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 irahardianto · Agent Tool · ★ 157
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is awesome-agv safe to install? View the security audit →
Awesome AGV A rugged, high-quality configuration suite for AI Agents. Getting Started · View Rules & Skills · Request Feature · About Awesome AGV Awesome AGV provides a comprehensive sets of standards and practices designed to elevate the capabilities of AI coding agents. It provides a suite of strict rules distilled from software engineering best practices that ensure generated code is secure, defensible, and maintainable. It also provides specialized skills that will help throughout software development. Instead of just generating code that works, the rules and skills ensures agents generate code that survives. ⚠️ Opinionated by design. Awesome AGV ships with opinionated defaults for specific technology stacks. See Opinionated Technology Choices for details and how to customize. While this configuration is originally designed for Antigravity, it is built on standard markdown-based context protocols that are easily portable to other AI coding tools. As a matter of fact, the original form [Technical Constitution](https://github.com/irahardianto/technical-constitution/blob/main/
| Stars | 157 |
| Forks | 53 |
| Language | JavaScript |
| Category | Agent Tool |
| License | MIT |
| Quality Score | 70.4448327310528/100 |
| Open Issues | 4 |
| Last Updated | 2026-09-27 |
| Created | 2026-01-24 |
| Platforms | claude-code, node |
| Est. Tokens | ~22k |
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awesome-agv is Comprehensive sets of standards and practices designed to elevate the capabilities of AI coding agents.. It is categorized as a Agent Tool with 157 GitHub stars.
awesome-agv is primarily written in JavaScript. It covers topics such as agent-rules, ai-agent, ai-coding.
You can find installation instructions and usage details in the awesome-agv GitHub repository at github.com/irahardianto/awesome-agv. The project has 157 stars and 53 forks, indicating an active community.
awesome-agv is released under the MIT license, making it free to use and modify according to the license terms.
The top alternatives to awesome-agv on Agent Skills Hub include ai-development-patterns, Overture, agentic-design-patterns. 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: