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tgmerritt

Wahoo Skill

by Tyler · GitHub ↗ · v0.1.4 · MIT-0
cross-platform ✓ Security Clean
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Install in OpenClaw
/install wahoo-skill
Description
Wahoo Fitness Cloud API — fetch workouts, download FIT files, parse power/HR/cadence/GPS into local SQLite for analysis
README (SKILL.md)

Wahoo Cloud API Skill

Programmatic access to the Wahoo Fitness Cloud API for ELEMNT BOLT/ROAM/ACE head units. Fetches workout metadata, downloads FIT files from Wahoo's CDN, and parses ride data (power, cadence, HR, GPS, elevation) into a local SQLite database.

API base: https://api.wahooligan.com. Workout endpoints live under /v1/workouts. OAuth2 with the offline_data scope yields a long-lived refresh token; access tokens expire after ~2 hours and the skill auto-refreshes on 401.

Agent quickstart (read this first)

If you're an agent invoking this skill on behalf of a user:

User asks Run this
"Sync my Wahoo workouts" / "Pull new rides" python3 {baseDir}/scripts/fetch_workouts.py
"Show recent rides" / "Last week's training" Query ~/.openclaw/workspace/training/wahoo.db (or $WAHOO_TRAINING_DIR/wahoo.db) — schema below
"Parse this FIT file" python3 {baseDir}/scripts/parse_fit.py PATH.fit [--summary-only]
"Set up Wahoo" / "Connect my Wahoo" Walk the user through Setup §1–3 below; then run python3 {baseDir}/scripts/oauth_setup.py
"Refresh my Wahoo token" bash {baseDir}/scripts/refresh_token.sh (only needed if auto-refresh fails)

The fetch script is idempotent — safe to run on a heartbeat. It skips workouts already fully synced (fit_parsed_at IS NOT NULL). Sandbox rate limits (25 req / 5 min) trigger automatic backoff, so a first sync of a long history may take many minutes.

The skill cannot ship credentials. Each user needs their own Wahoo developer app — no shortcut. Setup is a one-time browser handshake.

Credential auto-loading: if WAHOO_CLIENT_ID / WAHOO_CLIENT_SECRET aren't in the calling shell, wahoo_auth.py automatically reads them from ~/.openclaw/secrets/wahoo.env (override path with $WAHOO_ENV_FILE). This means an OpenClaw agent can invoke fetch_workouts.py without sourcing anything — token refresh just works.

Setup

1. Register a Wahoo Developer App

  1. Go to https://developers.wahooligan.com
  2. Create an application (Sandbox is automatic — no review)
  3. Set callback URL (e.g. https://localhost:8080/ — the manual-paste OAuth helper works with any registered callback)
  4. Request scopes: workouts_read offline_data user_read (add power_zones_read plans_read routes_read if you want zones/plans/routes)
  5. Note your Client ID and Client Secret

2. Configure Credentials

Add to ~/.clawdbot/clawdbot.json:

{
  "skills": {
    "entries": {
      "wahoo": {
        "enabled": true,
        "env": {
          "WAHOO_CLIENT_ID": "your-client-id",
          "WAHOO_CLIENT_SECRET": "your-client-secret",
          "WAHOO_REDIRECT_URI": "https://localhost:8080/"
        }
      }
    }
  }
}

Or as environment variables:

export WAHOO_CLIENT_ID="..."
export WAHOO_CLIENT_SECRET="..."
export WAHOO_REDIRECT_URI="https://localhost:8080/"

3. Run OAuth2 Flow

python3 {baseDir}/scripts/oauth_setup.py

The script prints an authorization URL. Open it in a browser, log in with your Wahoo account, approve. You'll be redirected to your callback URL with ?code=... in the query string (the page itself will fail to load — that's expected; just copy the URL or the code value). Paste it back into the script. It exchanges the code for tokens and writes them to ~/.openclaw/secrets/wahoo_tokens.json.

4. Fetch Workouts

python3 ~/.openclaw/workspace/training/fetch_wahoo.py

This pulls the workout list, fetches detail (and FIT URL) for each new workout, downloads FIT files into ~/.openclaw/workspace/training/wahoo_fit/, parses them, and upserts records into ~/.openclaw/workspace/training/wahoo.db.

Usage

List Workouts (paginated)

curl -s -H "Authorization: Bearer ${WAHOO_ACCESS_TOKEN}" \
  "https://api.wahooligan.com/v1/workouts?page=1&per_page=30"

Response shape: { workouts: [...], total, page, per_page, order, sort }. Note that workout_summary is null in the list response — fetch detail per workout to get summary + FIT URL.

Get Workout Detail (with FIT URL)

curl -s -H "Authorization: Bearer ${WAHOO_ACCESS_TOKEN}" \
  "https://api.wahooligan.com/v1/workouts/WORKOUT_ID"

The FIT file URL lives at workout_summary.file.url.

Download a FIT File

curl -L -o ride.fit "$FIT_URL"

The CDN doesn't require auth and doesn't count against your API rate limit.

Get User Profile

curl -s -H "Authorization: Bearer ${WAHOO_ACCESS_TOKEN}" \
  "https://api.wahooligan.com/v1/user"

Returns { id, height, weight, first, last, email, birth, gender, created_at, updated_at }. Height and weight are returned as decimal strings.

Refresh Access Token

bash {baseDir}/scripts/refresh_token.sh

The Python OAuth helper auto-refreshes on 401 if a refresh_token is on file. The shell helper is for manual/cron use.

curl -s -X POST https://api.wahooligan.com/oauth/token \
  -d client_id="${WAHOO_CLIENT_ID}" \
  -d client_secret="${WAHOO_CLIENT_SECRET}" \
  -d grant_type=refresh_token \
  -d refresh_token="${WAHOO_REFRESH_TOKEN}"

The new access token does not invalidate the old one until you successfully use it (Wahoo allows up to 10 unrevoked access tokens per user as of Jan 2026).

Common Data Fields

workout_summary includes:

  • ascent_accum — total elevation gain (m)
  • cadence_avg — average cadence (rpm)
  • calories_accum — kcal
  • distance_accum — distance (m)
  • duration_active_accum / duration_paused_accum / duration_total_accum — seconds
  • heart_rate_avg — bpm
  • power_avg — average power (W)
  • power_bike_np_last — normalized power
  • power_bike_tss_last — Training Stress Score
  • speed_avg — m/s
  • work_accum — total work (J)
  • time_zone — IANA tz
  • file.url — FIT file URL (CDN)

All decimal values are returned as strings — cast before math.

workout_type_id is an integer enum whose mapping isn't published. Empirically observed: cycling rides come back as 0. Treat as opaque and key off the FIT sport/sub_sport fields (parsed into workouts.fit_* columns) when you need to filter by activity type.

Rate Limits

Tier per 5 min per hour per day
Sandbox 25 100 250
Production 200 1,000 5,000

Headers: X-RateLimit-Limit, X-RateLimit-Remaining, X-RateLimit-Reset. The sync pipeline backs off automatically on 429.

Tips

  • Convert m → mi: divide by 1609.34
  • Convert m/s → mph: multiply by 2.237
  • Decimal strings: float(workout_summary["power_avg"]) before any math
  • The list endpoint omits workout_summary — always hit detail (/v1/workouts/:id) to get FIT URL

Error Handling

Status Meaning Action
401 Access token expired/invalid Run refresh_token.sh or let wahoo_auth.py auto-refresh
403 Scope insufficient Re-authorize with the missing scope
429 Rate limit hit Wait until X-RateLimit-Reset
404 Workout not found / not yours Confirm ID + ownership
Usage Guidance
Install this only if you are comfortable granting Wahoo workout/profile read access and keeping a local copy of your training history. Protect `~/.openclaw/secrets` and the training directory, use the minimum Wahoo scopes you need, and revoke the token if you no longer use the skill.
Capability Analysis
Type: OpenClaw Skill Name: wahoo-skill Version: 0.1.4 The Wahoo Cloud API skill is a well-structured integration for fetching and parsing fitness data. It implements a standard OAuth2 flow, stores sensitive tokens locally with restricted file permissions (0600) in `wahoo_auth.py`, and interacts exclusively with official Wahoo endpoints (api.wahooligan.com). The code uses standard Python libraries and the legitimate `fitparse` dependency to process workout files into a local SQLite database, with no evidence of data exfiltration, unauthorized execution, or malicious instructions.
Capability Tags
cryptocan-make-purchasesrequires-oauth-tokenrequires-sensitive-credentials
Capability Assessment
Purpose & Capability
The stated purpose and visible implementation align: Wahoo OAuth, workout listing/detail, FIT download, parsing, and local SQLite storage. The data involved is sensitive fitness, profile, and location data.
Instruction Scope
The agent quickstart maps specific user requests to explicit scripts and database queries; there is no evidence of hidden goal changes or instructions to bypass user intent.
Install Mechanism
There is no automatic install spec, but the README asks users to install the external fitparse Python package from PyPI using a version range.
Credentials
Wahoo client credentials and OAuth tokens are expected for this API integration, and the visible code uses Wahoo OAuth/API/CDN endpoints for the stated purpose.
Persistence & Privilege
The skill persists OAuth tokens and local workout artifacts by design; token storage is chmod 0600, while the workout database/FIT directory inherit the training directory permissions.
How to Use
  1. Make sure OpenClaw is installed (local or Docker)
  2. Run the install command in chat: /install wahoo-skill
  3. After installation, invoke the skill by name or use /wahoo-skill
  4. Provide required inputs per the skill's parameter spec and get structured output
Version History
v0.1.4
Handle Ctrl+C gracefully: fetch_workouts.py now exits cleanly on keyboard interrupt instead of showing a traceback. Rate-limit sleep message now shows (Ctrl+C to abort).
Metadata
Slug wahoo-skill
Version 0.1.4
License MIT-0
All-time Installs 0
Active Installs 0
Total Versions 1
Frequently Asked Questions

What is Wahoo Skill?

Wahoo Fitness Cloud API — fetch workouts, download FIT files, parse power/HR/cadence/GPS into local SQLite for analysis. It is an AI Agent Skill for Claude Code / OpenClaw, with 49 downloads so far.

How do I install Wahoo Skill?

Run "/install wahoo-skill" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.

Is Wahoo Skill free?

Yes, Wahoo Skill is completely free, licensed under MIT-0. You can download, install and use it at no cost.

Which platforms does Wahoo Skill support?

Wahoo Skill is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).

Who created Wahoo Skill?

It is built and maintained by Tyler (@tgmerritt); the current version is v0.1.4.

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