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trail-factors

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    • F
      license
      Not graded
      quality
      B
      maintenance
      Connects Claude Desktop to your Garmin Connect running data stored locally in SQLite, enabling querying, syncing, and AI analysis of fitness activities.
      1
      -
    • A
      license
      A
      quality
      A
      maintenance
      Provides Claude Code and Claude Desktop with safe, read-only access to your local Garmin training data, readiness decisions, run details, and trends so you can get coaching advice in natural language.
      15
      9
      MIT
    • A
      license
      Not graded
      quality
      C
      maintenance
      Connects Garmin training data to Claude so it can read recent activities, wellness and recovery signals, and upcoming calendar events. It also lets Claude create, update, and delete structured workouts that sync through intervals.icu to Garmin Connect and onto the user's watch.
      MIT
    • A
      license
      Not graded
      quality
      C
      maintenance
      Lets Claude read a runner's recent activities and wellness signals — sleep, HRV, resting heart rate — and then design, schedule, edit, or delete structured workouts. Planned sessions are written to an intervals.icu calendar that syncs through Garmin Connect onto the user's watch, without exposing Garmin credentials.
      MIT
    • A
      license
      Not graded
      quality
      C
      maintenance
      Enables Claude to read recent Garmin training activities and wellness metrics and to create, update, or delete structured planned workouts through intervals.icu, which syncs them to Garmin Connect and the user's watch. It provides tools for reviewing recovery signals, listing upcoming calendar events, and pushing AI-designed sessions to the watch without exposing Garmin credentials.
      MIT
    • A
      license
      Not graded
      quality
      A
      maintenance
      Gives Claude and ChatGPT read-only access to locally stored Garmin running and health data, so users can ask about recovery status, individual runs, best efforts, sleep and long-term trends, pull computed weekly reports, or run read-only SQL for anything else. It also triggers an on-demand sync so the answers reflect the latest data.
      AGPL 3.0

    TDQS

    B3.3/5.0

    Scored across 29 tools

    Disambiguation4/5

    Most tools target distinct analytical questions, and descriptions explicitly contrast near-duplicates such as matched_terrain_drift vs segment_effort_drift and max_hr_over vs hr_above. However, the density of HR, pace, and drift metrics means an agent must read carefully; a few pairs could be confused without the explicit warnings.

    Naming Consistency4/5

    All names are snake_case and follow a predictable domain vocabulary, with action tools using verbs (list_, save_, sync) and analysis tools using metric nouns. The mix of verb-led and noun-phrase names is readable but not a single verb_noun convention throughout.

    Tool Count3/5

    29 tools is heavy, but the scope spans run analysis, HR metrics, segments, sync, and stationary rides, so many tools represent distinct analyses. It is borderline: each earns its place, yet the surface is large for an agent to navigate.

    Completeness4/5

    The set covers core lifecycle: sync, list, per-run metrics, segment analysis, drift, zones, and ride logging with supersede. Minor gaps exist (e.g., no explicit delete for ride logs, config editing is external), but agents can work around them.

    Maintenance

    ActivityMaintained
    ResponsivenessNo issues