Files
fuzzforge_ai/cli/README.md
tduhamel42 60ca088ecf CI/CD Integration with Ephemeral Deployment Model (#14)
* feat: Complete migration from Prefect to Temporal

BREAKING CHANGE: Replaces Prefect workflow orchestration with Temporal

## Major Changes
- Replace Prefect with Temporal for workflow orchestration
- Implement vertical worker architecture (rust, android)
- Replace Docker registry with MinIO for unified storage
- Refactor activities to be co-located with workflows
- Update all API endpoints for Temporal compatibility

## Infrastructure
- New: docker-compose.temporal.yaml (Temporal + MinIO + workers)
- New: workers/ directory with rust and android vertical workers
- New: backend/src/temporal/ (manager, discovery)
- New: backend/src/storage/ (S3-cached storage with MinIO)
- New: backend/toolbox/common/ (shared storage activities)
- Deleted: docker-compose.yaml (old Prefect setup)
- Deleted: backend/src/core/prefect_manager.py
- Deleted: backend/src/services/prefect_stats_monitor.py
- Deleted: Docker registry and insecure-registries requirement

## Workflows
- Migrated: security_assessment workflow to Temporal
- New: rust_test workflow (example/test workflow)
- Deleted: secret_detection_scan (Prefect-based, to be reimplemented)
- Activities now co-located with workflows for independent testing

## API Changes
- Updated: backend/src/api/workflows.py (Temporal submission)
- Updated: backend/src/api/runs.py (Temporal status/results)
- Updated: backend/src/main.py (727 lines, TemporalManager integration)
- Updated: All 16 MCP tools to use TemporalManager

## Testing
-  All services healthy (Temporal, PostgreSQL, MinIO, workers, backend)
-  All API endpoints functional
-  End-to-end workflow test passed (72 findings from vulnerable_app)
-  MinIO storage integration working (target upload/download, results)
-  Worker activity discovery working (6 activities registered)
-  Tarball extraction working
-  SARIF report generation working

## Documentation
- ARCHITECTURE.md: Complete Temporal architecture documentation
- QUICKSTART_TEMPORAL.md: Getting started guide
- MIGRATION_DECISION.md: Why we chose Temporal over Prefect
- IMPLEMENTATION_STATUS.md: Migration progress tracking
- workers/README.md: Worker development guide

## Dependencies
- Added: temporalio>=1.6.0
- Added: boto3>=1.34.0 (MinIO S3 client)
- Removed: prefect>=3.4.18

* feat: Add Python fuzzing vertical with Atheris integration

This commit implements a complete Python fuzzing workflow using Atheris:

## Python Worker (workers/python/)
- Dockerfile with Python 3.11, Atheris, and build tools
- Generic worker.py for dynamic workflow discovery
- requirements.txt with temporalio, boto3, atheris dependencies
- Added to docker-compose.temporal.yaml with dedicated cache volume

## AtherisFuzzer Module (backend/toolbox/modules/fuzzer/)
- Reusable module extending BaseModule
- Auto-discovers fuzz targets (fuzz_*.py, *_fuzz.py, fuzz_target.py)
- Recursive search to find targets in nested directories
- Dynamically loads TestOneInput() function
- Configurable max_iterations and timeout
- Real-time stats callback support for live monitoring
- Returns findings as ModuleFinding objects

## Atheris Fuzzing Workflow (backend/toolbox/workflows/atheris_fuzzing/)
- Temporal workflow for orchestrating fuzzing
- Downloads user code from MinIO
- Executes AtherisFuzzer module
- Uploads results to MinIO
- Cleans up cache after execution
- metadata.yaml with vertical: python for routing

## Test Project (test_projects/python_fuzz_waterfall/)
- Demonstrates stateful waterfall vulnerability
- main.py with check_secret() that leaks progress
- fuzz_target.py with Atheris TestOneInput() harness
- Complete README with usage instructions

## Backend Fixes
- Fixed parameter merging in REST API endpoints (workflows.py)
- Changed workflow parameter passing from positional args to kwargs (manager.py)
- Default parameters now properly merged with user parameters

## Testing
 Worker discovered AtherisFuzzingWorkflow
 Workflow executed end-to-end successfully
 Fuzz target auto-discovered in nested directories
 Atheris ran 100,000 iterations
 Results uploaded and cache cleaned

* chore: Complete Temporal migration with updated CLI/SDK/docs

This commit includes all remaining Temporal migration changes:

## CLI Updates (cli/)
- Updated workflow execution commands for Temporal
- Enhanced error handling and exceptions
- Updated dependencies in uv.lock

## SDK Updates (sdk/)
- Client methods updated for Temporal workflows
- Updated models for new workflow execution
- Updated dependencies in uv.lock

## Documentation Updates (docs/)
- Architecture documentation for Temporal
- Workflow concept documentation
- Resource management documentation (new)
- Debugging guide (new)
- Updated tutorials and how-to guides
- Troubleshooting updates

## README Updates
- Main README with Temporal instructions
- Backend README
- CLI README
- SDK README

## Other
- Updated IMPLEMENTATION_STATUS.md
- Removed old vulnerable_app.tar.gz

These changes complete the Temporal migration and ensure the
CLI/SDK work correctly with the new backend.

* fix: Use positional args instead of kwargs for Temporal workflows

The Temporal Python SDK's start_workflow() method doesn't accept
a 'kwargs' parameter. Workflows must receive parameters as positional
arguments via the 'args' parameter.

Changed from:
  args=workflow_args  # Positional arguments

This fixes the error:
  TypeError: Client.start_workflow() got an unexpected keyword argument 'kwargs'

Workflows now correctly receive parameters in order:
- security_assessment: [target_id, scanner_config, analyzer_config, reporter_config]
- atheris_fuzzing: [target_id, target_file, max_iterations, timeout_seconds]
- rust_test: [target_id, test_message]

* fix: Filter metadata-only parameters from workflow arguments

SecurityAssessmentWorkflow was receiving 7 arguments instead of 2-5.
The issue was that target_path and volume_mode from default_parameters
were being passed to the workflow, when they should only be used by
the system for configuration.

Now filters out metadata-only parameters (target_path, volume_mode)
before passing arguments to workflow execution.

* refactor: Remove Prefect leftovers and volume mounting legacy

Complete cleanup of Prefect migration artifacts:

Backend:
- Delete registry.py and workflow_discovery.py (Prefect-specific files)
- Remove Docker validation from setup.py (no longer needed)
- Remove ResourceLimits and VolumeMount models
- Remove target_path and volume_mode from WorkflowSubmission
- Remove supported_volume_modes from API and discovery
- Clean up metadata.yaml files (remove volume/path fields)
- Simplify parameter filtering in manager.py

SDK:
- Remove volume_mode parameter from client methods
- Remove ResourceLimits and VolumeMount models
- Remove Prefect error patterns from docker_logs.py
- Clean up WorkflowSubmission and WorkflowMetadata models

CLI:
- Remove Volume Modes display from workflow info

All removed features are Prefect-specific or Docker volume mounting
artifacts. Temporal workflows use MinIO storage exclusively.

* feat: Add comprehensive test suite and benchmark infrastructure

- Add 68 unit tests for fuzzer, scanner, and analyzer modules
- Implement pytest-based test infrastructure with fixtures
- Add 6 performance benchmarks with category-specific thresholds
- Configure GitHub Actions for automated testing and benchmarking
- Add test and benchmark documentation

Test coverage:
- AtherisFuzzer: 8 tests
- CargoFuzzer: 14 tests
- FileScanner: 22 tests
- SecurityAnalyzer: 24 tests

All tests passing (68/68)
All benchmarks passing (6/6)

* fix: Resolve all ruff linting violations across codebase

Fixed 27 ruff violations in 12 files:
- Removed unused imports (Depends, Dict, Any, Optional, etc.)
- Fixed undefined workflow_info variable in workflows.py
- Removed dead code with undefined variables in atheris_fuzzer.py
- Changed f-string to regular string where no placeholders used

All files now pass ruff checks for CI/CD compliance.

* fix: Configure CI for unit tests only

- Renamed docker-compose.temporal.yaml → docker-compose.yml for CI compatibility
- Commented out integration-tests job (no integration tests yet)
- Updated test-summary to only depend on lint and unit-tests

CI will now run successfully with 68 unit tests. Integration tests can be added later.

* feat: Add CI/CD integration with ephemeral deployment model

Implements comprehensive CI/CD support for FuzzForge with on-demand worker management:

**Worker Management (v0.7.0)**
- Add WorkerManager for automatic worker lifecycle control
- Auto-start workers from stopped state when workflows execute
- Auto-stop workers after workflow completion
- Health checks and startup timeout handling (90s default)

**CI/CD Features**
- `--fail-on` flag: Fail builds based on SARIF severity levels (error/warning/note/info)
- `--export-sarif` flag: Export findings in SARIF 2.1.0 format
- `--auto-start`/`--auto-stop` flags: Control worker lifecycle
- Exit code propagation: Returns 1 on blocking findings, 0 on success

**Exit Code Fix**
- Add `except typer.Exit: raise` handlers at 3 critical locations
- Move worker cleanup to finally block for guaranteed execution
- Exit codes now propagate correctly even when build fails

**CI Scripts & Examples**
- ci-start.sh: Start FuzzForge services with health checks
- ci-stop.sh: Clean shutdown with volume preservation option
- GitHub Actions workflow example (security-scan.yml)
- GitLab CI pipeline example (.gitlab-ci.example.yml)
- docker-compose.ci.yml: CI-optimized compose file with profiles

**OSS-Fuzz Integration**
- New ossfuzz_campaign workflow for running OSS-Fuzz projects
- OSS-Fuzz worker with Docker-in-Docker support
- Configurable campaign duration and project selection

**Documentation**
- Comprehensive CI/CD integration guide (docs/how-to/cicd-integration.md)
- Updated architecture docs with worker lifecycle details
- Updated workspace isolation documentation
- CLI README with worker management examples

**SDK Enhancements**
- Add get_workflow_worker_info() endpoint
- Worker vertical metadata in workflow responses

**Testing**
- All workflows tested: security_assessment, atheris_fuzzing, secret_detection, cargo_fuzzing
- All monitoring commands tested: stats, crashes, status, finding
- Full CI pipeline simulation verified
- Exit codes verified for success/failure scenarios

Ephemeral CI/CD model: ~3-4GB RAM, ~60-90s startup, runs entirely in CI containers.

* fix: Resolve ruff linting violations in CI/CD code

- Remove unused variables (run_id, defaults, result)
- Remove unused imports
- Fix f-string without placeholders

All CI/CD integration files now pass ruff checks.
2025-10-14 10:13:45 +02:00

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Markdown

# FuzzForge CLI
🛡️ **FuzzForge CLI** - Command-line interface for FuzzForge security testing platform
A comprehensive CLI for managing security testing workflows, monitoring runs in real-time, and analyzing findings with beautiful terminal interfaces and persistent project management.
## ✨ Features
- 📁 **Project Management** - Initialize and manage FuzzForge projects with local databases
- 🔧 **Workflow Management** - Browse, configure, and run security testing workflows
- 🚀 **Workflow Execution** - Execute and manage security testing workflows
- 🔍 **Findings Analysis** - View, export, and analyze security findings in multiple formats
- 📊 **Real-time Monitoring** - Live dashboards for fuzzing statistics and crash reports
- ⚙️ **Configuration** - Flexible project and global configuration management
- 🎨 **Rich UI** - Beautiful tables, progress bars, and interactive prompts
- 💾 **Persistent Storage** - SQLite database for runs, findings, and crash data
- 🛡️ **Error Handling** - Comprehensive error handling with user-friendly messages
- 🔄 **Network Resilience** - Automatic retries and graceful degradation
## 🚀 Quick Start
### Installation
#### Prerequisites
- Python 3.11 or higher
- [uv](https://docs.astral.sh/uv/) package manager
#### Install FuzzForge CLI
```bash
# Clone the repository
git clone https://github.com/FuzzingLabs/fuzzforge_alpha.git
cd fuzzforge_alpha/cli
# Install globally with uv (recommended)
uv tool install .
# Alternative: Install in development mode
uv sync
uv add --editable ../sdk
uv tool install --editable .
# Verify installation
fuzzforge --help
```
#### Shell Completion (Optional)
```bash
# Install completion for your shell
fuzzforge --install-completion
```
### Initialize Your First Project
```bash
# Create a new project directory
mkdir my-security-project
cd my-security-project
# Initialize FuzzForge project
ff init
# Check status
fuzzforge status
```
This creates a `.fuzzforge/` directory with:
- SQLite database for persistent storage
- Configuration file (`config.yaml`)
- Project metadata
### Run Your First Analysis
```bash
# List available workflows
fuzzforge workflows list
# Get workflow details
fuzzforge workflows info security_assessment
# Submit a workflow for analysis
fuzzforge workflow security_assessment /path/to/your/code
# Monitor progress in real-time
fuzzforge monitor live <execution-id>
# View findings when complete
fuzzforge finding <execution-id>
```
## 📚 Command Reference
### Project Management
#### `ff init`
Initialize a new FuzzForge project in the current directory.
```bash
ff init --name "My Security Project" --api-url "http://localhost:8000"
```
**Options:**
- `--name, -n` - Project name (defaults to directory name)
- `--api-url, -u` - FuzzForge API URL (defaults to http://localhost:8000)
- `--force, -f` - Force initialization even if project exists
#### `fuzzforge status`
Show comprehensive project and API status information.
```bash
fuzzforge status
```
Displays:
- Project information and configuration
- Database statistics (runs, findings, crashes)
- API connectivity and available workflows
### Workflow Management
#### `fuzzforge workflows list`
List all available security testing workflows.
```bash
fuzzforge workflows list
```
#### `fuzzforge workflows info <workflow-name>`
Show detailed information about a specific workflow.
```bash
fuzzforge workflows info security_assessment
```
Displays:
- Workflow metadata (version, author, description)
- Parameter schema and requirements
- Supported volume modes and features
#### `fuzzforge workflows parameters <workflow-name>`
Interactive parameter builder for workflows.
```bash
# Interactive mode
fuzzforge workflows parameters security_assessment
# Save parameters to file
fuzzforge workflows parameters security_assessment --output params.json
# Non-interactive mode (show schema only)
fuzzforge workflows parameters security_assessment --no-interactive
```
### Workflow Execution
#### `fuzzforge workflow <workflow> <target-path>`
Execute a security testing workflow with **automatic file upload**.
```bash
# Basic execution - CLI automatically detects local files and uploads them
fuzzforge workflow security_assessment /path/to/code
# With parameters
fuzzforge workflow security_assessment /path/to/binary \
--param timeout=3600 \
--param iterations=10000
# With parameter file
fuzzforge workflow security_assessment /path/to/code \
--param-file my-params.json
# Wait for completion
fuzzforge workflow security_assessment /path/to/code --wait
```
**Automatic File Upload Behavior:**
The CLI intelligently handles target files based on whether they exist locally:
1. **Local file/directory exists****Automatic upload to MinIO**:
- CLI creates a compressed tarball (`.tar.gz`) for directories
- Uploads via HTTP to backend API
- Backend stores in MinIO with unique `target_id`
- Worker downloads from MinIO when ready to analyze
-**Works from any machine** (no shared filesystem needed)
2. **Path doesn't exist locally****Path-based submission** (legacy):
- Path is sent to backend as-is
- Backend expects target to be accessible on its filesystem
- ⚠️ Only works when CLI and backend share filesystem
**Example workflow:**
```bash
$ ff workflow security_assessment ./my-project
🔧 Getting workflow information for: security_assessment
📦 Detected local directory: ./my-project (21 files)
🗜️ Creating compressed tarball...
📤 Uploading to backend (0.01 MB)...
✅ Upload complete! Target ID: 548193a1-f73f-4ec1-8068-19ec2660b8e4
🎯 Executing workflow:
Workflow: security_assessment
Target: my-project.tar.gz (uploaded)
Volume Mode: ro
Status: 🔄 RUNNING
✅ Workflow started successfully!
Execution ID: security_assessment-52781925
```
**Upload Details:**
- **Max file size**: 10 GB (configurable on backend)
- **Compression**: Automatic for directories (reduces upload time)
- **Storage**: Files stored in MinIO (S3-compatible)
- **Lifecycle**: Automatic cleanup after 7 days
- **Caching**: Workers cache downloaded targets for faster repeated workflows
**Options:**
- `--param, -p` - Parameter in key=value format (can be used multiple times)
- `--param-file, -f` - JSON file containing parameters
- `--volume-mode, -v` - Volume mount mode: `ro` (read-only) or `rw` (read-write)
- `--timeout, -t` - Execution timeout in seconds
- `--interactive/--no-interactive, -i/-n` - Interactive parameter input
- `--wait, -w` - Wait for execution to complete
- `--live, -l` - Show live monitoring during execution
**Worker Lifecycle Options (v0.7.0):**
- `--auto-start/--no-auto-start` - Auto-start required worker (default: from config)
- `--auto-stop/--no-auto-stop` - Auto-stop worker after completion (default: from config)
**Examples:**
```bash
# Worker starts automatically (default behavior)
fuzzforge workflow ossfuzz_campaign . project_name=zlib
# Disable auto-start (worker must be running already)
fuzzforge workflow ossfuzz_campaign . --no-auto-start
# Auto-stop worker after completion
fuzzforge workflow ossfuzz_campaign . --wait --auto-stop
```
#### `fuzzforge workflow status [execution-id]`
Check the status of a workflow execution.
```bash
# Check specific execution
fuzzforge workflow status abc123def456
# Check most recent execution
fuzzforge workflow status
```
#### `fuzzforge workflow history`
Show workflow execution history from local database.
```bash
# List all executions
fuzzforge workflow history
# Filter by workflow
fuzzforge workflow history --workflow security_assessment
# Filter by status
fuzzforge workflow history --status completed
# Limit results
fuzzforge workflow history --limit 10
```
#### `fuzzforge workflow retry <execution-id>`
Retry a workflow with the same or modified parameters.
```bash
# Retry with same parameters
fuzzforge workflow retry abc123def456
# Modify parameters interactively
fuzzforge workflow retry abc123def456 --modify-params
```
### Findings Management
#### `fuzzforge finding [execution-id]`
View security findings for a specific execution.
```bash
# Display latest findings
fuzzforge finding
# Display specific execution findings
fuzzforge finding abc123def456
```
#### `fuzzforge findings`
Browse all security findings from local database.
```bash
# List all findings
fuzzforge findings
# Show findings history
fuzzforge findings history --limit 20
```
#### `fuzzforge finding export [execution-id]`
Export security findings in various formats.
```bash
# Export latest findings
fuzzforge finding export --format json
# Export specific execution findings
fuzzforge finding export abc123def456 --format sarif
# Export as CSV with output file
fuzzforge finding export abc123def456 --format csv --output report.csv
# Export as HTML report
fuzzforge finding export --format html --output report.html
```
### Real-time Monitoring
#### `fuzzforge monitor stats <execution-id>`
Show current fuzzing statistics.
```bash
# Show stats once
fuzzforge monitor stats abc123def456 --once
# Live updating stats (default)
fuzzforge monitor stats abc123def456 --refresh 5
```
#### `fuzzforge monitor crashes <run-id>`
Display crash reports for a fuzzing run.
```bash
fuzzforge monitor crashes abc123def456 --limit 50
```
#### `fuzzforge monitor live <run-id>`
Real-time monitoring dashboard with live updates.
```bash
fuzzforge monitor live abc123def456 --refresh 3
```
Features:
- Live updating statistics
- Progress indicators and bars
- Run status monitoring
- Automatic completion detection
### Configuration Management
#### `fuzzforge config show`
Display current configuration settings.
```bash
# Show project configuration
fuzzforge config show
# Show global configuration
fuzzforge config show --global
```
#### `fuzzforge config set <key> <value>`
Set a configuration value.
```bash
# Project settings
fuzzforge config set project.api_url "http://api.fuzzforge.com"
fuzzforge config set project.default_timeout 7200
fuzzforge config set project.default_workflow "security_assessment"
# Retention settings
fuzzforge config set retention.max_runs 200
fuzzforge config set retention.keep_findings_days 120
# Preferences
fuzzforge config set preferences.auto_save_findings true
fuzzforge config set preferences.show_progress_bars false
# Global configuration
fuzzforge config set project.api_url "http://global.api.com" --global
```
#### `fuzzforge config get <key>`
Get a specific configuration value.
```bash
fuzzforge config get project.api_url
fuzzforge config get retention.max_runs --global
```
#### `fuzzforge config reset`
Reset configuration to defaults.
```bash
# Reset project configuration
fuzzforge config reset
# Reset global configuration
fuzzforge config reset --global
# Skip confirmation
fuzzforge config reset --force
```
#### `fuzzforge config edit`
Open configuration file in default editor.
```bash
# Edit project configuration
fuzzforge config edit
# Edit global configuration
fuzzforge config edit --global
```
## 🏗️ Project Structure
When you initialize a FuzzForge project, the following structure is created:
```
my-project/
├── .fuzzforge/
│ ├── config.yaml # Project configuration
│ └── findings.db # SQLite database
├── .gitignore # Updated with FuzzForge entries
└── README.md # Project README (if created)
```
### Database Schema
The SQLite database stores:
- **runs** - Workflow run history and metadata
- **findings** - Security findings and SARIF data
- **crashes** - Crash reports and fuzzing data
### Configuration Format
Project configuration (`.fuzzforge/config.yaml`):
```yaml
project:
name: "My Security Project"
api_url: "http://localhost:8000"
default_timeout: 3600
default_workflow: null
retention:
max_runs: 100
keep_findings_days: 90
preferences:
auto_save_findings: true
show_progress_bars: true
table_style: "rich"
color_output: true
workers:
auto_start_workers: true # Auto-start workers when needed
auto_stop_workers: false # Auto-stop workers after completion
worker_startup_timeout: 60 # Worker startup timeout (seconds)
docker_compose_file: null # Custom docker-compose.yml path
```
## 🔧 Advanced Usage
### Parameter Handling
FuzzForge CLI supports flexible parameter input:
1. **Command line parameters**:
```bash
ff workflow workflow-name /path key1=value1 key2=value2
```
2. **Parameter files**:
```bash
echo '{"timeout": 3600, "threads": 4}' > params.json
ff workflow workflow-name /path --param-file params.json
```
3. **Interactive prompts**:
```bash
ff workflow workflow-name /path --interactive
```
4. **Parameter builder**:
```bash
ff workflows parameters workflow-name --output my-params.json
ff workflow workflow-name /path --param-file my-params.json
```
### Environment Variables
Override configuration with environment variables:
```bash
export FUZZFORGE_API_URL="http://production.api.com"
export FUZZFORGE_TIMEOUT="7200"
```
### Data Retention
Configure automatic cleanup of old data:
```bash
# Keep only 50 runs
fuzzforge config set retention.max_runs 50
# Keep findings for 30 days
fuzzforge config set retention.keep_findings_days 30
```
### Export Formats
Support for multiple export formats:
- **JSON** - Simplified findings structure
- **CSV** - Tabular data for spreadsheets
- **HTML** - Interactive web report
- **SARIF** - Standard security analysis format
## 🛠️ Development
### Setup Development Environment
```bash
# Clone repository
git clone https://github.com/FuzzingLabs/fuzzforge_alpha.git
cd fuzzforge_alpha/cli
# Install in development mode
uv sync
uv add --editable ../sdk
# Install CLI in editable mode
uv tool install --editable .
```
### Project Structure
```
cli/
├── src/fuzzforge_cli/
│ ├── __init__.py
│ ├── main.py # Main CLI app
│ ├── config.py # Configuration management
│ ├── database.py # Database operations
│ ├── exceptions.py # Error handling
│ ├── api_validation.py # API response validation
│ └── commands/ # Command implementations
│ ├── init.py # Project initialization
│ ├── workflows.py # Workflow management
│ ├── runs.py # Run management
│ ├── findings.py # Findings management
│ ├── monitor.py # Real-time monitoring
│ ├── config.py # Configuration commands
│ └── status.py # Status information
├── pyproject.toml # Project configuration
└── README.md # This file
```
### Running Tests
```bash
# Run tests (when available)
uv run pytest
# Code formatting
uv run black src/
uv run isort src/
# Type checking
uv run mypy src/
```
## ⚠️ Troubleshooting
### Common Issues
#### "No FuzzForge project found"
```bash
# Initialize a project first
ff init
```
#### API Connection Failed
```bash
# Check API URL configuration
fuzzforge config get project.api_url
# Test API connectivity
fuzzforge status
# Update API URL if needed
fuzzforge config set project.api_url "http://correct-url:8000"
```
#### Permission Errors
```bash
# Ensure proper permissions for project directory
chmod -R 755 .fuzzforge/
# Check file ownership
ls -la .fuzzforge/
```
#### Database Issues
```bash
# Check database file exists
ls -la .fuzzforge/findings.db
# Reinitialize if corrupted (will lose data)
rm .fuzzforge/findings.db
ff init --force
```
### Environment Variables
Set these environment variables for debugging:
```bash
export FUZZFORGE_DEBUG=1 # Enable debug logging
export FUZZFORGE_API_URL="..." # Override API URL
export FUZZFORGE_TIMEOUT="30" # Override timeout
```
### Getting Help
```bash
# General help
fuzzforge --help
# Command-specific help
ff workflows --help
ff workflow run --help
ff monitor live --help
# Show version
fuzzforge --version
```
## 🏆 Example Workflow
Here's a complete example of analyzing a project:
```bash
# 1. Initialize project
mkdir my-security-audit
cd my-security-audit
ff init --name "Security Audit 2024"
# 2. Check available workflows
fuzzforge workflows list
# 3. Submit comprehensive security assessment
ff workflow security_assessment /path/to/source/code --wait
# 4. View findings in table format
fuzzforge findings get <run-id>
# 5. Export detailed report
fuzzforge findings export <run-id> --format html --output security_report.html
# 6. Check project statistics
fuzzforge status
```
## 📜 License
This project is licensed under the terms specified in the main FuzzForge repository.
## 🤝 Contributing
Contributions are welcome! Please see the main FuzzForge repository for contribution guidelines.
---
**FuzzForge CLI** - Making security testing workflows accessible and efficient from the command line.