Публічний реєстрДобрий
Звіт про здоров'я програмного забезпеченнясхема 0.27.0 · метрики 1.13.0 · 2026-07-26 09:41 UTC
google-deepmind / open_spiel
OpenSpiel is a collection of environments and algorithms for research in general reinforcement learning and search/planning in games.
google-deepmind/open_spiel має індекс здоров’я 82 зі 100, що відповідає смузі «Добрий». Найвищий показник — Vitality (95/100), найнижчий — AI Readiness (57/100). Останнє оновлення було 8 днів тому. Більшість нещодавньої роботи виконують 5 учасників.
82
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.
82
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
Google DeepMindОрганізація
25 725 підписників397 публічних репозиторіївз серп. 2014 р.
За цим репозиторієм стоїть організація — спільна, підзвітна опіка, здатна пережити будь-якого окремого мейнтейнера.
Пакетні екосистеми
| Реєстр | Пакет | Версія | Завантажень / міс | Версії | Остання публікація | Теги |
|---|---|---|---|---|---|---|
| PyPI | open_spielвказує на інший репозиторій — не оцінюється | 2.0.1 | - | 36 | 9 днів тому | reinforcement-learninggame-theoryartificial-intelligencegames |
| PyPI | open-spielвказує на інший репозиторій — не оцінюється | 2.0.1 | 135 648 | 36 | 9 днів тому | reinforcement-learninggame-theoryartificial-intelligencegames |
Метрики за категоріями
Життєздатність
Чи живий проєкт — чи пишеться код і чи виходять релізи?
95
Активність розробки
91Відмінний
Як обчислюється оцінка
| 28.8/36 | Свіжість push — останній push 8 дн. тому |
| 33.9/36 | Ритм комітів — 49/52 тижнів із комітами |
| 18/18 | Обсяг комітів — 817 комітів за останній рік |
| 10/10 | OpenSSF Scorecard: Maintained — 30 commit(s) and 9 issue activity found in the last 90 days -- score normalized to 10 |
Використані вхідні дані
| commits_last_year | 817 |
| human_commit_share | 1 |
| days_since_last_push | 8 |
| active_weeks_last_year | 49 |
Дисципліна релізів
100Відмінний
Як обчислюється оцінка
| 27/27 | Випускає релізи — опубліковано 30 релізів |
| 36/36 | Свіжість релізів — останній реліз 8 дн. тому |
| 27/27 | Ритм релізів — реліз кожні ~30 дн. |
| 0/10 | OpenSSF Scorecard: Signed-Releases — немає даних |
Використані вхідні дані
| releases_count | 30 |
| latest_release_tag | v2.0.1 |
| releases_from_tags | ні |
| days_since_latest_release | 8 |
| mean_days_between_releases | 30 |
Виключено з оцінювання (немає даних або не застосовно): OpenSSF Scorecard: Signed-Releases. Залишкові ваги перенормовано.
Спільнота та впровадження
Чи має проєкт користувачів, завантаження, увагу та влаштовані умови для контриб’юторів?
84
Популярність і впровадження
96Відмінний
Як обчислюється оцінка
| 60/60 | Зірки — 5 359 зірок |
| 25/25 | Форки — 1 161 форків |
| 11.2/15 | Спостерігачі — 106 спостерігачів |
Використані вхідні дані
| forks | 1 161 |
| stars | 5 359 |
| watchers | 106 |
| growth_state | unverified |
| growth_factor_pct | 100 |
| growth_unverified_reason | no_history |
Здоров'я спільноти
70Добрий
Як обчислюється оцінка
| 22.5/22.5 | README |
| 22.5/22.5 | Ліцензія — визнана ліцензія (Apache-2.0) |
| 18/18 | 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 | так |
| 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?
83
Як обчислюється оцінка
| 45.9/54 | Бас-фактор — на 5 контриб’ютор(ів) припадає половина всіх комітів |
| 14/22.5 | Розподіл комітів — головний контриб’ютор — автор 38% комітів |
| 13.5/13.5 | Широта контриб’юторів — 100 контриб’юторів |
| 10/10 | OpenSSF Scorecard: Contributors — project has 22 contributing companies or organizations |
Використані вхідні дані
| bus_factor | 5 |
| contributors_sampled | 100 |
| top_contributor_share | 0,378 |
Реактивність на issue та PR
86Відмінний
Як обчислюється оцінка
| 45.2/46.8 | Вирішення issue — закрито 97% issue |
| 28.8/38.3 | Прийняття PR — злито 660/876 вирішених PR |
| 12/15 | OpenSSF Scorecard: Code-Review — Found 20/24 approved changesets -- score normalized to 8 |
Використані вхідні дані
| merged_prs | 660 |
| open_issues | 22 |
| closed_issues | 620 |
| issue_closed_ratio | 0,966 |
| closed_unmerged_prs | 216 |
Власність та опіка
80Добрий
Як обчислюється оцінка
| 30/30 | Підтримка власника — у власності організації |
| 0/20 | Верифікований домен |
| 25/25 | Охоплення власника — 25 725 підписників у google-deepmind |
| 25/25 | Послужний список — 397 публічних репозиторіїв, вік облікового запису ~11 р. |
Використані вхідні дані
| followers | 25 725 |
| owner_type | Organization |
| is_verified | — |
| owner_login | google-deepmind |
| public_repos | 397 |
| account_age_days | 4 348 |
Інженерна якість
Чи наявні базові інженерні практики та документація?
75
Інженерні практики
68Помірний
Як обчислюється оцінка
| 24/24 | Процеси CI — 2 процес(ів) CI |
| 24/24 | Наявні тести |
| 0/16 | Конфігурація лінтера |
| 0/9.6 | Pre-commit-хуки |
| 0/6.4 | .editorconfig |
| 20/20 | OpenSSF Scorecard: CI-Tests — 11 out of 11 merged PRs checked by a CI test -- score normalized to 10 |
Використані вхідні дані
| has_ci | так |
| has_tests | так |
| has_editorconfig | ні |
| has_linter_config | ні |
| has_precommit_config | ні |
Документація
85Відмінний
Як обчислюється оцінка
| 30/30 | README |
| 25/25 | Каталог документації |
| 0/15 | Сайт документації / домашня сторінка |
| 10/10 | Опис репозиторію |
| 10/10 | Теми — 5 тем |
| 10/10 | Wiki |
Використані вхідні дані
| topics | games, reinforcement-learning, multiagent, cpp, python |
| has_wiki | так |
| homepage | — |
| has_readme | так |
| has_docs_dir | так |
| has_description | так |
Безпека
Чи міцні видимі практики безпеки й ланцюга постачання, без непослабленої пов’язаності з юрисдикціями високого ризику?
72
Стан безпеки
65Помірний
Як обчислюється оцінка
| 7.5/7.5 | Binary-Artifacts — no binaries found in the repo |
| 0/7.5 | Branch-Protection — немає даних |
| 2.5/2.5 | CI-Tests — 11 out of 11 merged PRs checked by a CI test -- score normalized to 10 |
| 0/2.5 | CII-Best-Practices — no effort to earn an OpenSSF best practices badge detected |
| 6/7.5 | Code-Review — Found 20/24 approved changesets -- score normalized to 8 |
| 2.5/2.5 | Contributors — project has 22 contributing companies or organizations |
| 10/10 | Dangerous-Workflow — no dangerous workflow patterns detected |
| 7.5/7.5 | Dependency-Update-Tool — update tool detected |
| 0/5 | Fuzzing — project is not fuzzed |
| 2.5/2.5 | Ліцензія — license file detected |
| 7.5/7.5 | Maintained — 30 commit(s) and 9 issue activity found in the last 90 days -- score normalized to 10 |
| 0/5 | Packaging — немає даних |
| 0/5 | Pinned-Dependencies — dependency not pinned by hash detected -- score normalized to 0 |
| 2/5 | SAST — SAST tool is not run on all commits -- score normalized to 4 |
| 0/5 | Security-Policy — security policy file not detected |
| 0/7.5 | Signed-Releases — немає даних |
| 0/7.5 | Token-Permissions — detected GitHub workflow tokens with excessive permissions |
| 7.5/7.5 | Vulnerabilities — 0 existing vulnerabilities detected |
Використані вхідні дані
| source | openssf_scorecard |
| checks_evaluated | 15 |
| scorecard_version | v5.5.0 |
| checks_inconclusive | 3 |
| scorecard_aggregate | 6,5 |
Виключено з оцінювання (немає даних або не застосовно): branch_protection, packaging, signed_releases. Залишкові ваги перенормовано.
