by PKUfudawei · MCP Server · ★ 126
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
git clone https://github.com/PKUfudawei/dsh-capability-menu.git
Taken from the project's README on GitHub.
None of the 43 rules matched — no credential harvesting, no data exfiltration, no curl-pipe-shell installer. Scanned against 43 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.
| Stars | 126 |
| Forks | 5 |
| Language | TypeScript |
| Category | MCP Server |
| License | Apache-2.0 |
| Quality Score | 66/100 |
| Open Issues | 2 |
| Last Updated | 2026-11-11 |
| Created | 2026-08-19 |
| Platforms | mcp, node |
| Est. Tokens | ~16k |
dsh-capability-menu 为 DeepSeek Harness 统一管理 Tools 和 Skills 的暴露水平(上下文占用大小)与执行方式 <img src="https://img.shie
These tools work well together with dsh-capability-menu for enhanced workflows:
Looking for a dsh-capability-menu alternative? If you're comparing dsh-capability-menu with other mcp server tools, these 6 projects are the closest alternatives on Agent Skills Hub — ranked by topic overlap, star count, and community traction.
MCP management console for the official DeepSeek Harness MCP client: /mcp command with health diagnostics and
Structural memory for AI coding agents. Bi-temporal graph, MCP-native, zero LLM calls. Cursor · Claude Code ·
A local-first personal knowledge layer for AI agents. Build evolving knowledge spaces with LLM Wiki, knowledge
Composable mathematics tools for agents
Task-aware reasoning-mode router for DeepSeek Harness: three measured behavior bands (spec/mixed/react) with p
🔍微信聊天数据分析的本地化AI-agent(Docker/Windows/MacOS) · AI分身 / 大模型分析 / 好友排行 / 词云 / 情感趋势 / 群聊画像
Explore other popular mcp server tools:
Grades come from a rule-based scan built on the SlowMist agent-security taxonomy: 43 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: