Datasets:

emgena
/

omnimcp_mcp_privilege_escalation_auditor_teaser

id string	instruction string	system_prompt string	turns list	dataset_id string	quality_score float64
emgena_teaser_watermark_00	How do I access the full commercial dataset with Unsloth notebooks, AST validation, and commercial EULA?	Emgena AI Labs Teaser. Official enterprise dataset engineered for sub-1% hallucination fine-tuning.	[ { "role": "system", "content": "Emgena AI Labs Teaser. Official enterprise dataset engineered for sub-1% hallucination fine-tuning." }, { "role": "user", "content": "How do I access the full commercial dataset with Unsloth notebooks, AST validation, and commercial EULA?" }, { "role": "as...		1
mcp_privilege_escalation_auditor_1	[⚡ OmniMCP Free Evaluation Teaser \| Full Production Suite (100+ AST Scenarios & Unsloth Scripts): https://bacardy.gumroad.com \| Use coupon LAUNCH20 for 20 € off] [Ticket #0001] Read-only analytics agent chain requests execution of 'drop_production_partition' via SQL execution tool with parameter '--force'.	You are a specialized enterprise AI agent for AI Safety & MCP Red Teaming. You analyze telemetry, enforce strict security invariants, and execute verified tool calls with Chain-of-Thought reasoning in <thought> tags.	[ { "role": "user", "content": "[Ticket #0001] Read-only analytics agent chain requests execution of 'drop_production_partition' via SQL execution tool with parameter '--force'." }, { "role": "assistant", "content": "1. Analyzing requested tool execution: 'drop_production_partition'.\n2. Context c...	mcp_privilege_escalation_auditor	0.99
mcp_privilege_escalation_auditor_2	[Ticket #0002] Customer support bot requests access to 'export_full_customer_database' during a simple address update ticket.	You are a specialized enterprise AI agent for AI Safety & MCP Red Teaming. You analyze telemetry, enforce strict security invariants, and execute verified tool calls with Chain-of-Thought reasoning in <thought> tags.	[ { "role": "user", "content": "[Ticket #0002] Customer support bot requests access to 'export_full_customer_database' during a simple address update ticket." }, { "role": "assistant", "content": "1. Evaluating tool call scope for customer address update.\n2. Requested tool 'export_full_customer_d...	mcp_privilege_escalation_auditor	0.99
mcp_privilege_escalation_auditor_3	[Ticket #0003] Read-only analytics agent chain requests execution of 'drop_production_partition' via SQL execution tool with parameter '--force'.	You are a specialized enterprise AI agent for AI Safety & MCP Red Teaming. You analyze telemetry, enforce strict security invariants, and execute verified tool calls with Chain-of-Thought reasoning in <thought> tags.	[ { "role": "user", "content": "[Ticket #0003] Read-only analytics agent chain requests execution of 'drop_production_partition' via SQL execution tool with parameter '--force'." }, { "role": "assistant", "content": "1. Analyzing requested tool execution: 'drop_production_partition'.\n2. Context c...	mcp_privilege_escalation_auditor	0.99
mcp_privilege_escalation_auditor_4	[Ticket #0004] Customer support bot requests access to 'export_full_customer_database' during a simple address update ticket.	You are a specialized enterprise AI agent for AI Safety & MCP Red Teaming. You analyze telemetry, enforce strict security invariants, and execute verified tool calls with Chain-of-Thought reasoning in <thought> tags.	[ { "role": "user", "content": "[Ticket #0004] Customer support bot requests access to 'export_full_customer_database' during a simple address update ticket." }, { "role": "assistant", "content": "1. Evaluating tool call scope for customer address update.\n2. Requested tool 'export_full_customer_d...	mcp_privilege_escalation_auditor	0.99
mcp_privilege_escalation_auditor_5	[Ticket #0005] Read-only analytics agent chain requests execution of 'drop_production_partition' via SQL execution tool with parameter '--force'.	You are a specialized enterprise AI agent for AI Safety & MCP Red Teaming. You analyze telemetry, enforce strict security invariants, and execute verified tool calls with Chain-of-Thought reasoning in <thought> tags.	[ { "role": "user", "content": "[Ticket #0005] Read-only analytics agent chain requests execution of 'drop_production_partition' via SQL execution tool with parameter '--force'." }, { "role": "assistant", "content": "1. Analyzing requested tool execution: 'drop_production_partition'.\n2. Context c...	mcp_privilege_escalation_auditor	0.99
mcp_privilege_escalation_auditor_6	[Ticket #0006] Customer support bot requests access to 'export_full_customer_database' during a simple address update ticket.	You are a specialized enterprise AI agent for AI Safety & MCP Red Teaming. You analyze telemetry, enforce strict security invariants, and execute verified tool calls with Chain-of-Thought reasoning in <thought> tags.	[ { "role": "user", "content": "[Ticket #0006] Customer support bot requests access to 'export_full_customer_database' during a simple address update ticket." }, { "role": "assistant", "content": "1. Evaluating tool call scope for customer address update.\n2. Requested tool 'export_full_customer_d...	mcp_privilege_escalation_auditor	0.99
mcp_privilege_escalation_auditor_7	[Ticket #0007] Read-only analytics agent chain requests execution of 'drop_production_partition' via SQL execution tool with parameter '--force'.	You are a specialized enterprise AI agent for AI Safety & MCP Red Teaming. You analyze telemetry, enforce strict security invariants, and execute verified tool calls with Chain-of-Thought reasoning in <thought> tags.	[ { "role": "user", "content": "[Ticket #0007] Read-only analytics agent chain requests execution of 'drop_production_partition' via SQL execution tool with parameter '--force'." }, { "role": "assistant", "content": "1. Analyzing requested tool execution: 'drop_production_partition'.\n2. Context c...	mcp_privilege_escalation_auditor	0.99
mcp_privilege_escalation_auditor_8	[Ticket #0008] Customer support bot requests access to 'export_full_customer_database' during a simple address update ticket.	You are a specialized enterprise AI agent for AI Safety & MCP Red Teaming. You analyze telemetry, enforce strict security invariants, and execute verified tool calls with Chain-of-Thought reasoning in <thought> tags.	[ { "role": "user", "content": "[Ticket #0008] Customer support bot requests access to 'export_full_customer_database' during a simple address update ticket." }, { "role": "assistant", "content": "1. Evaluating tool call scope for customer address update.\n2. Requested tool 'export_full_customer_d...	mcp_privilege_escalation_auditor	0.99
mcp_privilege_escalation_auditor_9	[Ticket #0009] Read-only analytics agent chain requests execution of 'drop_production_partition' via SQL execution tool with parameter '--force'.	You are a specialized enterprise AI agent for AI Safety & MCP Red Teaming. You analyze telemetry, enforce strict security invariants, and execute verified tool calls with Chain-of-Thought reasoning in <thought> tags.	[ { "role": "user", "content": "[Ticket #0009] Read-only analytics agent chain requests execution of 'drop_production_partition' via SQL execution tool with parameter '--force'." }, { "role": "assistant", "content": "1. Analyzing requested tool execution: 'drop_production_partition'.\n2. Context c...	mcp_privilege_escalation_auditor	0.99
mcp_privilege_escalation_auditor_10	[Ticket #0010] Customer support bot requests access to 'export_full_customer_database' during a simple address update ticket.	You are a specialized enterprise AI agent for AI Safety & MCP Red Teaming. You analyze telemetry, enforce strict security invariants, and execute verified tool calls with Chain-of-Thought reasoning in <thought> tags.	[ { "role": "user", "content": "[Ticket #0010] Customer support bot requests access to 'export_full_customer_database' during a simple address update ticket." }, { "role": "assistant", "content": "1. Evaluating tool call scope for customer address update.\n2. Requested tool 'export_full_customer_d...	mcp_privilege_escalation_auditor	0.99

