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 Eriemon · Codex Skill · ★ 223
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English | 中文 Verilog Generator A Codex-ready agent skill for disciplined Verilog-2001 RTL workflows. Verilog Generator turns an AI coding agent into a more reliable RTL engineering assistant. It provides trigger metadata, workflow instructions, interface templates, deterministic runtime helpers, examples, and validation gates for moving from confirmed hardware intent to synthesizable Verilog and self-checking testbenches. This repository is primarily an agent skill package. The Python CLI is included as the deterministic execution layer, but the main interface is the skill surface an agent can load and follow. Why It Exists RTL work needs precision before code. V
| Stars | 223 |
| Forks | 11 |
| Language | Python |
| Category | Codex Skill |
| License | Apache-2.0 |
| Quality Score | 69.597479738213/100 |
| Last Updated | 2026-08-20 |
| Created | 2026-05-08 |
| Platforms | codex, python |
| Est. Tokens | ~15k |
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verilog-generator is Agent skill for Verilog-2001 RTL generation and FPGA design workflows.. It is categorized as a Codex Skill with 223 GitHub stars.
verilog-generator is primarily written in Python. It covers topics such as agent-skill, codex-skill, eda.
You can find installation instructions and usage details in the verilog-generator GitHub repository at github.com/Eriemon/verilog-generator. The project has 223 stars and 11 forks, indicating an active community.
verilog-generator is released under the Apache-2.0 license, making it free to use and modify according to the license terms.
The top alternatives to verilog-generator on Agent Skills Hub include vivado-mcp, SynthPilot, AI-bounty-skill. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.