PurpleTeam-CodeWorkbench

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@@ -17,7 +17,7 @@ thumbnail: >-
   https://cdn-uploads.huggingface.co/production/uploads/67c714e90b99a2332e310979/L02-prFfHa7eBZGVf4uvR.jpeg
 ---
-Purple Team Code Workbench
 <p align="center">
   <img src="https://cdn-uploads.huggingface.co/production/uploads/67c714e90b99a2332e310979/L02-prFfHa7eBZGVf4uvR.jpeg" width="720" alt="Purple Team Code Workbench Banner"/>
@@ -34,40 +34,53 @@ Purple Team Code Workbench
 ⸻
-Overview
 Purple Team Code Workbench is a Streamlit-based operational interface designed for structured, scope-aware security engineering workflows.
 The platform focuses on:
-* Authorized assessment workflows
-* Defensive and adversarial simulation support
-* Code generation for security operations
-* Evidence handling and finding management
-* Prompt-assisted workflow acceleration
-* Report artifact generation
-* Research and analysis augmentation
 The system is intentionally structured around controlled workflows rather than unrestricted autonomous execution. Because the internet already contains enough entropy generators wearing hoodies and calling themselves “operators.”
-⸻
-Core Design Principles
-Scope-First Architecture
 Every workflow begins with explicit authorization and target definition.
 The system is designed to reduce:
-* accidental scope drift
-* unsafe automation
-* uncontrolled execution paths
-* ambiguous operational state
-⸻
-Human-in-the-Loop Control
 The workbench assists analysts and engineers rather than replacing operational judgment.
@@ -75,258 +88,232 @@ Generation ≠ execution.
 All generated output should be reviewed before use.
-⸻
-Evidence-Centric Workflow
 Outputs are treated as operational artifacts:
-* findings
-* prompts
-* code snippets
-* reports
-* remediation notes
-* validation records
 The system emphasizes traceability and reproducibility over “magic AI behavior.”
 A tragically rare design choice in 2026.
-⸻
-Features
-Current Capabilities
-* Streamlit-based UI
-* Scope-gated workflow controls
-* Security code generation surface
-* Passive recon helpers
-* Structured findings management
-* Markdown report export
-* Multi-model workflow support
-* Hugging Face Space deployment compatibility
-⸻
-Planned Capabilities
-* Agent orchestration
-* Prompt chaining
-* Workflow templates
-* Typed finding schemas
-* Evidence graphing
-* Drift-aware execution state
-* Multi-provider inference routing
-* Report diff/version tracking
-* Local LLM runtime support
-* LangGraph integration
-* MCP-compatible tool surfaces
-⸻
-Supported Models
 Current configured models:
-Model	Purpose
-HauhauCS/Gemma-4-E4B-Uncensored-HauhauCS-Aggressive	Experimental coding and reasoning
-DeepHat/DeepHat-V1-7B	Security-oriented generation workflows
-llama3-8b-8192	General-purpose assistant workflows
 Model availability depends on provider access and deployment configuration.
-⸻
-Repository Structure
-.
-├── app.py
-├── requirements.txt
-├── README.md
-├── assets/
-├── workflows/
-├── prompts/
-├── reports/
-├── utils/
-└── components/
 Recommended modularization:
-Directory	Purpose
-workflows/	Workflow orchestration logic
-prompts/	Prompt templates and chains
-reports/	Generated report artifacts
-utils/	Shared utilities
-components/	Streamlit UI components
-assets/	Static images and branding
-⸻
-Installation
-Local Development
 Clone the repository:
-git clone https://github.com/your-org/purple-team-code-workbench.git
-cd purple-team-code-workbench
 Create a virtual environment:
-python -m venv .venv
 Activate the environment:
-Linux/macOS
-source .venv/bin/activate
-Windows
-.venv\Scripts\activate
 Install dependencies:
-pip install -r requirements.txt
 Run the application:
-streamlit run app.py
-⸻
-Hugging Face Spaces Deployment
 This repository is compatible with:
-* Hugging Face Streamlit Spaces
-* CPU deployments
-* OAuth-enabled Spaces
-* External inference providers
 Example metadata:
-sdk: streamlit
-sdk_version: 1.57.0
-app_file: app.py
-license: apache-2.0
-⸻
-Security Philosophy
 This project is intended for:
-* authorized testing
-* defensive research
-* purple-team simulation
-* workflow engineering
-* educational environments
-* internal security operations
 This repository is not intended for:
-* unauthorized access
-* destructive automation
-* malware deployment
-* credential theft
-* persistence tooling
-* uncontrolled exploitation
 Users are responsible for complying with all applicable laws and authorization requirements.
