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agentskill-mcp

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    Deploy Server
    One endpoint for every MCP toolRayrun runs every MCP server behind one URL and holds the credentials. Each call is decided per client, tool, and argument, then recorded.ray.runAd

    TDQS

    A3.5/5.0

    Scored across 4 tools

    Disambiguation5/5

    Each tool has a clearly distinct purpose with no overlap: get_skill retrieves detailed information for a specific skill, get_trending lists popular skills, install_skill handles installation, and search_skills performs keyword-based searches. The descriptions reinforce these distinct roles, making misselection unlikely.

    Naming Consistency5/5

    All tool names follow a consistent verb_noun pattern using snake_case (e.g., get_skill, install_skill). The verbs (get, get, install, search) are appropriate and predictable, creating a coherent naming convention throughout the set.

    Tool Count5/5

    With 4 tools, this server is well-scoped for its purpose of managing AI agent skills. Each tool serves a clear and necessary function (discovery, retrieval, installation), and none feel redundant or missing, making the count appropriate for the domain.

    Completeness4/5

    The tool set covers core workflows for skill discovery and installation effectively, including search, trending, detailed retrieval, and installation. A minor gap exists in lifecycle management, such as updating or uninstalling skills, but agents can work around this with the provided tools for most use cases.

    Maintenance

    ActivityInactive
    ResponsivenessUnresponsive

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