
* System prompt/instructions for the LLM
*/
protected string $instructions = <<<'INSTRUCTIONS'
You are a {{ role description }}.
Your capabilities include:
- {{ capability 1 }}
- {{ capability 2 }}
Guidelines:
- {{ guideline 1 }}
- {{ guideline 2 }}
INSTRUCTIONS;
/**
* LLM model to use
*/
protected string $model = 'gpt-4o';
/**
* Optional: Temperature setting (0.0 to 1.0)
*/
protected ?float $temperature = null;
/**
* Optional: Maximum tokens for response
*/
protected ?int $maxTokens = null;
/**
* Optional: Maximum steps for tool execution (default: 5)
*/
protected int $maxSteps = 5;
/**
* Tools this agent can use
*/
protected array $tools = [
// ToolClass::class,
];
}
Key Rules
-
Naming Convention:
- Class name MUST end with
Agent - The
$nameproperty must be unique and in snake_case - Place agents in
App\Agentsnamespace
- Class name MUST end with
-
Auto-Discovery:
- Agents are automatically discovered - NO registration needed
- Simply create the class and it's ready to use
-
Required Properties:
$name: Unique identifier$description: Brief description$instructions: System prompt for the LLM$model: Which LLM model to use
Common Agent Patterns
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.
- 12d ago First seen · 300 lines · 29 tokens per session scan A 56a97e849c6d
Vizra ADK Agent Creation is a skill published in the GitHub repository vizra-ai/vizra-adk (295 stars, last pushed 19d ago), licensed MIT. It adds 29 tokens to every session and 1,802 once invoked, about $0.0001 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 2026-08-30.
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