Requirements
- Target platform
- OpenClaw
- Install method
- Manual import
- Extraction
- Extract archive
- Prerequisites
- OpenClaw
- Primary doc
- SKILL.md
Tencent SkillHub ยท Developer Tools
Native Google Analytics
Query Google Analytics 4 (GA4) data directly via the Analytics Data API. Use when you need website analytics like top pages, traffic sources, sessions, users...
skill openclawclawhub Free
Query Google Analytics 4 (GA4) data directly via the Analytics Data API. Use when you need website analytics like top pages, traffic sources, sessions, users...
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0 stars Unverified but indexed
Install for OpenClaw
Quick setup
- Download the package from Yavira.
- Extract the archive and review SKILL.md first.
- Import or place the package into your OpenClaw setup.
Package facts
- Download mode
- Yavira redirect
- Package format
- ZIP package
- Source platform
- Tencent SkillHub
- What's included
- README.md, SKILL.md, scripts/ga4_auth.py, scripts/ga4_query.py
Validation
- Use the Yavira download entry.
- Review SKILL.md after the package is downloaded.
- Confirm the extracted package contains the expected setup assets.
Install with your agent
Agent handoff
Hand the extracted package to your coding agent with a concrete install brief instead of figuring it out manually.
- Download the package from Yavira.
- Extract it into a folder your agent can access.
- Paste one of the prompts below and point your agent at the extracted folder.
New install
I downloaded a skill package from Yavira. Read SKILL.md from the extracted folder and install it by following the included instructions. Then review README.md for any prerequisites, environment setup, or post-install checks. Tell me what you changed and call out any manual steps you could not complete.
Upgrade existing
I downloaded an updated skill package from Yavira. Read SKILL.md from the extracted folder, compare it with my current installation, and upgrade it while preserving any custom configuration unless the package docs explicitly say otherwise. Then review README.md for any prerequisites, environment setup, or post-install checks. Summarize what changed and any follow-up checks I should run.
Trust & source
Release facts
- Source
- Tencent SkillHub
- Verification
- Indexed source record
- Version
- 0.1.1
Provenance
- Publisher
- codeninja23
- Source page
- View original listing
- Canonical URL
- Open canonical page
Documentation
Google Analytics 4
Query GA4 properties directly via the Google Analytics Data API (analyticsdata.googleapis.com).
1. Create a Google Cloud project (or use an existing one)
Go to https://console.cloud.google.com and create or select a project.
2. Set the OAuth consent screen to Internal
Go to APIs & Credentials > OAuth consent screen > Audience and set: User type: Internal This avoids Google's app verification process (which requires a demo video for sensitive scopes like Analytics). Internal is fine for personal/team use. Note: this requires a Google Workspace account (not a personal @gmail.com). If you must use External (e.g. you have a personal Gmail), set publishing status to "In production" and add the analytics.readonly scope under Data Access / Scopes.
3. Add the Analytics scope
Go to OAuth consent screen > Data Access (or Scopes) and add: https://www.googleapis.com/auth/analytics.readonly This is listed as a "sensitive scope" by Google. If your app is Internal, no verification is needed.
4. Enable the Analytics Data API
Go to: https://console.cloud.google.com/apis/library/analyticsdata.googleapis.com Click Enable.
5. Create OAuth 2.0 credentials
Go to APIs & Credentials > Credentials > Create Credentials > OAuth client ID Application type: Desktop app Name: anything you want Save the Client ID and Client Secret.
6. Get your GA4 Property ID
Go to https://analytics.google.com > Admin (gear icon) > Property Settings. The Property ID is the numeric value at the top.
7. Generate a refresh token
Run this on your local machine (needs a browser for the Google login flow): pip install google-auth-oauthlib python3 -c "from google_auth_oauthlib.flow import InstalledAppFlow; flow = InstalledAppFlow.from_client_config({'installed': {'client_id': 'YOUR_CLIENT_ID', 'client_secret': 'YOUR_CLIENT_SECRET', 'auth_uri': 'https://accounts.google.com/o/oauth2/auth', 'token_uri': 'https://oauth2.googleapis.com/token'}}, scopes=['https://www.googleapis.com/auth/analytics.readonly']); creds = flow.run_local_server(port=0); print('REFRESH TOKEN:', creds.refresh_token)" Replace YOUR_CLIENT_ID and YOUR_CLIENT_SECRET with your values. A browser window will open for you to log in with Google. Copy the refresh token from the output.
8. Set environment variables
GA4_PROPERTY_ID=123456789 GOOGLE_CLIENT_ID=your-client-id GOOGLE_CLIENT_SECRET=your-client-secret GOOGLE_REFRESH_TOKEN=your-refresh-token
Troubleshooting
403 HTML error page: The analytics.readonly scope is probably not added to your OAuth consent screen. Go to Data Access/Scopes and add it, then regenerate your refresh token. 403 JSON error "caller does not have permission": Your Google account doesn't have access to the GA4 property. Check Admin > Property Access Management in Google Analytics. Token refresh fails: Your refresh token may be expired. Regenerate it using step 7.
Top pages by pageviews
python3 /mnt/skills/user/google-analytics/scripts/ga4_query.py \ --metrics screenPageViews \ --dimension pagePath \ --limit 20
Top pages with sessions and users
python3 /mnt/skills/user/google-analytics/scripts/ga4_query.py \ --metrics screenPageViews,sessions,totalUsers \ --dimension pagePath \ --limit 20
Traffic sources
python3 /mnt/skills/user/google-analytics/scripts/ga4_query.py \ --metrics sessions \ --dimension sessionSource \ --limit 20
Traffic by source and medium
python3 /mnt/skills/user/google-analytics/scripts/ga4_query.py \ --metrics sessions,totalUsers,conversions \ --dimensions sessionSource,sessionMedium \ --limit 20
Landing pages
python3 /mnt/skills/user/google-analytics/scripts/ga4_query.py \ --metrics sessions,bounceRate \ --dimension landingPage \ --limit 30
Custom date range
python3 /mnt/skills/user/google-analytics/scripts/ga4_query.py \ --metrics screenPageViews,sessions \ --dimension pagePath \ --start 2026-01-01 \ --end 2026-01-31 \ --limit 20
Filter by path prefix
python3 /mnt/skills/user/google-analytics/scripts/ga4_query.py \ --metrics screenPageViews,sessions \ --dimension pagePath \ --filter "pagePath=~/blog/" \ --limit 20
Conversions by campaign
python3 /mnt/skills/user/google-analytics/scripts/ga4_query.py \ --metrics conversions,sessions \ --dimensions sessionCampaignName,sessionSource \ --limit 20
Device breakdown
python3 /mnt/skills/user/google-analytics/scripts/ga4_query.py \ --metrics sessions,totalUsers \ --dimension deviceCategory \ --limit 10
Country breakdown
python3 /mnt/skills/user/google-analytics/scripts/ga4_query.py \ --metrics sessions,totalUsers \ --dimension country \ --limit 20
Common metrics
screenPageViews, sessions, totalUsers, newUsers, activeUsers, bounceRate, averageSessionDuration, conversions, eventCount, engagementRate, userEngagementDuration
Common dimensions
pagePath, pageTitle, landingPage, sessionSource, sessionMedium, sessionCampaignName, country, city, deviceCategory, browser, date, week, month
Output
Results are printed as a formatted table to stdout. Pipe to | python3 -m json.tool if you need raw JSON.
Category context
Code helpers, APIs, CLIs, browser automation, testing, and developer operations.
Source: Tencent SkillHub
Largest current source with strong distribution and engagement signals.
Package contents
Included in package
2 Docs2 Scripts
- SKILL.md
- README.md
- scripts/ga4_auth.py
- scripts/ga4_query.py