Сповіщення про залежності
100Відмінний
Як обчислюється оцінка
| 35/35 | Прямі залежності без відомих сповіщень — жодна пряма залежність не має відомих сповіщень |
| 25/25 | Непрямі залежності без відомих сповіщень — жодна непряма залежність не має відомих сповіщень |
| 0/40 | Немає задавнених сповіщень — жодне сповіщення не має дати публікації |
Використані вхідні дані
| source | osv |
| advisories | 0 |
| affected_packages | 0 |
| assessed_packages | 6 |
| unassessed_packages | 0 |
| affected_by_severity | none |
| direct_affected_packages | 0 |
Виключено з оцінювання (немає даних або не застосовно): Немає задавнених сповіщень. Залишкові ваги перенормовано. Звірено з runtime-замиканням залежностей pypi:open_spiel@2.0.1 — тим, що тягне за собою встановлення опублікованого пакета, — 6 пакетів. 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.
57
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 79 з 100 людських комітів (структурований заголовок або пояснювальний текст) |
Використані вхідні дані
| has_llms_txt | ні |
| legible_history_share | 0,79 |
| agent_instruction_files | — |
| agent_instruction_max_bytes | — |
Як обчислюється оцінка
| 18/18 | Розгортання однією командою — docs/Makefile |
| 22/22 | Автоматизовані тести |
| 0/11 | Конфігурація лінтера / форматера |
| 11/11 | Статична перевірка типів — C++ (статично типізована) |
| 10/10 | Відтворюване середовище — Dockerfile |
| 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 — dependency not pinned by hash detected -- score normalized to 0 |
Використані вхідні дані
| has_nix | ні |
| has_tests | так |
| lockfiles | — |
| has_dockerfile | так |
| typed_language | так |
| bootstrap_files | docs/Makefile |
| has_devcontainer | ні |
| has_linter_config | ні |
| typecheck_configs | — |
| agent_commit_share | 0 |
| toolchain_manifests | open_spiel/rust/Cargo.toml |
| dependency_bot_commit_share | 0 |
Читабельність коду для моделей
100Відмінний
Як обчислюється оцінка
| 45/45 | Типізований код — C++ (статично типізована) |
| 54.8/55 | Керовані розміри файлів — 6/1 436 файлів вихідного коду понад 60 КБ |
Використані вхідні дані
| primary_language | C++ |
| largest_source_bytes | 148 547 |
| source_files_sampled | 1 436 |
| oversized_source_files | 6 |
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
5 359зірок GitHub
100контриб'юторів
817комітів за останні 12 місяців
8днів від останнього пушу
30релізів
5бас-фактор
22відкритих issue
PyPIпакетних екосистем
Попередження щодо збору даних
- Star history unavailable: GitHub GraphQL error: Resource not accessible by personal access token
- pypi package 'open_spiel' points at a different repository (https://github.com/deepmind/open_spiel.git); excluded from ecosystem scoring
- pypi package 'open-spiel' points at a different repository (https://github.com/deepmind/open_spiel.git); excluded from ecosystem scoring
- Could not fetch crates package 'libopen_spiel-sys' from its registry
Докладніше
Історія зірок і форків 0 ★ / 1 161 ⇿
0Зірки
1 161Форки
30Релізи
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.
Показано лише найновішу історію — цей репозиторій перевищує вікно збору, тож найраніша історія не захоплена.
Мажорні 1Мінорні 4Патчі 19
Кожна точка охоплює 7 днів.
OpenSSF Scorecard 6.5 / 10
6.5сукупно
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).
| 10 | Binary-Artifacts | no binaries found in the repo |
| н/д | Branch-Protection | internal error: error during branchesHandler.setup: internal error: some github tokens can't read classic branch protection rules: https://github.com/ossf/scorecard-action/blob/main/docs/authentication/fine-grained-auth-token.md |
| 10 | CI-Tests | 11 out of 11 merged PRs checked by a CI test -- score normalized to 10 |
| 0 | CII-Best-Practices | no effort to earn an OpenSSF best practices badge detected |
| 8 | Code-Review | Found 20/24 approved changesets -- score normalized to 8 |
| 10 | Contributors | project has 22 contributing companies or organizations |
| 10 | Dangerous-Workflow | no dangerous workflow patterns detected |
| 10 | Dependency-Update-Tool | update tool detected |
| 0 | Fuzzing | project is not fuzzed |
| 10 | License | license file detected |
| 10 | Maintained | 30 commit(s) and 9 issue activity found in the last 90 days -- score normalized to 10 |
| н/д | Packaging | packaging workflow not detected |
| 0 | Pinned-Dependencies | dependency not pinned by hash detected -- score normalized to 0 |
| 4 | SAST | SAST tool is not run on all commits -- score normalized to 4 |
| 0 | Security-Policy | security policy file not detected |
| н/д | Signed-Releases | no releases found |
| 0 | Token-Permissions | detected GitHub workflow tokens with excessive permissions |
| 10 | Vulnerabilities | 0 existing vulnerabilities detected |
Прямі залежності 6
| Реєстр | Пакет | Обмеження версії | Маніфест |
|---|---|---|---|
| PyPI | absl-py | >=0.10.0 | pyproject.toml |
| PyPI | attrs | >=19.3.0 | pyproject.toml |
| PyPI | numpy | >=1.21.5 | pyproject.toml |
| PyPI | scipy | >=1.10.1 | pyproject.toml |
| PyPI | ml-collections | >=0.1.1 | pyproject.toml |
| crates.io | libc | 0.2 | open_spiel/rust/Cargo.toml |
Усі залежності 23
Повний розв'язаний набір залежностей із графа залежностей GitHub: 6 прямих і 17 непрямих (транзитивних) пакетів. Транзитивне замикання є повним, коли в репозиторії закомічено lockfile.
| Реєстр | Пакет | Версія | Зв'язок |
|---|---|---|---|
| crates.io | libc | — | пряма |
| PyPI | absl-py | — | пряма |
| PyPI | attrs | — | пряма |
| PyPI | ml-collections | — | пряма |
| PyPI | numpy | — | пряма |
| PyPI | scipy | — | пряма |
| crates.io | cc | — | непряма |
| crates.io | pkg-config | — | непряма |
| PyPI | cmake | — | непряма |
| PyPI | distrax | — | непряма |
| PyPI | dm-haiku | — | непряма |
| PyPI | jax | — | непряма |
| PyPI | markdown | 3.8.1 | непряма |
| PyPI | open-spiel | — | непряма |
| PyPI | optax | — | непряма |
| PyPI | pip | — | непряма |
| PyPI | recommonmark | 0.7.1 | непряма |
| PyPI | rlax | — | непряма |
| PyPI | setuptools | — | непряма |
| PyPI | sphinx | 5.1 | непряма |
| PyPI | sphinx-markdown-tables | 0.0.17 | непряма |
| PyPI | sphinx-rtd-theme | 1.3.0 | непряма |
| PyPI | wandb | — | непряма |
Сповіщення про залежності 0
Встановлення pypi:open_spiel@2.0.1 тягне 6 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": [
"games",
"reinforcement-learning",
"multiagent",
"cpp",
"python"
],
"is_fork": false,
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}
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{
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{
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"note": null,
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"has_license": true,
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"components": [
{
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{
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{
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{
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{
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]
},
{
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{
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{
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{
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{
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{
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],
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{
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"metrics": [
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"key": "engineering_practices",
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"details": [
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{
"key": "tests_present",
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"detail": null,
"points": 24,
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{
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},
{
"key": "documentation",
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"inputs": {
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],
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{
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{
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{
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{
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"points": 7.5,
"status": "met",
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{
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"status": "excluded",
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"code": "no_data",
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{
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"status": "missed",
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{
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{
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"status": "missed",
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"status": "missed",
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{
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"status": "met",
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]
},
{
"key": "dependency_advisories",
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"code": "advisories_scope_published",
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},
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"code": "advisories_reachability",
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"direct_affected_packages": 0
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],
"max_points": 35
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{
"key": "indirect_dependencies_free_of_known_advisories",
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"status": "met",
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"code": "no_indirect_advisories",
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],
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{
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]
},
{
"key": "malicious_dependencies",
"band": "excellent",
"name": "Malicious dependencies",
"note": null,
"notes": [],
"value": 100,
"inputs": {
"source": "osv",
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"components": [
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"status": "met",
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"code": "no_malicious_dependencies",
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}
],
"max_points": 100
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]
},
{
"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": 7
},
"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": "moderate",
"name": "AI Readiness",
"value": 57,
"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": 0.79,
"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": "79 of 100 human commits state their intent (structured subject or explanatory body)",
"points": 40,
"status": "met",
"details": [
{
"code": "legible_history",
"params": {
"legible": 79,
"sampled": 100
}
}
],
"max_points": 40
}
]
},
{
"key": "ai_verify_loop",
"band": "moderate",
"name": "Verify loop (build / test / typecheck)",
"note": null,
"notes": [],
"value": 61,
"inputs": {
"has_nix": false,
"has_tests": true,
"lockfiles": [],
"has_dockerfile": true,
"typed_language": true,
"bootstrap_files": [
"docs/Makefile"
],
"has_devcontainer": false,
"has_linter_config": false,
"typecheck_configs": [],
"agent_commit_share": 0,
"toolchain_manifests": [
"open_spiel/rust/Cargo.toml"
],
"dependency_bot_commit_share": 0
},
"components": [
{
"key": "one_command_bootstrap",
"name": "One-command bootstrap",
"detail": "docs/Makefile",
"points": 18,
"status": "met",
"details": [
{
"code": "file_list",
"params": {
"files": "docs/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": 0,
"status": "missed",
"details": [],
"max_points": 11
},
{
"key": "static_type_checking",
"name": "Static type checking",
"detail": "C++ (statically typed)",
"points": 11,
"status": "met",
"details": [
{
"code": "statically_typed_language",
"params": {
"language": "C++"
}
}
],
"max_points": 11
},
{
"key": "reproducible_environment",
"name": "Reproducible environment",
"detail": "Dockerfile",
"points": 10,
"status": "met",
"details": [
{
"code": "file_list",
"params": {
"files": "Dockerfile"
}
}
],
"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": "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": 100,
"inputs": {
"primary_language": "C++",
"largest_source_bytes": 148547,
"source_files_sampled": 1436,
"oversized_source_files": 6
},
"components": [
{
"key": "type_checkable_code",
"name": "Type-checkable code",
"detail": "C++ (statically typed)",
"points": 45,
"status": "met",
"details": [
{
"code": "statically_typed_language",
"params": {
"language": "C++"
}
}
],
"max_points": 45
},
{
"key": "manageable_file_sizes",
"name": "Manageable file sizes",
"detail": "6/1436 source files over 60KB",
"points": 54.8,
"status": "partial",
"details": [
{
"code": "oversized_source_files",
"params": {
"kb": 60,
"sampled": 1436,
"oversized": 6
}
}
],
"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",
"pypi package 'open_spiel' points at a different repository (https://github.com/deepmind/open_spiel.git); excluded from ecosystem scoring",
"pypi package 'open-spiel' points at a different repository (https://github.com/deepmind/open_spiel.git); excluded from ecosystem scoring",
"Could not fetch crates package 'libopen_spiel-sys' from its registry"
],
"report_type": "repository",
"generated_at": "2026-07-26T09:41:56.844445Z",
"schema_version": "0.27.0",
"badge_url": "https://raw.githubusercontent.com/inspect-software/badges/main/v1/g/google-deepmind/open_spiel.svg",
"full_name": "google-deepmind/open_spiel",
"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 — PyPI.