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 LunarWerxs · MCP Server · ★ 227
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is SageThumbs-2k safe to install? View the security audit →
SageThumbs 2K Thumbnails for everything Windows won't show you. A modern, crash-isolated Rust shell extension for Windows 11: the clean-room revival of the legendary (but decade-abandoned) SageThumbs. ⬇ Download · Features · Formats · FAQ · [Changelog](https://github.com/LunarWerxs/SageThumbs-2k/blob/main/doc
| Stars | 227 |
| Forks | 9 |
| Language | Rust |
| Category | MCP Server |
| Quality Score | 56.6866508009759/100 |
| Open Issues | 5 |
| Last Updated | 2026-10-03 |
| Created | 2026-06-11 |
| Platforms | mcp, rust |
| Est. Tokens | ~29k |
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SageThumbs-2k is Windows 11 shell extension (Rust): Explorer thumbnails for 331 file types Windows can't show, including camera RAW, PSD, HEIC/AVIF, video, ebooks, comics and CAD. Crash-isolated, source-available rebu. It is categorized as a MCP Server with 227 GitHub stars.
SageThumbs-2k is primarily written in Rust. It covers topics such as avif, camera-raw, codec.
You can find installation instructions and usage details in the SageThumbs-2k GitHub repository at github.com/LunarWerxs/SageThumbs-2k. The project has 227 stars and 9 forks, indicating an active community.
The top alternatives to SageThumbs-2k on Agent Skills Hub include flow-like, mcp-client-for-ollama, vestige. 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: