[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"skill:01M6PP29TM0G3HXT3HMV59EBWR":3,"skill-same:01M6PP29TM0G3HXT3HMV59EBWR":114},{"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":18,"publishedAt":33,"linkOnly":34,"markdownContent":35,"markdownBody":36,"frontMatter":37,"refName":43,"commitSha":44,"skillDirectory":45,"forksCount":14,"repositoryHtmlUrl":46,"repositoryHomepageUrl":6,"ownerHtmlUrl":47,"ownerBlogUrl":48,"ownerDescription":6,"updatedAt":49,"install":50,"resources":63},"01M6PP29TM0G3HXT3HMV59EBWR","dicom-metadata-extract",null,"Used for extracting selected metadata from one DICOM file and flagging standard-tag PHI presence. Not for anonymization or clinical use.","headmktlucca-ui\u002Fneuroads-lp","headmktlucca-ui","https:\u002F\u002Favatars.githubusercontent.com\u002Fu\u002F247379838?v=4","01M6PDVAV6M1W96D1SR1PDF8CS","NeuroAds","01M6PDVAZ4P281GNDKD45CYTF5",0,"Apache-2.0","https:\u002F\u002Fgithub.com\u002Fheadmktlucca-ui\u002Fneuroads-lp\u002Fblob\u002Fmain\u002F.claude\u002Fskills\u002Fdicom-metadata-extract\u002FSKILL.md",[],[19,20,21,22,23,24,25,26,27,28,29,30,31,32],"metadata","extract","dicom metadata extract","file","NVIDIA","phi","team","Bash","use","clinical","extracting","presence","for","standard","2026-11-10 10:12:30",false,"---\nname: dicom-metadata-extract\ndescription: Used for extracting selected metadata from one DICOM file and flagging standard-tag PHI presence. Not for anonymization or clinical use.\nlicense: Apache-2.0\nallowed-tools: Bash\nmetadata:\n  author: NVIDIA MedTech Team\n  tags:\n    - MedTech\n    - DICOM\n    - metadata\n---\n\n# DICOM Metadata Extract\n\n## Purpose\n- Used for extracting selected metadata from one DICOM file and flagging standard-tag PHI presence. Not for anonymization or clinical use.\n- Use the wrapper exactly as documented; do not replace the upstream entrypoint with a handwritten implementation.\n- Manifest I\u002FO: inputs are `dicom_path`; outputs are `metadata_json`.\n\n## Instructions\n- Read `skill_manifest.yaml` before changing arguments, side effects, or validation gates.\n- Run `scripts\u002Fextract_metadata.py` through the documented command below; keep outputs under a caller-provided run directory.\n- If a host agent exposes `run_script`, use `run_script(\"scripts\u002Fextract_metadata.py\", args=[...])`; otherwise run the Bash\u002FPython command shown below.\n- Check the emitted JSON and run `medagent.verifiers.dicom_metadata_quality_v1` on evidence packs before treating the run as reviewed evidence.\n\n## Available Scripts\n| Script | Purpose | Arguments |\n|---|---|---|\n| `scripts\u002Fextract_metadata.py` | Primary entrypoint declared by skill_manifest.yaml. | `PATH_TO_DICOM [--output OUT.json]` |\n\n## Prerequisites\n- Runtime requirements: Python packages listed in `runtime.side_effects.pip_packages`.\n- Run commands from the repository root unless an existing section below says otherwise.\n\n## Limitations\n- Small PS3.15-inspired standard-tag subset only; not a complete Basic Application Confidentiality Profile implementation.\n- Private tags not checked\n- Burnt-in pixel PHI not detected\n- Multi-frame handling minimal\n- Not for clinical deployment, regulatory de-identification, autonomous diagnosis, patient-facing use.\n\n## Troubleshooting\n| Error | Cause | Fix |\n|---|---|---|\n| Missing dependency or import error | Runtime package drift from `skill_manifest.yaml`. | Install the packages declared in the manifest or use the documented setup command. |\n| Empty or schema-invalid output | Wrong input path, unsupported modality, or upstream failure. | Re-run with a known fixture and inspect the wrapper JSON plus stderr. |\n| Validation gate failure | Output violated a declared engineering invariant. | Keep the failed evidence pack and use the gate message to repair inputs or wrapper code. |\n\nReads one DICOM file with pydicom and emits JSON on stdout.\n\n```bash\npython scripts\u002Fextract_metadata.py PATH_TO_DICOM\npython scripts\u002Fextract_metadata.py PATH_TO_DICOM --output result.json\n```\n\nOutput includes `transfer_syntax`, `modality`, grouped study\u002Fseries\u002Fimage\nmetadata, `phi_present`, and `phi_tags_found`.\n\nUse this as the smallest end-to-end example of a Medical AI Skills skill. Do not use\nit for anonymization, private-tag review, pixel PHI detection, or clinical\ninterpretation.\n\nFor second-pass evidence review, generate a trusted run:\n\n```bash\npython -m eval_engine.run_trusted skills\u002Fdicom-metadata-extract \\\n  --fixture skills\u002Fdicom-metadata-extract\u002Ffixtures\u002Fsample_ct.dcm \\\n  --out runs\u002Fdicom_metadata_trusted\n```\n","# DICOM Metadata Extract\n\n## Purpose\n- Used for extracting selected metadata from one DICOM file and flagging standard-tag PHI presence. Not for anonymization or clinical use.\n- Use the wrapper exactly as documented; do not replace the upstream entrypoint with a handwritten implementation.\n- Manifest I\u002FO: inputs are `dicom_path`; outputs are `metadata_json`.\n\n## Instructions\n- Read `skill_manifest.yaml` before changing arguments, side effects, or validation gates.\n- Run `scripts\u002Fextract_metadata.py` through the documented command below; keep outputs under a caller-provided run directory.\n- If a host agent exposes `run_script`, use `run_script(\"scripts\u002Fextract_metadata.py\", args=[...])`; otherwise run the Bash\u002FPython command shown below.\n- Check the emitted JSON and run `medagent.verifiers.dicom_metadata_quality_v1` on evidence packs before treating the run as reviewed evidence.\n\n## Available Scripts\n| Script | Purpose | Arguments |\n|---|---|---|\n| `scripts\u002Fextract_metadata.py` | Primary entrypoint declared by skill_manifest.yaml. | `PATH_TO_DICOM [--output OUT.json]` |\n\n## Prerequisites\n- Runtime requirements: Python packages listed in `runtime.side_effects.pip_packages`.\n- Run commands from the repository root unless an existing section below says otherwise.\n\n## Limitations\n- Small PS3.15-inspired standard-tag subset only; not a complete Basic Application Confidentiality Profile implementation.\n- Private tags not checked\n- Burnt-in pixel PHI not detected\n- Multi-frame handling minimal\n- Not for clinical deployment, regulatory de-identification, autonomous diagnosis, patient-facing use.\n\n## Troubleshooting\n| Error | Cause | Fix |\n|---|---|---|\n| Missing dependency or import error | Runtime package drift from `skill_manifest.yaml`. | Install the packages declared in the manifest or use the documented setup command. |\n| Empty or schema-invalid output | Wrong input path, unsupported modality, or upstream failure. | Re-run with a known fixture and inspect the wrapper JSON plus stderr. |\n| Validation gate failure | Output violated a declared engineering invariant. | Keep the failed evidence pack and use the gate message to repair inputs or wrapper code. |\n\nReads one DICOM file with pydicom and emits JSON on stdout.\n\n```bash\npython scripts\u002Fextract_metadata.py PATH_TO_DICOM\npython scripts\u002Fextract_metadata.py PATH_TO_DICOM --output result.json\n```\n\nOutput includes `transfer_syntax`, `modality`, grouped study\u002Fseries\u002Fimage\nmetadata, `phi_present`, and `phi_tags_found`.\n\nUse this as the smallest end-to-end example of a Medical AI Skills skill. Do not use\nit for anonymization, private-tag review, pixel PHI detection, or clinical\ninterpretation.\n\nFor second-pass evidence review, generate a trusted run:\n\n```bash\npython -m eval_engine.run_trusted skills\u002Fdicom-metadata-extract \\\n  --fixture skills\u002Fdicom-metadata-extract\u002Ffixtures\u002Fsample_ct.dcm \\\n  --out runs\u002Fdicom_metadata_trusted\n```\n",{"name":5,"license":15,"metadata":38,"description":7,"allowed-tools":26},{"tags":39,"author":42},[40,41,19],"MedTech","DICOM","NVIDIA MedTech Team","main","7a940b8e5af16c95e5c190a524421d32fc7445a9",".claude\u002Fskills\u002Fdicom-metadata-extract","https:\u002F\u002Fgithub.com\u002Fheadmktlucca-ui\u002Fneuroads-lp","https:\u002F\u002Fgithub.com\u002Fheadmktlucca-ui","https:\u002F\u002Fneuroads.com.br","2026-08-12 00:42:44",{"source":8,"skillName":5,"commands":51,"prompt":61,"zipAvailable":62},[52,55,58],{"tool":53,"command":54},"npx","npx skills add headmktlucca-ui\u002Fneuroads-lp --skill dicom-metadata-extract",{"tool":56,"command":57},"bunx","bunx skills add headmktlucca-ui\u002Fneuroads-lp --skill dicom-metadata-extract",{"tool":59,"command":60},"pnpm","pnpm dlx skills add headmktlucca-ui\u002Fneuroads-lp --skill dicom-metadata-extract","安装技能，技能地址：https:\u002F\u002Fgithub.com\u002Fheadmktlucca-ui\u002Fneuroads-lp\u002Fblob\u002Fmain\u002F.claude\u002Fskills\u002Fdicom-metadata-extract\u002FSKILL.md",true,[64,70,74,78,82,88,92,96,100,106,110],{"path":65,"resourceType":66,"resourceTypeDesc":67,"sizeBytes":68,"sourceHtmlUrl":69},"AGENTS.md","REFERENCE","参考文档",508,"https:\u002F\u002Fgithub.com\u002Fheadmktlucca-ui\u002Fneuroads-lp\u002Fblob\u002Fmain\u002F.claude\u002Fskills\u002Fdicom-metadata-extract\u002FAGENTS.md",{"path":71,"resourceType":66,"resourceTypeDesc":67,"sizeBytes":72,"sourceHtmlUrl":73},"BENCHMARK.md",4194,"https:\u002F\u002Fgithub.com\u002Fheadmktlucca-ui\u002Fneuroads-lp\u002Fblob\u002Fmain\u002F.claude\u002Fskills\u002Fdicom-metadata-extract\u002FBENCHMARK.md",{"path":75,"resourceType":66,"resourceTypeDesc":67,"sizeBytes":76,"sourceHtmlUrl":77},"evals\u002Fbaseline.yaml",2251,"https:\u002F\u002Fgithub.com\u002Fheadmktlucca-ui\u002Fneuroads-lp\u002Fblob\u002Fmain\u002F.claude\u002Fskills\u002Fdicom-metadata-extract\u002Fevals\u002Fbaseline.yaml",{"path":79,"resourceType":66,"resourceTypeDesc":67,"sizeBytes":80,"sourceHtmlUrl":81},"evals\u002Fevals.json",1862,"https:\u002F\u002Fgithub.com\u002Fheadmktlucca-ui\u002Fneuroads-lp\u002Fblob\u002Fmain\u002F.claude\u002Fskills\u002Fdicom-metadata-extract\u002Fevals\u002Fevals.json",{"path":83,"resourceType":84,"resourceTypeDesc":85,"sizeBytes":86,"sourceHtmlUrl":87},"fixtures\u002Fgenerate_sample.py","SCRIPT","脚本",3021,"https:\u002F\u002Fgithub.com\u002Fheadmktlucca-ui\u002Fneuroads-lp\u002Fblob\u002Fmain\u002F.claude\u002Fskills\u002Fdicom-metadata-extract\u002Ffixtures\u002Fgenerate_sample.py",{"path":89,"resourceType":84,"resourceTypeDesc":85,"sizeBytes":90,"sourceHtmlUrl":91},"scripts\u002Fextract_metadata.py",5404,"https:\u002F\u002Fgithub.com\u002Fheadmktlucca-ui\u002Fneuroads-lp\u002Fblob\u002Fmain\u002F.claude\u002Fskills\u002Fdicom-metadata-extract\u002Fscripts\u002Fextract_metadata.py",{"path":93,"resourceType":66,"resourceTypeDesc":67,"sizeBytes":94,"sourceHtmlUrl":95},"skill_manifest.yaml",4999,"https:\u002F\u002Fgithub.com\u002Fheadmktlucca-ui\u002Fneuroads-lp\u002Fblob\u002Fmain\u002F.claude\u002Fskills\u002Fdicom-metadata-extract\u002Fskill_manifest.yaml",{"path":97,"resourceType":66,"resourceTypeDesc":67,"sizeBytes":98,"sourceHtmlUrl":99},"skill-card.md",3593,"https:\u002F\u002Fgithub.com\u002Fheadmktlucca-ui\u002Fneuroads-lp\u002Fblob\u002Fmain\u002F.claude\u002Fskills\u002Fdicom-metadata-extract\u002Fskill-card.md",{"path":101,"resourceType":102,"resourceTypeDesc":103,"sizeBytes":104,"sourceHtmlUrl":105},"skill.oms.sig","OTHER","其他",6221,"https:\u002F\u002Fgithub.com\u002Fheadmktlucca-ui\u002Fneuroads-lp\u002Fblob\u002Fmain\u002F.claude\u002Fskills\u002Fdicom-metadata-extract\u002Fskill.oms.sig",{"path":107,"resourceType":84,"resourceTypeDesc":85,"sizeBytes":108,"sourceHtmlUrl":109},"tests\u002Ftest_basic.py",2529,"https:\u002F\u002Fgithub.com\u002Fheadmktlucca-ui\u002Fneuroads-lp\u002Fblob\u002Fmain\u002F.claude\u002Fskills\u002Fdicom-metadata-extract\u002Ftests\u002Ftest_basic.py",{"path":111,"resourceType":66,"resourceTypeDesc":67,"sizeBytes":112,"sourceHtmlUrl":113},"validators\u002Foutput_schema.json",2393,"https:\u002F\u002Fgithub.com\u002Fheadmktlucca-ui\u002Fneuroads-lp\u002Fblob\u002Fmain\u002F.claude\u002Fskills\u002Fdicom-metadata-extract\u002Fvalidators\u002Foutput_schema.json",[115,141,165,191,209,244],{"skillNo":116,"name":117,"nameZh":6,"description":118,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":119,"licenseFileUrl":6,"sourceHtmlUrl":120,"categories":121,"keywords":130,"publishedAt":33},"01M6PTDCZTXTGSTX4RFK901YSZ","xunit-skill","Generates xUnit.net tests in C#. Covers Fact\u002FTheory, constructor injection, IClassFixture, and FluentAssertions. Use when user mentions \"xUnit\", \"[Fact]\", \"[Theory]\", \"Assert.Equal\", \"C# xUnit\". Triggers on: \"xUnit\", \"[Fact]\", \"[Theory]\", \"Assert.Equal C#\", \"xUnit.net\".","MIT","https:\u002F\u002Fgithub.com\u002Fheadmktlucca-ui\u002Fneuroads-lp\u002Fblob\u002Fmain\u002F.claude\u002Fskills\u002Fxunit-skill\u002FSKILL.md",[122,127],{"categoryNo":123,"categoryName":124,"taxonomyType":125,"taxonomyTypeDesc":126},"01JBSEEDCAT000000000000008","测试与质量","SCENARIO","使用场景",{"categoryNo":128,"categoryName":129,"taxonomyType":125,"taxonomyTypeDesc":126},"01JBSEEDCAT000000000000023","Skill与智能体开发",[131,132,133,134,135,27,136,137,138,139,140],"xunit","xunit skill","testing","injection","user","tests","triggers","unit","unit-testing","C#",{"skillNo":142,"name":143,"nameZh":6,"description":144,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":119,"licenseFileUrl":6,"sourceHtmlUrl":145,"categories":146,"keywords":149,"publishedAt":33},"01M6PTCB59ZTG5FTMWGPYEMMBP","xcuitest-skill","Generates XCUITest UI tests for iOS\u002FiPadOS apps in Swift. Apple's native testing framework for reliable, fast UI automation. Supports local simulators and TestMu AI cloud real devices. Use when user mentions \"XCUITest\", \"XCTest\", \"iOS UI test\", \"Swift test\", \"XCUIApplication\". Triggers on: \"XCUITest\", \"XCTest UI\", \"iOS UI test\", \"Swift UI test\", \"XCUIApplication\", \"TestMu\".","https:\u002F\u002Fgithub.com\u002Fheadmktlucca-ui\u002Fneuroads-lp\u002Fblob\u002Fmain\u002F.claude\u002Fskills\u002Fxcuitest-skill\u002FSKILL.md",[147,148],{"categoryNo":123,"categoryName":124,"taxonomyType":125,"taxonomyTypeDesc":126},{"categoryNo":128,"categoryName":129,"taxonomyType":125,"taxonomyTypeDesc":126},[150,151,133,152,153,154,155,156,27,157,158,159,160,161,136,137,162,163,31,164],"xcuitest","xcuitest skill","automation","test","testing framework","ios","devices","mobile","mobile-testing","ui test","local","apple","apps","native","objective",{"skillNo":166,"name":167,"nameZh":6,"description":168,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":119,"licenseFileUrl":6,"sourceHtmlUrl":169,"categories":170,"keywords":175,"publishedAt":33},"01M6PTATMNTY9NF4J7KSR76YK6","world-builder","Create and manage generative game zones for Dorothy's Pokemon-style world. Use this skill when creating, updating, or designing game worlds via MCP tools.","https:\u002F\u002Fgithub.com\u002Fheadmktlucca-ui\u002Fneuroads-lp\u002Fblob\u002Fmain\u002F.claude\u002Fskills\u002Fworld-builder\u002FSKILL.md",[171,174],{"categoryNo":172,"categoryName":173,"taxonomyType":125,"taxonomyTypeDesc":126},"01JBSEEDCAT000000000000015","视觉设计",{"categoryNo":128,"categoryName":129,"taxonomyType":125,"taxonomyTypeDesc":126},[176,177,178,179,180,181,182,183,27,184,185,186,187,188,189,31,190],"builder","world","world builder","MCP","create","mcp tools","Tools","game","pokemon","manage","style","via","theme","zone","generative",{"skillNo":192,"name":193,"nameZh":6,"description":194,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":119,"licenseFileUrl":6,"sourceHtmlUrl":195,"categories":196,"keywords":199,"publishedAt":33},"01M6PT9Z92JTSQEHE1QR0NNW5F","webdriverio-skill","Generates WebdriverIO (WDIO) automation tests in JavaScript or TypeScript. Supports local and TestMu AI cloud. Use when user mentions \"WebdriverIO\", \"WDIO\", \"wdio.conf\", \"browser.url\", \"$\", \"$$\". Triggers on: \"WebdriverIO\", \"WDIO\", \"wdio\", \"browser.$\".","https:\u002F\u002Fgithub.com\u002Fheadmktlucca-ui\u002Fneuroads-lp\u002Fblob\u002Fmain\u002F.claude\u002Fskills\u002Fwebdriverio-skill\u002FSKILL.md",[197,198],{"categoryNo":123,"categoryName":124,"taxonomyType":125,"taxonomyTypeDesc":126},{"categoryNo":128,"categoryName":129,"taxonomyType":125,"taxonomyTypeDesc":126},[200,133,201,152,202,203,204,205,135,27,206,160,136,137,207,208],"webdriverio skill","typescript","javascript","browser","cloud","e2e","e2e-testing","URL","conf",{"skillNo":210,"name":211,"nameZh":6,"description":212,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":119,"licenseFileUrl":6,"sourceHtmlUrl":213,"categories":214,"keywords":224,"publishedAt":33},"01M6PT9NVK36ZWCQ69YXK3FR4K","web-design-guidelines","Web platform design and accessibility guidelines. Use when building web interfaces, auditing accessibility, implementing responsive layouts, or reviewing web UI code. Triggers on tasks involving HTML, CSS, web components, WCAG compliance, responsive design, or web performance.","https:\u002F\u002Fgithub.com\u002Fheadmktlucca-ui\u002Fneuroads-lp\u002Fblob\u002Fmain\u002F.claude\u002Fskills\u002Fweb\u002FSKILL.md",[215,218,219],{"categoryNo":216,"categoryName":217,"taxonomyType":125,"taxonomyTypeDesc":126},"01JBSEEDCAT000000000000009","前端开发",{"categoryNo":172,"categoryName":173,"taxonomyType":125,"taxonomyTypeDesc":126},{"categoryNo":220,"categoryName":221,"taxonomyType":222,"taxonomyTypeDesc":223},"01JBSEEDCAT000000000000032","设计师","PROFESSION","适用职业",[225,226,227,228,229,230,231,232,233,234,235,236,237,238,239,240,241,242,137,243],"design","web","guidelines","web design guidelines","web design","css","performance","components","web components","tasks","code","web performance","ui","platform design","html","responsive design","responsive","platform","implementing",{"skillNo":245,"name":246,"nameZh":6,"description":247,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":119,"licenseFileUrl":6,"sourceHtmlUrl":248,"categories":249,"keywords":252,"publishedAt":33},"01M6PT9A3JKRE3X34276F2FW5R","watchos-design-guidelines","Apple Human Interface Guidelines for Apple Watch. Use when building watchOS apps, complications, or workout features. Triggers on tasks involving Watch UI, Digital Crown, glanceable interfaces, or wrist-based interactions.","https:\u002F\u002Fgithub.com\u002Fheadmktlucca-ui\u002Fneuroads-lp\u002Fblob\u002Fmain\u002F.claude\u002Fskills\u002Fwatchos\u002FSKILL.md",[250,251],{"categoryNo":172,"categoryName":173,"taxonomyType":125,"taxonomyTypeDesc":126},{"categoryNo":220,"categoryName":221,"taxonomyType":222,"taxonomyTypeDesc":223},[225,227,253,234,237,27,254,255,161,242,256,137,162,257,31,258,259],"watchos design guidelines","workout","human","watch","interface","platform-design","features"]