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io.github.KoyoYeager/pystub

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    Deploy Server
    Shareable, User-Owned Context BackendPeople, applications, and agents read, write, and coordinate together in one context lake. Reach it over MCP, a CLI, a Python SDK, or REST.fulcradynamics.comAd

    TDQS

    A3.9/5.0

    Scored across 5 tools

    Disambiguation5/5

    Each tool has a clearly distinct purpose: analyze classifies packages, check dives into specific usage, generate produces stubs, generate_submodule handles C extension submodules, and graph visualizes imports. No overlap.

    Naming Consistency5/5

    All tool names follow a consistent pattern: lowercase English verbs (analyze, check, generate, graph) with one compound (generate_submodule) that follows the verb_noun convention. No mixing of styles.

    Tool Count5/5

    5 tools is well-scoped for the domain of import analysis and stub generation, covering detection, inspection, generation (both regular and submodule), and visualization without unnecessary tools.

    Completeness4/5

    The tool set covers the core workflow: detection, detailed analysis, stub generation for both regular and C extension packages, and visualization. Missing a tool to actually write stubs to disk or apply them, but this can be done externally.

    Maintenance

    ActivityInactive
    ResponsivenessNo issues

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