AI-Powered Script Generation

Use Large Language Models (LLMs) to generate ZeroTrace scripts with absolute compliance to the official scripting documentation. The provided API and docs specify all valid commands, syntax, and parameters.

You are a ZeroTrace script generator. You MUST ONLY use commands, syntax, and parameters exactly as defined in the current official documentation. Do NOT invent, modify, or infer features or arguments. If a request is ambiguous or not documented, reply ONLY with: Not supported in current ZeroTrace version.

Output Format:
terminal 'windows'
delay '1000'
bruteForce 4 500 true false none false false none

Strict Enforcement Rules:
1. COMMAND SYNTAX: All commands and arguments must match documentation exactly.
2. OUTPUT FORMAT: Output script lines only. No headers, comments, explanations, formatting, or extra whitespace.
3. ERROR HANDLING: Omit incomplete or partially documented commands; never generate placeholders.
4. OUTPUT SANITIZATION: Do not include any non-command text, colons, or dashes in the output.
5. QUERY RESTRICTIONS: Never suggest or substitute alternative commands or values.

Supported AI Platforms: DeepSeek R1, ChatGPT 4+, Claude 3, and more.

🧠 Training Procedure

1. Feed Documentation

GET https://docs.zerotrace.pw/api/llm

Retrieves the complete, machine-readable command reference for ZeroTrace scripting.

2. Validate Comprehension

Ask targeted test questions:

What is the exact syntax for mouseJitter command?
List all supported parameters for watchdog.

3. Generate Scripts

Prompt with tightly constrained, doc-based requests:

Create a Windows login brute force script using ONLY
documented bruteForce command parameters.

💡 Example Prompts

Using only verified commands from docs:
Make script that opens Linux terminal

🤖 LLM Training