[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"skill:01M6KG1REP76FA2BE0ME5M9780":3,"skill-same:01M6KG1REP76FA2BE0ME5M9780":56},{"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":17,"publishedAt":29,"linkOnly":30,"markdownContent":31,"markdownBody":32,"frontMatter":33,"refName":34,"commitSha":35,"skillDirectory":36,"forksCount":37,"repositoryHtmlUrl":38,"repositoryHomepageUrl":39,"ownerHtmlUrl":40,"ownerBlogUrl":6,"ownerDescription":6,"updatedAt":41,"install":42,"resources":55},"01M6KG1REP76FA2BE0ME5M9780","run2_robust_community_metrics",null,"Robust Python logic for community pulse metrics with substring label matching and precise PR status handling.","cxcscmu\u002FSkillLearnBench","cxcscmu","https:\u002F\u002Favatars.githubusercontent.com\u002Fu\u002F142838272?v=4","01M6KCQDFQWPDSN0MKZY96MSQP","01M6KCQDM7G70TKJ28NTSQC0RZ",92,"MIT","https:\u002F\u002Fgithub.com\u002Fcxcscmu\u002FSkillLearnBench\u002Fblob\u002Fmain\u002Fskills\u002Fb2-self-feedback-gemini-3-flash-preview\u002Fgithub-repo-analytics\u002Frun2_robust_community_metrics\u002FSKILL.md",[],[18,19,20,21,22,23,24,25,26,27,28],"metrics","community","run2 robust community metrics","python","status","pr","pulse","logic","matching","with","for","2026-11-10 10:12:30",false,"---\nname: run2_robust_community_metrics\ndescription: Robust Python logic for community pulse metrics with substring label matching and precise PR status handling.\n---\n\n# Robust Community Metrics\n\nThis skill focuses on precision and robustness when calculating metrics from GitHub JSON data.\n\n## Substring Label Matching (The \"Bug\" Filter)\n\nTo follow the requirement of matching any label containing a substring:\n```python\ndef is_bug_report(issue, substring='bug'):\n    return any(substring in label['name'].lower() for label in issue.get('labels', []))\n```\n\n## Precise PR Status (Merged vs. Closed)\n\nIn GitHub, a PR can be `open` or `closed`. A `closed` PR might be `merged`.\n- **Merged**: `pull_request.merged_at` is not null.\n- **Closed (Unmerged)**: `state == \"closed\"` AND `pull_request.merged_at` is null.\n\n## Time-to-Merge Calculation\n\nAlways use `datetime.fromisoformat` and handle UTC offsets (replacing 'Z' with '+00:00').\n```python\ndef get_merge_days(created_at_str, merged_at_str):\n    created = datetime.fromisoformat(created_at_str.replace('Z', '+00:00'))\n    merged = datetime.fromisoformat(merged_at_str.replace('Z', '+00:00'))\n    return (merged - created).total_seconds() \u002F (24 * 3600)\n```\n\n## Handling Large Data Sets\n\nWhen dealing with more than 100 items, ensure the processing script can merge multiple JSON files or handle an array of items.\n","# Robust Community Metrics\n\nThis skill focuses on precision and robustness when calculating metrics from GitHub JSON data.\n\n## Substring Label Matching (The \"Bug\" Filter)\n\nTo follow the requirement of matching any label containing a substring:\n```python\ndef is_bug_report(issue, substring='bug'):\n    return any(substring in label['name'].lower() for label in issue.get('labels', []))\n```\n\n## Precise PR Status (Merged vs. Closed)\n\nIn GitHub, a PR can be `open` or `closed`. A `closed` PR might be `merged`.\n- **Merged**: `pull_request.merged_at` is not null.\n- **Closed (Unmerged)**: `state == \"closed\"` AND `pull_request.merged_at` is null.\n\n## Time-to-Merge Calculation\n\nAlways use `datetime.fromisoformat` and handle UTC offsets (replacing 'Z' with '+00:00').\n```python\ndef get_merge_days(created_at_str, merged_at_str):\n    created = datetime.fromisoformat(created_at_str.replace('Z', '+00:00'))\n    merged = datetime.fromisoformat(merged_at_str.replace('Z', '+00:00'))\n    return (merged - created).total_seconds() \u002F (24 * 3600)\n```\n\n## Handling Large Data Sets\n\nWhen dealing with more than 100 items, ensure the processing script can merge multiple JSON files or handle an array of items.\n",{"name":5,"description":7},"main","726e1f79b96b0cb3d729d0e55a1c847e0b5353ae","skills\u002Fb2-self-feedback-gemini-3-flash-preview\u002Fgithub-repo-analytics\u002Frun2_robust_community_metrics",7,"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":43,"prompt":53,"zipAvailable":54},[44,47,50],{"tool":45,"command":46},"npx","npx skills add cxcscmu\u002FSkillLearnBench --skill run2_robust_community_metrics",{"tool":48,"command":49},"bunx","bunx skills add cxcscmu\u002FSkillLearnBench --skill run2_robust_community_metrics",{"tool":51,"command":52},"pnpm","pnpm dlx skills add cxcscmu\u002FSkillLearnBench --skill run2_robust_community_metrics","安装技能，技能地址：https:\u002F\u002Fgithub.com\u002Fcxcscmu\u002FSkillLearnBench\u002Fblob\u002Fmain\u002Fskills\u002Fb2-self-feedback-gemini-3-flash-preview\u002Fgithub-repo-analytics\u002Frun2_robust_community_metrics\u002FSKILL.md",true,[],[57,75,99,117,135,147],{"skillNo":58,"name":59,"nameZh":6,"description":60,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":6,"repositoryNo":12,"starsCount":13,"licenseSpdxId":14,"licenseFileUrl":6,"sourceHtmlUrl":61,"categories":62,"keywords":68,"publishedAt":29},"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",[63],{"categoryNo":64,"categoryName":65,"taxonomyType":66,"taxonomyTypeDesc":67},"01JBSEEDCAT000000000000016","图像与多媒体","SCENARIO","使用场景",[69,70,71,72,73,74],"object counter","object","vision","computer","Computer Vision","image",{"skillNo":76,"name":77,"nameZh":6,"description":78,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":6,"repositoryNo":12,"starsCount":13,"licenseSpdxId":14,"licenseFileUrl":6,"sourceHtmlUrl":79,"categories":80,"keywords":84,"publishedAt":29},"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",[81],{"categoryNo":82,"categoryName":83,"taxonomyType":66,"taxonomyTypeDesc":67},"01JBSEEDCAT000000000000023","Skill与智能体开发",[85,86,87,88,89,90,91,92,93,28,94,95,96,97,98],"workflow","planning","planning workflow","travel","travel planning","travel planning workflow","structured","performing","plan","user","it","requirements","essential","itineraries",{"skillNo":100,"name":101,"nameZh":6,"description":102,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":6,"repositoryNo":12,"starsCount":13,"licenseSpdxId":14,"licenseFileUrl":6,"sourceHtmlUrl":103,"categories":104,"keywords":105,"publishedAt":29},"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",[],[106,107,108,109,110,111,112,88,113,114,89,115,28,116,86],"search","tool","dataset","bundled dataset search tool","restaurants","Tools","up","look","flights","you","database",{"skillNo":118,"name":119,"nameZh":6,"description":120,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":6,"repositoryNo":12,"starsCount":13,"licenseSpdxId":14,"licenseFileUrl":6,"sourceHtmlUrl":121,"categories":122,"keywords":123,"publishedAt":29},"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",[],[124,125,126,28,127,18,128,129,130,26,131,132,115,133,134],"glm output","output","glm","tasks","json","basics","guidance","verifier","processing","root","calibration",{"skillNo":136,"name":137,"nameZh":6,"description":138,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":6,"repositoryNo":12,"starsCount":13,"licenseSpdxId":14,"licenseFileUrl":6,"sourceHtmlUrl":139,"categories":140,"keywords":142,"publishedAt":29},"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",[141],{"categoryNo":82,"categoryName":83,"taxonomyType":66,"taxonomyTypeDesc":67},[143,134,126,125,130,129,127,144,145,28,146],"glm calibration","setup","companion","metric",{"skillNo":148,"name":149,"nameZh":6,"description":150,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":6,"repositoryNo":12,"starsCount":13,"licenseSpdxId":14,"licenseFileUrl":6,"sourceHtmlUrl":151,"categories":152,"keywords":153,"publishedAt":29},"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",[],[154,126,129,155,143,134,28,125,156,157,158,159,160,161,127],"glm basics","inspect","relevant","files","good","use","how","Evaluation"]