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scientific-skills-hub

by liangj5413-cyber
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Python
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    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

    B3.2/5.0

    Scored across 8 tools

    Disambiguation4/5

    Each tool targets a clearly distinct operation: search, card metadata, file content, bundle fetch, compatibility, diff, diagnostics, and issue reporting. The three get_skill_* tools have similar prefixes but their descriptions clearly separate card metadata, directory file content, and packaged bundle downloads.

    Naming Consistency4/5

    Tool names mostly follow a consistent verb_noun snake_case pattern such as search_skills, check_compatibility, and report_skill_issue. The one-word command 'doctor' deviates slightly, but it is a recognizable conventional diagnostic command and does not create confusion.

    Tool Count5/5

    Eight tools is well within the ideal 3-15 range and each tool fills a distinct role in the scientific-skills hub workflow: discovery, inspection, retrieval, compatibility, version comparison, health checking, and issue feedback. No tool feels redundant or extraneous.

    Completeness4/5

    The set covers the main consumption workflow: search, view card, read content, fetch bundle, check compatibility, diff versions, diagnose issues, and report problems. Minor gaps exist around explicit listing or publishing new skills, but those appear outside the hub's stated consumption-focused scope.

    Maintenance

    ActivityMaintained
    ResponsivenessSyncing

    Resources