leash: Leash by StrongDM - take your AI agents for a walk

by strongdm · Codex Skill · ★ 592

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

How to install leash

npm install -g @strongdm/leash
brew install --cask leash-app

Taken from the project's README on GitHub. Check the security audit before running it.

Security audit verdict: SAFE · quality 70/100

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.

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Quick Facts

Stars592
Forks45
LanguageGo
CategoryCodex Skill
LicenseApache-2.0
Quality Score70/100
Open Issues21
Last Updated2026-04-06
Created2025-10-21
Platformsclaude-code, cli, codex, go
Est. Tokens~72k

About leash

Leash Leash wraps AI coding agents in containers and monitors their activity. You define policies in Cedar; Leash enforces them instantly. Requirements Docker, Podman, or OrbStack macOS or Linux (WSL, too!) Installation Recommended method is via npm: Alternative ways follow: Download the latest pre-built release binary from the releases page.

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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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