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 hanlulong · MCP Server · ★ 76
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is openecon-data safe to install? View the security audit →
OpenEcon Data Give your AI agent accurate economic data. 330K indicators from FRED, World Bank, IMF, Eurostat, and 6 more sources — one MCP command away. Website · Live App · D
| Stars | 76 |
| Forks | 14 |
| Language | Python |
| Category | MCP Server |
| Quality Score | 68.4084574072535/100 |
| Open Issues | 1 |
| Last Updated | 2026-09-18 |
| Created | 2025-10-19 |
| Platforms | browser, mcp, python |
| Est. Tokens | ~17k |
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openecon-data is Give your AI agent accurate economic data. 330K indicators from FRED, World Bank, IMF, Eurostat & more. MCP server + web UI.. It is categorized as a MCP Server with 76 GitHub stars.
openecon-data is primarily written in Python. It covers topics such as ai, data-visualization, economic-data.
You can find installation instructions and usage details in the openecon-data GitHub repository at github.com/hanlulong/openecon-data. The project has 76 stars and 14 forks, indicating an active community.
The top alternatives to openecon-data on Agent Skills Hub include FirstData, ollama-mcp-bridge, kingdee-k3cloud-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: