Secure Data Analyst Skill Suite

Overview

Secure Data Analyst Skill Suite is a documentation skill suite based on MGC Blackbox that helps data analysts securely manage on their local machine:

• Sensitive credentials
• User-owned scripts
• Cross-team collaboration authorization
• Analysis frameworks and knowledge accumulation

This suite uses a hybrid design:

• Skill Prompts (prompts/): Provides three core capabilities - Credential Management, Script Management, Knowledge Management
• Agent System Prompt Template (agent_system_prompt.md): For building Data Analyst Agents that follow strict security boundaries

All sensitive operations require explicit user authorization. This suite does not provide any automated data access capabilities.

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Use Cases

This skill suite is suitable for:

• Enterprise internal data analysis
• Scenarios requiring sensitive data protection
• Teams needing secure script sharing
• Secure usage of vendor scripts
• Building secure data analysis Agents
• Building knowledge accumulation systems (can be combined with Self-Improving Agent)

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Prerequisites

1. Install MGC Blackbox (>=1.4.10):

   pip install mgc-blackbox
   

2. Start MGC service:

   mgc
   

3. MCP tools available: mgc_save, mgc_get, mgc_run, mgc_seal, mgc_list, mgc_find, mgc_open_webui
4. Token file: ~/.mgc/database/mgc_black_box/.mgc_token

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Core Capabilities

1. Credential Management (credential_management.md)

For securely managing database keys, API tokens, and other sensitive credentials.

Use Cases

• Need to connect to databases or external services
• Scripts need secure credential calls
• Team members need shared access (not data sharing)

Capabilities

• Local encrypted storage
• AI cannot see credential content
• Scripts can call credentials with zero exposure
• All access requires user authorization

How Agents Use This

Agents can read credentials after user authorization, but never see plaintext.

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2. Script Management (script_management.md)

For managing user's own query scripts, cleaning scripts, analysis scripts, etc.

Use Cases

• User needs to apply their own scripts
• Scripts need secure credential calls
• Scripts need cross-team collaboration (sealing)
• Need to build complete data analysis pipelines (query → cleaning → analysis)

Capabilities

• Scripts stored encrypted
• AI cannot see script content
• Scripts can call credentials with zero exposure
• Script sealing for collaboration
• All applications require user authorization

How Agents Use This

Agents apply scripts via MGC after user authorization, and can request authorization step-by-step in multi-step workflows.

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3. Knowledge Management (knowledge_management.md)

For managing knowledge assets such as analysis frameworks, prompt templates, methodologies, business rules.

Use Cases

• Building standardized analysis frameworks
• Reusing prompt templates
• Team sharing analysis methods
• Building knowledge accumulation systems
• Combining with Self-Improving Agent for automatic knowledge accumulation

Capabilities

• Knowledge content stored encrypted
• AI can read knowledge after user authorization
• Supports knowledge sealing for collaboration
• Can be used to build analysis report structures

How Agents Use This

Agents can read knowledge after user authorization and use it to guide analysis structures or generate prompts.

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Security Boundaries

This Suite Provides

• Local encrypted credential storage
• Zero-exposure application of user-owned scripts
• Script sealing and collaboration authorization
• Encrypted knowledge management

This Suite Does NOT Provide

• Automated data access
• Automated cleaning or analysis
• Automated transmission
• Script generation or modification

All scripts must be provided by the user and comply with organizational policies.

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File Structure

data-analyst-secure-suite/
├── SKILL.md                    # Main skill document (this file)
├── README.md                   # Detailed usage guide
├── manifest.json               # Skill metadata
├── agent_system_prompt.md      # Agent system prompt template
└── prompts/
    ├── credential_management.md    # Credential management
    ├── script_management.md        # Script management
    └── knowledge_management.md    # Knowledge management

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Usage

Mode 1: As a Skill (Skill Mode)

AI can read the three core documents in prompts/:

AI will reference the corresponding document based on user requests and request authorization before each sensitive operation.

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Mode 2: As an Agent Template (Agent Mode)

Configure agent_system_prompt.md as the system prompt for the AI Agent.

The Agent will automatically follow these security boundaries:

• Request user authorization before each sensitive operation
• Apply scripts only via MGC Blackbox
• Must not view script content or credentials
• Must not automatically execute workflows
• Must not auto-select script names (info_owner must be provided by user)

The Agent can reference documents in prompts/ as workflow guidance after user authorization.

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MCP Tools Reference

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Security Notes

1. Zero-exposure: Scripts and credentials execute locally, AI only receives results
2. Encrypted storage: All content stored encrypted
3. No plaintext leakage: AI never sees script or credential content
4. Script sealing: Cross-node collaboration remains encrypted

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Contact

• Issues: https://github.com/zkeviny/MGC-Blackbox/issues
• Email: mirgincipher@outlook.com

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Reminder: This skill suite is for secure workflow management. All sensitive operations require explicit user authorization. All scripts are user-owned, and all execution is completed locally via MGC Blackbox.

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