← 返回 Skills 市场
ericrosenberg

Strava Cycling Coach

作者 EricRosenberg · GitHub ↗ · v1.0.0
cross-platform ⚠ suspicious
1801
总下载
0
收藏
0
当前安装
1
版本数
在 OpenClaw 中安装
/install strava-cycling-coach
功能描述
Track and analyze cycling performance from Strava. Use when analyzing ride data, reviewing fitness trends, understanding workout performance, or providing insights on cycling training. Automatically monitors new rides and provides performance analysis.
安全使用建议
This skill appears to do what it claims: it connects to Strava, stores the OAuth client ID/secret and tokens in ~/.config/strava/config.json, caches activities in ~/.cache/strava, and can be scheduled by cron. Before installing or running it: 1) Review the bundled scripts yourself (they are included) and verify network calls are only to Strava (https://www.strava.com). 2) Note the README/SKILL.md refer to a few non-existent filenames (e.g., analyze_ride.py, monitor_rides.sh) — use the actual scripts in the repo (analyze_and_notify.py, monitor_new_rides.py, etc.) or fix the docs. 3) If you expect Telegram notifications, inspect/modify send_telegram_message to use the real Telegram API or your messaging tooling; currently it prints the message and assumes a 'Clawdbot' message tool. 4) Keep your client_secret and saved tokens protected (the setup script sets 0o600 but verify). 5) If you plan to add the cron job, prefer using an absolute path to the script (not relying on $(pwd)) and review the crontab changes before applying. If you want more assurance, run the scripts in an isolated environment (different user account or container) the first time and monitor outbound traffic.
功能分析
Type: OpenClaw Skill Name: strava-cycling-coach Version: 1.0.0 The skill is classified as suspicious due to its use of persistence mechanisms. The `SKILL.md` file explicitly instructs the user to modify `~/.bashrc` to export an environment variable and to set up a cron job using `crontab` for automatic monitoring. While these actions are documented and aligned with the stated purpose of the skill (automatic ride analysis and notifications), modifying user shell profiles and system cron tables constitutes a meaningful high-risk behavior and a form of persistence, which elevates it beyond a benign classification. All network communication is legitimately directed to the Strava API, and there is no evidence of data exfiltration to unauthorized endpoints or malicious prompt injection against the agent.
能力评估
Purpose & Capability
The skill's name/description (Strava ride analysis, monitoring, notifications) matches the code: it uses the Strava OAuth endpoints, activity and streams APIs, caches activities, analyzes power/HR metrics, and can be run on a schedule. The required secrets (client_id/client_secret) are requested via the setup flow and stored in ~/.config/strava/config.json, which is appropriate for a Strava integration.
Instruction Scope
Runtime instructions and scripts only access the user's Strava config (~/.config/strava), a local cache (~/.cache/strava), and the Strava API. They do not attempt to read unrelated system files or unknown remote endpoints. However, SKILL.md/README contain several inconsistent script names (e.g., references to analyze_ride.py and monitor_rides.sh that don't exist), and some examples assume a 'Clawdbot message tool' via subprocess but the provided send function currently prints the message (no Telegram API call). Those mismatches can confuse users and should be corrected.
Install Mechanism
There is no automatic install step or remote code download; all code is bundled with the skill and there is no install spec. That reduces supply-chain risk. The setup.sh script is local and only writes config files under the user's home directory.
Credentials
The skill does not declare required environment variables in registry metadata, but it does optionally read STRAVA_TELEGRAM_CHAT_ID for notifications and asks the user for client_id/client_secret during setup to store in config.json. Requesting Strava credentials is proportional and expected. Be aware the token/credentials are stored on disk (complete_auth.py sets file mode to 0o600).
Persistence & Privilege
The skill does persist user data (config and cache) under ~/.config/strava and ~/.cache/strava and suggests optionally adding a cron job for periodic runs, but it does not request elevated privileges or force installation (always:false). No modifications to other skills or system-wide agent settings are present.
如何使用
  1. 确保已安装 OpenClaw(本地或 Docker 部署)
  2. 在对话框中输入安装命令:/install strava-cycling-coach
  3. 安装完成后,直接呼叫该 Skill 的名称或使用 /strava-cycling-coach 触发
  4. 根据 Skill 的参数说明提供必要输入,即可获得结构化输出
版本历史
v1.0.0
Initial release: automatic ride analysis with power metrics, HR zones, and PR tracking. Monitors for new rides every 30 minutes and sends detailed performance insights.
元数据
Slug strava-cycling-coach
版本 1.0.0
许可证
累计安装 0
当前安装数 0
历史版本数 1
常见问题

Strava Cycling Coach 是什么?

Track and analyze cycling performance from Strava. Use when analyzing ride data, reviewing fitness trends, understanding workout performance, or providing insights on cycling training. Automatically monitors new rides and provides performance analysis. 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件,目前累计下载 1801 次。

如何安装 Strava Cycling Coach?

在 OpenClaw 或 Claude Code 对话框中运行命令「/install strava-cycling-coach」即可一键安装,无需额外配置。

Strava Cycling Coach 是免费的吗?

是的,Strava Cycling Coach 完全免费(开源免费),可自由下载、安装和使用。

Strava Cycling Coach 支持哪些平台?

Strava Cycling Coach 跨平台运行,可在任意部署了 OpenClaw / Claude Code 的环境中使用(cross-platform)。

谁开发了 Strava Cycling Coach?

由 EricRosenberg(@ericrosenberg)开发并维护,当前版本 v1.0.0。

💬 留言讨论