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 n24q02m · MCP Server · ★ 68
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is crg safe to install? View the security audit →
Better Code Review Graph Renamed (2026-09-13): repo is now — CLI-first ( command). PyPI package stays ; MCP server is a secondary surface. mcp-name: io.github.n24q02m/better-code-review-graph Knowledge graph for token-efficient code reviews -- semantic search and call-graph resolution across your codebase. [ to your Postman coll
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An MCP server that executes Python code in isolated rootless containers with optional MCP server proxying. Imp
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crg is Knowledge graph for token-efficient code reviews -- semantic search and call-graph resolution across your codebase.. It is categorized as a MCP Server with 68 GitHub stars.
crg is primarily written in Python. It covers topics such as ai-agents, ai-coding, antigravity.
You can find installation instructions and usage details in the crg GitHub repository at github.com/n24q02m/crg. The project has 68 stars and 10 forks, indicating an active community.
crg is released under the Apache-2.0 license, making it free to use and modify according to the license terms.
The top alternatives to crg on Agent Skills Hub include postman-mcp-server, sub-agents-mcp, omega-memory. 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.
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