batch-cohort SKILL.md skillA
batch-cohort from aperivue/medsci-skills is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.
mdr add aperivue/medsci-skills/batch-cohort@git:20261004.5b44a65Pins git:20261004.5b44a65 in mdr.lock. Pin the fingerprint instead.
- Audit grade
- A, 17 of 17 checks passed
- Kind
- SKILL.md skill
- Repository
- aperivue/medsci-skills
- Path
skills/batch-cohort/SKILL.md- Versions recorded
- 7
- Latest version
- git:20261004.5b44a65, committed Oct 4, 2026
- First version recorded
- Apr 17, 2026
- Size
- 9,905 bytes
- Repository stars
- 346
- License
- MIT
Use when one validated cohort analysis must be repeated across many exposure/outcome pairs. Generates one R/Python script per combination from a single methodology template, changing only the variables, and aggregates the results into a summary matrix.
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
# Batch Cohort Analysis Skill Generate one analysis script per exposure/outcome combination from a single validated methodology template; only the variables change between scripts. ## Inputs 1. **Database path(s)**: CSV/SAS data files (KNHANES, NHANES, NHIS, or any cleaned cohort) 2. **Methodology template**: One of: - Path to a validated R/Python analysis script (from /replicate-study or /cross-national) - A paper type template name: `nhis_cohort`, `cross_national`, `survey_weighted` - A source paper to extract methodology from (falls back to /replicate-study Phase 1) 3. **Combination spec**: A list of exposure/outcome pairs, provided as: - Inline list: `exposures: [depression, obesity, smoking]; outcomes: [diabetes, hypertension, CVD]` - CSV file with columns: `exposure`, `outcome`, (optional) `subgroup_vars` - `"all"` keyword: generates all pairwise combinations from the lists ### Optional Inputs - **Covariate set**: Fixed covariate list for all analyses (default: use template's set) - **Subgroup variables**: Variables to stratify by (default: sex, age group) …
Read the whole file at its exact version.
How to install
mdr add aperivue/medsci-skills/batch-cohort@sha256:8f9b00b4e83b4261The line at the top of this page pins the label git:20261004.5b44a65, 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_z22ngos3pwgaehub)
5 badge image fetches in 30 days. What the badge shows.
Versions
The registry has recorded 7 versions of this file, between Apr 17, 2026 and Oct 4, 2026, about one every 28 days.
| version | committed | commit | size | audit | |
|---|---|---|---|---|---|
| git:20261004.5b44a65 latest | 2026-10-04 | 5b44a65 | 9,905 B | A | view · diff |
| git:20261003.a102d6b | 2026-10-03 | a102d6b | 9,885 B | A | view · diff |
| git:20260930.30387c2 | 2026-09-30 | 30387c2 | 9,607 B | A | view · diff |
| git:20260930.913abeb | 2026-09-30 | 913abeb | 9,613 B | A | view · diff |
| git:20260607.925fc26 | 2026-06-07 | 925fc26 | 11,698 B | A | view · diff |
| git:20260418.11caf95 | 2026-04-18 | 11caf95 | 11,198 B | A | view · diff |
| git:20260417.f3c9456 | 2026-04-17 | f3c9456 | 9,776 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 (9905 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
aperivue/medsci-skills · 346 stars · license MIT · pushed 2026-10-19 · branch main
API
GET https://markdownregistry.com/api/v1/artifacts/art_z22ngos3pwgaehub GET https://markdownregistry.com/api/v1/resolve?ref=aperivue/medsci-skills/batch-cohort GET https://markdownregistry.com/api/v1/blob/8f9b00b4e83b4261ba27e0a598245601e3d2d73816e9756aa18e4849f3fc17ed
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.