by Canonry · MCP Server · ★ 198
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
Featured in: Claude SEO Skills & SEO MCP Servers
npm install -g @canonry/canonry
git clone https://github.com/Canonry/canonry.git && cd canonryTaken from the project's README on GitHub.
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 | 198 |
| Forks | 37 |
| Language | TypeScript |
| Category | MCP Server |
| License | MIT |
| Quality Score | 65/100 |
| Open Issues | 51 |
| Last Updated | 2026-11-07 |
| Created | 2026-03-09 |
| Platforms | browser, cli, mcp, node |
| Est. Tokens | ~17k |
Canonry Canonry is an agent-first (CLI, MCP, API), open-source AEO operating platform with a comprehensive web UI. Track AI visibility over time, investigate changes across search and traffic, and measure progress after you or your agent acts. Self-hosted, using SQLite, with your own (BYOK) provider keys. The web UI and your agent see the same evidence.
These tools work well together with canonry for enhanced workflows:
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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: