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garmin-panorama-training-analysis

基于佳明（Garmin Connect）数据的全景训练分析。拉取活动/逐公里明细(lapDTOs)/每日恢复(HRV·RHR·睡眠·Body Battery)/负荷平衡(ACWR·Form·就绪度)，融合 Open-Meteo 天气，输出 Ride Relief 暗黑风格离线 HTML 报告。能力：逐公里技术分解(配速/心率/步频/步幅/垂直振幅/触地时间)、心率5区训练比例、热适应评价(WBGT/露点/湿球/酷热指数)、训练状态与成绩预测(Riegel)、身体成分与能量。触发词：佳明分析、Garmin 训练报告、跑步分析、周报月报、热适应、LSD分析、负荷分析、ACWR、就绪度、训练状态。

Identity and source

Publisher attributionKevinregistry owner unverified by skillvetai
Functional categoryDocuments, PDF & Presentationsautomatically inferred · 54% rule confidence
Package forminstruction with code17 recorded files
Canonical sourceClawHub registryclawhub:runzhenghengbin:garmin-panorama-training-analysis
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Platform declarations

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OpenClawnative officialProvenance: registry distribution

Independent structural checks

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Claude Codepasses structure
Checker 0.1.0 · agent-skills-2026-08-13+claude-code-docs-2026-08-13 · 9/15/2026.claude/skills/garmin-panorama-training-analysis

Runtime, accounts, dependencies, permissions, network behavior and task quality remain untested.

OpenAI Codexpasses structure
Checker 0.1.0 · agent-skills-2026-08-13+codex-docs-2026-08-13 · 9/15/2026.agents/skills/garmin-panorama-training-analysis

Runtime, accounts, dependencies, permissions, network behavior and task quality remain untested.

OpenClawpasses structure
Checker 0.1.0 · agent-skills-2026-08-13+openclaw-docs-2026-08-13 · 9/15/2026skills/garmin-panorama-training-analysis

Runtime, accounts, dependencies, permissions, network behavior and task quality remain untested.

Installation and inspection

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clawhub install @runzhenghengbin/garmin-panorama-training-analysis
clawhub inspect @runzhenghengbin/garmin-panorama-training-analysis --version 0.1.0

Security evidence

SkillVetAI static result: no findings detected

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Status
completed
Coverage
partial text content
Files
13 / 17 inspected as text
Checked
9/15/2026, 5:09:15 PM
Scanner
0.1.3
Policy
1.0.3
5 inferred permission indicators
  • shell execution — automatically inferred
  • network access — automatically inferred
  • filesystem read — automatically inferred
  • filesystem write — automatically inferred
  • credential access — automatically inferred
4 dependency and API indicators
  • api: archive-api.open-meteo.com
  • api: cdn.jsdelivr.net
  • api: clawhub.ai
  • api: github.com
External clawhub result: suspicious

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Evidence checked
9/15/2026, 6:43:49 AM
Release binding
Matches this record
  • skillspector: suspicious
  • llm: suspicious

Recorded files

The catalog stores hashes and an inventory summary for change detection. It does not republish the package contents.

Package content hashsha256:122906e4caa68c6c92825df55b687dc41dcbe6ceaecc62a8f50adfd87b43a11e
Show up to 17 recorded paths
  • .gitignore
  • assets
  • assets/chart.umd.min.js
  • config.example.json
  • LICENSE
  • README.md
  • references
  • references/body_composition.py
  • references/heat_metrics.py
  • references/load_balance.py
  • references/ride_relief_style.css
  • scripts
  • scripts/fetch_data.py
  • scripts/garmin_client.py
  • scripts/generate_report.py
  • skill-card.md
  • SKILL.md

Source changelog

Initial release – panoramic analysis of Garmin Connect training data with dark-themed HTML reports. - Pulls activities, per-kilometer splits, daily recovery (HRV, resting HR, sleep, Body Battery), and load balance (ACWR, Form, readiness). - Integrates Open-Meteo historical weather and device-measured conditions. - Five analysis engines: technique breakdown, heart rate zone distribution, heat acclimatization, training status & race prediction, body composition & energy. - Provides concise command-line scripts and .env-based credentials for easy setup. - Strict data handling and field validation for accuracy (including units, split sources, and field names). - Outputs reports for period-based (weekly, monthly) or focused activity review.