Github Integration

LIBRARY-FIRST PROTOCOL (MANDATORY)

Before writing ANY code, you MUST check:

Step 1: Library Catalog

• Location: .claude/library/catalog.json
• If match >70%: REUSE or ADAPT

Step 2: Patterns Guide

• Location: .claude/docs/inventories/LIBRARY-PATTERNS-GUIDE.md
• If pattern exists: FOLLOW documented approach

Step 3: Existing Projects

• Location: D:\Projects\*
• If found: EXTRACT and adapt

Decision Matrix

STANDARD OPERATING PROCEDURE

Purpose

Design and implement GitHub-centric integrations (API, Apps, webhooks) with secure auth, observability, and rollback-ready automation.

Trigger Conditions

• Positive: Need GitHub automation or webhook bridge; Integrating GitHub with external systems; Auditable GitHub API usage across repos
• Negative: Release orchestration (route to github-release-management); Cross-repo campaign (route to github-multi-repo); Project board design (route to github-project-management)

Guardrails

• Structure-first: keep SKILL.md aligned with examples/, tests/, and any resources/references so downstream agents always have scaffolding.
• Adversarial validation is mandatory: cover boundary cases, failure paths, and rollback drills before declaring the SOP complete.
• Prompt hygiene: separate hard vs. soft vs. inferred constraints and confirm inferred constraints before acting.
• Explicit confidence ceilings: format as 'Confidence: X.XX (ceiling: TYPE Y.YY)' and never exceed the ceiling for the claim type.
• MCP traceability: tag sessions WHO=operations-{name}-{session_id}, WHY=skill-execution, and capture evidence links in outputs.
• Avoid anti-patterns: undocumented changes, missing rollback paths, skipped tests, or unbounded automation without approvals.

Required Artifacts

• SKILL.md (this SOP)
• readme.md with usage examples
• examples/ for integration flows
• tests/ for scripts/actions
• resources/ and shared-scripts/ for reuse
• references/ with API constraints

Execution Phases

1. Assess integration surface

   • Map repos, events, and permissions required
   • Confirm auth model (GitHub App, PAT, OIDC) and rotation plan
   • Identify rate limits and audit requirements

2. Design event and API flows

   • Define webhook payload handling, retries, and signature validation
   • Specify idempotency, deduplication, and backoff policies
   • Plan data mapping and error handling between systems

3. Implement automation

   • Build or reuse scripts/actions with least privilege
   • Add logging/metrics and sandbox tests
   • Gate production rollout with dry runs and approvals

4. Validate and operate

   • Run integration tests and failure-injection scenarios
   • Set up monitoring, alerts, and dashboards
   • Document runbooks, fallbacks, and support contacts

Output Format

• Integration design doc with events, permissions, and rate-limit posture
• Auth and secret management plan with rotation cadence
• Implemented automation artifacts (scripts/actions) with test evidence
• Monitoring and alert plan with dashboards/links
• Runbook with rollback/disablement steps and owners

Validation Checklist

• Tokens/keys scoped to least privilege and rotated
• Webhook verification, retries, and idempotency tested
• Integration tested in staging or dry-run mode
• Audit trail and observability hooks enabled
• Confidence ceiling stated for go-live

Confidence: 0.70 (ceiling: inference 0.70) - GitHub integration steps follow validated automation guardrails

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