[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"skill:01M6EX0FQ0XQ2A84PSMP641RGZ":3,"skill-same:01M6EX0FQ0XQ2A84PSMP641RGZ":255},{"skillNo":4,"name":5,"nameZh":6,"description":7,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":16,"categories":17,"keywords":26,"publishedAt":46,"linkOnly":47,"markdownContent":48,"markdownBody":49,"frontMatter":50,"refName":55,"commitSha":56,"skillDirectory":57,"forksCount":58,"repositoryHtmlUrl":59,"repositoryHomepageUrl":60,"ownerHtmlUrl":61,"ownerBlogUrl":6,"ownerDescription":62,"updatedAt":63,"install":64,"resources":77},"01M6EX0FQ0XQ2A84PSMP641RGZ","pinchbench",null,"Run PinchBench benchmarks to evaluate OpenClaw agent performance across real-world tasks. Use when testing model capabilities, comparing models, submitting benchmark results to the leaderboard, or checking how well your OpenClaw setup handles calendar, email, research, coding, and multi-step workflows.","ComeOnOliver\u002Fskillshub","ComeOnOliver","https:\u002F\u002Favatars.githubusercontent.com\u002Fu\u002F43215937?v=4","01M6E5JNFECJAAVFE0W7SMWWD2","Haoran Shu","01M6E5JNNDQS7AJZDYFQ8TPZCK",66,"MIT","https:\u002F\u002Fgithub.com\u002FComeOnOliver\u002Fskillshub\u002Fblob\u002Fmain\u002Fskills\u002Faiskillstore\u002Fmarketplace\u002Fpinchbench\u002Fpinchbench\u002FSKILL.md",[18,23],{"categoryNo":19,"categoryName":20,"taxonomyType":21,"taxonomyTypeDesc":22},"01JBSEEDCAT000000000000021","资料检索与研究","SCENARIO","使用场景",{"categoryNo":24,"categoryName":25,"taxonomyType":21,"taxonomyTypeDesc":22},"01JBSEEDCAT000000000000023","Skill与智能体开发",[5,27,28,29,30,31,32,33,34,35,36,37,38,39,40,41,42,43,44,45],"model","Multi-Step Workflows","multi","across","world","benchmarks","models","use","results","testing","how","email","capabilities","run","tasks","workflows","research","performance","github","2026-11-10 10:12:30",false,"---\nname: pinchbench\ndescription: Run PinchBench benchmarks to evaluate OpenClaw agent performance across real-world tasks. Use when testing model capabilities, comparing models, submitting benchmark results to the leaderboard, or checking how well your OpenClaw setup handles calendar, email, research, coding, and multi-step workflows.\nmetadata:\n  author: pinchbench\n  version: \"1.0.0\"\n  homepage: https:\u002F\u002Fpinchbench.com\n  repository: https:\u002F\u002Fgithub.com\u002Fpinchbench\u002Fskill\n---\n\n# PinchBench Benchmark Skill\n\nPinchBench measures how well LLM models perform as the brain of an OpenClaw agent. Results are collected on a public leaderboard at [pinchbench.com](https:\u002F\u002Fpinchbench.com).\n\n## Prerequisites\n\n- Python 3.10+\n- [uv](https:\u002F\u002Fdocs.astral.sh\u002Fuv\u002F) package manager\n- OpenClaw instance (this agent)\n\n## Quick Start\n\n```bash\ncd \u003Cskill_directory>\n\n# Run benchmark with a specific model\nuv run benchmark.py --model anthropic\u002Fclaude-sonnet-4\n\n# Run only automated tasks (faster)\nuv run benchmark.py --model anthropic\u002Fclaude-sonnet-4 --suite automated-only\n\n# Run specific tasks\nuv run benchmark.py --model anthropic\u002Fclaude-sonnet-4 --suite task_01_calendar,task_02_stock\n\n# Skip uploading results\nuv run benchmark.py --model anthropic\u002Fclaude-sonnet-4 --no-upload\n```\n\n## Available Tasks (23)\n\n| Task | Category | Description |\n|------|----------|-------------|\n| `task_00_sanity` | Basic | Verify agent works |\n| `task_01_calendar` | Productivity | Calendar event creation |\n| `task_02_stock` | Research | Stock price lookup |\n| `task_03_blog` | Writing | Blog post creation |\n| `task_04_weather` | Coding | Weather script |\n| `task_05_summary` | Analysis | Document summarization |\n| `task_06_events` | Research | Conference research |\n| `task_07_email` | Writing | Email drafting |\n| `task_08_memory` | Memory | Context retrieval |\n| `task_09_files` | Files | File structure creation |\n| `task_10_workflow` | Integration | Multi-step API workflow |\n| `task_11_clawdhub` | Skills | ClawHub interaction |\n| `task_12_skill_search` | Skills | Skill discovery |\n| `task_13_image_gen` | Creative | Image generation |\n| `task_14_humanizer` | Writing | Text humanization |\n| `task_15_daily_summary` | Productivity | Daily digest |\n| `task_16_email_triage` | Email | Inbox triage |\n| `task_17_email_search` | Email | Email search |\n| `task_18_market_research` | Research | Market analysis |\n| `task_19_spreadsheet_summary` | Analysis | Spreadsheet analysis |\n| `task_20_eli5_pdf_summary` | Analysis | PDF simplification |\n| `task_21_openclaw_comprehension` | Knowledge | OpenClaw docs comprehension |\n| `task_22_second_brain` | Memory | Knowledge management |\n\n## Command Line Options\n\n| Option | Description |\n|--------|-------------|\n| `--model` | Model identifier (e.g., `anthropic\u002Fclaude-sonnet-4`) |\n| `--suite` | `all`, `automated-only`, or comma-separated task IDs |\n| `--output-dir` | Results directory (default: `results\u002F`) |\n| `--timeout-multiplier` | Scale task timeouts for slower models |\n| `--runs` | Number of runs per task for averaging |\n| `--no-upload` | Skip uploading to leaderboard |\n| `--register` | Request new API token for submissions |\n| `--upload FILE` | Upload previous results JSON |\n\n## Token Registration\n\nTo submit results to the leaderboard:\n\n```bash\n# Register for an API token (one-time)\nuv run benchmark.py --register\n\n# Run benchmark (auto-uploads with token)\nuv run benchmark.py --model anthropic\u002Fclaude-sonnet-4\n```\n\n## Results\n\nResults are saved as JSON in the output directory:\n\n```bash\n# View task scores\njq '.tasks[] | {task_id, score: .grading.mean}' results\u002F0001_anthropic-claude-sonnet-4.json\n\n# Show failed tasks\njq '.tasks[] | select(.grading.mean \u003C 0.5)' results\u002F*.json\n\n# Calculate overall score\njq '{average: ([.tasks[].grading.mean] | add \u002F length)}' results\u002F*.json\n```\n\n## Adding Custom Tasks\n\nCreate a markdown file in `tasks\u002F` following `TASK_TEMPLATE.md`. Each task needs:\n\n- YAML frontmatter (id, name, category, grading_type, timeout)\n- Prompt section\n- Expected behavior\n- Grading criteria\n- Automated checks (Python grading function)\n\n## Leaderboard\n\nView results at [pinchbench.com](https:\u002F\u002Fpinchbench.com). The leaderboard shows:\n\n- Model rankings by overall score\n- Per-task breakdowns\n- Historical performance trends\n","# PinchBench Benchmark Skill\n\nPinchBench measures how well LLM models perform as the brain of an OpenClaw agent. Results are collected on a public leaderboard at [pinchbench.com](https:\u002F\u002Fpinchbench.com).\n\n## Prerequisites\n\n- Python 3.10+\n- [uv](https:\u002F\u002Fdocs.astral.sh\u002Fuv\u002F) package manager\n- OpenClaw instance (this agent)\n\n## Quick Start\n\n```bash\ncd \u003Cskill_directory>\n\n# Run benchmark with a specific model\nuv run benchmark.py --model anthropic\u002Fclaude-sonnet-4\n\n# Run only automated tasks (faster)\nuv run benchmark.py --model anthropic\u002Fclaude-sonnet-4 --suite automated-only\n\n# Run specific tasks\nuv run benchmark.py --model anthropic\u002Fclaude-sonnet-4 --suite task_01_calendar,task_02_stock\n\n# Skip uploading results\nuv run benchmark.py --model anthropic\u002Fclaude-sonnet-4 --no-upload\n```\n\n## Available Tasks (23)\n\n| Task | Category | Description |\n|------|----------|-------------|\n| `task_00_sanity` | Basic | Verify agent works |\n| `task_01_calendar` | Productivity | Calendar event creation |\n| `task_02_stock` | Research | Stock price lookup |\n| `task_03_blog` | Writing | Blog post creation |\n| `task_04_weather` | Coding | Weather script |\n| `task_05_summary` | Analysis | Document summarization |\n| `task_06_events` | Research | Conference research |\n| `task_07_email` | Writing | Email drafting |\n| `task_08_memory` | Memory | Context retrieval |\n| `task_09_files` | Files | File structure creation |\n| `task_10_workflow` | Integration | Multi-step API workflow |\n| `task_11_clawdhub` | Skills | ClawHub interaction |\n| `task_12_skill_search` | Skills | Skill discovery |\n| `task_13_image_gen` | Creative | Image generation |\n| `task_14_humanizer` | Writing | Text humanization |\n| `task_15_daily_summary` | Productivity | Daily digest |\n| `task_16_email_triage` | Email | Inbox triage |\n| `task_17_email_search` | Email | Email search |\n| `task_18_market_research` | Research | Market analysis |\n| `task_19_spreadsheet_summary` | Analysis | Spreadsheet analysis |\n| `task_20_eli5_pdf_summary` | Analysis | PDF simplification |\n| `task_21_openclaw_comprehension` | Knowledge | OpenClaw docs comprehension |\n| `task_22_second_brain` | Memory | Knowledge management |\n\n## Command Line Options\n\n| Option | Description |\n|--------|-------------|\n| `--model` | Model identifier (e.g., `anthropic\u002Fclaude-sonnet-4`) |\n| `--suite` | `all`, `automated-only`, or comma-separated task IDs |\n| `--output-dir` | Results directory (default: `results\u002F`) |\n| `--timeout-multiplier` | Scale task timeouts for slower models |\n| `--runs` | Number of runs per task for averaging |\n| `--no-upload` | Skip uploading to leaderboard |\n| `--register` | Request new API token for submissions |\n| `--upload FILE` | Upload previous results JSON |\n\n## Token Registration\n\nTo submit results to the leaderboard:\n\n```bash\n# Register for an API token (one-time)\nuv run benchmark.py --register\n\n# Run benchmark (auto-uploads with token)\nuv run benchmark.py --model anthropic\u002Fclaude-sonnet-4\n```\n\n## Results\n\nResults are saved as JSON in the output directory:\n\n```bash\n# View task scores\njq '.tasks[] | {task_id, score: .grading.mean}' results\u002F0001_anthropic-claude-sonnet-4.json\n\n# Show failed tasks\njq '.tasks[] | select(.grading.mean \u003C 0.5)' results\u002F*.json\n\n# Calculate overall score\njq '{average: ([.tasks[].grading.mean] | add \u002F length)}' results\u002F*.json\n```\n\n## Adding Custom Tasks\n\nCreate a markdown file in `tasks\u002F` following `TASK_TEMPLATE.md`. 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