Публічний реєстрУ зоні ризику
Звіт про здоров'я програмного забезпеченнясхема 0.27.0 · метрики 1.13.0 · 2026-07-31 04:46 UTC
mosaicml / examples
Fast and flexible reference benchmarks
mosaicml/examples має індекс здоров’я 49 зі 100, що відповідає смузі «У зоні ризику». Найвищий показник — Sustainability & Governance (76/100), найнижчий — Security (21/100). Останнє оновлення було 127 днів тому. Більшість нещодавньої роботи виконують 4 учасники.
49
загалом / 100Індекс здоров'я програмного забезпечення
Метрики згруповано у зважені категорії на шкалі 1–100. Загальна оцінка починається як їхнє середнє; коли публічні дані активують Політику юрисдикцій високого ризику, рейтинг коригується й отримує верхню межу 49 («Під ризиком»). Готовність до ШІ не входить до індексу.
49
Відмінний85-100Зразковий; відповідає практично всім перевіреним критеріям
Добрий70-84Здоровий; незначні прогалини
Помірний50-69Прийнятний, але з помітними прогалинами; рекомендовано перевірку
У зоні ризику30-49Суттєві слабкі місця; впровадження потребує обережності
Критичний1-29Серйозні проблеми (покинутий, єдиний мейнтейнер, без базової гігієни)
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.
Власність
Databricks Mosaic ResearchОрганізація
1 098 підписників7 публічних репозиторіївз лист. 2020 р.
За цим репозиторієм стоїть організація — спільна, підзвітна опіка, здатна пережити будь-якого окремого мейнтейнера.
Метрики за категоріями
Життєздатність
Чи живий проєкт — чи пишеться код і чи виходять релізи?
30
Активність розробки
15Критичний
Як обчислюється оцінка
| 9.9/36 | Свіжість push — останній push 127 дн. тому |
| 0.7/36 | Ритм комітів — 1/52 тижнів із комітами |
| 2.7/18 | Обсяг комітів — 1 комітів за останній рік |
| 0/10 | OpenSSF Scorecard: Maintained — немає даних |
Використані вхідні дані
| commits_last_year | 1 |
| human_commit_share | 1 |
| days_since_last_push | 127 |
| active_weeks_last_year | 1 |
Дисципліна релізів
52Помірний
Як обчислюється оцінка
| 27/27 | Випускає релізи — опубліковано 2 релізів |
| 0/36 | Свіжість релізів — останній реліз 1 207 дн. тому |
| 19.8/27 | Ритм релізів — реліз кожні ~55 дн. |
| 0/10 | OpenSSF Scorecard: Signed-Releases — немає даних |
Використані вхідні дані
| releases_count | 2 |
| latest_release_tag | v0.0.4 |
| releases_from_tags | ні |
| days_since_latest_release | 1 207 |
| mean_days_between_releases | 55 |
Спільнота та впровадження
Чи має проєкт користувачів, завантаження, увагу та влаштовані умови для контриб’юторів?
59
Популярність і впровадження
67Помірний
Як обчислюється оцінка
| 43.3/60 | Зірки — 466 зірок |
| 17.7/25 | Форки — 133 форків |
| 5.8/15 | Спостерігачі — 12 спостерігачів |
Використані вхідні дані
| forks | 133 |
| stars | 466 |
| watchers | 12 |
| growth_state | unverified |
| growth_factor_pct | 100 |
| growth_unverified_reason | no_history |
Здоров'я спільноти
50Помірний
Як обчислюється оцінка
| 22.5/22.5 | README |
| 22.5/22.5 | Ліцензія — визнана ліцензія (Apache-2.0) |
| 0/18 | Настанови CONTRIBUTING |
| 0/13.5 | Кодекс поведінки |
| 0/7.2 | Шаблон issue |
| 0/6.3 | Шаблон PR |
Використані вхідні дані
| has_readme | так |
| has_license | так |
| has_contributing | ні |
| has_issue_template | ні |
| has_code_of_conduct | ні |
| has_pull_request_template | ні |
Сталість та врядування
Чи переживе проєкт своїх людей — бас-фактор, реактивність, хто за ним стоїть і як супроводжуються пакети?
76
Як обчислюється оцінка
| 43.2/54 | Бас-фактор — на 4 контриб’ютор(ів) припадає половина всіх комітів |
| 18.7/22.5 | Розподіл комітів — головний контриб’ютор — автор 17% комітів |
| 13.5/13.5 | Широта контриб’юторів — 36 контриб’юторів |
| 0/10 | OpenSSF Scorecard: Contributors — немає даних |
Використані вхідні дані
| bus_factor | 4 |
| contributors_sampled | 36 |
| top_contributor_share | 0,167 |
Реактивність на issue та PR
72Добрий
Як обчислюється оцінка
| 29.4/46.8 | Вирішення issue — закрито 63% issue |
| 32/38.3 | Прийняття PR — злито 337/403 вирішених PR |
| 0/15 | OpenSSF Scorecard: Code-Review — немає даних |
Використані вхідні дані
| merged_prs | 337 |
| open_issues | 16 |
| closed_issues | 27 |
| issue_closed_ratio | 0,628 |
| closed_unmerged_prs | 66 |
Власність та опіка
70Добрий
Як обчислюється оцінка
| 30/30 | Підтримка власника — у власності організації |
| 0/20 | Верифікований домен |
| 21.9/25 | Охоплення власника — 1 098 підписників у mosaicml |
| 17.9/25 | Послужний список — 7 публічних репозиторіїв, вік облікового запису ~5 р. |
Використані вхідні дані
| followers | 1 098 |
| owner_type | Organization |
| is_verified | — |
| owner_login | mosaicml |
| public_repos | 7 |
| account_age_days | 2 071 |
Інженерна якість
Чи наявні базові інженерні практики та документація?
53
Інженерні практики
62Помірний
Як обчислюється оцінка
| 0/24 | Процеси CI |
| 24/24 | Наявні тести |
| 16/16 | Конфігурація лінтера |
| 9.6/9.6 | Pre-commit-хуки |
| 0/6.4 | .editorconfig |
| 0/20 | OpenSSF Scorecard: CI-Tests — немає даних |
Використані вхідні дані
| has_ci | ні |
| has_tests | так |
| has_editorconfig | ні |
| has_linter_config | так |
| has_precommit_config | так |
Документація
40У зоні ризику
Як обчислюється оцінка
| 30/30 | README |
| 0/25 | Каталог документації |
| 0/15 | Сайт документації / домашня сторінка |
| 10/10 | Опис репозиторію |
| 0/10 | Теми |
| 0/10 | Wiki |
Використані вхідні дані
| topics | — |
| has_wiki | ні |
| homepage | — |
| has_readme | так |
| has_docs_dir | ні |
| has_description | так |
Безпека
Чи міцні видимі практики безпеки й ланцюга постачання, без непослабленої пов’язаності з юрисдикціями високого ризику?
21
Стан безпеки
1Критичний
Як обчислюється оцінка
| 0/30 | Політика безпеки (SECURITY.md) |
| 0/25 | Конфігурація Dependabot |
| 0/25 | Файли фіксації залежностей |
| 0/20 | Процес CodeQL |
Використані вхідні дані
| source | file_signals |
| lockfiles | — |
| manifests | pyproject.toml |
| has_codeql_workflow | ні |
| has_security_policy | ні |
| has_dependabot_config | ні |
Сповіщення про залежності
100Відмінний
Як обчислюється оцінка
| 35/35 | Прямі залежності без відомих сповіщень — жодна пряма залежність не має відомих сповіщень |
| 0/25 | Непрямі залежності без відомих сповіщень — транзитивний набір не відокремлюється від залежностей розробки й тестування в цьому обсязі |
| 0/40 | Немає задавнених сповіщень — жодне сповіщення не має дати публікації |
Використані вхідні дані
| source | osv |
| advisories | 308 |
| affected_packages | 10 |
| assessed_packages | 28 |
| unassessed_packages | 6 |
| affected_by_severity | critical 3, high 3, moderate 1, unknown 3 |
| direct_affected_packages | 0 |
Виключено з оцінювання (немає даних або не застосовно): Непрямі залежності без відомих сповіщень, Немає задавнених сповіщень. Залишкові ваги перенормовано. Звірено 28 резолвлених залежностей із OSV. 6 не вдалося оцінити — немає резолвленої версії, непідтримувана екосистема або поза межами звітованого переліку пакетів. Цей репозиторій не публікує пакета, який резолвить індекс, тож натомість оцінено граф залежностей репозиторію. Цей граф змішує закріплені версії для розробки й тестування зі справді постачаними залежностями, тож оцінюються лише задекларовані runtime-залежності; транзитивні знахідки подаються як контекст і в оцінку не входять. Досяжність не аналізується.
Готовність до ШІ
Наскільки репозиторій оснащений для розробки та супроводу за участі ШІ-агентів? Незалежний, експериментальний бейдж — вага 0.0, тож він подається окремо і не впливає на загальний індекс здоров'я.
41
Контекст і настанови для агентів
40У зоні ризику
Як обчислюється оцінка
| 0/45 | Інструкції для агентів — немає CLAUDE.md / AGENTS.md / правил редактора |
| 0/15 | Машиночитана документація (llms.txt) |
| 40/40 | Читабельна історія комітів — намір зазначено у 93 з 100 людських комітів (структурований заголовок або пояснювальний текст) |
Використані вхідні дані
| has_llms_txt | ні |
| legible_history_share | 0,93 |
| agent_instruction_files | — |
| agent_instruction_max_bytes | — |
Цикл верифікації (збірка / тести / перевірка типів)
37У зоні ризику
Як обчислюється оцінка
| 0/18 | Розгортання однією командою |
| 22/22 | Автоматизовані тести |
| 11/11 | Конфігурація лінтера / форматера |
| 0/11 | Статична перевірка типів |
| 0/10 | Відтворюване середовище |
| 0/10 | Підтверджена практика роботи з агентами — серед останніх 100 комітів немає створених агентом |
| 0/8 | Автоматизоване супроводження — автоматичних оновлень залежностей не виявлено |
| 0/10 | OpenSSF Scorecard: Pinned-Dependencies — немає даних |
Використані вхідні дані
| has_nix | ні |
| has_tests | так |
| lockfiles | — |
| has_dockerfile | ні |
| typed_language | ні |
| bootstrap_files | — |
| has_devcontainer | ні |
| has_linter_config | так |
| typecheck_configs | — |
| agent_commit_share | 0 |
| toolchain_manifests | — |
| dependency_bot_commit_share | 0 |
Читабельність коду для моделей
55Помірний
Як обчислюється оцінка
| 0/45 | Типізований код — Shell без конфігурації перевірки типів |
| 55/55 | Керовані розміри файлів — 0/81 файлів вихідного коду понад 60 КБ |
Використані вхідні дані
| primary_language | Shell |
| largest_source_bytes | 47 605 |
| source_files_sampled | 81 |
| oversized_source_files | 0 |
Машиночитні інтерфейси
40У зоні ризику
Як обчислюється оцінка
| 0/40 | Схема API (OpenAPI/GraphQL/proto) |
| 0/20 | Сервер MCP |
| 40/40 | Придатні до запуску приклади — examples, notebooks |
Використані вхідні дані
| example_dirs | examples, notebooks |
| has_mcp_signal | ні |
| api_schema_files | — |
Ключові факти
466зірок GitHub
36контриб'юторів
1комітів за останні 12 місяців
127днів від останнього пушу
2релізів
4бас-фактор
16відкритих issue
PyPIпакетних екосистем
Попередження щодо збору даних
- Star history unavailable: GitHub GraphQL error: Resource not accessible by personal access token
- Advisory severity resolved for 120 of 189 advisories (lookup cap); the remainder are reported as unknown severity
- OpenSSF Scorecard did not return a usable result (2026/07/31 04:46:01 Warning: PATs stored in env variables GITHUB_AUTH_TOKEN and GITHUB_TOKEN differ. Scorecard will use the former.); skipping Scorecard checks
Докладніше
Історія зірок і форків 0 ★ / 133 ⇿
0Зірки
133Форки
2Релізи
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.
Мажорні 0Мінорні 0Патчі 2
Кожна точка охоплює 4 днів.
Усі залежності 34
Повний розв'язаний набір залежностей із графа залежностей GitHub: 0 прямих і 34 непрямих (транзитивних) пакетів. Транзитивне замикання є повним, коли в репозиторії закомічено lockfile.
| Реєстр | Пакет | Версія | Зв'язок |
|---|---|---|---|
| PyPI | boto3 | 1.26.134 | непряма |
| PyPI | botocore | 1.29.154 | непряма |
| PyPI | composer | 0.14.1 | непряма |
| PyPI | composer | 0.15.0 | непряма |
| PyPI | composer | 0.15.1 | непряма |
| PyPI | datasets | 2.14.6 | непряма |
| PyPI | diffusers | 0.11.1 | непряма |
| PyPI | einops | 0.5.0 | непряма |
| PyPI | faiss-cpu | 1.7.4 | непряма |
| PyPI | gradio | 3.33.1 | непряма |
| PyPI | instructorembedding | 1.0.0 | непряма |
| PyPI | langchain | 0.0.205 | непряма |
| PyPI | mmsegmentation | 0.22.0 | непряма |
| PyPI | mosaicml | — | непряма |
| PyPI | mosaicml-cli | 0.4.17 | непряма |
| PyPI | mosaicml-cli | 0.4.4 | непряма |
| PyPI | mosaicml-streaming | 0.4.1 | непряма |
| PyPI | oauthlib | — | непряма |
| PyPI | omegaconf | — | непряма |
| PyPI | omegaconf | 2.2.3 | непряма |
| PyPI | omegaconf | 2.3.0 | непряма |
| PyPI | pydantic | 1.10.10 | непряма |
| PyPI | scipy | 1.11.1 | непряма |
| PyPI | sentencepiece | 0.1.97 | непряма |
| PyPI | sentencepiece | 0.1.99 | непряма |
| PyPI | torch | — | непряма |
| PyPI | torch | 1.13.1 | непряма |
| PyPI | torchvision | — | непряма |
| PyPI | transformers | 4.25.1 | непряма |
| PyPI | transformers | 4.28.1 | непряма |
| PyPI | transformers | 4.29.2 | непряма |
| PyPI | triton | 2.0.0.dev20221103 | непряма |
| PyPI | xformers | — | непряма |
| PyPI | xformers | 0.0.20 | непряма |
Сповіщення про залежності 10
Цей репозиторій не публікує пакета, який розпізнає індекс, тож оцінено його власний граф залежностей — 28 пакетів, серед яких є й піниї розробки та тестування, що ніколи не постачаються: 10 мають відомі сповіщення, з них 0 прямі. 6 не вдалося оцінити — немає резолвленої версії, непідтримувана екосистема або поза наведеним переліком пакетів.
| Пакет | Версія | Зв'язок | Критичність | Сповіщень | Виправлено в |
|---|---|---|---|---|---|
| gradio | 3.33.1 | непряма | критична | 78 | 6.16.0 |
| langchain | 0.0.205 | непряма | критична | 41 | 2.8.5 |
| torch | 1.13.1 | непряма | критична | 28 | 2.13.0 |
| diffusers | 0.11.1 | непряма | висока | 5 | 0.38.0 |
| sentencepiece | 0.1.97 | непряма | висока | 2 | 0.2.1 |
| sentencepiece | 0.1.99 | непряма | висока | 2 | 0.2.1 |
| pydantic | 1.10.10 | непряма | помірна | 2 | 2.4.0 |
| transformers | 4.25.1 | непряма | невідома | 50 | — |
| transformers | 4.28.1 | непряма | невідома | 50 | — |
| transformers | 4.29.2 | непряма | невідома | 50 | — |
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": [],
"is_fork": false,
"size_kb": 62853,
"has_wiki": false,
"homepage": null,
"languages": {
"Shell": 2848
},
"pushed_at": "2026-03-25T20:11:02Z",
"created_at": "2022-06-08T18:37:33Z",
"owner_type": "Organization",
"updated_at": "2026-06-30T16:41:52Z",
"description": "Fast and flexible reference benchmarks",
"is_archived": false,
"is_disabled": false,
"license_spdx": "Apache-2.0",
"default_branch": "main",
"license_spdx_raw": "Apache-2.0",
"primary_language": "Shell",
"significant_languages": [
"Shell"
]
},
"owner": {
"blog": "https://www.databricks.com/research/mosaic",
"name": "Databricks Mosaic Research",
"type": "Organization",
"login": "mosaicml",
"company": null,
"location": "United States of America",
"followers": 1098,
"avatar_url": "https://avatars.githubusercontent.com/u/75143706?v=4",
"created_at": "2020-11-27T21:10:09Z",
"is_verified": null,
"public_repos": 7,
"account_age_days": 2071
},
"license": {
"state": "standard",
"spdx_id": "Apache-2.0",
"raw_spdx": "Apache-2.0",
"file_present": true,
"scorecard_found": null,
"profile_has_license": true
},
"activity": {
"releases": [
{
"tag": "v0.0.4",
"kind": "patch",
"published_at": "2023-04-11T01:44:00Z"
},
{
"tag": "v0.0.3",
"kind": "patch",
"published_at": "2023-02-15T02:45:02Z"
}
],
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"is_bot": false,
"headline": "Updated inference mpt yaml with new git commit and corrected handler …",
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"author_name": "Sakshi Gupta",
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"body_truncated": false,
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"committed_at": "2023-06-22T21:35:43Z",
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"oid": "0402412ae7c81f779546d08a66bb2720e950d09a",
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"is_bot": false,
"headline": "Update 06b_deploy_embedding_model.yaml (#393)",
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"headline": "Update documentation (#392)",
"author_name": "Daniel King",
"author_login": "dakinggg",
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"body": null,
"is_bot": false,
"headline": "Update MPT Handler (#390)",
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"author_login": "margaretqian",
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"body": "This reverts commit 1a0492376cb1fc0b83e6e5db1e6edbb06c60c175.",
"is_bot": false,
"headline": "Enable CodeQL for pull requests (#374)",
"author_name": "bandish-shah",
"author_login": "bandish-shah",
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"body": null,
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"headline": "update yamls (#380)",
"author_name": "Jeffrey Chen",
"author_login": "Glabred",
"committed_at": "2023-06-21T06:31:45Z",
"body_truncated": false,
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"body": null,
"is_bot": false,
"headline": "Add extra comment about how to turn on wandb (#376)",
"author_name": "Daniel King",
"author_login": "dakinggg",
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"body_truncated": false,
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{
"oid": "2515a73e8020d97e3d08eb6d02e4987185329294",
"body": null,
"is_bot": false,
"headline": "End to end retrieval QA example (#352)",
"author_name": "Daniel King",
"author_login": "dakinggg",
"committed_at": "2023-06-20T21:36:28Z",
"body_truncated": false,
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"body": null,
"is_bot": false,
"headline": "Fix for multi-gpu inference (#363)",
"author_name": "Daya Khudia",
"author_login": "dskhudia",
"committed_at": "2023-06-16T18:18:41Z",
"body_truncated": false,
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"body": null,
"is_bot": false,
"headline": "Update compute in MPT YAMLs (#369)",
"author_name": "Ajay Saini",
"author_login": "ajaysaini725",
"committed_at": "2023-06-16T01:32:40Z",
"body_truncated": false,
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"oid": "59a8c02550fa96aadb8ab1f2c042107acff6e77f",
"body": "one more ssh_clone",
"is_bot": false,
"headline": "Set ssh_clone false for llm-foundry (#368)",
"author_name": "Margaret Qian",
"author_login": "margaretqian",
"committed_at": "2023-06-15T22:51:57Z",
"body_truncated": false,
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"oid": "1534a7d850bea0eb5e54d434ffeff59f70446373",
"body": "update commit",
"is_bot": false,
"headline": "Update mpt-instruct-ft yaml (#367)",
"author_name": "Margaret Qian",
"author_login": "margaretqian",
"committed_at": "2023-06-15T22:15:35Z",
"body_truncated": false,
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"oid": "f518b29590230763b10e50e80180ff943b3ebb4e",
"body": "Cleaning up a bit of typos and style.",
"is_bot": false,
"headline": "Update README.md (#366)",
"author_name": "Hagay Lupesko",
"author_login": "lupesko",
"committed_at": "2023-06-15T21:37:32Z",
"body_truncated": false,
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{
"oid": "51802bd428d85792ad5db679782bdc8d9ba01405",
"body": "* forgot one\r\n\r\n* update 7b\r\n\r\n* storywriter\r\n\r\n* only handler change\r\n\r\n* update commit",
"is_bot": false,
"headline": "Update commit (#362)",
"author_name": "Margaret Qian",
"author_login": "margaretqian",
"committed_at": "2023-06-15T20:44:59Z",
"body_truncated": false,
"is_coding_agent": false
},
{
"oid": "0b348f765c8ba6b2896a6a0834446bfc4a333811",
"body": "* forgot one\r\n\r\n* update 7b\r\n\r\n* storywriter\r\n\r\n* only handler change",
"is_bot": false,
"headline": "Fix mpt 7b handler (#361)",
"author_name": "Margaret Qian",
"author_login": "margaretqian",
"committed_at": "2023-06-15T20:33:40Z",
"body_truncated": false,
"is_coding_agent": false
},
{
"oid": "75e068f90c613a2cced553c5dc449d98c5470454",
"body": "Co-authored-by: Jeffrey Chen <jeffrey@mosaicml.com>",
"is_bot": false,
"headline": "Downloader for MPT faster transformers checkpoint conversion (#359)",
"author_name": "Margaret Qian",
"author_login": "margaretqian",
"committed_at": "2023-06-15T19:53:11Z",
"body_truncated": false,
"is_coding_agent": false
},
{
"oid": "cd16fe3eb6712e0c76211ef0e68ec5920d2947e6",
"body": null,
"is_bot": false,
"headline": "Modify model handlers to take in new request structure (#349)",
"author_name": "Jeffrey Chen",
"author_login": "Glabred",
"committed_at": "2023-06-14T19:36:48Z",
"body_truncated": false,
"is_coding_agent": false
},
{
"oid": "feb5a703311eb502643170ef1b061102311b6582",
"body": "Co-authored-by: Jeffrey Chen <jeffrey@mosaicml.com>",
"is_bot": false,
"headline": "Update image version (#357)",
"author_name": "Margaret Qian",
"author_login": "margaretqian",
"committed_at": "2023-06-14T19:29:22Z",
"body_truncated": false,
"is_coding_agent": false
},
{
"oid": "7fadb4d3fa89ece4345c1571959b4e9d59f97a76",
"body": "* instructor readme\r\n\r\n* Update examples/inference-deployments/instructor/README.md\r\n\r\nCo-authored-by: Daniel King <43149077+dakinggg@users.noreply.github.com>\r\n\r\n* Update examples/inference-deployments/instructor/README.md\r\n\r\nCo-authored-by: Daniel King <43149077+dakinggg@users.noreply.github.com>\r\n\r\n* Update README.md\r\n\r\nAdd langchain instructions\r\n\r\n---------\r\n\r\nCo-authored-by: Daniel King <43149077+dakinggg@users.noreply.github.com>",
"is_bot": false,
"headline": "Examples/inf/instructor README (#356)",
"author_name": "Sakshi Gupta",
"author_login": "sakshigupta93",
"committed_at": "2023-06-13T21:30:04Z",
"body_truncated": false,
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{
"oid": "06592a1c1960d10507fce6c9fc60dd1fb2ccb600",
"body": "* The diffusion readme about how diffusion doesn't work\r\n\r\n* nit\r\n\r\n* Update examples/inference-deployments/mosaic_diffusion/README.md\r\n\r\nCo-authored-by: Daniel King <43149077+dakinggg@users.noreply.github.com>\r\n\r\n---------\r\n\r\nCo-authored-by: Daniel King <43149077+dakinggg@users.noreply.github.com>",
"is_bot": false,
"headline": "Examples/inf/diffusion README (#354)",
"author_name": "Sakshi Gupta",
"author_login": "sakshigupta93",
"committed_at": "2023-06-13T20:49:19Z",
"body_truncated": false,
"is_coding_agent": false
},
{
"oid": "8850cb40911c40331946012a7b8dec5642981377",
"body": "* Examples/inference/mpt README\r\n\r\n\r\n---------\r\n\r\nCo-authored-by: Daniel King <43149077+dakinggg@users.noreply.github.com>",
"is_bot": false,
"headline": "Examples/inference/mpt README updates (#350)",
"author_name": "Sakshi Gupta",
"author_login": "sakshigupta93",
"committed_at": "2023-06-13T16:25:38Z",
"body_truncated": false,
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},
{
"oid": "5aeac41c11db7b967720447c66f11f6c6a1d2842",
"body": "* mpt instruct ft yaml\r\n\r\n* pin versions",
"is_bot": false,
"headline": "Add mpt instruct faster transformers yaml (#353)",
"author_name": "Margaret Qian",
"author_login": "margaretqian",
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"body": "* update ft handler for go server and other tweaks",
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"headline": "Update MPT FT handler to work with go server (#346)",
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"body": "pinning",
"is_bot": false,
"headline": "Pinning version for mpt yamls (#345)",
"author_name": "Margaret Qian",
"author_login": "margaretqian",
"committed_at": "2023-06-08T23:10:32Z",
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"oid": "060a847ef07971fa010d61c5fcfeaae838c7505d",
"body": "use git_commit",
"is_bot": false,
"headline": "Use git_commit in example yaml (#344)",
"author_name": "Margaret Qian",
"author_login": "margaretqian",
"committed_at": "2023-06-08T01:09:49Z",
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"is_bot": false,
"headline": "FasterTransformer model handler for the mpt series (#340)",
"author_name": "Daya Khudia",
"author_login": "dskhudia",
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"headline": "Update inference models to work with batching and go server (#341)",
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"author_login": "RR4787",
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"oid": "55e1bfcbe6984f970e4b951a2d373e0e68962a31",
"body": "update ssh_clone\r\n\r\nCo-authored-by: Daniel King <43149077+dakinggg@users.noreply.github.com>",
"is_bot": false,
"headline": "Update example yaml to work without git secrets (#342)",
"author_name": "Margaret Qian",
"author_login": "margaretqian",
"committed_at": "2023-06-07T18:07:20Z",
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"body": "* fix deeplab args\r\n* pin streaming everywhere",
"is_bot": false,
"headline": "Fixing a couple CI issues and pin streaming everywhere (#343)",
"author_name": "Daniel King",
"author_login": "dakinggg",
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"body": null,
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"headline": "Begin restructuring (#333)",
"author_name": "Daniel King",
"author_login": "dakinggg",
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"body_truncated": false,
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"oid": "09912d4b93164f998ecbee759599a51fab413f75",
"body": "* Refresh mosaicml platform yamls\r\n\r\n* lint\r\n\r\n* updates",
"is_bot": false,
"headline": "Refresh mosaicml platform yamls (#335)",
"author_name": "Anna",
"author_login": "aspfohl",
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"body": "* Update hf-bert-base-uncased.yaml\r\n\r\nchange precision from bf16 to amp_bf16\r\n\r\n* Update mosaic-bert-base-uncased.yaml (#326)\r\n\r\nchange bf16 to amp_bf16\r\n\r\n---------\r\n\r\nCo-authored-by: Daniel King <43149077+dakinggg@users.noreply.github.com>",
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"headline": "Update hf-bert-base-uncased.yaml (#325)",
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"body": null,
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"headline": "Fix Inference Quickstart link (#334)",
"author_name": "Abhi Venigalla",
"author_login": "abhi-mosaic",
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"is_bot": false,
"headline": "Sd dreambooth bugfix (#332)",
"author_name": "Austin",
"author_login": "A-Jacobson",
"committed_at": "2023-05-22T22:12:27Z",
"body_truncated": false,
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"oid": "f8bae6ed1106ad0be834e372b434fb1591d10960",
"body": null,
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"headline": "Remove hardcoded name in MPTModelHandler (#328)",
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"author_login": "margaretqian",
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"oid": "3e47a86747f531719d1e581487c73049b66a53b4",
"body": "* initial handlers\r\n\r\n* fix instructor yamls\r\n\r\n* fix yamls",
"is_bot": false,
"headline": "Adding more inference model handlers (#323)",
"author_name": "Margaret Qian",
"author_login": "margaretqian",
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"headline": "Remove deprecated code (#317)",
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"headline": "Update README.md \"platform\" to \"Platform\" (#319)",
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"headline": "Polish inference example README (#318)",
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"headline": "Inference custom model example (#315)",
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"body": "Adds seq-to-seq finetuning (such as IFT) for LLMs. These changes create a new dataloading codepath.",
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"headline": "Seq2Seq finetuning (#304)",
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"headline": "Bump `transformers==4.28.1` (#313)",
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"headline": "add multi-query attn (#302)",
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"is_bot": false,
"headline": "Clean tokenizer cfg (#314)",
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"author_login": "vchiley",
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"headline": "Correct torch_dtype when converting to HF format (#312)",
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"is_bot": false,
"headline": "HF Chat file (#306)",
"author_name": "Sam Havens",
"author_login": "samhavens",
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"headline": "Upgrade HF Generate script to work with private models (#310)",
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"body": null,
"is_bot": false,
"headline": "Don't hide error when building ComposerModel (#311)",
"author_name": "Abhi Venigalla",
"author_login": "abhi-mosaic",
"committed_at": "2023-04-26T22:52:45Z",
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"body": null,
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"headline": "updt flash attn version (#309)",
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"is_bot": false,
"headline": "Updt Alibi to be HF/FT compatible (#307)",
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"author_login": "vchiley",
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"body_truncated": false,
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{
"oid": "a06a40eef77bdde13bc77b65ce30910158057973",
"body": "General inference benchmarking code",
"is_bot": false,
"headline": "Inference benchmarking (#267)",
"author_name": "bcui19",
"author_login": "bcui19",
"committed_at": "2023-04-24T19:28:46Z",
"body_truncated": false,
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{
"oid": "f037b5141726b53876fbee0ba4cb2c0793d41a85",
"body": "…rate (#301)",
"is_bot": false,
"headline": "Add example code to download huggingface checkpoint from OCI for gene…",
"author_name": "Sasha Doubov",
"author_login": "sashaDoubov",
"committed_at": "2023-04-14T17:16:08Z",
"body_truncated": false,
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{
"oid": "614c3b61191f8b8ebfca72d5caa2e133d3b98c99",
"body": "* eval first except when resuming\r\n\r\n* lint",
"is_bot": false,
"headline": "eval first except when resuming (#300)",
"author_name": "Vitaliy Chiley",
"author_login": "vchiley",
"committed_at": "2023-04-13T18:00:24Z",
"body_truncated": false,
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"oid": "570b3474919993cdee332c2e50fbe36f9938cd06",
"body": "* add gc collect to sgc\r\n\r\n* also call torch.cuda.empty_cache\r\n\r\n* pr cmts",
"is_bot": false,
"headline": "updt SchedGC to include cuda.empty_cache (#299)",
"author_name": "Vitaliy Chiley",
"author_login": "vchiley",
"committed_at": "2023-04-13T01:27:02Z",
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"is_bot": false,
"headline": "add gc.collect to sgc (#297)",
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"committed_at": "2023-04-12T19:05:00Z",
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"body": null,
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"headline": "Add a trlx example (#269)",
"author_name": "Daniel King",
"author_login": "dakinggg",
"committed_at": "2023-04-11T21:48:32Z",
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"oid": "ad6d60850a77b8e6682d5c373f1d0d32ad70877b",
"body": "* add sched gc\r\n\r\n* Update examples/common/scheduled_gc_callback.py\r\n\r\nCo-authored-by: Daniel King <43149077+dakinggg@users.noreply.github.com>\r\n\r\n---------\r\n\r\nCo-authored-by: Daniel King <43149077+dakinggg@users.noreply.github.com>",
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"headline": "add sched gc (#295)",
"author_name": "Vitaliy Chiley",
"author_login": "vchiley",
"committed_at": "2023-04-11T21:35:46Z",
"body_truncated": false,
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{
"oid": "c58033eab73b2689148223ac785fe12355056708",
"body": "grammar check courtesy of Emily",
"is_bot": false,
"headline": "Grammar check courtesy of Emily (#294)",
"author_name": "Vitaliy Chiley",
"author_login": "vchiley",
"committed_at": "2023-04-11T18:44:20Z",
"body_truncated": false,
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{
"oid": "eee3b250120d4a498c4933cea2f413486321e915",
"body": "Merge release 0.0.4 back to main",
"is_bot": false,
"headline": "Merge pull request #293 from dakinggg/004_to_main",
"author_name": "Daniel King",
"author_login": "dakinggg",
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"headline": "fix max seq len",
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"headline": "fix tokenizer yaml sections",
"author_name": "Daniel King",
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"headline": "merge",
"author_name": "Daniel King",
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"committed_at": "2023-04-11T05:31:18Z",
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{
"oid": "52cd4fef69497f225a034fcd10692f8613732d10",
"body": "…y` (#290)",
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"headline": "Update README, add low precision option for `convert_composer_to_hf.p…",
"author_name": "Abhi Venigalla",
"author_login": "abhi-mosaic",
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"headline": "Update yamls (#289)",
"author_name": "Daniel King",
"author_login": "dakinggg",
"committed_at": "2023-04-10T21:23:00Z",
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{
"oid": "701460070cc8888678097cf712d9c546853d0c54",
"body": "* fix interval\r\n\r\n* fix interval\r\n\r\n* fit end too\r\n\r\n* fit end too\r\n\r\n* fix\r\n\r\n* fix eval mode\r\n\r\n* remove fit end\r\n\r\n* fsdp fix",
"is_bot": false,
"headline": "Fix generation callback interval (#291)",
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"headline": "update version in init",
"author_name": "Daniel King",
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"committed_at": "2023-04-07T19:04:19Z",
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{
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"body": "* Add monolithic_chkpt_callback\r\n\r\n* Add checkpoint saver to builders\r\n\r\n* fix bug where all ranks save monolithic checkpoint\r\n\r\n* fix bug where context manager only runs on rank 0\r\n\r\n* Make new remote_ud in all situation\r\n\r\n* fix bug with upload_file\r\n\r\n* remove rank\r\n\r\n* Add back in rng\r\n\r\n* fix b\n[…]\n\n\r\n* wip\r\n\r\n* wip\r\n\r\n* rename\r\n\r\n* updates\r\n\r\n* updates\r\n\r\n* fit end no save twice\r\n\r\n---------\r\n\r\nCo-authored-by: Evan Racah <ejracah@gmail.com>\r\nCo-authored-by: Vitaliy Chiley <vitaliy@mosaicml.com>",
"is_bot": false,
"headline": "Add Monolithic Checkpoint Callback (#288)",
"author_name": "Abhi Venigalla",
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"committed_at": "2023-04-07T04:55:03Z",
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"lockfiles": [],
"manifests": [
"pyproject.toml"
],
"has_codeql_workflow": false,
"has_security_policy": false,
"has_dependabot_config": false
},
"components": [
{
"key": "security_policy_security_md",
"name": "Security policy (SECURITY.md)",
"detail": null,
"points": 0,
"status": "missed",
"details": [],
"max_points": 30
},
{
"key": "dependabot_config",
"name": "Dependabot config",
"detail": null,
"points": 0,
"status": "missed",
"details": [],
"max_points": 25
},
{
"key": "dependency_lockfiles",
"name": "Dependency lockfiles",
"detail": null,
"points": 0,
"status": "missed",
"details": [],
"max_points": 25
},
{
"key": "codeql_workflow",
"name": "CodeQL workflow",
"detail": null,
"points": 0,
"status": "missed",
"details": [],
"max_points": 20
}
]
},
{
"key": "dependency_advisories",
"band": "excellent",
"name": "Dependency advisories",
"note": "Excluded from scoring (no data or not applicable): Indirect dependencies free of known advisories, No advisories left outstanding. Remaining weights renormalized. Matched 28 resolved dependencies against OSV; 6 could not be assessed (no resolved version, an unsupported ecosystem, or beyond the reported package list). This repository publishes no package the index resolves, so the repository dependency graph was assessed instead. That graph mixes development and test pins with shipped dependencies, so only the declared runtime dependencies are scored; transitive findings are reported as context and excluded from the score. Reachability is not analyzed.",
"notes": [
{
"code": "excluded_no_data",
"params": {
"components": [
"indirect_dependencies_free_of_known_advisories",
"no_advisories_left_outstanding"
]
}
},
{
"code": "weights_renormalized",
"params": {}
},
{
"code": "advisories_scope_repository",
"params": {
"assessed": 28
}
},
{
"code": "advisories_unassessed",
"params": {
"count": 6
}
},
{
"code": "advisories_repo_graph_caveat",
"params": {}
},
{
"code": "advisories_reachability",
"params": {}
}
],
"value": 100,
"inputs": {
"source": "osv",
"advisories": 308,
"affected_packages": 10,
"assessed_packages": 28,
"unassessed_packages": 6,
"affected_by_severity": "critical 3, high 3, moderate 1, unknown 3",
"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": "transitive set not separable from development and test dependencies in this scope",
"points": 0,
"status": "excluded",
"details": [
{
"code": "advisories_scope_not_separable",
"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": "excellent",
"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": 28,
"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": "excellent",
"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"
],
"review_only_matches": 0,
"assessed_self_published_locations": 4
},
"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": "at_risk",
"name": "AI Readiness",
"value": 41,
"weight": 0,
"metrics": [
{
"key": "ai_agent_context",
"band": "at_risk",
"name": "Agent context & guidance",
"note": null,
"notes": [],
"value": 40,
"inputs": {
"has_llms_txt": false,
"legible_history_share": 0.93,
"agent_instruction_files": [],
"agent_instruction_max_bytes": null
},
"components": [
{
"key": "agent_instructions",
"name": "Agent instructions",
"detail": "no CLAUDE.md / AGENTS.md / editor rules",
"points": 0,
"status": "missed",
"details": [
{
"code": "no_agent_instructions",
"params": {}
}
],
"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": "93 of 100 human commits state their intent (structured subject or explanatory body)",
"points": 40,
"status": "met",
"details": [
{
"code": "legible_history",
"params": {
"legible": 93,
"sampled": 100
}
}
],
"max_points": 40
}
]
},
{
"key": "ai_verify_loop",
"band": "at_risk",
"name": "Verify loop (build / test / typecheck)",
"note": null,
"notes": [],
"value": 37,
"inputs": {
"has_nix": false,
"has_tests": true,
"lockfiles": [],
"has_dockerfile": false,
"typed_language": false,
"bootstrap_files": [],
"has_devcontainer": false,
"has_linter_config": true,
"typecheck_configs": [],
"agent_commit_share": 0,
"toolchain_manifests": [],
"dependency_bot_commit_share": 0
},
"components": [
{
"key": "one_command_bootstrap",
"name": "One-command bootstrap",
"detail": null,
"points": 0,
"status": "missed",
"details": [],
"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": null,
"points": 0,
"status": "missed",
"details": [],
"max_points": 11
},
{
"key": "reproducible_environment",
"name": "Reproducible environment",
"detail": null,
"points": 0,
"status": "missed",
"details": [],
"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": "no automated dependency updates observed",
"points": 0,
"status": "missed",
"details": [
{
"code": "no_dependency_automation",
"params": {}
}
],
"max_points": 8
},
{
"key": "openssf_scorecard_pinned_dependencies",
"name": "OpenSSF Scorecard: Pinned-Dependencies",
"detail": "OpenSSF Scorecard unavailable",
"points": 0,
"status": "excluded",
"details": [
{
"code": "no_data",
"params": {}
}
],
"max_points": 10
}
]
},
{
"key": "ai_code_legibility",
"band": "moderate",
"name": "Code legibility for models",
"note": null,
"notes": [],
"value": 55,
"inputs": {
"primary_language": "Shell",
"largest_source_bytes": 47605,
"source_files_sampled": 81,
"oversized_source_files": 0
},
"components": [
{
"key": "type_checkable_code",
"name": "Type-checkable code",
"detail": "Shell without a type-check config",
"points": 0,
"status": "missed",
"details": [
{
"code": "no_typecheck_config_language",
"params": {
"language": "Shell"
}
}
],
"max_points": 45
},
{
"key": "manageable_file_sizes",
"name": "Manageable file sizes",
"detail": "0/81 source files over 60KB",
"points": 55,
"status": "met",
"details": [
{
"code": "oversized_source_files",
"params": {
"kb": 60,
"sampled": 81,
"oversized": 0
}
}
],
"max_points": 55
}
]
},
{
"key": "ai_interfaces",
"band": "at_risk",
"name": "Machine-readable interfaces",
"note": null,
"notes": [],
"value": 40,
"inputs": {
"example_dirs": [
"examples",
"notebooks"
],
"has_mcp_signal": false,
"api_schema_files": []
},
"components": [
{
"key": "api_schema_openapi_graphql_proto",
"name": "API schema (OpenAPI/GraphQL/proto)",
"detail": null,
"points": 0,
"status": "missed",
"details": [],
"max_points": 40
},
{
"key": "mcp_server",
"name": "MCP server",
"detail": null,
"points": 0,
"status": "missed",
"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? An independent, experimental badge — weight 0.0, so it is surfaced on its own and does not affect the overall health score."
}
],
"metrics_version": "1.13.0"
},
"warnings": [
"Star history unavailable: GitHub GraphQL error: Resource not accessible by personal access token",
"Advisory severity resolved for 120 of 189 advisories (lookup cap); the remainder are reported as unknown severity",
"OpenSSF Scorecard did not return a usable result (2026/07/31 04:46:01 Warning: PATs stored in env variables GITHUB_AUTH_TOKEN and GITHUB_TOKEN differ. Scorecard will use the former.); skipping Scorecard checks"
],
"report_type": "repository",
"generated_at": "2026-07-31T04:46:27.483151Z",
"schema_version": "0.27.0",
"badge_url": "https://raw.githubusercontent.com/inspect-software/badges/main/v1/m/mosaicml/examples.svg",
"full_name": "mosaicml/examples",
"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 v1.13.0, схема v0.27.0 — повна методологія · вікі метрик.
Як окремий результат виглядає на тлі всього реєстру: сукупна статистика.