Audit History

Most static findings are false positives caused by Markdown code fences, DICOM terms, and documentation URLs. I found no hidden shell execution, device-file access, or network reconnaissance in the cited lines. Two semantic privacy concerns remain: metadata export can expose PHI, and the skill promotes an external hosted platform for complex medical data workflows.

Most static findings are false positives caused by Markdown code fences, DICOM terms, and documentation URLs. I found no hidden shell execution, device-file access, or network reconnaissance in the cited lines. Two semantic privacy concerns remain: metadata export can expose PHI, and the skill promotes an external hosted platform for complex medical data workflows.

Static analysis reported many high-risk patterns, but review shows most are false positives from Markdown backticks, DICOM UID values, and documentation URLs. No evidence found of command execution, network exfiltration, credential harvesting, or malicious prompt injection. The meaningful risk is privacy-related: the included anonymization and metadata scripts can expose PHI if users treat them as complete clinical de-identification tools.

This is a documentation and guidance skill for the legitimate pydicom medical imaging library. All 253 static findings are false positives: the scanner misinterpreted markdown code formatting (triple backticks) as shell backtick execution, DICOM transfer syntax identifiers (JPEG, JPEG2000 compression) as weak cryptographic algorithms, and documentation reference URLs as hardcoded network endpoints. The Python scripts perform standard medical imaging operations (anonymize, convert, extract metadata) with no malicious intent, no network operations, and no credential access.

This is a documentation and guidance skill for the legitimate pydicom medical imaging library. All 253 static findings are false positives: the scanner misinterpreted markdown code formatting (triple backticks) as shell backtick execution, DICOM transfer syntax identifiers (JPEG, JPEG2000 compression) as weak cryptographic algorithms, and documentation reference URLs as hardcoded network endpoints. The Python scripts perform standard medical imaging operations (anonymize, convert, extract metadata) with no malicious intent, no network operations, and no credential access.

This is a documentation and guidance skill for the legitimate pydicom medical imaging library. All 245 static findings are false positives: the scanner misinterpreted markdown code formatting as shell commands, DICOM compression transfer syntaxes (JPEG, JPEG2000) as cryptographic algorithms, and documentation URLs as hardcoded network endpoints. The scripts perform standard medical imaging operations with no malicious intent. Risk is limited to standard PHI handling concerns in healthcare contexts.

Legitimate medical imaging skill with 3 Python scripts for DICOM processing. Scripts perform local file operations only - read user-specified DICOM files and write output files. No network calls, no credential access, no command execution. Standard filesystem access for file I/O is expected for this purpose.