hl7-pam-parser
Pass
Audited by Gen Agent Trust Hub on Mar 20, 2026
Risk Level: SAFEEXTERNAL_DOWNLOADSPROMPT_INJECTIONNO_CODE
Full Analysis
- [SAFE]: No malicious patterns or behaviors were identified in the skill content. All files focus on providing a framework for understanding healthcare data standards.
- [EXTERNAL_DOWNLOADS]: The
reference/README.mdfile contains links to official HL7 and IHE documentation and established open-source libraries. These are documented neutrally as they are well-known resources in the healthcare interoperability domain. - [PROMPT_INJECTION]: Analysis of
SKILL.mdindicates the instructions are strictly for parsing and validating HL7 messages. There are no patterns suggesting attempts to bypass agent constraints or safety filters. - [NO_CODE]: This is a no-code skill; it contains only markdown instructions and JSON fixtures for validation testing. No executable scripts, binaries, or active code components were detected.
- [PROMPT_INJECTION]: The skill defines a surface for processing untrusted HL7 input data. Ingestion point: raw HL7 text in
SKILL.mdand fixtures. Boundary markers: present as HL7 delimiters (|, ^, ~, , &). Capability inventory: LLM response generation based on internal parsing rules. Sanitization: structural validation via defined HL7 segment and field formatting rules.
Audit Metadata