This page tracks how MedSci Skills is used in the wild. It exists because GitHub discards traffic data after 14 days and surfaces it to repo admins only — without a durable record, the evidence of adoption disappears daily. Numbers here are honest snapshots, not marketing. Empty sections mean not yet observed, and they are expected to fill over time.
How the numbers are captured:
- Automated: a weekly workflow (
.github/workflows/metrics.yml) appends tometrics/traffic_log.csv(stars, forks, release downloads, 14-day traffic, Zenodo views/downloads) and — so the source of each wave is not lost after GitHub's 14-day window — tometrics/referrers_log.csv(top referring sites) andmetrics/paths_log.csv(top viewed paths). - Manual: academic citations and named downstream use are logged in
docs/citations.mdas they are discovered.
As of 2026-06-06 (repo created 2026-04-06 — roughly two months old):
| Signal | Value | Source |
|---|---|---|
| GitHub stars | 134 | repo API |
| GitHub forks | 36 | repo API |
| Release asset downloads (cumulative) | 220 | releases API |
| Repo views (trailing 14 days) | 1,636 (560 unique) | traffic API |
| Repo clones (trailing 14 days) | 8,566 (791 unique) | traffic API |
| Zenodo archive | DOI 10.5281/zenodo.20155321 | Zenodo |
Trend over time lives in metrics/traffic_log.csv; a
star-history chart is available at
star-history.com. The
Snapshot block is a point-in-time capture; the live figures are in the traffic log.
These numbers are read conservatively, because most of them measure interest, not confirmed use:
- Stars indicate interest, not confirmed use.
- Forks may indicate experimentation or reuse — a somewhat stronger signal than a star.
- Clones / downloads are inflated by CI and mirroring traffic; the unique columns are more meaningful.
- Confirmed use cases and academic citations are the strongest evidence, and are scarcer than raw stars.
- Current status: early community interest for a niche biomedical-workflow repository — not widespread adoption. This page never claims adoption that has not been observed; a thin section is a truthful section.
- Conforms to the Agent Skills standard (cross-host:
Claude Code, Codex, Cursor, GitHub Copilot — see
docs/host_compatibility.md). - Indexed in community "awesome" lists for the agent-skills ecosystem.
- Archived for citation on Zenodo with a concept DOI (always resolves to latest).
(New listings are added here as they appear.)
Papers, preprints, theses, or protocols that cite the Zenodo DOI or describe
using MedSci Skills in their methods are logged in
docs/citations.md.
If you used MedSci Skills in your research, please tell us — it helps other researchers find the toolkit and helps us understand what to improve.
- Forks: 36 (a fork is the clearest signal that someone is building on or adapting the toolkit).
- Named adopters: collected via the
"Used in research" issue template
and listed in
docs/citations.mdwith permission.
- All figures are point-in-time snapshots from public GitHub/Zenodo APIs. Clone counts include automated CI/mirroring traffic and overstate human use; the unique columns are the more meaningful adoption signal.
- This page never claims adoption that has not been observed. A thin section is a truthful section.