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 zavora-ai · Agent Tool · ★ 647
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is adk-rust safe to install? View the security audit →
ADK-Rust 🚀 v0.9.1 Released! Composable Template System — 8 base templates, 9 addons, 5 enterprise patterns via . Plus: (compile without deploying), provider-aware schema normalization, A2A Simple Scaffolding, and security fixes (hickory-proto, openssl, rubato, similar). See CHANGELOG for full details. Contributors: Many thanks to @mikefaille — AdkIdentity design, realtime audio, LiveKit bridge, skill system. @rohan-panickar — OpenAI-compatible providers, xAI, multimodal content. @dhruv-pant — Gemini service account auth. @tomtom215 — A2A Protocol v1.
| Stars | 647 |
| Forks | 98 |
| Language | Rust |
| Category | Agent Tool |
| Quality Score | 66.3340351317139/100 |
| Open Issues | 8 |
| Last Updated | 2026-09-11 |
| Created | 2025-11-23 |
| Platforms | cli, rust |
| Est. Tokens | ~32k |
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adk-rust is Rust Agent Development Kit (ADK-Rust): Build AI agents in Rust with modular components for models, tools, memory, realtime voice, and more. ADK-Rust is a flexible framework for developing AI agents wi. It is categorized as a Agent Tool with 647 GitHub stars.
adk-rust is primarily written in Rust. It covers topics such as adk, adk-agent, adk-artifact.
You can find installation instructions and usage details in the adk-rust GitHub repository at github.com/zavora-ai/adk-rust. The project has 647 stars and 98 forks, indicating an active community.
The top alternatives to adk-rust on Agent Skills Hub include yomo, open-trading-api, nerve. 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: