- Updated: January 28, 2026
- 6 min read
Use‑Tusk Fence: Lightweight Container‑Free Sandbox for Secure CLI Commands

Use‑Tusk / fence is a lightweight, container‑free sandbox that isolates command‑line operations by blocking network access and restricting filesystem interactions, making it an ideal open‑source security tool for developers who need to run semi‑trusted code safely.
Introduction: Why Fence Matters in Modern Development
In today’s fast‑paced DevOps pipelines, developers frequently execute third‑party scripts, install unknown packages, or run CI jobs that could unintentionally modify the host system or leak data. Fence addresses this risk by providing a configurable sandbox that works without heavyweight containers, delivering fast startup times and minimal overhead. Its open‑source nature, hosted on GitHub, invites community contributions and ensures transparency—key criteria for any open source security solution.
For teams already leveraging the UBOS platform overview, Fence can be seamlessly integrated into existing workflows, complementing tools like the AI marketing agents or the Workflow automation studio. Below we break down Fence’s core features, installation steps, practical usage patterns, and the tangible benefits it brings to developers and tech enthusiasts.
Features: What Fence Offers Out‑of‑the‑Box
Fence’s design follows the MECE principle—each capability is distinct and collectively exhaustive. The most compelling features include:
- Network Isolation: All outbound traffic is blocked by default. Developers can whitelist specific domains via a simple JSON configuration.
- Filesystem Restrictions: Fine‑grained read/write permissions let you expose only the directories a command truly needs.
- Command Deny List: Dangerous commands such as
rm -rf /orgit pushare automatically rejected. - SSH Command Filtering: Control which remote hosts and commands are allowed over SSH, preventing accidental credential leaks.
- Built‑in Templates: Pre‑configured rule sets (e.g.,
code,npm,python) accelerate common workflows. - Violation Monitoring: Real‑time logs (enabled with
-m) show exactly which actions were blocked, aiding debugging and compliance. - Cross‑Platform Support: Works on macOS (sandbox‑exec) and Linux (bubblewrap), with optional
bpftracefor deeper visibility. - Go Package & CLI: Use Fence as a library in Go projects or as a standalone command‑line tool.
These capabilities make Fence a versatile permission manager for CLI agents, especially when paired with AI‑driven code assistants like the ChatGPT and Telegram integration or the OpenAI ChatGPT integration.
Installation: Getting Fence Up and Running
Fence can be installed on macOS or Linux in just a few commands. Choose the method that best fits your environment.
One‑Line Script (Recommended)
curl -fsSL https://raw.githubusercontent.com/Use-Tusk/fence/main/install.sh | sh
Go Install (For Go Developers)
go install github.com/Use-Tusk/fence/cmd/fence@latest
Build from Source (Full Control)
git clone https://github.com/Use-Tusk/fence.git
cd fence
go build -o fence ./cmd/fence
Linux users must ensure bubblewrap and socat are present. Install them via your package manager (e.g., apt-get install bubblewrap socat or yum install bubblewrap socat). For advanced monitoring, consider adding bpftrace.
Once installed, verify the version:
fence --version
Usage: Practical Scenarios and Command Syntax
Fence’s CLI is intentionally simple. Below are common usage patterns that illustrate how to protect your development workflow.
Basic Network Block
fence curl https://example.com
Result: 403 Forbidden because outbound network access is blocked by default.
Allow Specific Domains
fence -t code npm install
The code template automatically permits access to registry.npmjs.org and pypi.org, enabling safe package installations.
Command Deny List in Action
fence -c "git push origin main"
Fence blocks the push because git push is on the default deny list.
Debug Logging
fence -d curl https://example.com
Enables verbose output, showing which rules triggered the block.
Monitoring Mode
fence -m npm install
Displays a live stream of allowed and denied filesystem operations, perfect for audit trails.
Custom Configuration
Create a ~/.fence.json file to tailor the sandbox to your project:
{
"extends": "code",
"network": {
"allowedDomains": ["api.mycompany.com"]
},
"filesystem": {
"allowWrite": ["./logs", "./tmp"]
},
"command": {
"deny": ["docker", "kubectl"]
}
}
Run with the custom file using fence --settings ./custom.json <command>.
Benefits: How Fence Enhances Security and Productivity
Adopting Fence yields measurable advantages across the software development lifecycle.
Reduced Attack Surface
By default, no outbound network traffic is permitted, dramatically lowering the risk of data exfiltration or malicious callbacks from untrusted scripts.
Compliance‑Ready Auditing
Violation monitoring provides a tamper‑evident log of every blocked operation, satisfying many internal security policies and external regulations (e.g., GDPR, SOC 2).
Speed Over Containers
Because Fence does not spin up full containers, sandbox startup is measured in milliseconds, keeping CI pipelines fast while still offering strong isolation.
Developer Experience (DX)
Pre‑built templates eliminate the need to write complex sandbox policies from scratch. Teams can focus on code rather than security plumbing.
Seamless Integration with UBOS Ecosystem
UBOS customers can embed Fence into the Web app editor on UBOS or orchestrate it via the Workflow automation studio. This synergy enables automated security checks before deploying AI‑enhanced features like the ElevenLabs AI voice integration or the Chroma DB integration.
Cost‑Effective for Startups and SMBs
Unlike heavyweight container orchestration platforms, Fence runs with minimal resource consumption, aligning perfectly with the budgets of UBOS for startups and UBOS solutions for SMBs.
Real‑World Example: Securing an AI‑Powered SEO Analyzer
Imagine you are building an AI SEO Analyzer that scrapes competitor sites, processes data with OpenAI, and returns recommendations. By wrapping the scraping step with Fence, you guarantee that the script cannot accidentally contact unauthorized domains or write to the filesystem outside a designated /tmp folder.
Sample workflow:
- Create a custom
.fence.jsonallowing onlyhttps://www.google.comandhttps://api.openai.com. - Run the scraper inside Fence:
fence -c "python scraper.py". - Pipe the sanitized output to the AI model via the OpenAI ChatGPT integration.
- Store results in a secure DB managed by the Chroma DB integration.
This pattern demonstrates how Fence can be a foundational security layer for any AI‑driven application built on the UBOS platform.
Conclusion: Fence as a Must‑Have Tool for Secure Development
For developers and tech enthusiasts who value open source security, Fence offers a pragmatic balance between protection and performance. Its configurability, low overhead, and seamless compatibility with the broader UBOS ecosystem make it a strategic addition to any modern development stack.
Start experimenting today by cloning the repository, customizing the policy file, and integrating it with your CI pipelines. As the security landscape evolves, tools like Fence empower you to stay ahead without sacrificing speed or developer happiness.
Ready to explore more UBOS solutions? Visit the UBOS homepage for a full suite of AI‑enabled products, or check out the UBOS partner program to collaborate on future security innovations.
Stay secure, stay productive, and let Fence guard your code while you focus on building the next breakthrough.