pyhealth SKILL.md skillA
pyhealth from k-dense-ai/scientific-agent-skills is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.
mdr add k-dense-ai/scientific-agent-skills/pyhealth@v1.3Pins v1.3 in mdr.lock. Pin the fingerprint instead.
- Audit grade
- A, 17 of 17 checks passed
- Kind
- SKILL.md skill
- Repository
- k-dense-ai/scientific-agent-skills
- Path
skills/pyhealth/SKILL.md- Versions recorded
- 5
- Latest version
- v1.3, committed Oct 1, 2026
- First version recorded
- Jun 11, 2026
- Size
- 8,227 bytes
- Repository stars
- 53,159
- License
- MIT
Builds and validates PyHealth clinical machine-learning pipelines for EHR, signals, imaging, and medical codes. Use for PyHealth dataset loading, MIMIC-III/IV, eICU or OMOP prediction tasks, patient-level evaluation, mortality/readmission/length-of-stay modeling, medication recommendation, sleep staging, Trainer checkpoints, and ICD/ATC/NDC/RxNorm mapping.
Collected from public GitHub. Every version is saved exactly as it was and never changes. Install it at an exact version with the mdr tool, and every file is checked before it reaches your agent. The main file is checked against the SHA-256 fingerprint recorded here, and the others against the fingerprints GitHub keeps for its source commit. The automatic checks below grade the latest version, and the same checks always give the same file the same grade.
What the file says
# PyHealth Targets **PyHealth 2.0.2**, verified against its released wheel, current official documentation, and CPU execution on Python 3.12/Torch 2.7.1. PyHealth's pipeline is `Dataset -> Task -> Model -> Trainer -> Metrics`; its 1.x and 2.x interfaces differ. Do not combine legacy `Visit` examples with the 2.x event/processor API. ## When to use Use for clinical prediction with PyHealth, including EHR sequences, physiological signals, imaging tasks, or medical-code lookup. Establish the cohort, prediction time, observation window, outcome horizon, and unit of evaluation before modeling. For general tabular learning without a PyHealth dataset/task, this skill is optional. ## Install and smoke-test ```bash uv run --no-project --isolated --python 3.12 --with pyhealth==2.0.2 python assets/starter_pipeline.py --demo --epochs 1 ``` Run that command from the skill directory, or use the absolute path to the asset. It trains on invented in-memory records and exercises patient splitting, metrics, and best-checkpoint restoration. It provides no evidence of clinical performance. See [installation](references/installation.md) for project setup and device options. ## Workflow …
Read the whole file at its exact version.
How to install
mdr add k-dense-ai/scientific-agent-skills/pyhealth@sha256:ec4de54618b71a4fThe line at the top of this page pins the label v1.3, which is what most people want. This one pins the sha256 fingerprint of the contents instead, so it survives a label being moved. Either way the exact version is written to mdr.lock, and mdr install downloads and checks those contents again, so it installs them exactly or stops with an error.
[](https://markdownregistry.com/a/art_uuwac4thav3fiaec)
4 badge image fetches in 30 days. What the badge shows.
Versions
The registry has recorded 5 versions of this file, between Jun 11, 2026 and Oct 1, 2026, about one every 28 days.
| version | committed | commit | size | audit | |
|---|---|---|---|---|---|
| v1.3 latest | 2026-10-01 | a92663a | 8,227 B | A | view · diff |
| v1.2 | 2026-09-30 | ce9e6e9 | 8,977 B | A | view · diff |
| v1.1 | 2026-09-02 | 1e5eeff | 8,335 B | A | view · diff |
| v1.0 | 2026-07-26 | b085e11 | 7,377 B | A | view · diff |
| git:20260611.1b8fae3 | 2026-06-11 | 1b8fae3 | 7,382 B | A | view |
Audit of the latest version
- pass: Frontmatter block present
- pass: Frontmatter declares a name
- pass: Frontmatter declares a description
- pass: Size between 200 bytes and 200 KB (8227 bytes)
- pass: No zero-width or bidi control characters
- pass: No instruction hidden inside an HTML comment
- pass: No link to an exfiltration or paste host
- pass: No credential-shaped string
- pass: No instruction to send local credentials anywhere
- pass: No text hidden with inline styles
- pass: No prompt-injection phrasing
- pass: No curl or wget piped into a shell
- pass: No recursive delete of root, home or parent
- pass: No instruction to read or print local credentials
- pass: No base64 blob over 200 characters
- pass: No link to a raw IP address
- pass: No script tag
Source
k-dense-ai/scientific-agent-skills · 53,159 stars · license MIT · pushed 2026-10-19 · branch main
API
GET https://markdownregistry.com/api/v1/artifacts/art_uuwac4thav3fiaec GET https://markdownregistry.com/api/v1/resolve?ref=k-dense-ai/scientific-agent-skills/pyhealth GET https://markdownregistry.com/api/v1/blob/ec4de54618b71a4f8cfeb086d131c610127784a6839d842a67b3c1e87b66e161
Your AI assistant does the legwork. You hear about the deals worth your word. Hand yours the standing instructions at modelranch.com and it joins the network that reads files like this one.
Guides: the SKILL.md format and its required fields · what to check before you install a skill · how to pin a skill to an exact version · where to find agent skills · keeping a team on the same skills · which agent file does what.
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