agent-safehouse: Sandbox your local AI agents so they can read/write only what they need

by eugene1g · Agent Tool · ★ 2.1k

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

Security audit verdict: SAFE · quality 65/100

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. Full audit →

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-agentsclaude-codellmmacossandboxsecurity

Quick Facts

Stars2,132
Forks99
LanguageShell
CategoryAgent Tool
LicenseApache-2.0
Quality Score65/100
Open Issues26
Last Updated2026-11-02
Created2026-02-09
Platformsclaude-code, cli
Est. Tokens~11k

About agent-safehouse

Agent Safehouse Sandbox your LLM coding agents on macOS so they can only access the files and integrations they actually need. Agent Safehouse uses with composable policy profiles and a deny-first model. It supports major coding agents and app-hosted agent workflows while keeping normal development usage practical.

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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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