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 monid-ai · Agent Tool · ★ 314
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is monid safe to install? View the security audit →
monid.ai · Docs · Tool catalog · Quickstart · Development guide Monid (OpenRouter for agent tools) OpenRouter, but for agent tools. One base URL, one key, and an agent can reach 2,000+ tools across 72+ providers: web search and scraping, people and company enrichment, social platforms, reviews and market data, and video, image and voice generation. Are you an AI agent? Fetch and save it to your skill directory. It does the rest. This repo is the connector layer, the one generic framework every endpoint above is described in: how it is called, what it accepts, what it returns, how its usage is counted. A connector is declarative, so a
| Stars | 314 |
| Forks | 44 |
| Language | TypeScript |
| Category | Agent Tool |
| License | MIT |
| Quality Score | 67.6357723180051/100 |
| Open Issues | 9 |
| Last Updated | 2026-09-20 |
| Created | 2026-08-26 |
| Platforms | node |
| Est. Tokens | ~16k |
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monid is Monid - OpenRouter for agent tools. It is categorized as a Agent Tool with 314 GitHub stars.
monid is primarily written in TypeScript. It covers topics such as ai-agents, developer-tools.
You can find installation instructions and usage details in the monid GitHub repository at github.com/monid-ai/monid. The project has 314 stars and 44 forks, indicating an active community.
monid is released under the MIT license, making it free to use and modify according to the license terms.
The top alternatives to monid on Agent Skills Hub include atlassian-mcp-server, idea-reality-mcp, DeepMCPAgent. 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: