by antibrow · MCP Server · ★ 124
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
None of the 42 rules matched — no credential harvesting, no data exfiltration, no curl-pipe-shell installer. Scanned against 42 published rules built on the SlowMist agent-security taxonomy, refreshed every 8 hours.
The quality score combines nine heuristic checks of the repo and its README: completeness, clarity, specificity, examples, structure, agent readiness, step-by-step content, instruction quality and security notes. It rates how well the project explains itself to an agent, not the code.
| Stars | 124 |
| Forks | 0 |
| Language | JavaScript |
| Category | MCP Server |
| License | MIT |
| Quality Score | 58/100 |
| Open Issues | 18 |
| Last Updated | 2026-09-12 |
| Created | 2026-08-17 |
| Platforms | browser, mcp, node |
| Est. Tokens | ~5k |
dsh-antibrow A DeepSeek Harness plugin that gives the agent a browser with an identity. The browser is AntiBrow: a Chromium fork with fingerprint configuration at engine level, driven through the standard Playwright API. SDK docs are at antibrow.com/docs, and the dated detection measurements - including the checks that fail - are at antibrow.com/reports.
These tools work well together with dsh-antibrow for enhanced workflows:
Looking for a dsh-antibrow alternative? If you're comparing dsh-antibrow with other mcp server tools, these 6 projects are the closest alternatives on Agent Skills Hub — ranked by topic overlap, star count, and community traction.
Structural memory for AI coding agents. Bi-temporal graph, MCP-native, zero LLM calls. Cursor · Claude Code ·
Open-source stealth Chromium with engine-level fingerprint spoofing - de-Googled, drop-in Playwright, fully bu
Self-hosted Google search scraper for Python. Scrape Google SERP results with a real Chrome browser and your o
🌐Web Agent Protocol (WAP) - Record and replay user interactions in the browser with MCP support
Composable mathematics tools for agents
Native Safari browser automation for AI agents. 98 tools via AppleScript — zero overhead, keeps logins, runs s
Explore other popular mcp server tools:
Grades come from a rule-based scan built on the SlowMist agent-security taxonomy: 42 published rules, covering credential harvesting, data exfiltration, curl | sh installers and more. 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: