Medical Record Translator
v1.0.0Use when users need structure-preserving translation of medical records, lab reports, discharge summaries, prescriptions, pathology/radiology reports, or sim...
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MIT-0
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LicenseMIT-0 · Free to use, modify, and redistribute. No attribution required.
Security Scan
OpenClaw
Benign
high confidencePurpose & Capability
Name/description (structure-preserving medical translation) match the included assets: detailed SKILL.md rules, block-model/output-contract references, example input, and two Python scripts for rendering/checking PDF output. There are no unrelated environment variables, binaries, or external service credentials requested.
Instruction Scope
Runtime instructions are narrowly scoped to detecting block structure, performing translation (via an external AI model), and emitting a constrained Markdown/PDF artifact. The guidance explicitly warns that content will be sent to AI services; the SKILL.md asks for a "vision-capable model" for scanned PDFs but does not include OCR code—this is expected for an instruction-only translation skill but means the agent will use whatever model/toolchain it's configured with to perform OCR/translation.
Install Mechanism
No install spec is declared (instruction-only) and the included scripts only depend on standard Python packages listed in requirements-render.txt (WeasyPrint, pypdf, Markdown, pydyf). No remote downloads, URL-shorteners, or extract/install steps are present.
Credentials
The skill requires no environment variables, credentials, or config paths. All requested data are document inputs. The privacy notice correctly states that translations will be sent to AI services — this is the main privacy/credential implication rather than any hidden env-var access.
Persistence & Privilege
always:false and no code attempts to modify other skills or system-wide agent settings. The skill can be invoked autonomously (platform default), which is expected; there is no extra privilege or persistent installation requested.
Assessment
This skill appears internally consistent, but it processes sensitive medical records: do not upload real patient-identifiable documents unless you trust the model provider and compliance controls. Options to reduce risk: run translation with a locally-hosted/enterprise model, anonymize/de-identify documents before upload, review and pin the Python package versions in requirements-render.txt before installing, and inspect any agent model configuration (e.g., which cloud provider or API keys the agent will use) to ensure PHI is routed only to approved endpoints. If you need offline processing, implement OCR/translation locally rather than using remote multimodal models.Like a lobster shell, security has layers — review code before you run it.
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License
MIT-0
Free to use, modify, and redistribute. No attribution required.