How to Connect GitHub to Skopx: Complete Integration Guide
Connecting GitHub to Skopx gives your engineering team AI-powered repository analytics, pull request tracking, and code activity insights. Ask questions about your codebase, commits, and development workflow in natural language and get instant answers.
Prerequisites
Before connecting GitHub:
- A Skopx account (free tier or above)
- A GitHub account with access to the repositories you want to analyze
- Organization owner or admin permissions (for organization repositories)
- Your AI API key configured in Skopx settings
Step-by-Step Setup
Step 1: Navigate to Integrations
Log in to Skopx and click Integrations in the left sidebar.
Step 2: Find GitHub
Search for "GitHub" in the integrations catalog or browse the Developer Tools category. Click the GitHub card.
Step 3: Authorize via GitHub OAuth
Click "Connect GitHub." You will be redirected to GitHub's OAuth authorization page. If you belong to multiple organizations, you may need to grant access to specific organizations.
Permissions requested:
- Repository access. Read access to code, commits, issues, pull requests, and metadata for selected repositories.
- Organization access. Read access to organization membership and team information (for org repositories).
- User information. Read access to your GitHub profile for identity resolution.
Click "Authorize" to complete the connection. If connecting organization repositories, you may see an additional prompt to grant organization access.
Step 4: Select Repositories
After authorization, Skopx displays your available repositories. Choose between:
- All repositories: Grants access to every repository you have permissions for
- Selected repositories: Pick specific repos to include in analytics
For large organizations, selecting specific repositories keeps queries focused and improves response times.
Step 5: Verify
Test with a simple query: "How many pull requests were merged this week?" A valid response confirms the connection is active.
Available Data
| Data Type | Fields | Analytics Applications |
|---|---|---|
| Commits | Author, message, timestamp, files changed, insertions, deletions | Development velocity, contributor activity |
| Pull requests | Title, author, reviewers, status, comments, review timeline | Review throughput, merge time, bottlenecks |
| Issues | Title, labels, assignees, status, comments | Bug tracking, feature request management |
| Branches | Name, protection rules, ahead/behind counts | Branch hygiene, release tracking |
| Releases | Tag, release notes, assets, timestamps | Release cadence, deployment tracking |
| Actions/Workflows | Run status, duration, failure rate | CI/CD performance, build health |
| Contributors | Commit counts, PR activity, review activity | Team contribution patterns |
Practical Use Cases
Development Velocity
Track how fast your team is shipping code and identify trends.
Example queries:
- "How many commits did the team make this week compared to last week?"
- "Show me the number of merged pull requests per week for the last quarter"
- "What is the average time from PR open to merge?"
- "Which repositories had the most activity this month?"
Pull Request Analytics
Understand your code review process and find bottlenecks.
Example queries:
- "Show me open pull requests that have been waiting for review for more than 2 days"
- "What is the average number of review comments per PR?"
- "Who reviews the most pull requests on the team?"
- "List PRs that were merged without any reviews"
- "What is our PR approval-to-merge time?"
Issue and Bug Tracking
Monitor issue trends and resolution rates.
Example queries:
- "How many bugs were opened versus closed this month?"
- "Show me issues labeled 'critical' that are still open"
- "What is the average time to close a bug?"
- "Which labels have the most open issues?"
CI/CD and Build Health
Monitor your continuous integration pipeline performance.
Example queries:
- "What is the failure rate for our main branch CI workflow?"
- "Show me the average build time trend over the last month"
- "Which workflow runs failed today?"
- "How often do we deploy to production per week?"
Contributor Analytics
Understand contribution patterns across your team.
Example queries:
- "Show me commit activity by team member for this sprint"
- "Who are the top contributors to the frontend repository this quarter?"
- "Compare code review activity across the team"
- "What is the distribution of commits by day of week?"
Security and Privacy
Repository-Level Access Control
Skopx only accesses repositories you explicitly authorize. Private repositories remain invisible unless granted access during the OAuth flow.
Read-Only Access
The integration uses read-only permissions. Skopx cannot modify code, merge pull requests, close issues, or make any changes to your repositories.
No Code Storage
Skopx does not clone repositories or store source code. It queries GitHub's API for metadata (commit messages, PR titles, issue descriptions, statistics) rather than raw code content.
BYOK Data Flow
All AI processing uses your own API key. GitHub data is fetched on demand and processed without retention by Skopx.
Revoking Access
Disconnect from the Skopx integrations page, and also revoke the OAuth application in GitHub under Settings, then Applications, then Authorized OAuth Apps.
Troubleshooting
Organization repositories not appearing
GitHub requires explicit organization approval for OAuth apps. An organization owner needs to grant access. Go to your GitHub organization's Settings, then Third-party access, and approve the Skopx application.
Rate limit errors
GitHub's API has rate limits (5,000 requests per hour for authenticated users). If you are querying many repositories with large histories, you may hit limits. Narrow your queries with date ranges and specific repositories.
Missing CI/CD data
GitHub Actions data requires the "actions" permission scope. If workflow data is not appearing, disconnect and reconnect the integration to ensure this scope is included.
Commit counts seem incorrect
GitHub's API counts merge commits differently than the web interface in some cases. If numbers do not match exactly, the difference is usually due to merge commit counting methodology rather than missing data.
Advanced Configuration
Cross-Platform Engineering Analytics
GitHub delivers the most value when combined with your other engineering tools in Skopx:
- GitHub plus Jira: "Show me PRs linked to tickets in the current sprint"
- GitHub plus Slack: "Find Slack discussions about the failing CI build"
- GitHub plus Google Calendar: "How many hours of meetings does the team have versus hours of coding?"
These cross-platform queries give engineering leaders visibility into the full picture of their team's work, from planning through implementation and communication.
Next Steps
With GitHub connected, your engineering team has conversational access to all development metrics. Pair it with Jira for complete engineering analytics, or add Slack to understand how communication patterns correlate with delivery velocity.
Alexis Kelly
The Skopx engineering and product team