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 minipuft · MCP Server · ★ 186
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is claude-prompts-mcp safe to install? View the security audit →
Claude Prompts A Model Context Protocol (MCP) server for prompt workflows. Written once, always followed. Craft reusable prompt templates with quality gates and reasoning guidance. Orchestrate multi-step workflow chains with a composable operator syntax. Export as native skills to any client. Quick Start · [What You Get](#wha
| Stars | 186 |
| Forks | 33 |
| Language | TypeScript |
| Category | MCP Server |
| License | MIT |
| Quality Score | 76.117800182554/100 |
| Open Issues | 9 |
| Last Updated | 2026-09-23 |
| Created | 2025-03-02 |
| Platforms | claude-code, cli, gemini, mcp, node |
| Est. Tokens | ~18k |
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claude-prompts-mcp is MCP server for reusable prompt templates, multi-step workflow chains, and quality gates. Compose agentic workflows with an operator syntax; export as native skills to Claude Code, Cursor, OpenCode, an. It is categorized as a MCP Server with 186 GitHub stars.
claude-prompts-mcp is primarily written in TypeScript. It covers topics such as agentic-workflows, ai-automation, ai-development.
You can find installation instructions and usage details in the claude-prompts-mcp GitHub repository at github.com/minipuft/claude-prompts-mcp. The project has 186 stars and 33 forks, indicating an active community.
claude-prompts-mcp is released under the MIT license, making it free to use and modify according to the license terms.
The top alternatives to claude-prompts-mcp on Agent Skills Hub include claude-historian-mcp, claude-emporium, deterministic-agent-control-protocol. 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: