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 Prismer-AI · MCP Server · ★ 1.6k
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is PrismerCloud safe to install? View the security audit →
Prismer Cloud The Harness for AI Agent Evolution Your agent learns from every session. Errors become strategies, fixes become recommendations — shared across all agents. <img src="https://img.shields.io/npm/v/@prismer/sdk?style=flat-square&labelColor=black&color=cb3837&logo=npm&logoColor=white
| Stars | 1,563 |
| Forks | 13 |
| Language | TypeScript |
| Category | MCP Server |
| License | MIT |
| Quality Score | 60.4529986658658/100 |
| Last Updated | 2026-08-06 |
| Created | 2026-03-21 |
| Platforms | claude-code, docker, mcp, node |
| Est. Tokens | ~17k |
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PrismerCloud is Prismer Cloud. It is categorized as a MCP Server with 1.6k GitHub stars.
PrismerCloud is primarily written in TypeScript. It covers topics such as agent-communication, agent-memory, ai-agents.
You can find installation instructions and usage details in the PrismerCloud GitHub repository at github.com/Prismer-AI/PrismerCloud. The project has 1.6k stars and 13 forks, indicating an active community.
PrismerCloud is released under the MIT license, making it free to use and modify according to the license terms.
The top alternatives to PrismerCloud on Agent Skills Hub include mcp-memory-service, memorix, swarmclaw. 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: