Skip to content
@GOATnote-Inc

GOATnote

Clinical-AI safety evaluation and fail-closed supervision for medical LLMs. All public repos authored by @bGOATnote (emergency physician who codes).

GOATnote

Clinical-AI safety engineering by a board-certified emergency physician who codes. The through-line across these repositories: language models that touch medicine must fail closed, claims must trace to committed artifacts, and evaluation must survive adversarial scrutiny.

Who builds this

Every public repository in this organization is authored and maintained by @bGOATnote (Brandon Dent, MD, emergency physician). GOATnote-Inc is the organization account that holds the code; bGOATnote is the person who writes it. The only other committer you will see is dependabot[bot], which opens automated security updates.

Start here

Repository What it is
scribegoat2 Medical LLM safety evaluation pipeline with reproducible benchmarks and high-risk failure analysis
lostbench Multi-turn safety persistence benchmark: does the model hold the line under sustained patient pressure?
healthcraft Emergency-medicine RL environment (Corecraft architecture) with an MCP tool surface
openem-corpus 370-condition emergency medicine knowledge base; agent-compiled, partially physician-reviewed, grep-friendly
abridge Fail-closed supervising layer for clinical agents (triage, communication, coverage surfaces)
radslice Multimodal radiology benchmark across CT, MRI, X-ray, and ultrasound

Everything here is research software. Nothing is a medical device; nothing is for clinical use.

Contact: b@thegoatnote.com

Popular repositories Loading

  1. scribegoat2 scribegoat2 Public

    Open-source medical LLM safety evaluation pipeline with reproducible benchmarks and high-risk clinical failure analysis.

    Python 4 1

  2. robogoat robogoat Public archive

    GPU data-loading/preprocessing kernels for robot learning research. Archived 2026-08; last GPU validation 2025-11-08 (H100 PCIe). Measured speedups documented in-repo.

    Python

  3. lostbench lostbench Public

    Standalone benchmark for multi-turn safety persistence in medical LLM conversations. Measures recommendation monotonicity under sustained patient pressure.

    Python

  4. openem-corpus openem-corpus Public

    The AI-native emergency medicine knowledge base: 370 conditions, agent-compiled, machine-validated, 80 of 220 high-acuity conditions physician-reviewed, grep-friendly.

    Python 1

  5. safeshift safeshift Public

    Does making the model faster make it less safe? Safety degradation benchmarking under inference optimization.

    Python

  6. radslice radslice Public

    Multimodal radiology LLM benchmark across CT, MRI, X-ray, and Ultrasound

    Python

Repositories

Showing 10 of 20 repositories

Top languages

Loading…

Most used topics

Loading…