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 deedy5 · MCP Server · ★ 2.9k
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is ddgs safe to install? View the security audit →
DDGS | Dux Distributed Global Search A metasearch library that aggregates results from diverse web search services. Table of Contents Install CLI version API Server (with MCP Integration) Engines DDGS class text() images() videos() news() books() Disclaimer Install CLI version Go To TOP API Server (with MCP Integration) CLI Docker compose Bash script Available Endpoints MCP Endpoints (for AI assistance):
| Stars | 2,916 |
| Forks | 278 |
| Language | Python |
| Category | MCP Server |
| License | MIT |
| Quality Score | 67.630958203923/100 |
| Open Issues | 27 |
| Last Updated | 2026-08-26 |
| Created | 2021-04-25 |
| Platforms | browser, docker, mcp, python |
| Est. Tokens | ~16k |
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ddgs is A metasearch library that aggregates results from diverse web search services. It is categorized as a MCP Server with 2.9k GitHub stars.
ddgs is primarily written in Python. It covers topics such as api, ddgs, dht.
You can find installation instructions and usage details in the ddgs GitHub repository at github.com/deedy5/ddgs. The project has 2.9k stars and 278 forks, indicating an active community.
ddgs is released under the MIT license, making it free to use and modify according to the license terms.
The top alternatives to ddgs on Agent Skills Hub include wigolo, XHS-Downloader, klavis. 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: