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 openwalrus · Codex Skill · ★ 91
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is walrus safe to install? View the security audit →
Crabtalk [![Crates.io][crates-badge]][crates] [![Docs][docs-badge]][docs] [![Discord][discord-badge]][discord] Agent daemon. Runs agents, dispatches tools, connects to MCP servers. Start it, talk to it, extend it with packages. Or and use it to pull the rest. See the [installation guide][install] for details. Quick Start Full config reference: . How It Works The daemon ships with built-in tools (shell, task delegation, memory), MCP server integration, and skills (Markdown prompt files). Apps are agent-powered experiences and standalone services built on top of the daemon — independent binaries that connect via auto-discovery. Learn More [The Crabtalk Book][book] — manifesto, architecture, and design RFCs Configuration — config.toml reference Contributing — architecture, layering, and data flow License MIT [crates-badge]: https://img.shields.io/crates/v/crabtalk.svg
| Stars | 91 |
| Forks | 13 |
| Language | Rust |
| Category | Codex Skill |
| License | MIT |
| Quality Score | 61.6028962319126/100 |
| Open Issues | 2 |
| Last Updated | 2026-03-10 |
| Created | 2025-01-01 |
| Platforms | rust |
| Est. Tokens | ~148k |
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walrus is Core abstractions for your agentic workflow. It is categorized as a Codex Skill with 91 GitHub stars.
walrus is primarily written in Rust. It covers topics such as agent, agentic, agentic-workflow.
You can find installation instructions and usage details in the walrus GitHub repository at github.com/openwalrus/walrus. The project has 91 stars and 13 forks, indicating an active community.
walrus is released under the MIT license, making it free to use and modify according to the license terms.
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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: