[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"skill:01M6KF5C7GT4QATHT69JG253FA":3,"skill-same:01M6KF5C7GT4QATHT69JG253FA":60},{"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":33,"linkOnly":34,"markdownContent":35,"markdownBody":36,"frontMatter":37,"refName":38,"commitSha":39,"skillDirectory":40,"forksCount":41,"repositoryHtmlUrl":42,"repositoryHomepageUrl":43,"ownerHtmlUrl":44,"ownerBlogUrl":6,"ownerDescription":6,"updatedAt":45,"install":46,"resources":59},"01M6KF5C7GT4QATHT69JG253FA","run2_cvss-scoring-strategy",null,"Strategic CVSS score extraction with multi-source lookup, fallback handling, and NVD\u002FGHSA integration","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-claude-haiku-4-5\u002Fdependency-vulnerability-check\u002Frun2_cvss-scoring-strategy\u002FSKILL.md",[],[18,19,20,21,22,23,24,25,26,27,28,29,30,31,32],"cvss","strategy","scoring","run2 cvss scoring strategy","extraction","integration","NVD","lookup","fallback","multi","strategic","with","multi-source","source","cvss score extraction","2026-11-10 10:12:30",false,"---\nname: run2_cvss-scoring-strategy\ndescription: Strategic CVSS score extraction with multi-source lookup, fallback handling, and NVD\u002FGHSA integration\n---\n\n# CVSS Scoring Strategy and Extraction\n\n## Purpose\nImplement robust CVSS score extraction with fallback strategies, multi-source validation, and proper handling of missing scores.\n\n## CVSS Score Sources in Priority Order\n\n### 1. Trivy JSON CVSS Data\nFirst check Trivy's embedded CVSS information:\n\n```json\n\"CVSS\": {\n  \"nvd\": {\n    \"V3Score\": 7.5,\n    \"V3Vector\": \"CVSS:3.1\u002FAV:N\u002FAC:L\u002FAT:N\u002FPR:N\u002FUI:N\u002FS:U\u002FC:N\u002FI:H\u002FA:N\"\n  },\n  \"ghsa\": {\n    \"V3Score\": 7.5\n  }\n}\n```\n\n**Extraction Logic:**\n```python\ndef get_cvss_from_trivy(vuln_data):\n    \"\"\"Extract CVSS from Trivy CVSS field\"\"\"\n    cvss = vuln_data.get(\"CVSS\", {})\n\n    # Priority: NVD v3 > GHSA v3 > Other sources\n    if \"nvd\" in cvss and \"V3Score\" in cvss[\"nvd\"]:\n        return cvss[\"nvd\"][\"V3Score\"]\n\n    if \"ghsa\" in cvss and \"V3Score\" in cvss[\"ghsa\"]:\n        return cvss[\"ghsa\"][\"V3Score\"]\n\n    for source in [\"redhat\", \"ubuntu\", \"oracle\"]:\n        if source in cvss and \"V3Score\" in cvss[source]:\n            return cvss[source][\"V3Score\"]\n\n    return None\n```\n\n### 2. NVD (NIST) Database Lookup\nWhen Trivy doesn't have CVSS, construct NVD URL and note for manual lookup:\n\n**NVD URL Format:**\n```\nhttps:\u002F\u002Fnvd.nist.gov\u002Fvuln\u002Fdetail\u002F{CVE-ID}\n```\n\n**When to Use:**\n- Trivy has no CVSS data\n- Need v3.1 (most current) CVSS scores\n- Severity from GHSA but need NVD CVSS validation\n\n**Extraction Pattern:**\n- Look for \"Base Score\" on NVD page\n- CVSS v3.1 preferred over v3.0\n- Accept CVSS v2.0 as last resort\n\n### 3. GHSA (GitHub Security Advisory) Lookup\nFor npm packages, GHSA often has detailed scoring:\n\n**GHSA URL Format (if available):**\n```\nhttps:\u002F\u002Fgithub.com\u002Fadvisories\u002F{GHSA-ID}\n```\n\n**When to Use:**\n- Trivy lists VendorIDs with GHSA-* prefix\n- Need GitHub-specific assessments\n- npm-specific vulnerability context\n\n**Mapping:**\n```python\n# From Trivy's VendorSeverity codes\nvendor_severity_map = {\n    0: \"LOW\",\n    1: \"MODERATE\",\n    2: \"MEDIUM\",\n    3: \"HIGH\",\n    4: \"CRITICAL\"\n}\n```\n\n### 4. RedHat Advisory Database\nFor packages affecting Red Hat distributions:\n\n**RedHat URL Format:**\n```\nhttps:\u002F\u002Faccess.redhat.com\u002Fsecurity\u002Fcve\u002F{CVE-ID}\n```\n\n**When to Use:**\n- RedHat vulnerability data available\n- Enterprise Linux security context needed\n- Legacy vulnerability tracking\n\n## Multi-Source Validation\n\n### Consistency Checking\n```python\ndef validate_cvss_consistency(cvss_score, severity_level):\n    \"\"\"Check CVSS score matches reported severity\"\"\"\n    try:\n        score = float(cvss_score)\n    except (ValueError, TypeError):\n        return True  # Can't validate if not numeric\n\n    # CVSS thresholds per NIST\n    if severity_level == \"CRITICAL\" and score \u003C 9.0:\n        return False  # CRITICAL should be 9.0+\n    if severity_level == \"HIGH\" and score \u003C 7.0:\n        return False  # HIGH should be 7.0-8.9\n\n    return True\n```\n\n### Fallback Strategy\n\nWhen CVSS score is completely unavailable:\n\n```python\ndef get_cvss_with_fallback(vuln_data, cve_id):\n    \"\"\"\n    Get CVSS score with multi-level fallback\n    Returns: (score, source, confidence)\n    \"\"\"\n\n    # Level 1: Trivy embedded CVSS\n    trivy_score = get_cvss_from_trivy(vuln_data)\n    if trivy_score:\n        return (trivy_score, \"trivy_embedded\", \"high\")\n\n    # Level 2: CVSS in references (parsed from URLs)\n    refs_score = extract_from_references(vuln_data.get(\"References\", []))\n    if refs_score:\n        return (refs_score, \"references\", \"medium\")\n\n    # Level 3: Infer from severity and vendor codes\n    inferred = infer_from_vendor_severity(vuln_data.get(\"VendorSeverity\", {}))\n    if inferred:\n        return (inferred, \"inferred\", \"low\")\n\n    # Level 4: Use severity level as signal\n    severity = vuln_data.get(\"Severity\", \"\")\n    if severity == \"CRITICAL\":\n        return (\"9.0\", \"severity_mapping\", \"minimal\")\n    elif severity == \"HIGH\":\n        return (\"7.5\", \"severity_mapping\", \"minimal\")\n\n    # No score available\n    return (\"N\u002FA\", \"not_available\", \"none\")\n```\n\n## Handling Special Cases\n\n### Missing CVSS with Available Severity\n- CVSS is informational enhancement, not required\n- Severity level (HIGH\u002FCRITICAL) is the hard requirement\n- Report \"N\u002FA\" for CVSS when unavailable\n- Do NOT fabricate CVSS scores\n\n### Discrepancies Between Severity and CVSS\n- Document the discrepancy\n- Use the more conservative assessment\n- Example: If CVSS says 6.5 but severity is HIGH, use \"N\u002FA\" and note discrepancy\n\n### Version-Specific CVSS\nSome CVEs have version-specific scoring:\n- Report the relevant version's score\n- If package version is 7.3.7 and CVSS is for 7.3.x, use it\n- Otherwise use the general CVSS v3 score\n\n## CVSS Score Format Standardization\n\n```python\ndef standardize_cvss_score(score):\n    \"\"\"Format CVSS score for CSV output\"\"\"\n    if score is None or score == \"\" or score == \"N\u002FA\":\n        return \"N\u002FA\"\n\n    try:\n        # Convert to float and back to string for consistent formatting\n        f_score = float(score)\n        if 0 \u003C= f_score \u003C= 10:\n            return str(round(f_score, 1))  # One decimal place\n        else:\n            return \"N\u002FA\"  # Invalid CVSS range\n    except (ValueError, TypeError):\n        return \"N\u002FA\"\n```\n\n## Audit Trail for Score Extraction\n\nTrack scoring source for audit purposes:\n```python\n{\n    \"package\": \"semver\",\n    \"cve_id\": \"CVE-2022-25883\",\n    \"cvss_score\": \"7.5\",\n    \"cvss_source\": \"trivy_embedded\",\n    \"severity_source\": \"ghsa\",\n    \"confidence\": \"high\"\n}\n```\n\nThis enables verification and understanding of score derivation.\n\n## Examples\n\n### Example 1: Complete CVSS Available\n```json\n{\n  \"VulnerabilityID\": \"CVE-2022-25883\",\n  \"Severity\": \"HIGH\",\n  \"CVSS\": {\n    \"nvd\": {\"V3Score\": 7.5},\n    \"ghsa\": {\"V3Score\": 7.5}\n  }\n}\n```\n**Result:** CVSS = 7.5 ✓\n\n### Example 2: No CVSS, Severity Available\n```json\n{\n  \"VulnerabilityID\": \"CVE-2024-29415\",\n  \"Severity\": \"HIGH\",\n  \"CVSS\": {}\n}\n```\n**Result:** CVSS = \"N\u002FA\" ✓ (Severity is sufficient)\n\n### Example 3: Multiple CVSS Sources\n```json\n{\n  \"VulnerabilityID\": \"CVE-2023-XXXXX\",\n  \"Severity\": \"CRITICAL\",\n  \"CVSS\": {\n    \"nvd\": {\"V3Score\": 9.8},\n    \"ghsa\": {\"V3Score\": 9.5}\n  }\n}\n```\n**Result:** CVSS = 9.8 (NVD preferred) ✓\n","# CVSS Scoring Strategy and Extraction\n\n## Purpose\nImplement robust CVSS score extraction with fallback strategies, multi-source validation, and proper handling of missing scores.\n\n## CVSS Score Sources in Priority Order\n\n### 1. Trivy JSON CVSS Data\nFirst check Trivy's embedded CVSS information:\n\n```json\n\"CVSS\": {\n  \"nvd\": {\n    \"V3Score\": 7.5,\n    \"V3Vector\": \"CVSS:3.1\u002FAV:N\u002FAC:L\u002FAT:N\u002FPR:N\u002FUI:N\u002FS:U\u002FC:N\u002FI:H\u002FA:N\"\n  },\n  \"ghsa\": {\n    \"V3Score\": 7.5\n  }\n}\n```\n\n**Extraction Logic:**\n```python\ndef get_cvss_from_trivy(vuln_data):\n    \"\"\"Extract CVSS from Trivy CVSS field\"\"\"\n    cvss = vuln_data.get(\"CVSS\", {})\n\n    # Priority: NVD v3 > GHSA v3 > Other sources\n    if \"nvd\" in cvss and \"V3Score\" in cvss[\"nvd\"]:\n        return cvss[\"nvd\"][\"V3Score\"]\n\n    if \"ghsa\" in cvss and \"V3Score\" in cvss[\"ghsa\"]:\n        return cvss[\"ghsa\"][\"V3Score\"]\n\n    for source in [\"redhat\", \"ubuntu\", \"oracle\"]:\n        if source in cvss and \"V3Score\" in cvss[source]:\n            return cvss[source][\"V3Score\"]\n\n    return None\n```\n\n### 2. NVD (NIST) Database Lookup\nWhen Trivy doesn't have CVSS, construct NVD URL and note for manual lookup:\n\n**NVD URL Format:**\n```\nhttps:\u002F\u002Fnvd.nist.gov\u002Fvuln\u002Fdetail\u002F{CVE-ID}\n```\n\n**When to Use:**\n- Trivy has no CVSS data\n- Need v3.1 (most current) CVSS scores\n- Severity from GHSA but need NVD CVSS validation\n\n**Extraction Pattern:**\n- Look for \"Base Score\" on NVD page\n- CVSS v3.1 preferred over v3.0\n- Accept CVSS v2.0 as last resort\n\n### 3. GHSA (GitHub Security Advisory) Lookup\nFor npm packages, GHSA often has detailed scoring:\n\n**GHSA URL Format (if available):**\n```\nhttps:\u002F\u002Fgithub.com\u002Fadvisories\u002F{GHSA-ID}\n```\n\n**When to Use:**\n- Trivy lists VendorIDs with GHSA-* prefix\n- Need GitHub-specific assessments\n- npm-specific vulnerability context\n\n**Mapping:**\n```python\n# From Trivy's VendorSeverity codes\nvendor_severity_map = {\n    0: \"LOW\",\n    1: \"MODERATE\",\n    2: \"MEDIUM\",\n    3: \"HIGH\",\n    4: \"CRITICAL\"\n}\n```\n\n### 4. RedHat Advisory Database\nFor packages affecting Red Hat distributions:\n\n**RedHat URL Format:**\n```\nhttps:\u002F\u002Faccess.redhat.com\u002Fsecurity\u002Fcve\u002F{CVE-ID}\n```\n\n**When to Use:**\n- RedHat vulnerability data available\n- Enterprise Linux security context needed\n- Legacy vulnerability tracking\n\n## Multi-Source Validation\n\n### Consistency Checking\n```python\ndef validate_cvss_consistency(cvss_score, severity_level):\n    \"\"\"Check CVSS score matches reported severity\"\"\"\n    try:\n        score = float(cvss_score)\n    except (ValueError, TypeError):\n        return True  # Can't validate if not numeric\n\n    # CVSS thresholds per NIST\n    if severity_level == \"CRITICAL\" and score \u003C 9.0:\n        return False  # CRITICAL should be 9.0+\n    if severity_level == \"HIGH\" and score \u003C 7.0:\n        return False  # HIGH should be 7.0-8.9\n\n    return True\n```\n\n### Fallback Strategy\n\nWhen CVSS score is completely unavailable:\n\n```python\ndef get_cvss_with_fallback(vuln_data, cve_id):\n    \"\"\"\n    Get CVSS score with multi-level fallback\n    Returns: (score, source, confidence)\n    \"\"\"\n\n    # Level 1: Trivy embedded CVSS\n    trivy_score = get_cvss_from_trivy(vuln_data)\n    if trivy_score:\n        return (trivy_score, \"trivy_embedded\", \"high\")\n\n    # Level 2: CVSS in references (parsed from URLs)\n    refs_score = extract_from_references(vuln_data.get(\"References\", []))\n    if refs_score:\n        return (refs_score, \"references\", \"medium\")\n\n    # Level 3: Infer from severity and vendor codes\n    inferred = infer_from_vendor_severity(vuln_data.get(\"VendorSeverity\", {}))\n    if inferred:\n        return (inferred, \"inferred\", \"low\")\n\n    # Level 4: Use severity level as signal\n    severity = vuln_data.get(\"Severity\", \"\")\n    if severity == \"CRITICAL\":\n        return (\"9.0\", \"severity_mapping\", \"minimal\")\n    elif severity == \"HIGH\":\n        return (\"7.5\", \"severity_mapping\", \"minimal\")\n\n    # No score available\n    return (\"N\u002FA\", \"not_available\", \"none\")\n```\n\n## Handling Special Cases\n\n### Missing CVSS with Available Severity\n- CVSS is informational enhancement, not required\n- Severity level (HIGH\u002FCRITICAL) is the hard requirement\n- Report \"N\u002FA\" for CVSS when unavailable\n- Do NOT fabricate CVSS scores\n\n### Discrepancies Between Severity and CVSS\n- Document the discrepancy\n- Use the more conservative assessment\n- Example: If CVSS says 6.5 but severity is HIGH, use \"N\u002FA\" and note discrepancy\n\n### Version-Specific CVSS\nSome CVEs have version-specific scoring:\n- Report the relevant version's score\n- If package version is 7.3.7 and CVSS is for 7.3.x, use it\n- Otherwise use the general CVSS v3 score\n\n## CVSS Score Format Standardization\n\n```python\ndef standardize_cvss_score(score):\n    \"\"\"Format CVSS score for CSV output\"\"\"\n    if score is None or score == \"\" or score == \"N\u002FA\":\n        return \"N\u002FA\"\n\n    try:\n        # Convert to float and back to string for consistent formatting\n        f_score = float(score)\n        if 0 \u003C= f_score \u003C= 10:\n            return str(round(f_score, 1))  # One decimal place\n        else:\n            return \"N\u002FA\"  # Invalid CVSS range\n    except (ValueError, TypeError):\n        return \"N\u002FA\"\n```\n\n## Audit Trail for Score Extraction\n\nTrack scoring source for audit purposes:\n```python\n{\n    \"package\": \"semver\",\n    \"cve_id\": \"CVE-2022-25883\",\n    \"cvss_score\": \"7.5\",\n    \"cvss_source\": \"trivy_embedded\",\n    \"severity_source\": \"ghsa\",\n    \"confidence\": \"high\"\n}\n```\n\nThis enables verification and understanding of score derivation.\n\n## Examples\n\n### Example 1: Complete CVSS Available\n```json\n{\n  \"VulnerabilityID\": \"CVE-2022-25883\",\n  \"Severity\": \"HIGH\",\n  \"CVSS\": {\n    \"nvd\": {\"V3Score\": 7.5},\n    \"ghsa\": {\"V3Score\": 7.5}\n  }\n}\n```\n**Result:** CVSS = 7.5 ✓\n\n### Example 2: No CVSS, Severity Available\n```json\n{\n  \"VulnerabilityID\": \"CVE-2024-29415\",\n  \"Severity\": \"HIGH\",\n  \"CVSS\": {}\n}\n```\n**Result:** CVSS = \"N\u002FA\" ✓ (Severity is sufficient)\n\n### Example 3: Multiple CVSS Sources\n```json\n{\n  \"VulnerabilityID\": \"CVE-2023-XXXXX\",\n  \"Severity\": \"CRITICAL\",\n  \"CVSS\": {\n    \"nvd\": {\"V3Score\": 9.8},\n    \"ghsa\": {\"V3Score\": 9.5}\n  }\n}\n```\n**Result:** CVSS = 9.8 (NVD preferred) ✓\n",{"name":5,"description":7},"main","726e1f79b96b0cb3d729d0e55a1c847e0b5353ae","skills\u002Fb2-self-feedback-claude-haiku-4-5\u002Fdependency-vulnerability-check\u002Frun2_cvss-scoring-strategy",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":47,"prompt":57,"zipAvailable":58},[48,51,54],{"tool":49,"command":50},"npx","npx skills add cxcscmu\u002FSkillLearnBench --skill run2_cvss-scoring-strategy",{"tool":52,"command":53},"bunx","bunx skills add cxcscmu\u002FSkillLearnBench --skill run2_cvss-scoring-strategy",{"tool":55,"command":56},"pnpm","pnpm dlx skills add cxcscmu\u002FSkillLearnBench --skill run2_cvss-scoring-strategy","安装技能，技能地址：https:\u002F\u002Fgithub.com\u002Fcxcscmu\u002FSkillLearnBench\u002Fblob\u002Fmain\u002Fskills\u002Fb2-self-feedback-claude-haiku-4-5\u002Fdependency-vulnerability-check\u002Frun2_cvss-scoring-strategy\u002FSKILL.md",true,[],[61,79,104,122,142,154],{"skillNo":62,"name":63,"nameZh":6,"description":64,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":6,"repositoryNo":12,"starsCount":13,"licenseSpdxId":14,"licenseFileUrl":6,"sourceHtmlUrl":65,"categories":66,"keywords":72,"publishedAt":33},"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",[67],{"categoryNo":68,"categoryName":69,"taxonomyType":70,"taxonomyTypeDesc":71},"01JBSEEDCAT000000000000016","图像与多媒体","SCENARIO","使用场景",[73,74,75,76,77,78],"object counter","object","vision","computer","Computer Vision","image",{"skillNo":80,"name":81,"nameZh":6,"description":82,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":6,"repositoryNo":12,"starsCount":13,"licenseSpdxId":14,"licenseFileUrl":6,"sourceHtmlUrl":83,"categories":84,"keywords":88,"publishedAt":33},"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",[85],{"categoryNo":86,"categoryName":87,"taxonomyType":70,"taxonomyTypeDesc":71},"01JBSEEDCAT000000000000023","Skill与智能体开发",[89,90,91,92,93,94,95,96,97,98,99,100,101,102,103],"workflow","planning","planning workflow","travel","travel planning","travel planning workflow","structured","performing","plan","for","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":33},"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",[],[111,112,113,114,115,116,117,92,118,119,93,120,98,121,90],"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":33},"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",[],[129,130,131,98,132,133,134,135,136,137,138,139,120,140,141],"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":33},"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":86,"categoryName":87,"taxonomyType":70,"taxonomyTypeDesc":71},[150,141,131,130,136,135,132,151,152,98,153],"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":33},"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",[],[161,131,135,162,150,141,98,130,163,164,165,166,167,168,132],"glm basics","inspect","relevant","files","good","use","how","Evaluation"]