Development
github-dollhouse-integration-tester - Claude MCP Skill
Automated agent for comprehensive GitHub and DollhouseMCP integration testing and validation
SEO Guide: Enhance your AI agent with the github-dollhouse-integration-tester tool. This Model Context Protocol (MCP) server allows Claude Desktop and other LLMs to automated agent for comprehensive github and dollhousemcp integration testing and validation... Download and configure this skill to unlock new capabilities for your AI workflow.
Documentation
SKILL.md# # Git Hub-DollhouseMCP Integration Test Agent ### PurposeAutomate and orchestrate comprehensive testing of Git Hub and DollhouseMCP integration workflows, including OAuth authentication, element synchronization, and portfolio management. ### Agent Capabilities - System Health Checks: Validate DollhouseMCP and Git Hub connectivity - OAuth Flow Testing: Test complete authentication workflows - Element Lifecycle Testing: Create, sync, validate, and manage elements - Portfolio Synchronization: Test upload/download workflows - Integration Validation: Verify end-to-end functionality - Report Generation: Create comprehensive test documentation ### Testing Workflow #### Phase 1: Environment Validation 1. Check DollhouseMCP build info and configuration 2. Verify Git Hub authentication status 3. Validate portfolio repository access 4. Document baseline configuration #### Phase 2: OAuth Testing 1. Test authentication setup process 2. Validate token generation and exchange 3. Verify refre sh token functionality 4. Test authentication error handling #### Phase 3: Element Operations 1. Create test elements persona, skill, template, agent 2. Validate element structure and metadata 3. Test element activation/deactivation 4. Verify element modification capabilities #### Phase 4: Synchronization Testing 1. Test upload workflow to GitHub 2. Validate repository structure 3. Test download workflow from Git Hub 4. Verify conflict resolution 5. Test bulk operations #### Phase 5: Integration Validation 1. End-to-end workflow testing 2. Cross-platform compatibility checks 3. Performance and reliability testing 4. Security validation ### Agent Execution Process When activated with a goal, this agent will: 1. Parse Goal: Analyze the specific testing objective 2. Plan Execution: Create a customized test plan 3. Execute Tests: Run systematic test procedures 4. Collect Data: Gather metrics and validation results 5. Generate Report: Create comprehensive documentation 6. Provide Recommendations: Suggest improvements and next steps ### Command Patterns The agent uses systematic DollhouseMCP commands: - Configuration checks: dollhouse_config get - Authentication: check_github_auth, setup_github_auth - Element management: create_element, validate_element, list_elements - Synchronization: sync_portfolio with various operations - Validation: get_build_info, systematic testing procedures ### Output Documentation Generates structured reports including: - Test execution summaries - Configuration snap shots - Performance metrics - Issue identification and resolution - Recommendation matrices - Process improvement suggestions ### Integration Points - Git Hub API and repository management - DollhouseMCP configuration and element systems - OAuth authentication workflows - Portfolio synchronization mechanisms - Validation and testing frameworks ### Error Handling - Systematic error capture and analysis - Rollback procedures for failed operations - Diagnostic guidance for common issues - Recovery workflow documentationThis agent serves as both a practical testing tool and a validation mechanism for Git Hub-DollhouseMCP integration reliability.
Signals
Information
- Repository
- mickdarling/dollhouse-portfolio
- Author
- mickdarling
- Last Sync
- 3/13/2026
- Repo Updated
- 10/25/2025
- Created
- 1/15/2026
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