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 codingworkflow · Agent Tool · ★ 88
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is ai-code-fusion safe to install? View the security audit →
AI Code Fusion Features A desktop app to prepare code repositories for AI workflows. Visual directory explorer for selecting code files File filtering with custom patterns and support Token counting support for selected files Processed output ready to copy/export for AI tools Export format selector: Markdown or XML Cross-platform support (Windows, macOS, Linux) UI panel screenshots: Processed Output Example Full sample files: Markdown: XML: Markdown export example ts export function App() { return Hello AI Code Fusion; } XML export example Download Release Download the latest packaged build from GitHub Releases: https://github.com/codingworkflow/ai-code-fusion/releases Windows: download and run the installer macOS: download the , drag app to Applications Linux: download the , then run: Build from Source Re
| Stars | 88 |
| Forks | 1 |
| Language | TypeScript |
| Category | Agent Tool |
| License | GPL-3.0 |
| Quality Score | 66.5754103522983/100 |
| Open Issues | 17 |
| Last Updated | 2026-09-03 |
| Created | 2025-03-07 |
| Platforms | claude-code, node |
| Est. Tokens | ~14k |
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ai-code-fusion is Desktop app to process repository content into one file. It is categorized as a Agent Tool with 88 GitHub stars.
ai-code-fusion is primarily written in TypeScript. It covers topics such as ai, ai-tools, chatgpt.
You can find installation instructions and usage details in the ai-code-fusion GitHub repository at github.com/codingworkflow/ai-code-fusion. The project has 88 stars and 1 forks, indicating an active community.
ai-code-fusion is released under the GPL-3.0 license, making it free to use and modify according to the license terms.
The top alternatives to ai-code-fusion on Agent Skills Hub include ai-gate, claudepro-directory, claude-historian-mcp. 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: