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 bbfox0703 · Claude Skill · ★ 50
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is UE5CEDumper safe to install? View the security audit →
UE5CEDumper The Live Bridge between Unreal Engine Runtime and Cheat Engine. UE5CEDumper is a interactive inspector toolchain. It provides a live window into the game's memory, allowing you to browse objects, find instances, and export CE-ready structures in real-time. It's built for the active table maker. It bridges the gap between seeing an offset and actually using it in Cheat Engine. UE5CEDumper is not meant to be a another dumper that extracts large amounts of data for analysis. Instead, it focuses on quickly finding UE structures and integrating with CE for live development. Think of it as a general-purpose UE tool rather than a specialized dumper. Sample screenshots <img src="./img/ValueSearc
| Stars | 50 |
| Forks | 9 |
| Language | C# |
| Category | Claude Skill |
| License | MIT |
| Quality Score | 56.4728982970631/100 |
| Last Updated | 2026-08-19 |
| Created | 2026-02-18 |
| Platforms | claude-code, dotnet |
| Est. Tokens | ~22k |
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UE5CEDumper is A x64 UE4/UE5 runtime data inspector and structure explorer for development. It is categorized as a Claude Skill with 50 GitHub stars.
UE5CEDumper is primarily written in C#. It covers topics such as cheat-engine-program, claude-code, gamehacking.
You can find installation instructions and usage details in the UE5CEDumper GitHub repository at github.com/bbfox0703/UE5CEDumper. The project has 50 stars and 9 forks, indicating an active community.
UE5CEDumper is released under the MIT license, making it free to use and modify according to the license terms.
The top alternatives to UE5CEDumper on Agent Skills Hub include soft-ue-cli, everything-game-dev-code, ECABridge. 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: