No red flags found in any of the 11 categories — no credential harvesting, no data exfiltration, no curl-pipe-shell installer. Scanned against the SlowMist agent-security taxonomy, refreshed every 8 hours. Full audit →
by Huzy85 · MCP Server · ★ 7
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is fantoma safe to install? View the security audit →
Stealth browser for AI agents that runs on small local models. Read any site as Markdown, log in without an LLM, MCP server included.
| Stars | 7 |
| Forks | 0 |
| Language | Python |
| Category | MCP Server |
| License | MIT |
| Quality Score | 49.2176110994614/100 |
| Last Updated | 2026-09-24 |
| Created | 2026-03-24 |
| Platforms | browser, mcp, python |
| Est. Tokens | ~13k |
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fantoma is Stealth browser for AI agents that runs on small local models. Read any site as Markdown, log in without an LLM, MCP server included.. It is categorized as a MCP Server with 7 GitHub stars.
fantoma is primarily written in Python. It covers topics such as accessibility, ai-agent, ai-agents.
You can find installation instructions and usage details in the fantoma GitHub repository at github.com/Huzy85/fantoma. The project has 7 stars and 0 forks, indicating an active community.
fantoma is released under the MIT license, making it free to use and modify according to the license terms.
The top alternatives to fantoma on Agent Skills Hub include camofox-mcp, docker-stealthy-auto-browse, zeph. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.
Grades come from a rule-based scan built on the SlowMist agent-security taxonomy, covering 11 red-flag categories including credential harvesting, data exfiltration, and curl | sh installers. It is a first-layer scan, not a manual audit — we say so rather than overstate it.
The scale of the problem is documented independently: Liu et al. (2026), in a study of 31,132 agent skills, report that 26.1% contain security vulnerabilities. Our own full-catalog census is published as a citable open dataset.
Sources & who's responsible: