.claude/skills/need-to-parse-complex-medical-dicom-fileRuntime, accounts, dependencies, permissions, network behavior and task quality remain untested.
解析复杂医学 DICOM 文件(.dcm):纯标准库、离线、确定性。读取 Implicit/Explicit VR LE 元数据与序列,导出未压缩像素为 PNM,一致性检查,PS3.15 基础配置子集去标识化, 生成确定性合成测试文件。压缩像素(JPEG/JPEG2000/RLE/MPEG)诚实检测并指向 pydicom+pylibjpeg,绝不猜测像素值。仅技术检查,不用于诊断。
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.claude/skills/need-to-parse-complex-medical-dicom-fileRuntime, accounts, dependencies, permissions, network behavior and task quality remain untested.
.agents/skills/need-to-parse-complex-medical-dicom-fileRuntime, accounts, dependencies, permissions, network behavior and task quality remain untested.
skills/need-to-parse-complex-medical-dicom-fileRuntime, accounts, dependencies, permissions, network behavior and task quality remain untested.
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clawhub install @orionshaowswmw/need-to-parse-complex-medical-dicom-fileclawhub inspect @orionshaowswmw/need-to-parse-complex-medical-dicom-file --version 2.0.0This automated, non-executing scan is bound to this release hash. It is not a safety certification and may contain false positives or false negatives.
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sha256:6e16b909510dff63830bbcfcd6738066078498b66d7462b0113cc2fb2ea04475CHANGELOG.mdREADME.mdreferences/dicom_basics.mdreferences/ps315_deid.mdreferences/transfer_syntaxes.mdscripts/dicom_tools.pyscripts/selftest.pyskill-card.mdSKILL.mdv2.0.0 – Major rewrite for robust, offline, standard library-only DICOM parsing and inspection. - Replaced previous English description with detailed Chinese documentation, use case guides, and hard technical/scientific rules. - Standalone Python CLI tools added (`scripts/dicom_tools.py`, `scripts/selftest.py`) for summary extraction, tag parsing, pixel export (raw only), integrity checking, basic de-identification, and deterministic synthetic DICOM generation. - Comprehensive reference docs introduced: DICOM basics, de-identification subset, transfer syntax explanation. - Strict, honest handling of compressed pixel data: refuse to decode, provide explicit external commands for further action, never guess. - Technical focus only – not for clinical diagnosis or legal compliance; de-identification covers a basic subset, always displaying limitations. - Automated self-testing script ensure…