Публічний реєстр
Звіт про здоров'я програмного забезпеченнясхема 0.30.0 · метрики 2.5.0 · 2026-08-04 02:14 UTC

maziyarpanahi / openmed

Local-first healthcare AI: clinical NER & HIPAA PII de-identification that runs 100% on-device. 2,200+ medical models, 21 languages, Apple MLX + Python, no cloud, no patient data leaving your network. Apache-2.0

PythonApache-2.0★ 4 827 зірок⑂ 598 форківз жовт. 2025 р.Переглянути на GitHub ↗
ТипМережевий сервісІнструмент командного рядкаМобільний застосунокБібліотекаяк це визначено

maziyarpanahi/openmed має індекс здоров’я 95 зі 100, що відповідає смузі «Винятковий». Найвищий показник — Engineering Quality (100/100), найнижчий — Security (62/100). Останнє оновлення — сьогодні. Більшість нещодавньої роботи виконує один учасник.

95
загалом / 100
Винятковий

Індекс здоров'я програмного забезпечення

Метрики згруповано у зважені категорії на шкалі 1–100. Загальна оцінка починається як їхнє зважене середнє, відкаліброване за розподілом публічного реєстру, тож діапазони мають перцентильний зміст; коли публічні дані активують Політику юрисдикцій високого ризику, рейтинг коригується й отримує верхню межу 34 («У зоні ризику»).

95
Винятковий93-100Верхній щабель реєстру (≈ топ-5%); відповідає практично всім перевіреним критеріям
Відмінний80-92Сильний за всіма напрямами; незначні прогалини
Добрий65-79Здоровий; прогалини обмежені та керовані
Помірний50-64Прийнятний, але з помітними прогалинами; рекомендовано перевірку
Слабкий35-49Суттєві недоліки в кількох сферах
У зоні ризику20-34Суттєві слабкі місця; впровадження потребує обережності
Критичний1-19Серйозні проблеми (покинутий, єдиний мейнтейнер, без базової гігієни)
ЖиттєздатністьСпільнота тавпровадженняСталість таврядуванняІнженернаякістьБезпекаГотовність доШІ

Профіль оцінок

Кожна вісь — окрема категорія. Форма важить більше, ніж середнє: здоровий об'єкт заповнює всю фігуру, тоді як профіль із піками та провалами означає, що сила в одному вимірі маскує ризик в іншому.

Зважений загальний бал 82 калібровано до 95 за шкалою опублікованого індексу (калібрування реєстру 2026-08-02).

Власність

Maziyar PanahiОсобистий обліковий запис
1 238 підписників40 публічних репозиторіївз жовт. 2013 р.@ISCPIF

Цей репозиторій належить особистому обліковому запису. Проєкт з єдиним власником несе більший ризик безперервності, ніж підтримуваний організацією.

Пакетні екосистеми

РеєстрПакетВерсіяЗавантажень / місВерсіїОстання публікаціяТеги
PyPIopenmed2.0.03 961 388466 днів томуllmnlpbiomedicalclinicalhealthcaremedicalmedical-llmsmedical-nermedical-nlpmedical-de-identificationmedical-extractionmedical-language-modelsmedical-reasoningnatural-language-processing

Метрики за категоріями

Життєздатність

Чи живий проєкт — чи пишеться код і чи виходять релізи?

91Відмінний · 21% загального індексу
Як обчислюється оцінка
36/36Свіжість push — останній push 0 дн. тому
27/36Ритм комітів — 39/52 тижнів із комітами
18/18Обсяг комітів — 3 537 комітів за останній рік
10/10OpenSSF Scorecard: Maintained — 30 commit(s) and 30 issue activity found in the last 90 days -- score normalized to 10
Використані вхідні дані
commits_last_year3 537
human_commit_share1
days_since_last_push0
active_weeks_last_year39
Як обчислюється оцінка
27/27Випускає релізи — опубліковано 40 релізів
36/36Свіжість релізів — останній реліз 6 дн. тому
27/27Ритм релізів — реліз кожні ~7,5 дн.
1/10OpenSSF Scorecard: Signed-Releases — 1 out of the last 5 releases have a total of 1 signed artifacts.
Використані вхідні дані
releases_count40
latest_release_tagv2.0.0
releases_from_tagsні
days_since_latest_release6
mean_days_between_releases7,5

Спільнота та впровадження

Чи має проєкт користувачів, завантаження, увагу та влаштовані умови для контриб’юторів?

94Винятковий · 17% загального індексу
Як обчислюється оцінка
59.8/60Зірки — 4 827 зірок
23.1/25Форки — 598 форків
7.8/15Спостерігачі — 26 спостерігачів
Використані вхідні дані
forks598
stars4 827
watchers26
growth_stateunverified
growth_factor_pct100
growth_unverified_reasonno_history
Як обчислюється оцінка
22.5/22.5README
22.5/22.5Ліцензія — визнана ліцензія (Apache-2.0)
18/18Настанови CONTRIBUTING
13.5/13.5Кодекс поведінки
0/7.2Шаблон issue
6.3/6.3Шаблон PR
Використані вхідні дані
has_readmeтак
has_licenseтак
readme_badges0
has_contributingтак
has_issue_templateні
has_code_of_conductтак
readme_badge_services
has_pull_request_templateтак
Як обчислюється оцінка
80/80Щомісячні завантаження — 3 961 388 завантажень/місяць у pypi
0/20Залежні пакети в реєстрі — ця екосистема цього не повідомляє
Використані вхідні дані
packagesopenmed
dependents
ecosystemspypi
total_downloads
monthly_downloads3 961 388
Виключено з оцінювання (немає даних або не застосовно): Залежні пакети в реєстрі. Залишкові ваги перенормовано.

Сталість та врядування

Чи переживе проєкт своїх людей — бас-фактор, реактивність, хто за ним стоїть і як супроводжуються пакети?

64Помірний · 23% загального індексу
Як обчислюється оцінка
9/54Бас-фактор — на 1 контриб’ютор(ів) припадає половина всіх комітів
1.5/22.5Розподіл комітів — головний контриб’ютор — автор 93% комітів
13.5/13.5Широта контриб’юторів — 59 контриб’юторів
10/10OpenSSF Scorecard: Contributors — project has 8 contributing companies or organizations
Використані вхідні дані
bus_factor1
contributors_sampled59
top_contributor_share0,932
Як обчислюється оцінка
32/42Вирішення issue — закрито 76% issue
25.1/30Прийняття PR — злито 827/989 вирішених PR
6.5/13Newcomer PR acceptance — злито 1/2 PR від новачків за 30 дн.
0/15OpenSSF Scorecard: Code-Review — Found 0/16 approved changesets -- score normalized to 0
Використані вхідні дані
merged_prs827
open_issues259
closed_issues827
prs_merged_7d55
prs_decided_7d60
prs_merged_30d55
prs_decided_30d60
issue_closed_ratio0,762
closed_unmerged_prs162
first_time_authors_30d2
first_time_prs_merged_30d1
first_time_prs_decided_30d2
Як обчислюється оцінка
10/30Підтримка власника — особистий (користувацький) обліковий запис
0/20Верифікований домен — не застосовно до користувацьких облікових записів
22.2/25Охоплення власника — 1 238 підписників у maziyarpanahi
23.7/25Послужний список — 40 публічних репозиторіїв, вік облікового запису ~12 р.
Використані вхідні дані
followers1 238
owner_typeUser
is_verified
owner_loginmaziyarpanahi
public_repos40
account_age_days4 666
Виключено з оцінювання (немає даних або не застосовно): Верифікований домен. Залишкові ваги перенормовано.

Супровід пакетів

100Винятковий
Як обчислюється оцінка
25/25Опубліковано й доступно — 1 пакет(ів) у pypi
35/35Свіжість публікацій — остання публікація 6 дн. тому
20/20Історія версій — 46 опублікованих версій
20/20Не застарілий — активний, не deprecated і не yanked
Використані вхідні дані
packagesopenmed
ecosystemspypi
any_deprecatedні
min_days_since_publish6

Інженерна якість

Чи наявні базові інженерні практики та документація?

100Винятковий · 19% загального індексу
Як обчислюється оцінка
24/24Процеси CI — 26 процес(ів) CI
24/24Наявні тести
16/16Конфігурація лінтера
9.6/9.6Pre-commit-хуки
6.4/6.4.editorconfig
20/20OpenSSF Scorecard: CI-Tests — 16 out of 16 merged PRs checked by a CI test -- score normalized to 10
Використані вхідні дані
has_ciтак
has_testsтак
has_editorconfigтак
has_linter_configтак
has_precommit_configтак

Документація

100Винятковий
Як обчислюється оцінка
30/30README
25/25Каталог документації
15/15Сайт документації / домашня сторінка — https://openmed.life/
10/10Опис репозиторію
10/10Теми — 20 тем
10/10Wiki
Використані вхідні дані
topicshealthcare, llm, on-device, on-premise, sovereign-ai, mlx, swift, ios, swiftui, ner, pii, pii-detection, clinical-nlp, hipaa, local-llm, nlp, python, skills, android, javascript
has_wikiтак
homepagehttps://openmed.life/
has_readmeтак
has_docs_dirтак
has_descriptionтак

Безпека

Чи міцні видимі практики безпеки й ланцюга постачання, без непослабленої пов’язаності з юрисдикціями високого ризику?

62Помірний · 16% загального індексу

Стан безпеки

52Помірний
Як обчислюється оцінка
6.8/7.5Binary-Artifacts — binaries present in source code
0/7.5Branch-Protection — branch protection not enabled on development/release branches
2.5/2.5CI-Tests — 16 out of 16 merged PRs checked by a CI test -- score normalized to 10
0/2.5CII-Best-Practices — no effort to earn an OpenSSF best practices badge detected
0/7.5Code-Review — Found 0/16 approved changesets -- score normalized to 0
2.5/2.5Contributors — project has 8 contributing companies or organizations
10/10Dangerous-Workflow — no dangerous workflow patterns detected
7.5/7.5Dependency-Update-Tool — update tool detected
5/5Fuzzing — project is fuzzed
2.5/2.5Ліцензія — license file detected
7.5/7.5Maintained — 30 commit(s) and 30 issue activity found in the last 90 days -- score normalized to 10
5/5Packaging — packaging workflow detected
0/5Pinned-Dependencies — dependency not pinned by hash detected -- score normalized to 0
0/5SAST — SAST tool is not run on all commits -- score normalized to 0
5/5Security-Policy — security policy file detected
0.8/7.5Signed-Releases — 1 out of the last 5 releases have a total of 1 signed artifacts.
0/7.5Token-Permissions — detected GitHub workflow tokens with excessive permissions
0/7.5Vulnerabilities — 36 existing vulnerabilities detected
Використані вхідні дані
sourceopenssf_scorecard
checks_evaluated18
scorecard_versionv5.5.0
checks_inconclusive0
scorecard_aggregate5,2
Як обчислюється оцінка
35/35Прямі залежності без відомих сповіщень — жодна пряма залежність не має відомих сповіщень
25/25Непрямі залежності без відомих сповіщень — жодна непряма залежність не має відомих сповіщень
0/40Немає задавнених сповіщень — жодне сповіщення не має дати публікації
Використані вхідні дані
sourceosv
advisories0
affected_packages0
assessed_packages4
unassessed_packages0
affected_by_severitynone
direct_affected_packages0
Виключено з оцінювання (немає даних або не застосовно): Немає задавнених сповіщень. Залишкові ваги перенормовано. Звірено з runtime-замиканням залежностей pypi:openmed@2.0.0 — тим, що тягне за собою встановлення опублікованого пакета, — 4 пакетів. Досяжність не аналізується.

Готовність до ШІ

Наскільки репозиторій оснащений для розробки та супроводу за участі ШІ-агентів? Має свідомо малу вагу (4%): агентний інструментарій — реальний сигнал супроводу, але репозиторій без нього все одно може отримати 100/100.

83Відмінний · 4% загального індексу
Як обчислюється оцінка
45/45Інструкції для агентів — AGENTS.md
0/15Машиночитана документація (llms.txt)
40/40Читабельна історія комітів — намір зазначено у 87 з 100 людських комітів (структурований заголовок або пояснювальний текст)
Використані вхідні дані
has_llms_txtні
legible_history_share0,87
agent_instruction_filesAGENTS.md
agent_instruction_max_bytes7 963
Як обчислюється оцінка
18/18Розгортання однією командою — Makefile
22/22Автоматизовані тести
11/11Конфігурація лінтера / форматера
11/11Статична перевірка типів — clients/typescript/tsconfig.json, js/openmedkit-react-native/tsconfig.json, js/openmedkit-web/tsconfig.json, openmed/py.typed
10/10Відтворюване середовище — Dockerfile, Nix, lockfile
0/10Підтверджена практика роботи з агентами — серед останніх 100 комітів немає створених агентом
5/8Автоматизоване супроводження — автоматизацію залежностей налаштовано, але у вибірці комітів її не видно
0/10OpenSSF Scorecard: Pinned-Dependencies — dependency not pinned by hash detected -- score normalized to 0
Використані вхідні дані
has_nixтак
has_testsтак
lockfilespackage-lock.json, uv.lock
has_dockerfileтак
typed_languageні
bootstrap_filesMakefile
has_devcontainerні
has_linter_configтак
typecheck_configsclients/typescript/tsconfig.json, js/openmedkit-react-native/tsconfig.json, js/openmedkit-web/tsconfig.json, openmed/py.typed
agent_commit_share0
toolchain_manifestsandroid/OpenMedDemo/app/build.gradle.kts, android/OpenMedScanDemo/app/build.gradle.kts, android/build.gradle.kts, android/openmedkit/build.gradle.kts, clients/go/go.mod
dependency_bot_commit_share0
Як обчислюється оцінка
27/45Типізований код — Python з конфігурацією перевірки типів (clients/typescript/tsconfig.json, js/openmedkit-react-native/tsconfig.json, js/openmedkit-web/tsconfig.json, openmed/py.typed)
53.9/55Керовані розміри файлів — 28/1 440 файлів вихідного коду понад 60 КБ
Використані вхідні дані
primary_languagePython
largest_source_bytes365 758
source_files_sampled1 440
oversized_source_files28
Як обчислюється оцінка
40/40Схема API (OpenAPI/GraphQL/proto) — docs/api/openapi.json, openmed/service/proto/openmed.proto
20/20Сервер MCP
40/40Придатні до запуску приклади — examples, notebooks
Використані вхідні дані
example_dirsexamples, notebooks
has_mcp_signalтак
api_schema_filesdocs/api/openapi.json, openmed/service/proto/openmed.proto

Ключові факти

4 827зірок GitHub
59контриб'юторів
3 537комітів за останні 12 місяців
0днів від останнього пушу
40релізів
1бас-фактор
259відкритих issue
Maven, PyPIпакетних екосистем

Попередження щодо збору даних

  • Star history unavailable: GitHub GraphQL error: Resource not accessible by personal access token
  • GitHub dependency-graph SBOM unavailable (404); the dependency graph may be disabled for this repository

Докладніше

Історія зірок і форків 0 ★ / 598 ⇿
0Зірки
598Форки
40Релізи

Коли додано кожну зірку й форк — зібрано з GitHub і згруповано за днями. Кумулятивне зростання розміщено просто над денними додаваннями, з яких воно складається, тож їх видно одне проти одного: рівномірне органічне накопичення виглядає зовсім інакше, ніж різкий короткочасний сплеск. Там, де цю різницю можна виміряти, її подано як автентичність росту.

0100200300400500600598352025-102026-032026-08
Мажорні 2Мінорні 14Патчі 22
OpenSSF Scorecard 5.2 / 10
5.2сукупно

Незалежна, не прив'язана до інструментів оцінка безпеки від відкритого проєкту OpenSSF Scorecard. Кожна перевірка винагороджує практику безпеки, а не інструмент конкретного постачальника. Перевірки, які Scorecard не зміг визначити, позначено н/д і виключено з оцінки безпеки (вони ніколи не зараховуються як нуль).Scorecard v5.5.0 · 2026-08-04 02:14 UTC

9Binary-Artifactsbinaries present in source code
0Branch-Protectionbranch protection not enabled on development/release branches
10CI-Tests16 out of 16 merged PRs checked by a CI test -- score normalized to 10
0CII-Best-Practicesno effort to earn an OpenSSF best practices badge detected
0Code-ReviewFound 0/16 approved changesets -- score normalized to 0
10Contributorsproject has 8 contributing companies or organizations
10Dangerous-Workflowno dangerous workflow patterns detected
10Dependency-Update-Toolupdate tool detected
10Fuzzingproject is fuzzed
10Licenselicense file detected
10Maintained30 commit(s) and 30 issue activity found in the last 90 days -- score normalized to 10
10Packagingpackaging workflow detected
0Pinned-Dependenciesdependency not pinned by hash detected -- score normalized to 0
0SASTSAST tool is not run on all commits -- score normalized to 0
10Security-Policysecurity policy file detected
1Signed-Releases1 out of the last 5 releases have a total of 1 signed artifacts.
0Token-Permissionsdetected GitHub workflow tokens with excessive permissions
0Vulnerabilities36 existing vulnerabilities detected
Прямі залежності 4
РеєстрПакетОбмеження версіїМаніфест
PyPIpysbd>=0.3.4,<0.4pyproject.toml
PyPIfaker>=22.0pyproject.toml
PyPIjieba>=0.42.1,<0.43pyproject.toml
PyPIpyyaml>=6.0pyproject.toml
Усі залежності не зібрано

Не вдалося зібрати розв'язаний набір залежностей для цього звіту: GitHub dependency-graph SBOM unavailable (404); the dependency graph may be disabled for this repository

Сповіщення про залежності 0

Встановлення pypi:openmed@2.0.0 тягне 4 пакетів, прямих і транзитивних: 0 мають відомі сповіщення, з них 0 — прямі залежності.

Жодне відоме сповіщення не стосується оцінених залежностей.

Сповіщення означає, що версія, записана в графі залежностей, потрапляє в уражений діапазон. Досяжність не аналізується, а граф містить піниї розробки й тестування — знахідка може стосуватися інструментів, а не поставленого коду.

Звіт у форматі JSON машиночитний
{
  "data": {
    "repo": {
      "topics": [
        "healthcare",
        "llm",
        "on-device",
        "on-premise",
        "sovereign-ai",
        "mlx",
        "swift",
        "ios",
        "swiftui",
        "ner",
        "pii",
        "pii-detection",
        "clinical-nlp",
        "hipaa",
        "local-llm",
        "nlp",
        "python",
        "skills",
        "android",
        "javascript"
      ],
      "is_fork": false,
      "size_kb": 58432,
      "has_wiki": true,
      "homepage": "https://openmed.life/",
      "languages": {
        "Go": 82973,
        "CSS": 269,
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          "headline": "feat: add opt-in clinical assertion context",
          "author_name": "Maziyar Panahi",
          "author_login": "maziyarpanahi",
          "committed_at": "2026-08-03T12:00:58Z",
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          "is_coding_agent": false
        },
        {
          "oid": "6191bd7d1b897117a36c70f6fc35a27b677ebd9e",
          "body": "* Build signed audit report provenance\n\n* fix: record locale-rule audit provenance\n\n---------\n\nCo-authored-by: Maziyar Panahi <5762953+maziyarpanahi@users.noreply.github.com>",
          "is_bot": false,
          "headline": "Complete signed audit report provenance (#2067)",
          "author_name": "Maziyar Panahi",
          "author_login": "maziyarpanahi",
          "committed_at": "2026-08-03T11:30:54Z",
          "body_truncated": false,
          "is_coding_agent": false
        },
        {
          "oid": "7be34fe9808d3ccae42b583548b5b9670082ef53",
          "body": "* feat: add temporal TLINK candidate extraction\n\n* feat: complete clinical temporal timeline\n\n---------\n\nCo-authored-by: Maziyar Panahi <5762953+maziyarpanahi@users.noreply.github.com>",
          "is_bot": false,
          "headline": "Complete clinical temporal relations and timeline composition (#2087)",
          "author_name": "Maziyar Panahi",
          "author_login": "maziyarpanahi",
          "committed_at": "2026-08-03T11:30:12Z",
          "body_truncated": false,
          "is_coding_agent": false
        },
        {
          "oid": "01cc3cd3c8a4129a97289b35116360c65060b97e",
          "body": null,
          "is_bot": false,
          "headline": "feat: expand Indic NER robustness evaluation",
          "author_name": "Maziyar Panahi",
          "author_login": "maziyarpanahi",
          "committed_at": "2026-08-03T11:16:13Z",
          "body_truncated": false,
          "is_coding_agent": false
        },
        {
          "oid": "f46c8ba2252c2e01e58b698eaa654f99ab8ba397",
          "body": "Harden Indic NER checkpoint compatibility",
          "is_bot": false,
          "headline": "Merge pull request #2086 from maziyarpanahi/feature/v21-child-1654",
          "author_name": "Maziyar Panahi",
          "author_login": "maziyarpanahi",
          "committed_at": "2026-08-03T10:29:23Z",
          "body_truncated": false,
          "is_coding_agent": false
        },
        {
          "oid": "48c052dcbc5a3c3d66c94c5f2fb95fd58b7831f4",
          "body": null,
          "is_bot": false,
          "headline": "fix: classify Indic NER documentation",
          "author_name": "Maziyar Panahi",
          "author_login": "maziyarpanahi",
          "committed_at": "2026-08-03T09:43:04Z",
          "body_truncated": false,
          "is_coding_agent": false
        },
        {
          "oid": "6e984ca161c744f3b9ba638122c9e8728b917bb2",
          "body": null,
          "is_bot": false,
          "headline": "feat: harden Indic NER checkpoint compatibility",
          "author_name": "Maziyar Panahi",
          "author_login": "maziyarpanahi",
          "committed_at": "2026-08-03T09:39:46Z",
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          "is_coding_agent": false
        },
        {
          "oid": "d5bdb3bc9f39bf5bf69238c15e9a92b76d646c78",
          "body": null,
          "is_bot": false,
          "headline": "feat: extract medication attribute relations",
          "author_name": "Maziyar Panahi",
          "author_login": "maziyarpanahi",
          "committed_at": "2026-08-03T09:24:43Z",
          "body_truncated": false,
          "is_coding_agent": false
        },
        {
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          "body": "Wire discovered plugins into runtime registries",
          "is_bot": false,
          "headline": "Merge pull request #2081 from maziyarpanahi/feature/v21-child-1326",
          "author_name": "Maziyar Panahi",
          "author_login": "maziyarpanahi",
          "committed_at": "2026-08-03T09:10:35Z",
          "body_truncated": false,
          "is_coding_agent": false
        },
        {
          "oid": "f7d9b3d5240fa1dbf43ab6e84887dad70a5ef11c",
          "body": "Collapse coreferent clinical relation and FHIR outputs",
          "is_bot": false,
          "headline": "Merge pull request #2075 from maziyarpanahi/feature/v21-child-1313",
          "author_name": "Maziyar Panahi",
          "author_login": "maziyarpanahi",
          "committed_at": "2026-08-03T09:09:56Z",
          "body_truncated": false,
          "is_coding_agent": false
        },
        {
          "oid": "2a9cd11079264f164c1656df18f80a8d5dd59369",
          "body": "…n-fixtures\n\nHarden synthetic golden fixture validation",
          "is_bot": false,
          "headline": "Merge pull request #2080 from maziyarpanahi/feature/om-019-eval-golde…",
          "author_name": "Maziyar Panahi",
          "author_login": "maziyarpanahi",
          "committed_at": "2026-08-03T08:52:26Z",
          "body_truncated": false,
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        },
        {
          "oid": "b0d555d267e8fdac3d477f8350e0d685b1c5037c",
          "body": "# Conflicts:\n#\tdocs/clinical/coreference.md",
          "is_bot": false,
          "headline": "Merge remote-tracking branch 'origin/master' into feature/v21-child-1313",
          "author_name": "Maziyar Panahi",
          "author_login": "maziyarpanahi",
          "committed_at": "2026-08-03T08:28:28Z",
          "body_truncated": false,
          "is_coding_agent": false
        },
        {
          "oid": "1e16f118a43f29ed5e0aa9556314ed1d80105abe",
          "body": null,
          "is_bot": false,
          "headline": "feat: wire plugins into runtime registries",
          "author_name": "Maziyar Panahi",
          "author_login": "maziyarpanahi",
          "committed_at": "2026-08-03T08:19:26Z",
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        },
        {
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          "body": null,
          "is_bot": false,
          "headline": "fix: reject duplicate golden fixture ids",
          "author_name": "Maziyar Panahi",
          "author_login": "maziyarpanahi",
          "committed_at": "2026-08-03T07:59:18Z",
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          "is_coding_agent": false
        },
        {
          "oid": "6fda195c53d21ee19628e0899cacaf98c9553d68",
          "body": "Add plugin example package and conformance kit",
          "is_bot": false,
          "headline": "Merge pull request #2079 from maziyarpanahi/feature/v21-child-1325",
          "author_name": "Maziyar Panahi",
          "author_login": "maziyarpanahi",
          "committed_at": "2026-08-03T07:36:06Z",
          "body_truncated": false,
          "is_coding_agent": false
        },
        {
          "oid": "cebcfda283996bd1b2be6fe0190b39e75aa624b0",
          "body": "…ection-detector\n\nAdd rules-first clinical section detection",
          "is_bot": false,
          "headline": "Merge pull request #2078 from maziyarpanahi/feature/om-086-clinical-s…",
          "author_name": "Maziyar Panahi",
          "author_login": "maziyarpanahi",
          "committed_at": "2026-08-03T07:35:28Z",
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          "is_coding_agent": false
        },
        {
          "oid": "f1b95383a053c5cdd383986bda03e057500c8d64",
          "body": "…ss-leakage-metrics\n\nComplete leakage-first eval benchmark harness",
          "is_bot": false,
          "headline": "Merge pull request #2063 from maziyarpanahi/feature/om-018-eval-harne…",
          "author_name": "Maziyar Panahi",
          "author_login": "maziyarpanahi",
          "committed_at": "2026-08-03T07:34:47Z",
          "body_truncated": false,
          "is_coding_agent": false
        },
        {
          "oid": "4eac57d571ba7b32d1c05be750d2af7314b0d833",
          "body": "…-harness-leakage-metrics\n\n# Conflicts:\n#\ttests/unit/eval/test_metrics.py",
          "is_bot": false,
          "headline": "Merge remote-tracking branch 'origin/master' into feature/om-018-eval…",
          "author_name": "Maziyar Panahi",
          "author_login": "maziyarpanahi",
          "committed_at": "2026-08-03T06:56:01Z",
          "body_truncated": false,
          "is_coding_agent": false
        },
        {
          "oid": "b6ee4df3c058abd6d1b3ab251e81cbb927207da8",
          "body": null,
          "is_bot": false,
          "headline": "feat: add plugin conformance kit",
          "author_name": "Maziyar Panahi",
          "author_login": "maziyarpanahi",
          "committed_at": "2026-08-03T06:49:13Z",
          "body_truncated": false,
          "is_coding_agent": false
        },
        {
          "oid": "03a9cdfbcdb60236ec22ca3ed9e487a159d23325",
          "body": null,
          "is_bot": false,
          "headline": "feat: add canonical clinical section detection",
          "author_name": "Maziyar Panahi",
          "author_login": "maziyarpanahi",
          "committed_at": "2026-08-03T05:53:31Z",
          "body_truncated": false,
          "is_coding_agent": false
        },
        {
          "oid": "7a293a166986511eb360dc10234199f0129f25d8",
          "body": "* feat: add clinical event coreference clustering\n\n* fix: refresh coreference docs search snapshot\n\n* fix: refresh wheel size baseline\n\n---------\n\nCo-authored-by: Maziyar Panahi <5762953+maziyarpanahi@users.noreply.github.com>",
          "is_bot": false,
          "headline": "Add privacy-safe clinical event coreference candidate clustering (#2071)",
          "author_name": "Maziyar Panahi",
          "author_login": "maziyarpanahi",
          "committed_at": "2026-08-03T05:22:13Z",
          "body_truncated": false,
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        },
        {
          "oid": "a41bc0c15ce1ca5c53efc84346026e5d8ac785e3",
          "body": null,
          "is_bot": false,
          "headline": "feat: add core plugin SDK registry",
          "author_name": "Maziyar Panahi",
          "author_login": "maziyarpanahi",
          "committed_at": "2026-08-03T04:14:20Z",
          "body_truncated": false,
          "is_coding_agent": false
        },
        {
          "oid": "aa86fa350b3ff9cd14d4e47f7c6f7fff0ed3d92e",
          "body": null,
          "is_bot": false,
          "headline": "Add redaction-preserving retrieval toolkit",
          "author_name": "Maziyar Panahi",
          "author_login": "maziyarpanahi",
          "committed_at": "2026-08-03T03:56:46Z",
          "body_truncated": false,
          "is_coding_agent": false
        },
        {
          "oid": "07c43edfd04e7572b775a3c2afa18b983f321696",
          "body": "Attach clinical event frames to coreference representatives",
          "is_bot": false,
          "headline": "Merge pull request #2073 from maziyarpanahi/feature/v21-child-1312",
          "author_name": "Maziyar Panahi",
          "author_login": "maziyarpanahi",
          "committed_at": "2026-08-03T03:32:49Z",
          "body_truncated": false,
          "is_coding_agent": false
        },
        {
          "oid": "2b1c944eb760607aaab5a2a2235327064febe59c",
          "body": "* feat: add temporal TLINK evaluation gate\n\n* docs: record temporal TLINK evaluation gate\n\n---------\n\nCo-authored-by: Maziyar Panahi <5762953+maziyarpanahi@users.noreply.github.com>",
          "is_bot": false,
          "headline": "feat: add temporal TLINK gold and consistency metrics (#2068)",
          "author_name": "Maziyar Panahi",
          "author_login": "maziyarpanahi",
          "committed_at": "2026-08-03T03:15:32Z",
          "body_truncated": false,
          "is_coding_agent": false
        },
        {
          "oid": "c7d6b40eb847ecf6f0d0e11a9958015c1a04d8ce",
          "body": "* feat: anchor clinical events to DCT\n\n* fix: preserve normalized event anchors\n\n---------\n\nCo-authored-by: Maziyar Panahi <5762953+maziyarpanahi@users.noreply.github.com>",
          "is_bot": false,
          "headline": "feat: anchor clinical events to DCT and TIMEX values (#2062)",
          "author_name": "Maziyar Panahi",
          "author_login": "maziyarpanahi",
          "committed_at": "2026-08-03T03:14:56Z",
          "body_truncated": false,
          "is_coding_agent": false
        },
        {
          "oid": "2ada930aa2aa0f3995b2075bbb901139d39b4a9a",
          "body": "…ection-detection\n\nAdd clinical document type classification",
          "is_bot": false,
          "headline": "Merge pull request #2074 from maziyarpanahi/feature/om-042-clinical-s…",
          "author_name": "Maziyar Panahi",
          "author_login": "maziyarpanahi",
          "committed_at": "2026-08-03T03:14:17Z",
          "body_truncated": false,
          "is_coding_agent": false
        },
        {
          "oid": "96c17d20fdc49351e0a70e75d9b528b577f4c61f",
          "body": "* Add MCP clinical workflow contracts\n\n* fix: validate clinical workflow artifacts\n\n---------\n\nCo-authored-by: Maziyar Panahi <5762953+maziyarpanahi@users.noreply.github.com>",
          "is_bot": false,
          "headline": "Complete clinical MCP workflow validation (#2072)",
          "author_name": "Maziyar Panahi",
          "author_login": "maziyarpanahi",
          "committed_at": "2026-08-03T03:13:36Z",
          "body_truncated": false,
          "is_coding_agent": false
        },
        {
          "oid": "ae607541f6196edb102eb08e3329531817124f4c",
          "body": null,
          "is_bot": false,
          "headline": "feat: collapse coreferent clinical outputs",
          "author_name": "Maziyar Panahi",
          "author_login": "maziyarpanahi",
          "committed_at": "2026-08-03T02:45:45Z",
          "body_truncated": false,
          "is_coding_agent": false
        },
        {
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          "body": null,
          "is_bot": false,
          "headline": "feat: add clinical document type classification",
          "author_name": "Maziyar Panahi",
          "author_login": "maziyarpanahi",
          "committed_at": "2026-08-03T02:28:22Z",
          "body_truncated": false,
          "is_coding_agent": false
        },
        {
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          "body": null,
          "is_bot": false,
          "headline": "feat: attach event frames to coreference representatives",
          "author_name": "Maziyar Panahi",
          "author_login": "maziyarpanahi",
          "committed_at": "2026-08-03T01:35:43Z",
          "body_truncated": false,
          "is_coding_agent": false
        },
        {
          "oid": "de90aba78aa43fe706ba47cfe94bc173fb2673cd",
          "body": "Expose privacy-safe event timeline ordering",
          "is_bot": false,
          "headline": "Merge pull request #2066 from maziyarpanahi/feature/v21-child-1308",
          "author_name": "Maziyar Panahi",
          "author_login": "maziyarpanahi",
          "committed_at": "2026-08-02T23:35:46Z",
          "body_truncated": false,
          "is_coding_agent": false
        },
        {
          "oid": "19d1880193b097958f9d644677b323c2c0ab82b8",
          "body": "Add MCP clinical workflow discovery and golden fixture",
          "is_bot": false,
          "headline": "Merge pull request #2052 from maziyarpanahi/feature/v21-child-1303",
          "author_name": "Maziyar Panahi",
          "author_login": "maziyarpanahi",
          "committed_at": "2026-08-02T23:35:11Z",
          "body_truncated": false,
          "is_coding_agent": false
        },
        {
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          "body": null,
          "is_bot": false,
          "headline": "Merge remote-tracking branch 'origin/master' into feature/v21-child-1303",
          "author_name": "Maziyar Panahi",
          "author_login": "maziyarpanahi",
          "committed_at": "2026-08-02T22:53:01Z",
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        },
        {
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          "body": "…line-mapping\n\nImplement OncoTree tumor-type mapping",
          "is_bot": false,
          "headline": "Merge pull request #2058 from mrfeathers/feature/om-1836-oncotree-off…",
          "author_name": "Maziyar Panahi",
          "author_login": "maziyarpanahi",
          "committed_at": "2026-08-02T22:49:30Z",
          "body_truncated": false,
          "is_coding_agent": false
        },
        {
          "oid": "7b8a79f60c58e76a31edf2315b2089c281b00552",
          "body": "Decode temporal TLINKs into a consistent reduced graph",
          "is_bot": false,
          "headline": "Merge pull request #2064 from maziyarpanahi/feature/v21-child-1307",
          "author_name": "Maziyar Panahi",
          "author_login": "maziyarpanahi",
          "committed_at": "2026-08-02T22:08:18Z",
          "body_truncated": false,
          "is_coding_agent": false
        },
        {
          "oid": "bce4e233a2fbeb2e508c765f6424d28508707ea6",
          "body": "…cation-risk-report\n\nPreserve prediction spans in re-identification risk reports",
          "is_bot": false,
          "headline": "Merge pull request #2065 from maziyarpanahi/feature/om-009-reidentifi…",
          "author_name": "Maziyar Panahi",
          "author_login": "maziyarpanahi",
          "committed_at": "2026-08-02T22:07:41Z",
          "body_truncated": false,
          "is_coding_agent": false
        },
        {
          "oid": "51ebd2e4e9ff432437980b74a7dd1e580f0a1e29",
          "body": null,
          "is_bot": false,
          "headline": "chore: finalize OncoTree changelog placement",
          "author_name": "Maziyar Panahi",
          "author_login": "maziyarpanahi",
          "committed_at": "2026-08-02T22:07:26Z",
          "body_truncated": false,
          "is_coding_agent": false
        },
        {
          "oid": "e66f961ae03e08de5e40ef27abd793e6d8297a0e",
          "body": null,
          "is_bot": false,
          "headline": "Merge branch 'master' into feature/om-1836-oncotree-offline-mapping",
          "author_name": "Maziyar Panahi",
          "author_login": "maziyarpanahi",
          "committed_at": "2026-08-02T22:06:29Z",
          "body_truncated": false,
          "is_coding_agent": false
        },
        {
          "oid": "0fe138da00273c353470b9e5c7c846d808fbe731",
          "body": null,
          "is_bot": false,
          "headline": "chore: prepare changelog for branch update",
          "author_name": "Maziyar Panahi",
          "author_login": "maziyarpanahi",
          "committed_at": "2026-08-02T22:00:25Z",
          "body_truncated": false,
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        },
        {
          "oid": "d693074038af4c429951303284c18a503bdbce07",
          "body": null,
          "is_bot": false,
          "headline": "feat: complete OncoTree mapping contract",
          "author_name": "Maziyar Panahi",
          "author_login": "maziyarpanahi",
          "committed_at": "2026-08-02T21:59:14Z",
          "body_truncated": false,
          "is_coding_agent": false
        },
        {
          "oid": "9ed66eec5ba6f2b78344624227747a846a099a4e",
          "body": "* feat: add canonical callable schema registry\n\n* fix: preserve canonical tool validation contracts\n\n---------\n\nCo-authored-by: Maziyar Panahi <5762953+maziyarpanahi@users.noreply.github.com>",
          "is_bot": false,
          "headline": "Add a canonical callable schema registry (#2050)",
          "author_name": "Maziyar Panahi",
          "author_login": "maziyarpanahi",
          "committed_at": "2026-08-02T21:50:38Z",
          "body_truncated": false,
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        },
        {
          "oid": "44fc4502f9a1d25137ca2114ae57342e812041b9",
          "body": "…s (#2005)\n\nAdds an explicit optional YASBD backend while preserving the existing auto/default routing and core dependency set.\n\nCloses #1848",
          "is_bot": false,
          "headline": "feat: add yasbd backend options for sentence segmentation and analysi…",
          "author_name": "Speed K",
          "author_login": "speedyk-005",
          "committed_at": "2026-08-02T21:24:54Z",
          "body_truncated": false,
          "is_coding_agent": false
        },
        {
          "oid": "c0899ccb0835c78e6929a66b5050473afcf0570c",
          "body": null,
          "is_bot": false,
          "headline": "feat: expose privacy-safe event timeline ordering",
          "author_name": "Maziyar Panahi",
          "author_login": "maziyarpanahi",
          "committed_at": "2026-08-02T21:10:19Z",
          "body_truncated": false,
          "is_coding_agent": false
        },
        {
          "oid": "edac3ab90a3166c2836935b82ef035d17676b73f",
          "body": null,
          "is_bot": false,
          "headline": "fix: preserve risk report span inputs",
          "author_name": "Maziyar Panahi",
          "author_login": "maziyarpanahi",
          "committed_at": "2026-08-02T20:53:47Z",
          "body_truncated": false,
          "is_coding_agent": false
        },
        {
          "oid": "c02e3daf8172271dc918320e20532c2e4b00cff0",
          "body": "* Wire daily release gate orchestration\n\n* fix: make wall-time budget test deterministic\n\n---------\n\nCo-authored-by: Maziyar Panahi <5762953+maziyarpanahi@users.noreply.github.com>",
          "is_bot": false,
          "headline": "Wire daily release gates into staged promotion and rollback (#2045)",
          "author_name": "Maziyar Panahi",
          "author_login": "maziyarpanahi",
          "committed_at": "2026-08-02T20:29:36Z",
          "body_truncated": false,
          "is_coding_agent": false
        },
        {
          "oid": "cba3e362bf51c7512b36ab86a728146acc1309e2",
          "body": "…tl-loader\n\nComplete OMOP CDM vocabulary-aware loading",
          "is_bot": false,
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            "notes": [],
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                "code": "excluded_no_data",
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              {
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            "value": 100,
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                "key": "pr_acceptance",
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                "key": "openssf_scorecard_code_review",
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                "key": "owner_reach",
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                "status": "met",
                "details": [],
                "max_points": 10
              }
            ]
          }
        ],
        "description": "Are baseline engineering and documentation practices in place?"
      },
      {
        "key": "security",
        "band": "moderate",
        "name": "Security",
        "value": 62,
        "weight": 0.16,
        "metrics": [
          {
            "key": "security_posture",
            "band": "moderate",
            "name": "Security posture",
            "note": null,
            "notes": [],
            "value": 52,
            "inputs": {
              "source": "openssf_scorecard",
              "checks_evaluated": 18,
              "scorecard_version": "v5.5.0",
              "checks_inconclusive": 0,
              "scorecard_aggregate": 5.2
            },
            "components": [
              {
                "key": "binary_artifacts",
                "name": "Binary-Artifacts",
                "detail": "binaries present in source code",
                "points": 6.8,
                "status": "partial",
                "details": [],
                "max_points": 7.5
              },
              {
                "key": "branch_protection",
                "name": "Branch-Protection",
                "detail": "branch protection not enabled on development/release branches",
                "points": 0,
                "status": "missed",
                "details": [],
                "max_points": 7.5
              },
              {
                "key": "ci_tests",
                "name": "CI-Tests",
                "detail": "16 out of 16 merged PRs checked by a CI test -- score normalized to 10",
                "points": 2.5,
                "status": "met",
                "details": [],
                "max_points": 2.5
              },
              {
                "key": "cii_best_practices",
                "name": "CII-Best-Practices",
                "detail": "no effort to earn an OpenSSF best practices badge detected",
                "points": 0,
                "status": "missed",
                "details": [],
                "max_points": 2.5
              },
              {
                "key": "code_review",
                "name": "Code-Review",
                "detail": "Found 0/16 approved changesets -- score normalized to 0",
                "points": 0,
                "status": "missed",
                "details": [],
                "max_points": 7.5
              },
              {
                "key": "contributors",
                "name": "Contributors",
                "detail": "project has 8 contributing companies or organizations",
                "points": 2.5,
                "status": "met",
                "details": [],
                "max_points": 2.5
              },
              {
                "key": "dangerous_workflow",
                "name": "Dangerous-Workflow",
                "detail": "no dangerous workflow patterns detected",
                "points": 10,
                "status": "met",
                "details": [],
                "max_points": 10
              },
              {
                "key": "dependency_update_tool",
                "name": "Dependency-Update-Tool",
                "detail": "update tool detected",
                "points": 7.5,
                "status": "met",
                "details": [],
                "max_points": 7.5
              },
              {
                "key": "fuzzing",
                "name": "Fuzzing",
                "detail": "project is fuzzed",
                "points": 5,
                "status": "met",
                "details": [],
                "max_points": 5
              },
              {
                "key": "license",
                "name": "License",
                "detail": "license file detected",
                "points": 2.5,
                "status": "met",
                "details": [],
                "max_points": 2.5
              },
              {
                "key": "maintained",
                "name": "Maintained",
                "detail": "30 commit(s) and 30 issue activity found in the last 90 days -- score normalized to 10",
                "points": 7.5,
                "status": "met",
                "details": [],
                "max_points": 7.5
              },
              {
                "key": "packaging",
                "name": "Packaging",
                "detail": "packaging workflow detected",
                "points": 5,
                "status": "met",
                "details": [],
                "max_points": 5
              },
              {
                "key": "pinned_dependencies",
                "name": "Pinned-Dependencies",
                "detail": "dependency not pinned by hash detected -- score normalized to 0",
                "points": 0,
                "status": "missed",
                "details": [],
                "max_points": 5
              },
              {
                "key": "sast",
                "name": "SAST",
                "detail": "SAST tool is not run on all commits -- score normalized to 0",
                "points": 0,
                "status": "missed",
                "details": [],
                "max_points": 5
              },
              {
                "key": "security_policy",
                "name": "Security-Policy",
                "detail": "security policy file detected",
                "points": 5,
                "status": "met",
                "details": [],
                "max_points": 5
              },
              {
                "key": "signed_releases",
                "name": "Signed-Releases",
                "detail": "1 out of the last 5 releases have a total of 1 signed artifacts.",
                "points": 0.8,
                "status": "partial",
                "details": [],
                "max_points": 7.5
              },
              {
                "key": "token_permissions",
                "name": "Token-Permissions",
                "detail": "detected GitHub workflow tokens with excessive permissions",
                "points": 0,
                "status": "missed",
                "details": [],
                "max_points": 7.5
              },
              {
                "key": "vulnerabilities",
                "name": "Vulnerabilities",
                "detail": "36 existing vulnerabilities detected",
                "points": 0,
                "status": "missed",
                "details": [],
                "max_points": 7.5
              }
            ]
          },
          {
            "key": "dependency_advisories",
            "band": "exceptional",
            "name": "Dependency advisories",
            "note": "Excluded from scoring (no data or not applicable): No advisories left outstanding. Remaining weights renormalized. Matched the pypi:openmed@2.0.0 runtime dependency closure — what installing the published package pulls in — 4 packages. Reachability is not analyzed.",
            "notes": [
              {
                "code": "excluded_no_data",
                "params": {
                  "components": [
                    "no_advisories_left_outstanding"
                  ]
                }
              },
              {
                "code": "weights_renormalized",
                "params": {}
              },
              {
                "code": "advisories_scope_published",
                "params": {
                  "package": "pypi:openmed@2.0.0",
                  "assessed": 4
                }
              },
              {
                "code": "advisories_reachability",
                "params": {}
              }
            ],
            "value": 100,
            "inputs": {
              "source": "osv",
              "advisories": 0,
              "affected_packages": 0,
              "assessed_packages": 4,
              "unassessed_packages": 0,
              "affected_by_severity": "none",
              "direct_affected_packages": 0
            },
            "components": [
              {
                "key": "direct_dependencies_free_of_known_advisories",
                "name": "Direct dependencies free of known advisories",
                "detail": "no direct dependency carries a known advisory",
                "points": 35,
                "status": "met",
                "details": [
                  {
                    "code": "no_direct_advisories",
                    "params": {}
                  }
                ],
                "max_points": 35
              },
              {
                "key": "indirect_dependencies_free_of_known_advisories",
                "name": "Indirect dependencies free of known advisories",
                "detail": "no indirect dependency carries a known advisory",
                "points": 25,
                "status": "met",
                "details": [
                  {
                    "code": "no_indirect_advisories",
                    "params": {}
                  }
                ],
                "max_points": 25
              },
              {
                "key": "no_advisories_left_outstanding",
                "name": "No advisories left outstanding",
                "detail": "no advisory carries a publication date",
                "points": 0,
                "status": "excluded",
                "details": [
                  {
                    "code": "advisories_no_publication_date",
                    "params": {}
                  }
                ],
                "max_points": 40
              }
            ]
          },
          {
            "key": "malicious_dependencies",
            "band": "exceptional",
            "name": "Malicious dependencies",
            "note": null,
            "notes": [],
            "value": 100,
            "inputs": {
              "source": "osv",
              "meaning": "reported as a malicious package by the OpenSSF corpus; the remedy is removal or moving off the compromised name, never an upgrade of the same artifact. Versions the registry has since pulled are listed but not scored",
              "packages": [],
              "red_flag": false,
              "assessed_packages": 4,
              "malicious_packages": 0,
              "direct_malicious_packages": 0,
              "withdrawn_malicious_packages": 0,
              "installable_malicious_packages": 0
            },
            "components": [
              {
                "key": "no_dependency_reported_as_a_malicious_package",
                "name": "No dependency reported as a malicious package",
                "detail": "no dependency is reported as a malicious package",
                "points": 100,
                "status": "met",
                "details": [
                  {
                    "code": "no_malicious_dependencies",
                    "params": {}
                  }
                ],
                "max_points": 100
              }
            ]
          },
          {
            "key": "high_risk_jurisdiction_exposure",
            "band": "exceptional",
            "name": "High-Risk Jurisdiction Exposure",
            "note": "Only high-confidence self-published location evidence affects this multiplier. Ambiguous matches are review-only; country evidence is not proof of nationality, citizenship, legal registration, malicious intent, or sanctions status.",
            "notes": [
              {
                "code": "jurisdiction_evidence_limits",
                "params": {}
              }
            ],
            "value": 100,
            "inputs": {
              "meaning": "self-published location evidence; not nationality or citizenship",
              "red_flag": false,
              "exposures": [],
              "policy_countries": [
                "Russia",
                "Iran",
                "North Korea"
              ],
              "commit_weight_rule": {
                "min_commits": 50,
                "min_commit_share": 0.1
              },
              "review_only_matches": 0,
              "below_threshold_exposures": [],
              "assessed_self_published_locations": 10
            },
            "components": [
              {
                "key": "policy_exposure_multiplier",
                "name": "Policy exposure multiplier",
                "detail": "no confirmed policy-scope location match",
                "points": 100,
                "status": "met",
                "details": [
                  {
                    "code": "jurisdiction_no_match",
                    "params": {}
                  }
                ],
                "max_points": 100
              }
            ]
          }
        ],
        "description": "Are visible security and supply-chain practices strong, with no malicious dependency and no unresolved high-risk jurisdiction exposure?"
      },
      {
        "key": "ai_readiness",
        "band": "excellent",
        "name": "AI Readiness",
        "value": 83,
        "weight": 0.04,
        "metrics": [
          {
            "key": "ai_agent_context",
            "band": "excellent",
            "name": "Agent context & guidance",
            "note": null,
            "notes": [],
            "value": 85,
            "inputs": {
              "has_llms_txt": false,
              "legible_history_share": 0.87,
              "agent_instruction_files": [
                "AGENTS.md"
              ],
              "agent_instruction_max_bytes": 7963
            },
            "components": [
              {
                "key": "agent_instructions",
                "name": "Agent instructions",
                "detail": "AGENTS.md",
                "points": 45,
                "status": "met",
                "details": [
                  {
                    "code": "file_list",
                    "params": {
                      "files": "AGENTS.md"
                    }
                  }
                ],
                "max_points": 45
              },
              {
                "key": "machine_readable_docs_llms_txt",
                "name": "Machine-readable docs (llms.txt)",
                "detail": null,
                "points": 0,
                "status": "missed",
                "details": [],
                "max_points": 15
              },
              {
                "key": "legible_commit_history",
                "name": "Legible commit history",
                "detail": "87 of 100 human commits state their intent (structured subject or explanatory body)",
                "points": 40,
                "status": "met",
                "details": [
                  {
                    "code": "legible_history",
                    "params": {
                      "legible": 87,
                      "sampled": 100
                    }
                  }
                ],
                "max_points": 40
              }
            ]
          },
          {
            "key": "ai_verify_loop",
            "band": "good",
            "name": "Verify loop (build / test / typecheck)",
            "note": null,
            "notes": [],
            "value": 77,
            "inputs": {
              "has_nix": true,
              "has_tests": true,
              "lockfiles": [
                "package-lock.json",
                "uv.lock"
              ],
              "has_dockerfile": true,
              "typed_language": false,
              "bootstrap_files": [
                "Makefile"
              ],
              "has_devcontainer": false,
              "has_linter_config": true,
              "typecheck_configs": [
                "clients/typescript/tsconfig.json",
                "js/openmedkit-react-native/tsconfig.json",
                "js/openmedkit-web/tsconfig.json",
                "openmed/py.typed"
              ],
              "agent_commit_share": 0,
              "toolchain_manifests": [
                "android/OpenMedDemo/app/build.gradle.kts",
                "android/OpenMedScanDemo/app/build.gradle.kts",
                "android/build.gradle.kts",
                "android/openmedkit/build.gradle.kts",
                "clients/go/go.mod"
              ],
              "dependency_bot_commit_share": 0
            },
            "components": [
              {
                "key": "one_command_bootstrap",
                "name": "One-command bootstrap",
                "detail": "Makefile",
                "points": 18,
                "status": "met",
                "details": [
                  {
                    "code": "file_list",
                    "params": {
                      "files": "Makefile"
                    }
                  }
                ],
                "max_points": 18
              },
              {
                "key": "automated_tests",
                "name": "Automated tests",
                "detail": null,
                "points": 22,
                "status": "met",
                "details": [],
                "max_points": 22
              },
              {
                "key": "lint_format_config",
                "name": "Lint / format config",
                "detail": null,
                "points": 11,
                "status": "met",
                "details": [],
                "max_points": 11
              },
              {
                "key": "static_type_checking",
                "name": "Static type checking",
                "detail": "clients/typescript/tsconfig.json, js/openmedkit-react-native/tsconfig.json, js/openmedkit-web/tsconfig.json, openmed/py.typed",
                "points": 11,
                "status": "met",
                "details": [
                  {
                    "code": "file_list",
                    "params": {
                      "files": "clients/typescript/tsconfig.json, js/openmedkit-react-native/tsconfig.json, js/openmedkit-web/tsconfig.json, openmed/py.typed"
                    }
                  }
                ],
                "max_points": 11
              },
              {
                "key": "reproducible_environment",
                "name": "Reproducible environment",
                "detail": "Dockerfile, Nix, lockfile",
                "points": 10,
                "status": "met",
                "details": [
                  {
                    "code": "file_list",
                    "params": {
                      "files": "Dockerfile, Nix, lockfile"
                    }
                  }
                ],
                "max_points": 10
              },
              {
                "key": "demonstrated_agent_practice",
                "name": "Demonstrated agent practice",
                "detail": "no agent-authored commits among the last 100",
                "points": 0,
                "status": "missed",
                "details": [
                  {
                    "code": "no_agent_authored_commits",
                    "params": {
                      "sampled": 100
                    }
                  }
                ],
                "max_points": 10
              },
              {
                "key": "automated_maintenance",
                "name": "Automated maintenance",
                "detail": "dependency automation configured, none observed in the sampled commits",
                "points": 5,
                "status": "partial",
                "details": [
                  {
                    "code": "dependency_bot_config_only",
                    "params": {}
                  }
                ],
                "max_points": 8
              },
              {
                "key": "openssf_scorecard_pinned_dependencies",
                "name": "OpenSSF Scorecard: Pinned-Dependencies",
                "detail": "dependency not pinned by hash detected -- score normalized to 0",
                "points": 0,
                "status": "missed",
                "details": [],
                "max_points": 10
              }
            ]
          },
          {
            "key": "ai_code_legibility",
            "band": "excellent",
            "name": "Code legibility for models",
            "note": null,
            "notes": [],
            "value": 81,
            "inputs": {
              "primary_language": "Python",
              "largest_source_bytes": 365758,
              "source_files_sampled": 1440,
              "oversized_source_files": 28
            },
            "components": [
              {
                "key": "type_checkable_code",
                "name": "Type-checkable code",
                "detail": "Python with type-check config (clients/typescript/tsconfig.json, js/openmedkit-react-native/tsconfig.json, js/openmedkit-web/tsconfig.json, openmed/py.typed)",
                "points": 27,
                "status": "partial",
                "details": [
                  {
                    "code": "typecheck_config_language",
                    "params": {
                      "files": "clients/typescript/tsconfig.json, js/openmedkit-react-native/tsconfig.json, js/openmedkit-web/tsconfig.json, openmed/py.typed",
                      "language": "Python"
                    }
                  }
                ],
                "max_points": 45
              },
              {
                "key": "manageable_file_sizes",
                "name": "Manageable file sizes",
                "detail": "28/1440 source files over 60KB",
                "points": 53.9,
                "status": "partial",
                "details": [
                  {
                    "code": "oversized_source_files",
                    "params": {
                      "kb": 60,
                      "sampled": 1440,
                      "oversized": 28
                    }
                  }
                ],
                "max_points": 55
              }
            ]
          },
          {
            "key": "ai_interfaces",
            "band": "exceptional",
            "name": "Machine-readable interfaces",
            "note": null,
            "notes": [],
            "value": 100,
            "inputs": {
              "example_dirs": [
                "examples",
                "notebooks"
              ],
              "has_mcp_signal": true,
              "api_schema_files": [
                "docs/api/openapi.json",
                "openmed/service/proto/openmed.proto"
              ]
            },
            "components": [
              {
                "key": "api_schema_openapi_graphql_proto",
                "name": "API schema (OpenAPI/GraphQL/proto)",
                "detail": "docs/api/openapi.json, openmed/service/proto/openmed.proto",
                "points": 40,
                "status": "met",
                "details": [
                  {
                    "code": "file_list",
                    "params": {
                      "files": "docs/api/openapi.json, openmed/service/proto/openmed.proto"
                    }
                  }
                ],
                "max_points": 40
              },
              {
                "key": "mcp_server",
                "name": "MCP server",
                "detail": null,
                "points": 20,
                "status": "met",
                "details": [],
                "max_points": 20
              },
              {
                "key": "runnable_examples",
                "name": "Runnable examples",
                "detail": "examples, notebooks",
                "points": 40,
                "status": "met",
                "details": [
                  {
                    "code": "file_list",
                    "params": {
                      "files": "examples, notebooks"
                    }
                  }
                ],
                "max_points": 40
              }
            ]
          }
        ],
        "description": "How well is the repo equipped to be developed and maintained with AI coding agents? Carries a deliberately small weight: agent tooling is a real maintenance signal, but its absence must never gate the top of the scale (calibration saturates at raw 91, so 100/100 remains reachable with AI Readiness at zero)."
      }
    ],
    "classification": {
      "top": [
        "library",
        "application"
      ],
      "labels": [
        "network-service",
        "cli",
        "mobile",
        "library"
      ],
      "scores": {
        "cli": 10,
        "mobile": 6,
        "library": 6,
        "mcp-server": 3,
        "network-service": 10
      },
      "primary": "network-service",
      "evidence": [
        {
          "tier": "declared",
          "label": "cli",
          "source": "pypi.console_scripts",
          "weight": 10
        },
        {
          "tier": "distribution",
          "label": "library",
          "source": "registry:pypi",
          "weight": 6
        },
        {
          "tier": "structure",
          "label": "mobile",
          "source": "tree.android_manifest",
          "weight": 6
        },
        {
          "tier": "structure",
          "label": "network-service",
          "source": "tree.helm",
          "weight": 4
        },
        {
          "tier": "structure",
          "label": "mcp-server",
          "source": "mcp_signal",
          "weight": 3
        },
        {
          "tier": "structure",
          "label": "network-service",
          "source": "api_schema",
          "weight": 3
        },
        {
          "tier": "structure",
          "label": "network-service",
          "source": "tree.compose",
          "weight": 3
        }
      ],
      "artifacts": [
        {
          "path": "pyproject.toml",
          "labels": [
            "cli"
          ],
          "ecosystem": "pypi"
        }
      ],
      "confidence": "medium",
      "host_extension": false,
      "runs_as_process": true,
      "consumed_by_code": true
    },
    "metrics_version": "2.5.0"
  },
  "warnings": [
    "Star history unavailable: GitHub GraphQL error: Resource not accessible by personal access token",
    "GitHub dependency-graph SBOM unavailable (404); the dependency graph may be disabled for this repository"
  ],
  "report_type": "repository",
  "generated_at": "2026-08-04T02:14:33.635247Z",
  "schema_version": "0.30.0",
  "badge_url": "https://raw.githubusercontent.com/inspect-software/badges/main/v1/m/maziyarpanahi/openmed.svg",
  "full_name": "maziyarpanahi/openmed",
  "license_state": "standard",
  "license_spdx": "Apache-2.0"
}

Оцінки — це сигнали, а не гарантії. Вони відображають публічно видимі практики на GitHub — це не аудит коду й не гарантія безпеки.

Відсутні дані виключаються, а ваги перенормовуються — нуль за відсутність ніколи не ставиться. Методологія версіонована й відкрита: метрики v2.5.0, схема v0.30.0 — повна методологія · вікі метрик.

Як окремий результат виглядає на тлі всього реєстру: сукупна статистикаPyPI.