 Tiny administrative detail. Society gets strangely emotional about “cybercrime.”
-⸻
-Recommended Operational Controls
 If deploying in production environments:
-* Require authentication
-* Log workflow activity
-* Separate trusted/untrusted prompts
-* Sandbox execution environments
-* Restrict outbound networking
-* Validate generated artifacts
-* Maintain immutable audit trails
-* Enforce scoped execution policies
-⸻
-Example Workflow
-Scope Definition
-    ↓
-Passive Recon
-    ↓
-Evidence Collection
-    ↓
-Finding Classification
-    ↓
-Code/Prompt Generation
-    ↓
-Human Validation
-    ↓
-Report Export
-⸻
-Development Roadmap
-Phase 1
-* Scope-gated workflows
-* Findings management
-* Report export
-* Prompt surface
-Phase 2
-* Agent coordination
-* Structured memory
-* Typed contracts
-* Multi-model routing
-Phase 3
-* Drift-aware orchestration
-* Evidence graphs
-* Policy enforcement engine
-* Autonomous validation loops
-⸻
-Contributing
 Contributions should prioritize:
-* clarity
-* safety
-* reproducibility
-* deterministic behavior
-* typed interfaces
-* operational traceability
 Before submitting:
-* run linting
-* validate workflows
-* document assumptions
-* avoid opaque automation behavior
-⸻
-License
 Licensed under the Apache 2.0 License.
 See the LICENSE file for details.
-⸻
-Disclaimer
 This project is provided for authorized security research, defensive engineering, and educational purposes only.
@@ -334,14 +321,14 @@ The maintainers assume no liability for misuse, unauthorized deployment, or oper
 Because eventually someone always tries to turn a workflow engine into a cyberpunk side quest.
-⸻
-Acknowledgements
 Built with:
-* Streamlit
-* Hugging Face
-* Python Software Foundation
 Inspired by structured operational engineering, purple-team methodology, and the stubborn belief that security tooling should behave like systems engineering rather than ritual magic.

   https://cdn-uploads.huggingface.co/production/uploads/67c714e90b99a2332e310979/L02-prFfHa7eBZGVf4uvR.jpeg
 ---
+# Purple Team Code Workbench
 <p align="center">
   <img src="https://cdn-uploads.huggingface.co/production/uploads/67c714e90b99a2332e310979/L02-prFfHa7eBZGVf4uvR.jpeg" width="720" alt="Purple Team Code Workbench Banner"/>
 ⸻
+<p align="center">
+  <strong>Streamlit-powered code generation and workflow orchestration surface for authorized purple-team operations.</strong>
+</p>
+<p align="center">
+  <img alt="Python" src="https://img.shields.io/badge/python-3.11%2B-blue">
+  <img alt="Streamlit" src="https://img.shields.io/badge/streamlit-1.57.0-red">
+  <img alt="License" src="https://img.shields.io/badge/license-Apache--2.0-green">
+  <img alt="Security" src="https://img.shields.io/badge/focus-purple--team-purple">
+</p>
+---
+## Overview
 Purple Team Code Workbench is a Streamlit-based operational interface designed for structured, scope-aware security engineering workflows.
 The platform focuses on:
+- Authorized assessment workflows
+- Defensive and adversarial simulation support
+- Code generation for security operations
+- Evidence handling and finding management
+- Prompt-assisted workflow acceleration
+- Report artifact generation
+- Research and analysis augmentation
 The system is intentionally structured around controlled workflows rather than unrestricted autonomous execution. Because the internet already contains enough entropy generators wearing hoodies and calling themselves “operators.”
+---
+## Core Design Principles
+### Scope-First Architecture
 Every workflow begins with explicit authorization and target definition.
 The system is designed to reduce:
+- accidental scope drift
+- unsafe automation
+- uncontrolled execution paths
+- ambiguous operational state
+---
+### Human-in-the-Loop Control
 The workbench assists analysts and engineers rather than replacing operational judgment.
 All generated output should be reviewed before use.
+---
+### Evidence-Centric Workflow
 Outputs are treated as operational artifacts:
+- findings
+- prompts
+- code snippets
+- reports
+- remediation notes
+- validation records
 The system emphasizes traceability and reproducibility over “magic AI behavior.”
 A tragically rare design choice in 2026.
+---
+## Features
+### Current Capabilities
+- Streamlit-based UI
+- Scope-gated workflow controls
+- Security code generation surface
+- Passive recon helpers
+- Structured findings management
+- Markdown report export
+- Multi-model workflow support
+- Hugging Face Space deployment compatibility
+---
+### Planned Capabilities
+- Agent orchestration
+- Prompt chaining
+- Workflow templates
+- Typed finding schemas
+- Evidence graphing
+- Drift-aware execution state
+- Multi-provider inference routing
+- Report diff/version tracking
+- Local LLM runtime support
+- LangGraph integration
+- MCP-compatible tool surfaces
+---
+## Supported Models
 Current configured models:
+| Model | Purpose |
+|---|---|
+| HauhauCS/Gemma-4-E4B-Uncensored-HauhauCS-Aggressive | Experimental coding and reasoning |
+| DeepHat/DeepHat-V1-7B | Security-oriented generation workflows |
+| llama3-8b-8192 | General-purpose assistant workflows |
 Model availability depends on provider access and deployment configuration.
+---
+## Repository Structure
+text . ├── app.py ├── requirements.txt ├── README.md ├── assets/ ├── workflows/ ├── prompts/ ├── reports/ ├── utils/ └── components/
 Recommended modularization:
+| Directory | Purpose |
+|---|---|
+| workflows/ | Workflow orchestration logic |
+| prompts/ | Prompt templates and chains |
+| reports/ | Generated report artifacts |
+| utils/ | Shared utilities |
+| components/ | Streamlit UI components |
+| assets/ | Static images and branding |
+---
+## Installation
+### Local Development
 Clone the repository:
+bash git clone https://github.com/your-org/purple-team-code-workbench.git cd purple-team-code-workbench
 Create a virtual environment:
+bash python -m venv .venv
 Activate the environment:
+#### Linux/macOS
+bash source .venv/bin/activate
+#### Windows
+powershell .venv\Scripts\activate
 Install dependencies:
+bash pip install -r requirements.txt
 Run the application:
+bash streamlit run app.py
+---
+## Hugging Face Spaces Deployment
 This repository is compatible with:
+- Hugging Face Streamlit Spaces
+- CPU deployments
+- OAuth-enabled Spaces
+- External inference providers
 Example metadata:
+yaml sdk: streamlit sdk_version: 1.57.0 app_file: app.py license: apache-2.0
+---
+## Security Philosophy
 This project is intended for:
+- authorized testing
+- defensive research
+- purple-team simulation
+- workflow engineering
+- educational environments
+- internal security operations
 This repository is not intended for:
+- unauthorized access
+- destructive automation
+- malware deployment
+- credential theft
+- persistence tooling
+- uncontrolled exploitation
 Users are responsible for complying with all applicable laws and authorization requirements.
 Tiny administrative detail. Society gets strangely emotional about “cybercrime.”
+---
+## Recommended Operational Controls
 If deploying in production environments:
+- Require authentication
+- Log workflow activity
+- Separate trusted/untrusted prompts
+- Sandbox execution environments
+- Restrict outbound networking
+- Validate generated artifacts
+- Maintain immutable audit trails
+- Enforce scoped execution policies
+---
+## Example Workflow
+text Scope Definition     ↓ Passive Recon     ↓ Evidence Collection     ↓ Finding Classification     ↓ Code/Prompt Generation     ↓ Human Validation     ↓ Report Export
+---
+## Development Roadmap
+### Phase 1
+- Scope-gated workflows
+- Findings management
+- Report export
+- Prompt surface
+### Phase 2
+- Agent coordination
+- Structured memory
+- Typed contracts
+- Multi-model routing
+### Phase 3
+- Drift-aware orchestration
+- Evidence graphs
+- Policy enforcement engine
+- Autonomous validation loops
+---
+## Contributing
 Contributions should prioritize:
+- clarity
+- safety
+- reproducibility
+- deterministic behavior
+- typed interfaces
+- operational traceability
 Before submitting:
+- run linting
+- validate workflows
+- document assumptions
+- avoid opaque automation behavior
+---
+## License
 Licensed under the Apache 2.0 License.
 See the LICENSE file for details.
+---
+## Disclaimer
 This project is provided for authorized security research, defensive engineering, and educational purposes only.
 Because eventually someone always tries to turn a workflow engine into a cyberpunk side quest.
+---
+## Acknowledgements
 Built with:
+- Streamlit
+- Hugging Face
+- Python Software Foundation
 Inspired by structured operational engineering, purple-team methodology, and the stubborn belief that security tooling should behave like systems engineering rather than ritual magic.