# Adoption & Impact 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`](.github/workflows/metrics.yml)) appends to [`metrics/traffic_log.csv`](metrics/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 — to [`metrics/referrers_log.csv`](metrics/referrers_log.csv) (top referring sites) and [`metrics/paths_log.csv`](metrics/paths_log.csv) (top viewed paths). - **Manual**: academic citations and named downstream use are logged in [`docs/citations.md`](docs/citations.md) as they are discovered. --- ## Snapshot *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](https://doi.org/10.5281/zenodo.20155321) | Zenodo | Trend over time lives in [`metrics/traffic_log.csv`](metrics/traffic_log.csv); a star-history chart is available at [star-history.com](https://star-history.com/#Aperivue/medsci-skills&Date). The Snapshot block is a point-in-time capture; the live figures are in the traffic log. ## Interpretation of metrics 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. - **AI-mediated discovery** is a distinct and growing channel: the referrer log ([`metrics/referrers_log.csv`](metrics/referrers_log.csv)) captures visits arriving from LLM assistants such as ChatGPT and Claude. Because agent-recommended installs are often cloned or run via `npx` without ever loading the GitHub page, this channel — and the real usage behind it — is systematically undercounted by the star count. - **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. --- ## Listings & ecosystem presence - Conforms to the [Agent Skills](https://agentskills.io) standard (cross-host: Claude Code, Codex, Cursor, GitHub Copilot — see [`docs/host_compatibility.md`](docs/host_compatibility.md)). - Published to the npm registry (`medsci-skills`) and the Claude Code plugin marketplace. - Listed in the [Evidence Synthesis Tools](https://evidencesynthesis-tools.github.io/) directory (Workflow & Automation category; added via a maintainer-reviewed [PR](https://github.com/evidencesynthesis-tools/awesome-evidence-synthesis/pull/4), 2026-06-03). - Included by independent maintainers in four third-party curated "awesome" lists: [awesome-medical-ai-skills](https://github.com/JuneYaooo/awesome-medical-ai-skills/blob/7e395fd600a64234dde74cb3be08710e300c8554/README.md#L424) and its [Chinese edition](https://github.com/JuneYaooo/awesome-medical-ai-skills-cn/blob/239471ad76d2d2f88bf1674bd4f3d09e8e06bb03/README.md#L227) (juneyaooo), [awesome-claude-skills](https://github.com/Chat2AnyLLM/awesome-claude-skills/blob/c2b12ff1a87c41045e28a7cc01863511f3654fcf/README.md#L127) (Chat2AnyLLM), and [awesome-research-agents](https://github.com/chrisliu298/awesome-research-agents/blob/fb32bf2ed19ed37c2ebd944c9bfdcd68d83e1411/README.md#L90) (chrisliu298). These are inclusion signals (a maintainer chose to list the toolkit), not independent reviews. - Archived for citation on Zenodo with a concept DOI (always resolves to latest). *(New listings are added here as they appear.)* --- ## Academic citations Papers, preprints, theses, or protocols that cite the Zenodo DOI or describe using MedSci Skills in their methods are logged in [`docs/citations.md`](docs/citations.md). If you used MedSci Skills in your research, please [tell us](https://github.com/Aperivue/medsci-skills/issues/new?template=used-in-research.yml) — it helps other researchers find the toolkit and helps us understand what to improve. --- ## Downstream use - **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](https://github.com/Aperivue/medsci-skills/issues/new?template=used-in-research.yml) and listed in [`docs/citations.md`](docs/citations.md) with permission. --- ## Notes on methodology - 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.