oss-eval

Phase 2: Perform detailed analysis of each candidate identified in Phase 1, focusing on core capabilities, architecture, and initial fit assessment.

Phase 7: Conduct deep technical analysis of candidate architectures including code-level examination and scalability characteristics.

Phase 5: Assess the health, sustainability, and responsiveness of each candidate's open source community for long-term viability.

Phase 13: Introduce specific product context and constraints to ground the evaluation in real business needs.

Phase 11: Quantify total cost of ownership (TCO) including infrastructure, licensing, maintenance, and hidden costs.

Phase 1: Conduct comprehensive web search discovery to identify candidate frameworks/libraries in the specified topic space.

Phase 12: Evaluate developer experience (DX) including documentation quality, tooling, debugging, and learning resources.

Phase 9: Develop comprehensive mitigation strategies for identified gaps including effort estimation and implementation planning.

Phase 14: Explore hybrid approaches that combine multiple candidates for different use cases to optimize outcomes.

Phase 4: Conduct thorough analysis of licensing implications including dependencies, commercial use restrictions, and compliance requirements.

Phase 3: Develop a comprehensive, annotated feature comparison matrix with [OSS]/[PAID] differentiation and cross-platform verification.

Generate comprehensive evaluation reports from completed phases. Supports interim and final reports.

Phase 8: Map candidate capabilities against specific product/project requirements to assess fit and identify gaps.

Phase 6: Synthesize findings from Phases 1-5 into a comprehensive risk assessment with quantified basis for decision-making.

Execute a complete 15-phase OSS framework evaluation automatically with a single command. Runs all phases sequentially with progress tracking.

Initialize and orchestrate a comprehensive 15-phase OSS framework evaluation with built-in safeguards against AI analysis pitfalls.

Display current evaluation progress, phase completion status, and next recommended actions.

Phase 10: Assess how each candidate integrates with UI including component libraries, theming, and accessibility.

Phase 15: Conduct final validation through adversarial review ensuring all biases are addressed and recommendation is defensible.

An isolated sub-agent that provides unbiased adversarial review of OSS evaluation recommendations. This agent operates WITHOUT access to the full evaluation context to ensure fresh, unbiased perspective.

A specialized sub-agent focused on web search discovery of OSS candidates. This agent handles the research-intensive Phase 1 discovery process with systematic search patterns and source validation.

Core safeguards against common AI analysis pitfalls during OSS framework evaluation. This skill implements the 12 pitfall prevention rules to ensure objective, accurate, and defensible evaluations.

Systematic cross-platform feature verification to prevent false differentiation and ensure accurate feature matrices. This skill provides protocols for verifying that features claimed as "missing" aren't simply named differently.

Ensure accuracy and recency of information sources during OSS evaluation. This skill provides protocols for verifying source credibility, data freshness, and multi-source validation.