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 CopilotKit · MCP Server · ★ 931
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is aimock safe to install? View the security audit →
aimock https://github.com/user-attachments/assets/646bf106-0320-41f2-a9b1-5090454830f3 Mock infrastructure for AI application testing — LLM APIs, image generation, text-to-speech, transcription, video generation, MCP tools, A2A agents, AG-UI event streams, vector databases, search, rerank, and moderation. One package, one port, zero dependencies. Quick Start The aimock Suite aimock mocks everything your AI app talks to: | LLMock
| Stars | 931 |
| Forks | 71 |
| Language | TypeScript |
| Category | MCP Server |
| License | MIT |
| Quality Score | 69.2129286433931/100 |
| Open Issues | 2 |
| Last Updated | 2026-09-18 |
| Created | 2026-03-03 |
| Platforms | mcp, node |
| Est. Tokens | ~15k |
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aimock is Mock everything your AI app talks to — LLM APIs, MCP, A2A, AG-UI, vector DBs, search. One package, one port, zero dependencies.. It is categorized as a MCP Server with 931 GitHub stars.
aimock is primarily written in TypeScript. It covers topics such as ai-testing, aimock, llm.
You can find installation instructions and usage details in the aimock GitHub repository at github.com/CopilotKit/aimock. The project has 931 stars and 71 forks, indicating an active community.
aimock is released under the MIT license, making it free to use and modify according to the license terms.
The top alternatives to aimock on Agent Skills Hub include casibase, Unity-MCP, py-gpt. 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: