Публічний реєстр
Звіт про здоров'я програмного забезпеченнясхема 0.14.0 · метрики 1.13.0 · 2026-07-18 17:25 UTC

SuperCowPowers / workbench

Workbench: An easy to use Python API for creating and deploying AWS SageMaker Models

PythonMIT★ 51 зірка⑂ 7 форківз груд. 2022 р.Переглянути на GitHub ↗

SuperCowPowers/workbench має індекс здоров’я 72 зі 100, що відповідає смузі «Добрий». Найвищий показник — Vitality (96/100), найнижчий — AI Readiness (44/100). Останнє оновлення — сьогодні. Більшість нещодавньої роботи виконує один учасник.

72
загалом / 100
Добрий

Індекс 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.

72
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)
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.

Власність

SuperCowPowersОрганізація
29 підписників13 публічних репозиторіївз бер. 2014 р.

За цим репозиторієм стоїть організація — спільна, підзвітна опіка, здатна пережити будь-якого окремого мейнтейнера.

Пакетні екосистеми

РеєстрПакетВерсіяЗавантажень / місВерсіїОстання публікаціяТеги
PyPIworkbench0.8.40910 1443300 днів томуsagemakermachine-learningawspythonutilities

Метрики за категоріями

Життєздатність

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

96Відмінний · 22% загального індексу
Як обчислюється оцінка
36/36Свіжість push — останній push 0 дн. тому
36/36Ритм комітів — 52/52 тижнів із комітами
18/18Обсяг комітів — 2 128 комітів за останній рік
10/10OpenSSF Scorecard: Maintained — 30 commit(s) and 3 issue activity found in the last 90 days -- score normalized to 10
Використані вхідні дані
commits_last_year2 128
human_commit_share
days_since_last_push0
active_weeks_last_year52
Як обчислюється оцінка
27/27Випускає релізи — опубліковано 100 релізів
36/36Свіжість релізів — останній реліз 0 дн. тому
27/27Ритм релізів — реліз кожні ~1,1 дн.
0/10OpenSSF Scorecard: Signed-Releases — Project has not signed or included provenance with any releases.
Використані вхідні дані
releases_count100
latest_release_tagv0.8.409
releases_from_tagsні
days_since_latest_release0
mean_days_between_releases1,1

Спільнота та впровадження

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

57Помірний · 18% загального індексу
Як обчислюється оцінка
27.6/60Зірки — 51 зірок
6.5/25Форки — 7 форків
0/15Спостерігачі — 2 спостерігачів
Використані вхідні дані
forks7
stars51
watchers2
growth_stateunverified
growth_factor_pct100
growth_unverified_reasonno_history
Як обчислюється оцінка
22.5/22.5README
22.5/22.5Ліцензія — визнана ліцензія (MIT)
18/18Настанови CONTRIBUTING
0/13.5Кодекс поведінки
0/7.2Шаблон issue
6.3/6.3Шаблон PR
Використані вхідні дані
has_readmeтак
has_licenseтак
has_contributingтак
has_issue_templateні
has_code_of_conductні
has_pull_request_templateтак
Як обчислюється оцінка
53.4/80Щомісячні завантаження — 10 144 завантажень/місяць у pypi
0/20Залежні пакети в реєстрі — ця екосистема цього не повідомляє
Використані вхідні дані
packagesworkbench
dependents
ecosystemspypi
total_downloads
monthly_downloads10 144
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?

58Помірний · 24% загального індексу
Як обчислюється оцінка
9/54Бас-фактор — на 1 контриб’ютор(ів) припадає половина всіх комітів
0.3/22.5Розподіл комітів — головний контриб’ютор — автор 99% комітів
10.8/13.5Широта контриб’юторів — 8 контриб’юторів
10/10OpenSSF Scorecard: Contributors — project has 6 contributing companies or organizations
Використані вхідні дані
bus_factor1
contributors_sampled8
top_contributor_share0,986
Як обчислюється оцінка
28.3/46.8Вирішення issue — закрито 60% issue
27.7/38.3Прийняття PR — злито 81/112 вирішених PR
0/15OpenSSF Scorecard: Code-Review — Found 0/30 approved changesets -- score normalized to 0
Використані вхідні дані
merged_prs81
open_issues192
closed_issues294
issue_closed_ratio0,605
closed_unmerged_prs31
Як обчислюється оцінка
30/30Підтримка власника — у власності організації
0/20Верифікований домен
10.6/25Охоплення власника — 29 підписників у SuperCowPowers
20.3/25Послужний список — 13 публічних репозиторіїв, вік облікового запису ~12 р.
Використані вхідні дані
followers29
owner_typeOrganization
is_verified
owner_loginSuperCowPowers
public_repos13
account_age_days4 513

Супровід пакетів

100Відмінний
Як обчислюється оцінка
25/25Опубліковано й доступно — 1 пакет(ів) у pypi
35/35Свіжість публікацій — остання публікація 0 дн. тому
20/20Історія версій — 330 опублікованих версій
20/20Не застарілий — активний, не deprecated і не yanked
Використані вхідні дані
packagesworkbench
ecosystemspypi
any_deprecatedні
min_days_since_publish0

Інженерна якість

Чи наявні базові інженерні практики та документація?

95Відмінний · 20% загального індексу
Як обчислюється оцінка
24/24Процеси CI — 7 процес(ів) CI
24/24Наявні тести
16/16Конфігурація лінтера — .flake8, tox.ini
9.6/9.6Pre-commit-хуки
0/6.4.editorconfig
0/20OpenSSF Scorecard: CI-Tests — немає даних
Використані вхідні дані
has_ciтак
has_testsтак
has_editorconfigні
has_linter_configтак
has_precommit_configтак
Виключено з оцінювання (немає даних або не застосовно): OpenSSF Scorecard: CI-Tests. Залишкові ваги перенормовано.

Документація

100Відмінний
Як обчислюється оцінка
30/30README
25/25Каталог документації
15/15Сайт документації / домашня сторінка — https://www.supercowpowers.com
10/10Опис репозиторію
10/10Теми — 7 тем
10/10Wiki
Використані вхідні дані
topicsaws, big-data, machine-learning, python, spark, data-engineering, pandas
has_wikiтак
homepagehttps://www.supercowpowers.com
has_readmeтак
has_docs_dirтак
has_descriptionтак

Безпека

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

50Помірний · 16% загального індексу

Стан безпеки

50Помірний
Як обчислюється оцінка
7.5/7.5Binary-Artifacts — no binaries found in the repo
0/7.5Branch-Protection — немає даних
0/2.5CI-Tests — немає даних
0/2.5CII-Best-Practices — no effort to earn an OpenSSF best practices badge detected
0/7.5Code-Review — Found 0/30 approved changesets -- score normalized to 0
2.5/2.5Contributors — project has 6 contributing companies or organizations
10/10Dangerous-Workflow — no dangerous workflow patterns detected
7.5/7.5Dependency-Update-Tool — update tool detected
0/5Fuzzing — project is not fuzzed
2.5/2.5Ліцензія — license file detected
7.5/7.5Maintained — 30 commit(s) and 3 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 — no SAST tool detected
5/5Security-Policy — security policy file detected
0/7.5Signed-Releases — Project has not signed or included provenance with any releases.
0/7.5Token-Permissions — detected GitHub workflow tokens with excessive permissions
0/7.5Vulnerabilities — 10 existing vulnerabilities detected
Використані вхідні дані
sourceopenssf_scorecard
checks_evaluated16
scorecard_versionv5.5.0
checks_inconclusive2
scorecard_aggregate5
Виключено з оцінювання (немає даних або не застосовно): branch_protection, ci_tests. Залишкові ваги перенормовано.

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.

44У зоні ризику · 0% загального індексу
Як обчислюється оцінка
0/45Інструкції для агентів — немає CLAUDE.md / AGENTS.md / правил редактора
0/15Машиночитана документація (llms.txt)
0/40Читабельна історія комітів — немає даних
Використані вхідні дані
has_llms_txtні
legible_history_share
agent_instruction_files
agent_instruction_max_bytes
Виключено з оцінювання (немає даних або не застосовно): Читабельна історія комітів. Залишкові ваги перенормовано.
Як обчислюється оцінка
18/18Розгортання однією командою — Makefile
22/22Автоматизовані тести
11/11Конфігурація лінтера / форматера — .flake8, tox.ini
0/11Статична перевірка типів
10/10Відтворюване середовище — Dockerfile, lockfile
0/10Підтверджена практика роботи з агентами — немає даних
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_nixні
has_testsтак
lockfilesuv.lock
has_dockerfileтак
typed_languageні
bootstrap_filesMakefile
has_devcontainerні
has_linter_configтак
typecheck_configs
agent_commit_share
toolchain_manifests
dependency_bot_commit_share0
Виключено з оцінювання (немає даних або не застосовно): Підтверджена практика роботи з агентами. Залишкові ваги перенормовано.
Як обчислюється оцінка
0/45Типізований код — Python без конфігурації перевірки типів
54.7/55Керовані розміри файлів — 4/637 файлів вихідного коду понад 60 КБ
Використані вхідні дані
primary_languagePython
largest_source_bytes70 242
source_files_sampled637
oversized_source_files4
Як обчислюється оцінка
0/40Схема API (OpenAPI/GraphQL/proto)
0/20Сервер MCP
40/40Придатні до запуску приклади — examples, notebooks
Використані вхідні дані
example_dirsexamples, notebooks
has_mcp_signalні
api_schema_files

Ключові факти

51зірок GitHub
8контриб'юторів
2 128комітів за останні 12 місяців
0днів від останнього пушу
100релізів
1бас-фактор
192відкритих issue
PyPIпакетних екосистем

Докладніше

OpenSSF Scorecard 5.0 / 10
5.0сукупно

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 · 2026-07-18 17:24 UTC

10Binary-Artifactsno binaries found in the repo
н/дBranch-Protectioninternal 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
н/дCI-Testsno pull request found
0CII-Best-Practicesno effort to earn an OpenSSF best practices badge detected
0Code-ReviewFound 0/30 approved changesets -- score normalized to 0
10Contributorsproject has 6 contributing companies or organizations
10Dangerous-Workflowno dangerous workflow patterns detected
10Dependency-Update-Toolupdate tool detected
0Fuzzingproject is not fuzzed
10Licenselicense file detected
10Maintained30 commit(s) and 3 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
0SASTno SAST tool detected
10Security-Policysecurity policy file detected
0Signed-ReleasesProject has not signed or included provenance with any releases.
0Token-Permissionsdetected GitHub workflow tokens with excessive permissions
0Vulnerabilities10 existing vulnerabilities detected
Прямі залежності 22
РеєстрПакетОбмеження версіїМаніфест
PyPIboto3>= 1.42.2pyproject.toml
PyPIbotocore>= 1.42.2pyproject.toml
PyPIawswrangler>= 3.4.0pyproject.toml
PyPIsagemaker>= 3.6.0, < 3.13pyproject.toml
PyPIsagemaker-core>= 2.12.0, < 2.13pyproject.toml
PyPIsagemaker-mlops>= 1.12.0, < 1.13pyproject.toml
PyPIsagemaker-serve>= 1.12.0, < 1.13pyproject.toml
PyPIsagemaker-train>= 1.12.0, < 1.13pyproject.toml
PyPIredis>= 5.0.1pyproject.toml
PyPIcryptography>= 46.0.0pyproject.toml
PyPIrequests>= 2.26.0pyproject.toml
PyPIaiobotocore>= 3.7.0pyproject.toml
PyPIpandas>= 2.2.1, < 3.0pyproject.toml
PyPIscikit-learn>= 1.5.2pyproject.toml
PyPIxgboost>= 3.0.3pyproject.toml
PyPIjoblib>= 1.3.2pyproject.toml
PyPIrdkit>= 2026.3.1pyproject.toml
PyPImordredcommunity>= 2.0.6pyproject.toml
PyPIipython>= 8.37.0pyproject.toml
PyPIpyreadline3pyproject.toml
PyPImatplotlib>= 3.9.2pyproject.toml
PyPInetworkx>= 3.2pyproject.toml
Усі залежності 295

Повний розв'язаний набір залежностей із графа залежностей GitHub: 35 прямих і 260 непрямих (транзитивних) пакетів. Транзитивне замикання є повним, коли в репозиторії закомічено lockfile.

РеєстрПакетВерсіяЗв'язок
PyPIaiobotocore3.7.0пряма
PyPIawswranglerпряма
PyPIawswrangler3.16.1пряма
PyPIboto3пряма
PyPIboto31.43.0пряма
PyPIbotocoreпряма
PyPIbotocore1.43.0пряма
PyPIcryptography48.0.1пряма
PyPIipython8.39.0пряма
PyPIipython9.14.1пряма
PyPIjoblibпряма
PyPIjoblib1.5.3пряма
PyPImatplotlib3.10.9пряма
PyPImordredcommunityпряма
PyPImordredcommunity2.0.7пряма
PyPInetworkxпряма
PyPInetworkx3.4.2пряма
PyPInetworkx3.6.1пряма
PyPIpandasпряма
PyPIpandas2.3.3пряма
PyPIpyreadline33.5.6пряма
PyPIrdkitпряма
PyPIrdkit2026.3.3пряма
PyPIredis8.0.0пряма
PyPIrequestsпряма
PyPIrequests2.34.2пряма
PyPIsagemaker3.12.0пряма
PyPIsagemaker-core2.12.0пряма
PyPIsagemaker-mlops1.12.0пряма
PyPIsagemaker-serve1.12.0пряма
PyPIsagemaker-train1.12.0пряма
PyPIscikit-learnпряма
PyPIscikit-learn1.7.2пряма
PyPIscikit-learn1.9.0пряма
PyPIxgboost3.2.0пряма
PyPIaiohappyeyeballs2.6.2непряма
PyPIaiohttp3.14.1непряма
PyPIaioitertools0.13.0непряма
PyPIaiosignal1.4.0непряма
PyPIalembic1.18.4непряма
PyPIannotated-doc0.0.4непряма
PyPIannotated-types0.7.0непряма
PyPIantlr4-python3-runtime4.9.3непряма
PyPIanyio4.13.0непряма
PyPIasgirefнепряма
PyPIasttokens3.0.1непряма
PyPIasync-timeout5.0.1непряма
PyPIattrs26.1.0непряма
PyPIaws-cdk-asset-awscli-v12.2.282непряма
PyPIaws-cdk-asset-node-proxy-agent-v62.1.2непряма
PyPIaws-cdk-cloud-assembly-schema54.8.0непряма
PyPIaws-cdk-libнепряма
PyPIaws-cdk-lib2.211.0непряма
PyPIaws-cdk-lib2.261.0непряма
PyPIbabel2.18.0непряма
PyPIbackrefs7.0непряма
PyPIbcrypt5.0.0непряма
PyPIblackнепряма
PyPIblack26.5.1непряма
PyPIblinker1.9.0непряма
PyPIbrotli1.2.0непряма
PyPIcachebox5.2.3непряма
PyPIcachetools6.2.6непряма
PyPIcattrs26.1.0непряма
PyPIcertifi2026.5.20непряма
PyPIcffi2.0.0непряма
PyPIcharset-normalizer3.4.7непряма
PyPIchempropнепряма
PyPIclick8.4.1непряма
PyPIcloudpickle3.1.2непряма
PyPIcolorama0.4.6непряма
PyPIcolorlog6.10.1непряма
PyPIconstructsнепряма
PyPIconstructs10.6.0непряма
PyPIcontourpy1.3.2непряма
PyPIcontourpy1.3.3непряма
PyPIcoverageнепряма
PyPIcoverage7.14.1непряма
PyPIcuda-bindings13.3.1непряма
PyPIcuda-pathfinder1.5.5непряма
PyPIcuda-toolkit13.0.2непряма
PyPIcycler0.12.1непряма
PyPIdash4.2.0непряма
PyPIdash-ag-grid35.2.0непряма
PyPIdash-bootstrap-components2.0.4непряма
PyPIdatabricks-sdk0.116.0непряма
PyPIdecorator5.3.1непряма
PyPIdeepdiff9.1.0непряма
PyPIdocker7.1.0непряма
PyPIexceptiongroup1.3.1непряма
PyPIexecnet2.1.2непряма
PyPIexecuting2.2.1непряма
PyPIfastapiнепряма
PyPIfastapi0.136.3непряма
PyPIfilelock3.29.3непряма
PyPIflake8непряма
PyPIflake87.3.0непряма
PyPIflask3.1.3непряма
PyPIflask-cors6.0.5непряма
PyPIflatbuffers25.12.19непряма
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Звіт у форматі JSON машиночитний
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          {
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                "key": "owner_reach",
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                "points": 10,
                "status": "met",
                "details": [
                  {
                    "code": "topics_count",
                    "params": {
                      "count": 7
                    }
                  }
                ],
                "max_points": 10
              },
              {
                "key": "wiki",
                "name": "Wiki",
                "detail": null,
                "points": 10,
                "status": "met",
                "details": [],
                "max_points": 10
              }
            ]
          }
        ],
        "description": "Are baseline engineering and documentation practices in place?"
      },
      {
        "key": "security",
        "band": "moderate",
        "name": "Security",
        "value": 50,
        "weight": 0.16,
        "metrics": [
          {
            "key": "security_posture",
            "band": "moderate",
            "name": "Security posture",
            "note": "Excluded from scoring (no data or not applicable): Branch-Protection, CI-Tests. Remaining weights renormalized.",
            "notes": [
              {
                "code": "excluded_no_data",
                "params": {
                  "components": [
