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 19-84 · MCP Server · ★ 342
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is redd-archiver safe to install? View the security audit →
Redd-Archiver []() []() []() ⭐ If you find this project useful, please star the repo! It helps others discover the tool and motivates continued development. Transform compressed data dumps into browsable HTML archives with flexible deployment options. Redd-Archiver supports offline browsing via sorted index pages, full-text search with Docker deployment, or fully dynamic serving straight from PostgreSQL. Archives stay current with monthly incremental updates from Arctic Shift dumps. Features mobile-first design, multi-platform support, operator-selectable themes, and PostgreSQL full-text indexing. Supported Platforms:
| Stars | 342 |
| Forks | 19 |
| Language | Python |
| Category | MCP Server |
| License | Unlicense |
| Quality Score | 63.2748210993579/100 |
| Last Updated | 2026-08-23 |
| Created | 2025-12-28 |
| Platforms | docker, mcp, python |
| Est. Tokens | ~19k |
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redd-archiver is A PostgreSQL-backed archive generator that creates browsable HTML archives from link aggregator platforms including Reddit, Voat, and Ruqqus.. It is categorized as a MCP Server with 342 GitHub stars.
redd-archiver is primarily written in Python. It covers topics such as archival, archive, data-preservation.
You can find installation instructions and usage details in the redd-archiver GitHub repository at github.com/19-84/redd-archiver. The project has 342 stars and 19 forks, indicating an active community.
redd-archiver is released under the Unlicense license, making it free to use and modify according to the license terms.
The top alternatives to redd-archiver on Agent Skills Hub include mcp-searxng, reddit-mcp-buddy, mcpcan. 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: