[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"skill:01M6KHJP4W94VMQM41XVRQDRP2":3,"skill-same:01M6KHJP4W94VMQM41XVRQDRP2":63},{"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":36,"linkOnly":37,"markdownContent":38,"markdownBody":39,"frontMatter":40,"refName":41,"commitSha":42,"skillDirectory":43,"forksCount":44,"repositoryHtmlUrl":45,"repositoryHomepageUrl":46,"ownerHtmlUrl":47,"ownerBlogUrl":6,"ownerDescription":6,"updatedAt":48,"install":49,"resources":62},"01M6KHJP4W94VMQM41XVRQDRP2","csv-security-report-generation",null,"Formatting security audit findings into a standardized CSV format for reporting and compliance.","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\u002Fb3-teacher-feedback-gemini-3-flash-preview\u002Fdependency-vulnerability-check\u002Frun1_csv-security-report-generation\u002FSKILL.md",[17],{"categoryNo":18,"categoryName":19,"taxonomyType":20,"taxonomyTypeDesc":21},"01JBSEEDCAT000000000000004","电子表格","SCENARIO","使用场景",[23,24,25,26,27,28,29,30,31,32,33,34,35],"security","report","csv","security report","generation","csv security report generation","audit","reporting","compliance","security audit","format","formatting","for","2026-11-10 10:12:30",false,"---\nname: csv-security-report-generation\ndescription: Formatting security audit findings into a standardized CSV format for reporting and compliance.\n---\n\n### CSV Structure Requirements\nThe output must strictly follow the specified column order:\n`Package,Version,CVE_ID,Severity,CVSS_Score,Fixed_Version,Title,Url`\n\n### Handling Edge Cases\n*   **Missing CVEs**: If a vulnerability has no CVE assigned, use the internal identifier (e.g., GHSA-xxxx-xxxx-xxxx).\n*   **Multiple CVEs**: If one dependency has multiple vulnerabilities, each should be a separate row in the CSV.\n*   **Missing CVSS**: If the tool does not provide a numeric CVSS score, check the reference URL or mark it based on the severity level if a range is known.\n*   **Fix Availability**: If `fixAvailable` is `false` or `null`, the `Fixed_Version` column must explicitly state `N\u002FA`.\n*   **Special Characters**: Ensure fields containing commas (like Titles) are properly quoted to maintain CSV integrity.\n\n### Data Sanitization\nEnsure that the `CVSS_Score` is a float or string representing the decimal score, and that the `Severity` is capitalized consistently (e.g., \"HIGH\", \"CRITICAL\") to meet reporting standards.","### CSV Structure Requirements\nThe output must strictly follow the specified column order:\n`Package,Version,CVE_ID,Severity,CVSS_Score,Fixed_Version,Title,Url`\n\n### Handling Edge Cases\n*   **Missing CVEs**: If a vulnerability has no CVE assigned, use the internal identifier (e.g., GHSA-xxxx-xxxx-xxxx).\n*   **Multiple CVEs**: If one dependency has multiple vulnerabilities, each should be a separate row in the CSV.\n*   **Missing CVSS**: If the tool does not provide a numeric CVSS score, check the reference URL or mark it based on the severity level if a range is known.\n*   **Fix Availability**: If `fixAvailable` is `false` or `null`, the `Fixed_Version` column must explicitly state `N\u002FA`.\n*   **Special Characters**: Ensure fields containing commas (like Titles) are properly quoted to maintain CSV integrity.\n\n### Data Sanitization\nEnsure that the `CVSS_Score` is a float or string representing the decimal score, and that the `Severity` is capitalized consistently (e.g., \"HIGH\", \"CRITICAL\") to meet reporting standards.",{"name":5,"description":7},"main","726e1f79b96b0cb3d729d0e55a1c847e0b5353ae","skills\u002Fb3-teacher-feedback-gemini-3-flash-preview\u002Fdependency-vulnerability-check\u002Frun1_csv-security-report-generation",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":50,"prompt":60,"zipAvailable":61},[51,54,57],{"tool":52,"command":53},"npx","npx skills add cxcscmu\u002FSkillLearnBench --skill csv-security-report-generation",{"tool":55,"command":56},"bunx","bunx skills add cxcscmu\u002FSkillLearnBench --skill csv-security-report-generation",{"tool":58,"command":59},"pnpm","pnpm dlx skills add cxcscmu\u002FSkillLearnBench --skill csv-security-report-generation","安装技能，技能地址：https:\u002F\u002Fgithub.com\u002Fcxcscmu\u002FSkillLearnBench\u002Fblob\u002Fmain\u002Fskills\u002Fb3-teacher-feedback-gemini-3-flash-preview\u002Fdependency-vulnerability-check\u002Frun1_csv-security-report-generation\u002FSKILL.md",true,[],[64,80,104,122,142,154],{"skillNo":65,"name":66,"nameZh":6,"description":67,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":6,"repositoryNo":12,"starsCount":13,"licenseSpdxId":14,"licenseFileUrl":6,"sourceHtmlUrl":68,"categories":69,"keywords":73,"publishedAt":36},"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",[70],{"categoryNo":71,"categoryName":72,"taxonomyType":20,"taxonomyTypeDesc":21},"01JBSEEDCAT000000000000016","图像与多媒体",[74,75,76,77,78,79],"object counter","object","vision","computer","Computer Vision","image",{"skillNo":81,"name":82,"nameZh":6,"description":83,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":6,"repositoryNo":12,"starsCount":13,"licenseSpdxId":14,"licenseFileUrl":6,"sourceHtmlUrl":84,"categories":85,"keywords":89,"publishedAt":36},"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",[86],{"categoryNo":87,"categoryName":88,"taxonomyType":20,"taxonomyTypeDesc":21},"01JBSEEDCAT000000000000023","Skill与智能体开发",[90,91,92,93,94,95,96,97,98,35,99,100,101,102,103],"workflow","planning","planning workflow","travel","travel planning","travel planning workflow","structured","performing","plan","user","it","requirements","essential","itineraries",{"skillNo":105,"name":106,"nameZh":6,"description":107,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":6,"repositoryNo":12,"starsCount":13,"licenseSpdxId":14,"licenseFileUrl":6,"sourceHtmlUrl":108,"categories":109,"keywords":110,"publishedAt":36},"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",[],[111,112,113,114,115,116,117,93,118,119,94,120,35,121,91],"search","tool","dataset","bundled dataset search tool","restaurants","Tools","up","look","flights","you","database",{"skillNo":123,"name":124,"nameZh":6,"description":125,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":6,"repositoryNo":12,"starsCount":13,"licenseSpdxId":14,"licenseFileUrl":6,"sourceHtmlUrl":126,"categories":127,"keywords":128,"publishedAt":36},"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",[],[129,130,131,35,132,133,134,135,136,137,138,139,120,140,141],"glm output","output","glm","tasks","metrics","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":36},"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":87,"categoryName":88,"taxonomyType":20,"taxonomyTypeDesc":21},[150,141,131,130,136,135,132,151,152,35,153],"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":36},"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",[],[161,131,135,162,150,141,35,130,163,164,165,166,167,168,132],"glm basics","inspect","relevant","files","good","use","how","Evaluation"]