sub-agents-mcp: Define task-specific AI sub-agents in Markdown for any MCP-compatible tool

by shinpr · MCP Server · ★ 99

Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h

Featured in: Claude Code Hooks, Subagents & Statusline

Security audit verdict: SAFE · quality 78/100

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.

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Quick Facts

Stars99
Forks17
LanguageTypeScript
CategoryMCP Server
LicenseMIT
Quality Score78/100
Last Updated2026-10-22
Created2025-08-15
Platformsclaude-code, codex, mcp, node
Est. Tokens~17k

About sub-agents-mcp

Sub-Agents MCP Server Bring Claude Code–style sub-agents to any MCP-compatible tool. This MCP server lets you define task-specific AI agents (like "test-writer" or "code-reviewer") in markdown files, and execute them via Cursor CLI, Claude Code, Gemini CLI, or Codex backends. Why? Claude Code offers powerful sub-agent workflows—but they're limited to its own environment.

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How this security grade is produced

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:

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