[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"skill:01M6KF7SBMSZD1ADEMBX7F1157":3,"skill-same:01M6KF7SBMSZD1ADEMBX7F1157":62},{"skillNo":4,"name":5,"nameZh":6,"description":7,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":6,"repositoryNo":12,"starsCount":13,"licenseSpdxId":14,"licenseFileUrl":6,"sourceHtmlUrl":15,"categories":16,"keywords":22,"publishedAt":35,"linkOnly":36,"markdownContent":37,"markdownBody":38,"frontMatter":39,"refName":40,"commitSha":41,"skillDirectory":42,"forksCount":43,"repositoryHtmlUrl":44,"repositoryHomepageUrl":45,"ownerHtmlUrl":46,"ownerBlogUrl":6,"ownerDescription":6,"updatedAt":47,"install":48,"resources":61},"01M6KF7SBMSZD1ADEMBX7F1157","run2_data-aggregation",null,"Aggregate and validate GitHub API data for metrics calculation with comprehensive error handling.","cxcscmu\u002FSkillLearnBench","cxcscmu","https:\u002F\u002Favatars.githubusercontent.com\u002Fu\u002F142838272?v=4","01M6KCQDFQWPDSN0MKZY96MSQP","01M6KCQDM7G70TKJ28NTSQC0RZ",93,"MIT","https:\u002F\u002Fgithub.com\u002Fcxcscmu\u002FSkillLearnBench\u002Fblob\u002Fmain\u002Fskills\u002Fb2-self-feedback-claude-haiku-4-5\u002Fgithub-repo-analytics\u002Frun2_data-aggregation\u002FSKILL.md",[17],{"categoryNo":18,"categoryName":19,"taxonomyType":20,"taxonomyTypeDesc":21},"01JBSEEDCAT000000000000033","数据分析师","PROFESSION","适用职业",[23,24,25,26,27,28,29,30,31,32,33,34],"data","aggregation","run2 data aggregation","github","validate","error handling","metrics","api","error","with","calculation","for","2026-11-10 10:12:30",false,"---\nname: run2_data-aggregation\ndescription: Aggregate and validate GitHub API data for metrics calculation with comprehensive error handling.\n---\n\n# Data Aggregation and Metrics Calculation\n\n## Overview\nConvert raw GitHub API responses into meaningful metrics with proper validation and error handling.\n\n## Data Validation Patterns\n\n### Null\u002FNone Handling\n```python\n# Always check for None values from API\nif pr.get(\"merged_at\") is None:\n    # PR not merged\n    pass\n```\n\n### Timezone-Aware Datetime Conversion\n```python\nfrom datetime import datetime\n\ndef parse_github_timestamp(iso_string):\n    \"\"\"Convert GitHub's ISO 8601 timestamps safely.\"\"\"\n    if not iso_string:\n        return None\n    return datetime.fromisoformat(iso_string.replace(\"Z\", \"+00:00\"))\n```\n\n## Key Metrics\n\n### 1. Time-to-Merge (days)\n```python\ndef calculate_time_to_merge(created_at, merged_at):\n    \"\"\"Calculate days from creation to merge.\"\"\"\n    if not merged_at:\n        return None\n    created = parse_github_timestamp(created_at)\n    merged = parse_github_timestamp(merged_at)\n    if not created or not merged:\n        return None\n    return (merged - created).total_seconds() \u002F 86400\n\n# Average calculation with validation\nmerge_times = [t for t in times if t is not None and t >= 0]\navg_days = sum(merge_times) \u002F len(merge_times) if merge_times else 0\navg_days = round(avg_days, 1)  # Round to 1 decimal place\n```\n\n### 2. State Counting\n```python\n# For PRs\nmerged_count = sum(1 for pr in prs if pr.get(\"merged_at\") is not None)\nclosed_count = sum(1 for pr in prs if pr.get(\"state\") == \"closed\")\nopen_count = sum(1 for pr in prs if pr.get(\"state\") == \"open\")\n```\n\n### 3. Label-Based Filtering\n```python\ndef has_label_substring(item, substring):\n    \"\"\"Check if any label contains substring (case-insensitive).\"\"\"\n    labels = item.get(\"labels\", [])\n    if not labels:\n        return False\n    return any(substring.lower() in label.get(\"name\", \"\").lower() for label in labels)\n\n# Count bug reports\nbug_issues = [i for i in issues if has_label_substring(i, \"bug\")]\n```\n\n### 4. Top Contributor\n```python\nfrom collections import Counter\n\ndef get_top_contributor(items):\n    \"\"\"Find person with most contributions.\"\"\"\n    authors = []\n    for item in items:\n        user = item.get(\"user\")\n        if user and user.get(\"login\"):\n            authors.append(user[\"login\"])\n\n    if not authors:\n        return None\n\n    return Counter(authors).most_common(1)[0][0]\n```\n\n## Data Quality Checks\n\n```python\ndef validate_data(prs, issues):\n    \"\"\"Validate data integrity.\"\"\"\n    errors = []\n\n    if not isinstance(prs, list):\n        errors.append(\"PRs must be a list\")\n    if not isinstance(issues, list):\n        errors.append(\"Issues must be a list\")\n\n    # Spot check a few items\n    for pr in prs[:5]:\n        if \"created_at\" not in pr:\n            errors.append(\"Missing created_at in PR\")\n            break\n\n    return errors\n```\n\n## Edge Cases\n\n1. **No data**: Return 0 for counts, None for averages\n2. **Invalid dates**: Skip items with parse errors, log warnings\n3. **Missing authors**: Use None instead of failing\n4. **Labels array empty**: Treat as no matching labels\n5. **Negative time-to-merge**: Indicates data inconsistency, exclude from average\n\n## Output Format\nReturn clean dictionaries with all required fields present:\n```python\n{\n    \"pr\": {\n        \"total\": int,\n        \"merged\": int,\n        \"closed\": int,\n        \"avg_merge_days\": float,\n        \"top_contributor\": str or None\n    },\n    \"issue\": {\n        \"total\": int,\n        \"bug\": int,\n        \"resolved_bugs\": int\n    }\n}\n```\n","# Data Aggregation and Metrics Calculation\n\n## Overview\nConvert raw GitHub API responses into meaningful metrics with proper validation and error handling.\n\n## Data Validation Patterns\n\n### Null\u002FNone Handling\n```python\n# Always check for None values from API\nif pr.get(\"merged_at\") is None:\n    # PR not merged\n    pass\n```\n\n### Timezone-Aware Datetime Conversion\n```python\nfrom datetime import datetime\n\ndef parse_github_timestamp(iso_string):\n    \"\"\"Convert GitHub's ISO 8601 timestamps safely.\"\"\"\n    if not iso_string:\n        return None\n    return datetime.fromisoformat(iso_string.replace(\"Z\", \"+00:00\"))\n```\n\n## Key Metrics\n\n### 1. Time-to-Merge (days)\n```python\ndef calculate_time_to_merge(created_at, merged_at):\n    \"\"\"Calculate days from creation to merge.\"\"\"\n    if not merged_at:\n        return None\n    created = parse_github_timestamp(created_at)\n    merged = parse_github_timestamp(merged_at)\n    if not created or not merged:\n        return None\n    return (merged - created).total_seconds() \u002F 86400\n\n# Average calculation with validation\nmerge_times = [t for t in times if t is not None and t >= 0]\navg_days = sum(merge_times) \u002F len(merge_times) if merge_times else 0\navg_days = round(avg_days, 1)  # Round to 1 decimal place\n```\n\n### 2. State Counting\n```python\n# For PRs\nmerged_count = sum(1 for pr in prs if pr.get(\"merged_at\") is not None)\nclosed_count = sum(1 for pr in prs if pr.get(\"state\") == \"closed\")\nopen_count = sum(1 for pr in prs if pr.get(\"state\") == \"open\")\n```\n\n### 3. Label-Based Filtering\n```python\ndef has_label_substring(item, substring):\n    \"\"\"Check if any label contains substring (case-insensitive).\"\"\"\n    labels = item.get(\"labels\", [])\n    if not labels:\n        return False\n    return any(substring.lower() in label.get(\"name\", \"\").lower() for label in labels)\n\n# Count bug reports\nbug_issues = [i for i in issues if has_label_substring(i, \"bug\")]\n```\n\n### 4. Top Contributor\n```python\nfrom collections import Counter\n\ndef get_top_contributor(items):\n    \"\"\"Find person with most contributions.\"\"\"\n    authors = []\n    for item in items:\n        user = item.get(\"user\")\n        if user and user.get(\"login\"):\n            authors.append(user[\"login\"])\n\n    if not authors:\n        return None\n\n    return Counter(authors).most_common(1)[0][0]\n```\n\n## Data Quality Checks\n\n```python\ndef validate_data(prs, issues):\n    \"\"\"Validate data integrity.\"\"\"\n    errors = []\n\n    if not isinstance(prs, list):\n        errors.append(\"PRs must be a list\")\n    if not isinstance(issues, list):\n        errors.append(\"Issues must be a list\")\n\n    # Spot check a few items\n    for pr in prs[:5]:\n        if \"created_at\" not in pr:\n            errors.append(\"Missing created_at in PR\")\n            break\n\n    return errors\n```\n\n## Edge Cases\n\n1. **No data**: Return 0 for counts, None for averages\n2. **Invalid dates**: Skip items with parse errors, log warnings\n3. **Missing authors**: Use None instead of failing\n4. **Labels array empty**: Treat as no matching labels\n5. **Negative time-to-merge**: Indicates data inconsistency, exclude from average\n\n## Output Format\nReturn clean dictionaries with all required fields present:\n```python\n{\n    \"pr\": {\n        \"total\": int,\n        \"merged\": int,\n        \"closed\": int,\n        \"avg_merge_days\": float,\n        \"top_contributor\": str or None\n    },\n    \"issue\": {\n        \"total\": int,\n        \"bug\": int,\n        \"resolved_bugs\": int\n    }\n}\n```\n",{"name":5,"description":7},"main","726e1f79b96b0cb3d729d0e55a1c847e0b5353ae","skills\u002Fb2-self-feedback-claude-haiku-4-5\u002Fgithub-repo-analytics\u002Frun2_data-aggregation",8,"https:\u002F\u002Fgithub.com\u002Fcxcscmu\u002FSkillLearnBench","https:\u002F\u002Fcxcscmu.github.io\u002FSkillLearnBench","https:\u002F\u002Fgithub.com\u002Fcxcscmu","2026-10-02 22:55:36",{"source":8,"skillName":5,"commands":49,"prompt":59,"zipAvailable":60},[50,53,56],{"tool":51,"command":52},"npx","npx skills add cxcscmu\u002FSkillLearnBench --skill run2_data-aggregation",{"tool":54,"command":55},"bunx","bunx skills add cxcscmu\u002FSkillLearnBench --skill run2_data-aggregation",{"tool":57,"command":58},"pnpm","pnpm dlx skills add cxcscmu\u002FSkillLearnBench --skill run2_data-aggregation","安装技能，技能地址：https:\u002F\u002Fgithub.com\u002Fcxcscmu\u002FSkillLearnBench\u002Fblob\u002Fmain\u002Fskills\u002Fb2-self-feedback-claude-haiku-4-5\u002Fgithub-repo-analytics\u002Frun2_data-aggregation\u002FSKILL.md",true,[],[63,81,105,123,142,154],{"skillNo":64,"name":65,"nameZh":6,"description":66,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":6,"repositoryNo":12,"starsCount":13,"licenseSpdxId":14,"licenseFileUrl":6,"sourceHtmlUrl":67,"categories":68,"keywords":74,"publishedAt":35},"01M6KM5KH175P5ABP5JMX2SBDQ","object_counter","Count occurrences of an object in the image using computer vision algorithm.","https:\u002F\u002Fgithub.com\u002Fcxcscmu\u002FSkillLearnBench\u002Fblob\u002Fmain\u002Fskills\u002Fhuman_authored\u002Fvideo-object-counting\u002Fobject_counter\u002FSKILL.md",[69],{"categoryNo":70,"categoryName":71,"taxonomyType":72,"taxonomyTypeDesc":73},"01JBSEEDCAT000000000000016","图像与多媒体","SCENARIO","使用场景",[75,76,77,78,79,80],"object counter","object","vision","computer","Computer Vision","image",{"skillNo":82,"name":83,"nameZh":6,"description":84,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":6,"repositoryNo":12,"starsCount":13,"licenseSpdxId":14,"licenseFileUrl":6,"sourceHtmlUrl":85,"categories":86,"keywords":90,"publishedAt":35},"01M6KM51TMVXG79MMPCS6Y8G86","travel-planning-workflow","Invoke this skill when performing travel planning. It defines a structured workflow for generating itineraries. Following this workflow is essential to ensure the final plan satisfies user requirements.","https:\u002F\u002Fgithub.com\u002Fcxcscmu\u002FSkillLearnBench\u002Fblob\u002Fmain\u002Fskills\u002Fhuman_authored\u002Ftravel-planning\u002Ftravel-planning-workflow\u002FSKILL.md",[87],{"categoryNo":88,"categoryName":89,"taxonomyType":72,"taxonomyTypeDesc":73},"01JBSEEDCAT000000000000023","Skill与智能体开发",[91,92,93,94,95,96,97,98,99,34,100,101,102,103,104],"workflow","planning","planning workflow","travel","travel planning","travel planning workflow","structured","performing","plan","user","it","requirements","essential","itineraries",{"skillNo":106,"name":107,"nameZh":6,"description":108,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":6,"repositoryNo":12,"starsCount":13,"licenseSpdxId":14,"licenseFileUrl":6,"sourceHtmlUrl":109,"categories":110,"keywords":111,"publishedAt":35},"01M6KM4DY820XHS9YTSK5QP5HD","bundled-dataset-search-tool","invoke this skill when you need to perform database search for travel planning. This skill provides some useful pre-packaged tools to look up accommodations, attractions, cities, driving distance, flights, and restaurants from the bundled dataset.","https:\u002F\u002Fgithub.com\u002Fcxcscmu\u002FSkillLearnBench\u002Fblob\u002Fmain\u002Fskills\u002Fhuman_authored\u002Ftravel-planning\u002Fbundled-dataset-search-tool\u002FSKILL.md",[],[112,113,114,115,116,117,118,94,119,120,95,121,34,122,92],"search","tool","dataset","bundled dataset search tool","restaurants","Tools","up","look","flights","you","database",{"skillNo":124,"name":125,"nameZh":6,"description":126,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":6,"repositoryNo":12,"starsCount":13,"licenseSpdxId":14,"licenseFileUrl":6,"sourceHtmlUrl":127,"categories":128,"keywords":129,"publishedAt":35},"01M6KM465BB9PQ0B548HQSVAWZ","glm-output","Output-processing guidance for GLM tasks. Especially useful after glm-basics and glm-calibration when you need verifier-matching metrics from output.nc and a final \u002Froot\u002Fmetrics.json.","https:\u002F\u002Fgithub.com\u002Fcxcscmu\u002FSkillLearnBench\u002Fblob\u002Fmain\u002Fskills\u002Fhuman_authored\u002Ftemperature-simulation\u002Fglm-output\u002FSKILL.md",[],[130,131,132,34,133,29,134,135,136,137,138,139,121,140,141],"glm output","output","glm","tasks","json","basics","guidance","matching","verifier","processing","root","calibration",{"skillNo":143,"name":144,"nameZh":6,"description":145,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":6,"repositoryNo":12,"starsCount":13,"licenseSpdxId":14,"licenseFileUrl":6,"sourceHtmlUrl":146,"categories":147,"keywords":149,"publishedAt":35},"01M6KM40KY3QWDW5W97S39R2BC","glm-calibration","Calibration guidance for GLM tasks. Often most effective after glm-basics has clarified the setup; glm-output is the companion skill for exact final metric computation.","https:\u002F\u002Fgithub.com\u002Fcxcscmu\u002FSkillLearnBench\u002Fblob\u002Fmain\u002Fskills\u002Fhuman_authored\u002Ftemperature-simulation\u002Fglm-calibration\u002FSKILL.md",[148],{"categoryNo":88,"categoryName":89,"taxonomyType":72,"taxonomyTypeDesc":73},[150,141,132,131,136,135,133,151,152,34,153],"glm calibration","setup","companion","metric",{"skillNo":155,"name":156,"nameZh":6,"description":157,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":6,"repositoryNo":12,"starsCount":13,"licenseSpdxId":14,"licenseFileUrl":6,"sourceHtmlUrl":158,"categories":159,"keywords":160,"publishedAt":35},"01M6KM3VHHVSGMGHJQB3PPT6YG","glm-basics","A good starting point for GLM calibration tasks. Use to inspect glm3.nml, confirm how GLM runs, and identify the relevant files before moving on to calibration and output evaluation.","https:\u002F\u002Fgithub.com\u002Fcxcscmu\u002FSkillLearnBench\u002Fblob\u002Fmain\u002Fskills\u002Fhuman_authored\u002Ftemperature-simulation\u002Fglm-basics\u002FSKILL.md",[],[161,132,135,162,150,141,34,131,163,164,165,166,167,168,133],"glm basics","inspect","relevant","files","good","use","how","Evaluation"]