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 agent-sh · MCP Server · ★ 422
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is agnix safe to install? View the security audit →
agnix Lint agent configurations before they break your workflow Catch broken agent configs before your AI tools silently ignore them.423 rules across Claude Code, Codex CLI, OpenCode, Cursor, Copilot, and more -validating CLAUDE.md, SKILL.md, hooks, MCP configs, and other agent files. Auto-fix <a href="https://mark
| Stars | 422 |
| Forks | 31 |
| Language | Rust |
| Category | MCP Server |
| License | Apache-2.0 |
| Quality Score | 69.0019664025383/100 |
| Last Updated | 2026-09-20 |
| Created | 2026-01-30 |
| Platforms | claude-code, cli, codex, mcp, rust, vscode |
| Est. Tokens | ~24k |
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agnix is The missing linter and lsp for AI coding assistants. Validate CLAUDE.md, AGENTS.md, SKILL.md, hooks, MCP. Plugin for all major IDEs included, with autofixes.. It is categorized as a MCP Server with 422 GitHub stars.
agnix is primarily written in Rust. It covers topics such as agent, ai, ai-agents.
You can find installation instructions and usage details in the agnix GitHub repository at github.com/agent-sh/agnix. The project has 422 stars and 31 forks, indicating an active community.
agnix is released under the Apache-2.0 license, making it free to use and modify according to the license terms.
The top alternatives to agnix on Agent Skills Hub include postman-mcp-server, vscode-mcp, OpenContext. 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: