feat(storefront): v5.0.0 — model_engineering category + medsci-modeling plugin + end-to-end repositioning#225
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…modeling plugin, reposition to end-to-end identity
A material distribution change, not a label bump: the medical-AI model-engineering
lane (built additively across v4.x Phases 1-4 + Phase 5 breadth) gets its own
storefront home and the repo identity is widened to cover it.
- New `model_engineering` storefront category ("Model Engineering & Validation") +
`medsci-modeling` marketplace plugin, carved out of "Data & Study Design"
(`medsci-data`). The 6 lane skills (architecture-zoo, model-scaffold,
model-validation, model-card, model-evaluation, mllm-eval) now group under their
own catalog filter and installable plugin. Both generators
(gen_skills_catalog_json category mapping/order, gen_marketplace_json plugin
name/description) + their self-tests cover the new category (9 categories / 9 plugins).
- README masthead + ROADMAP repositioned to the end-to-end identity: design ->
scaffold -> validate -> publish, for the clinical manuscript and the medical-AI
model alike. "Clinical AI model research engineering is in scope" is now explicit,
while "not a general AI-scientist platform" (nor a diagnostic tool / autonomous
author) is kept; the lane integrates MONAI / nnU-Net, never reimplements them.
- Version 4.11.0 -> 5.0.0 (CITATION.cff, package.json, distribution_manifest);
CHANGELOG cut [5.0.0]; .zenodo.json release record refreshed (38 guidelines + lane).
- Counts unchanged (51 skills / 41 detectors / 38 reporting guidelines); CI torch-free.
Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
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v5.0.0 — storefront major for the medical-AI model-engineering lane
A material distribution change, not a label bump. The model-engineering lane was built additively across v4.x (Phases 1–4) plus Phase 5 (build-lane breadth, now in this release); v5.0.0 gives it a dedicated storefront home and widens the repo identity to cover it.
Storefront carve
model_engineering("Model Engineering & Validation") and new marketplace pluginmedsci-modeling, carved out of "Data & Study Design" (medsci-data).architecture-zoo,model-scaffold,model-validation,model-card,model-evaluation,mllm-eval— now group under their own catalog filter and installable plugin (/pluginnow lists nine category plugins).gen_skills_catalog_json.py(category mapping + order) → 9 categories;gen_marketplace_json.py(plugin name + description) → 9 plugins. Generator self-tests assert plugin-per-category coverage dynamically (6/6 + 7/7 pass).Repositioning
Release bookkeeping
CITATION.cff,package.json,metadata/distribution_manifest.json(all three agree;check_version_consistencygreen).CHANGELOG.mdcut[5.0.0] - 2026-06-28(Phase 5 content moved under it)..zenodo.jsonrelease record refreshed (stale "32 EQUATOR guidelines" → 38 + model-lane clause + discovery keywords).Gates (all green locally, CI-mirror)
validate_skills.sh(PII clean) · allgen_*--check(catalog/marketplace/detectors/skill_docs/distribution_manifest) ·validate_catalog_consistency·check_version_consistency·check_domain_probe_sync --strict(17 modules) ·check_frontmatter_schema·validate_routing_assets --strict·check_locale_inventory·check_npm_package_contents· catalog/marketplace/detectors/hero self-tests (6/7/7/28).Deferred (separate, outward-facing — needs explicit auth)
Aperivue/<skill>repo is a publish action; not bundled here to keep this PR strictly in-repo and non-publishing.🤖 Generated with Claude Code