mapping-loinc
Maps laboratory and clinical observation names extracted by OpenMed to LOINC codes using the public Regenstrief LOINC and FHIR terminology APIs. Use when the user wants to code lab tests, vital signs, or observations to LOINC, resolve a test name plus specimen and method to the correct LOINC part-model code, attach UCUM units, or build a US Core Laboratory Result Observation. Trigger keywords: LOINC, lab coding, observation code, UCUM units, specimen, method, US Core lab, FHIR Observation, lab result mapping, panel vs analyte. Pairs after OpenMed NER: consume Disease/Chemical/lab-name entities from openmed.analyze_text and map each measurement to a LOINC code. LOINC is free to use under the Regenstrief license (registration/terms-of-use, no fee); UMLS/SNOMED stay user-supplied and out-of-process.
74
91%
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High
Do not use without reviewing
Security
1 high severity finding. You should review these findings carefully before considering using this skill.
W007: Insecure credential handling detected in skill instructions.
What this means
The skill handles credentials insecurely by requiring the agent to include secret values verbatim in its generated output. This exposes credentials in the agent’s context and conversation history, creating a risk of data exfiltration.
Why it was flagged
The skill includes a code example that hard-codes HTTP Basic auth placeholders (AUTH = HTTPBasicAuth("YOUR_LOINC_USER","YOUR_LOINC_PASSWORD")) and shows passing them into requests, which encourages embedding credentials directly into generated code/requests and would require the LLM to handle or output secret values verbatim if real credentials are inserted.
Low
Low-risk findings.
1 low severity finding. Worth noting, but not necessarily harmful.
W011: Third-party content exposure detected (indirect prompt injection risk).
What this means
The skill exposes the agent to untrusted, user-generated content from public third-party sources, creating a risk of indirect prompt injection. This includes browsing arbitrary URLs, reading social media posts or forum comments, and analyzing content from unknown websites.
Why it was flagged
SKILL.md describes a runtime workflow where OpenMed extracts free-text observation/lab mentions from a user-provided note (“Extract observation/analyte mentions with OpenMed” and “openmed.analyze_text(...)”), and those extracted strings are then used in LOINC search/validation calls—this is direct outsider-authored free text entering the agent’s processing context.
- Repository
- maziyarpanahi/openmed
- Commit
80da98c
- Audited
- Security analysis
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