                    "branch_protection",
                    "ci_tests"
                  ]
                }
              },
              {
                "code": "weights_renormalized",
                "params": {}
              }
            ],
            "value": 50,
            "inputs": {
              "source": "openssf_scorecard",
              "checks_evaluated": 16,
              "scorecard_version": "v5.5.0",
              "checks_inconclusive": 2,
              "scorecard_aggregate": 5
            },
            "components": [
              {
                "key": "binary_artifacts",
                "name": "Binary-Artifacts",
                "detail": "no binaries found in the repo",
                "points": 7.5,
                "status": "met",
                "details": [],
                "max_points": 7.5
              },
              {
                "key": "branch_protection",
                "name": "Branch-Protection",
                "detail": "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",
                "points": 0,
                "status": "excluded",
                "details": [
                  {
                    "code": "no_data",
                    "params": {}
                  }
                ],
                "max_points": 7.5
              },
              {
                "key": "ci_tests",
                "name": "CI-Tests",
                "detail": "no pull request found",
                "points": 0,
                "status": "excluded",
                "details": [
                  {
                    "code": "no_data",
                    "params": {}
                  }
                ],
                "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 0/30 approved changesets -- score normalized to 0",
                "points": 0,
                "status": "missed",
                "details": [],
                "max_points": 7.5
              },
              {
                "key": "contributors",
                "name": "Contributors",
                "detail": "project has 6 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 not fuzzed",
                "points": 0,
                "status": "missed",
                "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 3 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": "no SAST tool detected",
                "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": "Project has not signed or included provenance with any releases.",
                "points": 0,
                "status": "missed",
                "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": "10 existing vulnerabilities detected",
                "points": 0,
                "status": "missed",
                "details": [],
                "max_points": 7.5
              }
            ]
          },
          {
            "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": 3
            },
            "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": 44,
        "weight": 0,
        "metrics": [
          {
            "key": "ai_agent_context",
            "band": "critical",
            "name": "Agent context & guidance",
            "note": "Excluded from scoring (no data or not applicable): Legible commit history. Remaining weights renormalized.",
            "notes": [
              {
                "code": "excluded_no_data",
                "params": {
                  "components": [
                    "legible_commit_history"
                  ]
                }
              },
              {
                "code": "weights_renormalized",
                "params": {}
              }
            ],
            "value": 1,
            "inputs": {
              "has_llms_txt": false,
              "legible_history_share": null,
              "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": "no data",
                "points": 0,
                "status": "excluded",
                "details": [
                  {
                    "code": "no_data",
                    "params": {}
                  }
                ],
                "max_points": 40
              }
            ]
          },
          {
            "key": "ai_verify_loop",
            "band": "good",
            "name": "Verify loop (build / test / typecheck)",
            "note": "Excluded from scoring (no data or not applicable): Demonstrated agent practice. Remaining weights renormalized.",
            "notes": [
              {
                "code": "excluded_no_data",
                "params": {
                  "components": [
                    "demonstrated_agent_practice"
                  ]
                }
              },
              {
                "code": "weights_renormalized",
                "params": {}
              }
            ],
            "value": 73,
            "inputs": {
              "has_nix": false,
              "has_tests": true,
              "lockfiles": [
                "uv.lock"
              ],
              "has_dockerfile": true,
              "typed_language": false,
              "bootstrap_files": [
                "Makefile"
              ],
              "has_devcontainer": false,
              "has_linter_config": true,
              "typecheck_configs": [],
              "agent_commit_share": null,
              "toolchain_manifests": [],
              "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": ".flake8, tox.ini",
                "points": 11,
                "status": "met",
                "details": [
                  {
                    "code": "file_list",
                    "params": {
                      "files": ".flake8, tox.ini"
                    }
                  }
                ],
                "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": "Dockerfile, lockfile",
                "points": 10,
                "status": "met",
                "details": [
                  {
                    "code": "file_list",
                    "params": {
                      "files": "Dockerfile, lockfile"
                    }
                  }
                ],
                "max_points": 10
              },
              {
                "key": "demonstrated_agent_practice",
                "name": "Demonstrated agent practice",
                "detail": "no data",
                "points": 0,
                "status": "excluded",
                "details": [
                  {
                    "code": "no_data",
                    "params": {}
                  }
                ],
                "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": "moderate",
            "name": "Code legibility for models",
            "note": null,
            "notes": [],
            "value": 55,
            "inputs": {
              "primary_language": "Python",
              "largest_source_bytes": 70242,
              "source_files_sampled": 637,
              "oversized_source_files": 4
            },
            "components": [
              {
                "key": "type_checkable_code",
                "name": "Type-checkable code",
                "detail": "Python without a type-check config",
                "points": 0,
                "status": "missed",
                "details": [
                  {
                    "code": "no_typecheck_config_language",
                    "params": {
                      "language": "Python"
                    }
                  }
                ],
                "max_points": 45
              },
              {
                "key": "manageable_file_sizes",
                "name": "Manageable file sizes",
                "detail": "4/637 source files over 60KB",
                "points": 54.7,
                "status": "partial",
                "details": [
                  {
                    "code": "oversized_source_files",
                    "params": {
                      "kb": 60,
                      "sampled": 637,
                      "oversized": 4
                    }
                  }
                ],
                "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": [],
  "report_type": "repository",
  "generated_at": "2026-07-18T17:25:10.029741Z",
  "schema_version": "0.14.0",
  "badge_url": "https://raw.githubusercontent.com/inspect-software/badges/main/v1/s/SuperCowPowers/workbench.svg",
  "full_name": "SuperCowPowers/workbench",
  "license_state": "standard",
  "license_spdx": "MIT"
}

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 v0.14.0 — повна методологія · вікі метрик.

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