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 wellwelwel · Codex Skill · ★ 159
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is lagune safe to install? View the security audit →
🌊 Lagune | lagune.ai Lagune helps your AI agent make a project more secure. You point it at your code, and the agent figures out what your system actually does, then guides you through the security work that matters for it. Lagune works with projects in any programming language and supports 37 agents ✨ Love Lagune? Give us a ⭐ on GitHub! Table of Contents 🌊 Get Started 📦 Dashboard | CLI 💬 Slash Commands 💽 Requirements 🔐 Security 🖖 Acknowledgements 🧑⚖️ License Get Started Lagune adapts to your environment, whether it is a new project or an existing one. [!TIP] No API keys are needed, it runs directly through your own agent [(Claude, Codex, and more)](https://lagune.ai/docs/su
| Stars | 159 |
| Forks | 3 |
| Language | TypeScript |
| Category | Codex Skill |
| License | MIT |
| Quality Score | 66.2220970311485/100 |
| Last Updated | 2026-09-14 |
| Created | 2026-06-17 |
| Platforms | claude-code, codex, node |
| Est. Tokens | ~15k |
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lagune is 🌊 Lagune is your security copilot as you build, your Blue Team when you audit, whether you're a developer or not (no API key needed).. It is categorized as a Codex Skill with 159 GitHub stars.
lagune is primarily written in TypeScript. It covers topics such as agent-skills, ai, ai-agents.
You can find installation instructions and usage details in the lagune GitHub repository at github.com/wellwelwel/lagune. The project has 159 stars and 3 forks, indicating an active community.
lagune is released under the MIT license, making it free to use and modify according to the license terms.
The top alternatives to lagune on Agent Skills Hub include code-abyss, data-structure-protocol, hcom. 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: