tmuskal
- 15 skills
- 0 followers
- 8 hours ago last updated
- ▌ Setup 2 · tmuskalSet up the LongMemEval benchmarking environment - guides user through conda env, upstream clone, dataset download, and initializes config
- ▌ Report 2 · tmuskalGenerate a scorecard from a completed LongMemEval run - computes overall accuracy + per-question-type accuracy and writes scorecard.json
- ▌ Browse Tests 2 · tmuskalList and preview LongMemEval items - shows dataset stats, per-question-type counts, and a truncated preview of a specific item by question_id
- ▌ Compare Runs 2 · tmuskalCompare two LongMemEval runs - diff scorecards, harness_config, and per-question-type accuracy
- ▌ Cross Harness 2 · tmuskalCross-harness benchmarking for LongMemEval - emit instruction packs for Codex/Gemini/OpenCode and ingest their results into a comparable scorecard
- ▌ Run Benchmark 2 · tmuskalExecute a LongMemEval benchmark run - drives per-item hypothesis generation and LLM-as-judge scoring with checkpointing, resumable, capped at 500 items by default
- ▌ Benchmark Adder · tmuskalGiven a benchmark repository URL (agentic envs like arc-agi, memory/eval benchmarks like longmemeval, QA/code/tool-use benchmarks, etc.), orchestrate the creation of a full Claude Code plugin that benchmarks the current harness setup against it. Wraps the babysitter:babysit skill with the benchmark-plugin-creator process.
- ▌ Setup · tmuskalSet up the ARC-AGI benchmarking environment - installs dependencies, configures API access, and verifies the setup works
- ▌ Report · tmuskalGenerate and display comprehensive reports from completed ARC-AGI benchmark runs - shows scores, per-game breakdowns, and performance analysis
- ▌ Judge · tmuskalLLM-as-judge shim for LongMemEval - wraps upstream get_anscheck_prompt and calls Anthropic (default) or OpenAI (fallback) with exponential backoff
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- ▌ Browse Tests · tmuskalExplore available ARC-AGI environments - lists games, shows details with ASCII grid visualization, and displays historical scores
- ▌ Compare Runs · tmuskalCompare two or more ARC-AGI benchmark runs - shows score deltas, config changes, and trends to track improvement or regression
- ▌ Cross Harness · tmuskalCross-harness benchmarking - generate instructions for Codex/Gemini/OpenCode, import results, and compare across harnesses
- ▌ Run Benchmark · tmuskal bundleExecute benchmark runs against ARC-AGI games - plays games with Claude Code as the agent and records scores