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"article": "\n# tmuskal/arc-agi-benchmarker\n\n- **Archetype**: claude-plugin-benchmark\n- **Stars**: 0\n- **Last pushed**: 2026-04-11 (recent)\n- **License**: MIT\n- **Discovered**: 2026-04-13\n- **Skills found**: Multiple (ARC-AGI benchmarking skills)\n\n## Summary\nClaude Code plugin marketplace for proving AGI capabilities by testing claude-code setups against ARC-AGI-3 benchmarks. Features interactive grid-world pattern recognition puzzles, LongMemEval benchmarking for multi-session QA testing, and cross-harness comparison with competing AI tools (Codex, Gemini, OpenCode). Includes setup/validation, benchmark execution, test browsing, report generation, run comparison, and cross-harness workflow skills. Results stored locally in `.arc-agi-benchmarks/` with JSON-based scoring and replay logs.\n\n## Assessment\nHIGH VALUE for babysitter capability assessment. The ARC-AGI-3 benchmarking provides standardized AGI evaluation that could validate babysitter's problem-solving capabilities. The LongMemEval multi-session testing and cross-harness comparison functionality offer sophisticated benchmarking methodologies. The plugin-based extensibility with skill-driven UX and local result storage align well with babysitter's architecture. Self-benchmarking capabilities enable quantified performance assessment.\n\n## Extraction Priority\n- High\n- Rationale: The AGI benchmarking methodology, multi-session evaluation patterns, and cross-harness comparison capabilities provide valuable frameworks for assessing babysitter's problem-solving and orchestration capabilities. The standardized evaluation approach could be essential for babysitter validation and improvement.\n\n## Processes\n- **ARC-AGI Pattern Recognition Benchmarking**: Interactive grid-world task evaluation for AI capability assessment\n- **Multi-Session QA Evaluation**: Extended chat history testing with AI judge evaluation\n- **Cross-Harness Capability Comparison**: Generate and compare results across competing AI tools\n- **AGI Capability Self-Assessment**: Quantify local setup performance against published AGI benchmarks\n- **Benchmark Result Management**: Store, analyze, and replay evaluation results with JSON-based scoring\n\n## Plugin Ideas\n- **ARC-AGI Integration**: Integration with ARC-AGI benchmark suite for standardized capability assessment\n\n## Patterns\n- Self-benchmarking marketplace framework\n- Interactive grid-world pattern recognition\n- Multi-session evaluation with extended context\n- Cross-harness result generation and comparison\n- Plugin-based extensibility with skill-driven UX\n- Local result storage with JSON scoring\n- Replay log capability for analysis\n- Claude or GPT-4o judge evaluation\n\n## Library Mapping\n\n| Extractable Process | Library Status | Action | Existing Path | Target Placement |\n|-------------------|----------------|--------|---------------|------------------|\n| ARC-AGI Pattern Recognition Benchmarking | NEW | Interactive grid-world task evaluation for AI capability assessment | - | specializations/shared/arc-agi-pattern-recognition-benchmarking.js |\n| Multi-Session QA Evaluation | NEW | Extended chat history testing with AI judge evaluation | - | specializations/shared/multi-session-qa-evaluation.js |\n| Cross-Harness Capability Comparison | NEW | Generate and compare results across competing AI tools | - | specializations/shared/cross-harness-capability-comparison.js |\n| AGI Capability Self-Assessment | NEW | Quantify local setup performance against published AGI benchmarks | - | methodologies/agi-capability-self-assessment/ |\n| Benchmark Result Management | NEW | Store, analyze, and replay evaluation results with structured scoring | - | specializations/shared/benchmark-result-management.js |\n| Interactive Puzzle Solving | NEW | Grid-world pattern recognition and problem-solving methodology | - | specializations/shared/interactive-puzzle-solving.js |\n| AI Judge Evaluation | NEW | Automated evaluation using Claude or GPT-4o as scoring judge | - | specializations/shared/ai-judge-evaluation.js |\n\n## Plugin Marketplace Mapping\n\n| Plugin Idea | Marketplace Status | Action | Existing Plugin | Target Placement |\n|-------------|-------------------|--------|-----------------|------------------|\n| ARC-AGI Integration | NEW | Integration with ARC-AGI benchmark suite for standardized capability assessment | arc-agi-benchmarker | plugins/a5c/marketplace/blueprints/arc-agi-integration/ |\n",
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