browser-agent-security

Name: browser-agent-security
Availability: InStock
Author: Akshay

Sanitize DOM content and isolate credentials for browser agent security.

4|Updated Apr 27, 2026

Search Tags:#security #ai-agent #browser #web-automation #prompt-injection #credential-protection

Ready to run

npx skills add https://github.com/maruakshay/mii-ai-security --skill browser-agent-security

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: browser-agent-security
Source: https://github.com/maruakshay/mii-ai-security/tree/main/skills/browser-agent-security
Command: npx skills add https://github.com/maruakshay/mii-ai-security --skill browser-agent-security

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Browser-controlling AI agents expose a remote-code-execution surface when interacting with web content, making them vulnerable to DOM prompt injections, credential harvesting, and session hijacking.

Core Features & Use Cases

DOM sanitization and untrusted content labeling to prevent prompt injection by web content entering the agent's reasoning context.
Credential isolation with a dedicated manager that fills forms without exposing credentials to the agent, enforcing domain checks and user confirmation for submissions.
Session and domain isolation to ensure credentials and session data are scoped to the current task and domain, reducing leakage risk.
Operational guidance for reviews across typical browser automation tasks, including alerting on injection patterns and enforcing human-in-the-loop for critical actions.

Quick Start

Run a browser agent security review on a given web task to identify DOM injection and credential leakage risks.

Frequently Asked Questions about browser-agent-security

High-intent search queries and answers about installing and using this skill.

FAQPage Schema

How do I prevent prompt injection in AI web automation agents?▼

To prevent prompt injection in AI web automation, you need DOM sanitization and untrusted content labeling to stop web content from manipulating the agent's reasoning context. This isolates untrusted inputs before they reach the model.

What is the best way to protect credentials in browser agents?▼

The best way to protect credentials in browser agents is using a dedicated credential manager that fills forms without exposing secrets to the agent's context, enforcing domain checks and user confirmation for submissions.

Why does my browser agent need human-in-the-loop confirmation for form submissions?▼

Browser agents need human-in-the-loop confirmation for form submissions to mitigate remote-code-execution risks and prevent unauthorized actions on phishing pages. This operational guidance ensures critical actions require explicit user approval.

How do I secure AI browser agents navigating complex sites and phishing pages?▼

You secure AI browser agents by enforcing session and domain isolation, ensuring credentials and session data are scoped strictly to the current task. This prevents leakage when agents navigate complex sites or phishing pages.

What security risks exist when using AI agents for web automation tasks?▼

Security risks in AI web automation include DOM prompt injections, credential harvesting, and session hijacking. These occur because interacting with web content exposes a remote-code-execution surface to malicious inputs.

Can I do a security review for browser automation tasks to identify injection risks?▼

Yes, you can run a browser agent security review on a given web task to identify DOM injection and credential leakage risks. This review alerts on injection patterns and enforces operational guidance for browser automation.