Anti-detect browser automation CLI & Skills for AI agents. Use when the user needs to interact with websites with bot detection, CAPTCHAs, or anti-bot blocks, including navigating pages, filling forms, clicking buttons, taking screenshots, extracting data, testing web apps, or automating any browser task that requires bypassing fingerprint checks.
71
88%
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Critical
Do not install without reviewing
Security
3 findings: 2 critical severity, 1 high severity. Installing this skill is not recommended: please review these findings carefully if you do intend to do so.
Detected a suspicious URL in the skill instructions that could lead the agent to download and execute malicious scripts or binaries. This includes links to executables from untrusted sources, typosquatting of official packages, URL shorteners that obscure the destination, and personal file hosting services.
Contains a GitHub repository (https://github.com/Bin-Huang/camoufox-cli) that is used to install/download a browser binary — GitHub releases from an unvetted/unknown account distributing executables are a common malware delivery vector.
Detected high-risk code patterns in the skill content — including its prompts, tool definitions, and resources — such as data exfiltration, backdoors, remote code execution, credential theft, system compromise, supply chain attacks, and obfuscation techniques.
The docs describe an "anti-detect" browser automation tool that intentionally evades bot detection (navigator.webdriver=false, fingerprint spoofing), enables exporting/importing auth cookies and persistent device fingerprints, and exposes eval/screenshot APIs — features clearly designed to facilitate session theft, account takeover, large-scale evasion, and automated abuse.
The skill handles credentials insecurely by requiring the agent to include secret values verbatim in its generated output. This exposes credentials in the agent’s context and conversation history, creating a risk of data exfiltration.
The skill includes explicit examples embedding plaintext credentials in CLI commands (e.g., fill commands with "password123"/"pass" and a proxy URL pattern with user:pass), which would require an LLM to output secret values verbatim if it replicates those patterns.
Low
Low-risk findings.
1 low severity finding. Worth noting, but not necessarily harmful.
The skill exposes the agent to untrusted, user-generated content from public third-party sources, creating a risk of indirect prompt injection. This includes browsing arbitrary URLs, reading social media posts or forum comments, and analyzing content from unknown websites.
In SKILL.md the workflow calls `camoufox-cli open <url>` and then ingests first-party page content via `camoufox-cli snapshot`/`snapshot -i` (ARIA tree) before interaction, meaning outsider-authored text from any attacker-controlled URL can be read at runtime when opened.
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