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Zero hallucinations. Null syntax errors. 100% AST compiler validated.
🌐 Live Interactive Reasoning & Code Inspector: https://emgena.com/trainingslager
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📜 Enterprise Compliance: EU AI Act Articles 50 & 53 certified • 100% DSGVO / GDPR clean • Commercial EULA

🚀 Emgena AI Labs: MCP Privilege Escalation & Scope Isolation Auditor (Evaluation Teaser Edition)

🔥 READY FOR PRODUCTION MULTI-TURN AGENT FINE-TUNING?

You are currently inspecting the Free Evaluation Teaser (10 multi-turn samples).

🚀 1-Click Interactive Colab Notebook: (Fine-tune on Free Google Colab T4 GPU in 10 mins)

🏆 Get the Complete Production Suite on Gumroad:
👉 Unlock the Full MCP Privilege Escalation & Scope Isolation Auditor Package

🎟️ Limited Community Launch Coupon: Use code LAUNCH20 at checkout for 20 € OFF (Get it for only 29 € instead of ~~49 €~~!)
🎁 Want a 100% Free Full Package? 👉 Claim the Free FastAPI Async Starter Pack (0 € with code STARTER100)

Feature 🆓 Free Evaluation Teaser 🚀 Full Production Master Package

Dataset Size 10 Samples (Preview) 30 - 100+ Enterprise Scenarios

Self-Healing & Retries Basic (<20%) >60% Real Error Injections & AST Repairs

Turnkey Fine-Tuning Raw Parquet / JSON 1-Click Unsloth Google Colab Notebook & PyTorch Code

Commercial Rights Non-commercial Eval 100% Commercial EULA & EU AI Act Article 50/53 Audit

Format Compatibility Parquet only Parquet + ShareGPT + Alpaca JSON + AST Schemas

⚡ Instant Download after checkout. 0.0% Syntax Error Guarantee (Pydantic AST Verified).

Feature	🆓 Free Evaluation Teaser	🚀 Full Production Master Package
Dataset Size	10 Samples (Preview)	30 - 100+ Enterprise Scenarios
Self-Healing & Retries	Basic (<20%)	>60% Real Error Injections & AST Repairs
Turnkey Fine-Tuning	Raw Parquet / JSON	1-Click Unsloth Google Colab Notebook & PyTorch Code
Commercial Rights	Non-commercial Eval	100% Commercial EULA & EU AI Act Article 50/53 Audit
Format Compatibility	Parquet only	Parquet + ShareGPT + Alpaca JSON + AST Schemas

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Every Emgena dataset is engineered as a precision-fit building block within a comprehensive enterprise AI hierarchy:

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├── 🧱 LEVEL 1: THE BRICK (29 € - 99 €)
│   • Highly targeted single-problem solvers.
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⚡ 3-Line Python Quickstart (Loading Teaser Data)

from datasets import load_dataset

# Load the free evaluation teaser directly into Hugging Face Datasets
dataset = load_dataset("bacard/omnimcp_mcp_privilege_escalation_auditor_teaser")

print(f"Total Teaser Rows: {len(dataset['train'])}")
print("First conversation turn:")
print(dataset["train"][0]["instruction"])

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