by kuafuai · Agent Tool · ★ 6.0k
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🔒 Is DevOpsGPT safe to install? View the security audit →
DevOpsGPT: AI-Driven Software Development Automation Solution 💡 Get Help - Q&A 💡 Submit Requests - Issue 💡 Technical exchange - service@kuafuai.net Introduction Welcome to the AI Driven Software Development Automation Solution, abbreviated as DevOpsGPT. We combine LLM (Large Language Model) with DevOps tools to convert natural language requirements into working software. This innovative feature greatly improves development efficiency, shortens development cycles, and reduces communication costs, resulting in higher-quality software delivery. Features and Benefits Improved development efficiency: No need for tedious requirement
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 →
| Stars | 5,964 |
| Forks | 718 |
| Language | HTML |
| Category | Agent Tool |
| Quality Score | 61.9382109990475/100 |
| Open Issues | 21 |
| Last Updated | 2026-10-04 |
| Created | 2023-07-12 |
| Est. Tokens | ~18k |
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DevOpsGPT is Multi agent system for AI-driven software development. Combine LLM with DevOps tools to convert natural language requirements into working software. Supports any development language and extends the e. It is categorized as a Agent Tool with 6.0k GitHub stars.
DevOpsGPT is primarily written in HTML.
You can find installation instructions and usage details in the DevOpsGPT GitHub repository at github.com/kuafuai/DevOpsGPT. The project has 6.0k stars and 718 forks, indicating an active community.
The top alternatives to DevOpsGPT on Agent Skills Hub include open-saas, notebooklm-skill, agent-skills. 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: