by datacommonsorg · MCP Server · ★ 139
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
None of the 42 rules matched — no credential harvesting, no data exfiltration, no curl-pipe-shell installer. Scanned against 42 published rules built on the SlowMist agent-security taxonomy, refreshed every 8 hours.
The quality score combines nine heuristic checks of the repo and its README: completeness, clarity, specificity, examples, structure, agent readiness, step-by-step content, instruction quality and security notes. It rates how well the project explains itself to an agent, not the code.
| Stars | 139 |
| Forks | 36 |
| Language | Python |
| Category | MCP Server |
| License | Apache-2.0 |
| Quality Score | 44/100 |
| Open Issues | 27 |
| Last Updated | 2026-09-15 |
| Created | 2025-06-26 |
| Platforms | mcp, python |
| Est. Tokens | ~13k |
Data Commons Agent Toolkit This repo contains MCP tools and sample agents for fetching public information from Data Commons. User-facing documentation is at . MCP Server Data Commons MCP Server package PyPI: datacommons-mcp Sample agents Data Commons sample agents
These tools work well together with agent-toolkit for enhanced workflows:
Explore other popular mcp server tools:
Grades come from a rule-based scan built on the SlowMist agent-security taxonomy: 42 published rules, covering credential harvesting, data exfiltration, curl | sh installers and more. 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: