claude-for-safari: Give your AI Agent the power to control Safari on macOS. No extensions, no separate browser

by SDLLL · MCP Server · ★ 101

Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h

Featured in: browser-use, Playwright MCP & AI Browser Agents

How to install claude-for-safari

npx skills add SDLLL/claude-for-safari

Taken from the project's README on GitHub.

Security audit verdict: SAFE · quality 59/100

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.

ai-agentapplescriptbrowser-automationbrowser-controlclaude-codeclaude-code-skillclaude-skillmacosmcp-toolsafari

Quick Facts

Stars101
Forks17
LanguageJavaScript
CategoryMCP Server
LicenseMIT
Quality Score59/100
Open Issues5
Last Updated2026-08-04
Created2026-02-28
Platformsbrowser, claude-code, mcp, node
Est. Tokens~3k

About claude-for-safari

Claude for Safari Give your AI Agent the power to control Safari Website · Quick Start · Features · FAQ English | 中文 Why This? You want your AI Agent to help with browser tasks — then you discover: 🔒 Playwright → Separate browser instance, hijacks your session 🧩 Claude for Chrome → Requires Chrome extension, doesn't work with Safari 📝 Copy & paste → Manually feeding page content to AI every...

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How this security grade is produced

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:

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