Публічний реєстр
Звіт про здоров'я програмного забезпеченнясхема 0.29.0 · метрики 2.5.0 · 2026-08-02 22:21 UTC

biglocalnews / warn-scraper

Command-line interface for downloading WARN Act notices of qualified plant closings and mass layoffs from state government websites

PythonВласна ліцензія★ 43 зірки⑂ 18 форківз трав. 2020 р.Переглянути на GitHub ↗
ТипІнструмент командного рядкаБібліотекаяк це визначено

biglocalnews/warn-scraper має індекс здоров’я 89 зі 100, що відповідає смузі «Відмінний». Найвищий показник — Vitality (92/100), найнижчий — AI Readiness (40/100). Останнє оновлення — сьогодні. Більшість нещодавньої роботи виконують 2 учасники.

89
загалом / 100
Відмінний

Індекс здоров'я програмного забезпечення

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

89
Винятковий93-100Верхній щабель реєстру (≈ топ-5%); відповідає практично всім перевіреним критеріям
Відмінний80-92Сильний за всіма напрямами; незначні прогалини
Добрий65-79Здоровий; прогалини обмежені та керовані
Помірний50-64Прийнятний, але з помітними прогалинами; рекомендовано перевірку
Слабкий35-49Суттєві недоліки в кількох сферах
У зоні ризику20-34Суттєві слабкі місця; впровадження потребує обережності
Критичний1-19Серйозні проблеми (покинутий, єдиний мейнтейнер, без базової гігієни)
ЖиттєздатністьСпільнота тавпровадженняСталість таврядуванняІнженернаякістьБезпекаГотовність доШІ

Профіль оцінок

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

Зважений загальний бал 75 калібровано до 89 за шкалою опублікованого індексу (калібрування реєстру 2026-08-02).

Власність

BIG LOCAL NEWSОрганізація
87 підписників40 публічних репозиторіївз лист. 2018 р.

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

Пакетні екосистеми

РеєстрПакетВерсіяЗавантажень / місВерсіїОстання публікаціяТеги
PyPIwarn-scraper1.2.14325 342209148 днів томуwarn-actscraperswarn-act-datawarn-act-scrapers

Метрики за категоріями

Життєздатність

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

92Відмінний · 21% загального індексу
Як обчислюється оцінка
36/36Свіжість push — останній push 0 дн. тому
22.8/36Ритм комітів — 33/52 тижнів із комітами
18/18Обсяг комітів — 144 комітів за останній рік
10/10OpenSSF Scorecard: Maintained — 30 commit(s) and 0 issue activity found in the last 90 days -- score normalized to 10
Використані вхідні дані
commits_last_year144
human_commit_share1
days_since_last_push0
active_weeks_last_year33
Як обчислюється оцінка
27/27Випускає релізи — опубліковано 100 релізів
36/36Свіжість релізів — останній реліз 0 дн. тому
27/27Ритм релізів — реліз кожні ~2,8 дн.
0/10OpenSSF Scorecard: Signed-Releases — немає даних
Використані вхідні дані
releases_count100
latest_release_tag1.2.172
releases_from_tagsні
days_since_latest_release0
mean_days_between_releases2,8
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?

57Помірний · 17% загального індексу
Як обчислюється оцінка
26.3/60Зірки — 43 зірок
10.3/25Форки — 18 форків
4.7/15Спостерігачі — 8 спостерігачів
Використані вхідні дані
forks18
stars43
watchers8
growth_stateunverified
growth_factor_pct100
growth_unverified_reasonno_history
Як обчислюється оцінка
22.5/22.5README
16.9/22.5Ліцензія — файл ліцензії наявний, не є визнаною ліцензією
18/18Настанови CONTRIBUTING
0/13.5Кодекс поведінки
0/7.2Шаблон issue
0/6.3Шаблон PR
Використані вхідні дані
has_readmeтак
has_licenseтак
readme_badges0
has_contributingтак
has_issue_templateні
has_code_of_conductні
readme_badge_services
has_pull_request_templateні
Як обчислюється оцінка
58.7/80Щомісячні завантаження — 25 342 завантажень/місяць у pypi
0/20Залежні пакети в реєстрі — ця екосистема цього не повідомляє
Використані вхідні дані
packageswarn-scraper
dependents
ecosystemspypi
total_downloads
monthly_downloads25 342
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?

73Добрий · 23% загального індексу
Як обчислюється оцінка
25.2/54Бас-фактор — на 2 контриб’ютор(ів) припадає половина всіх комітів
13.5/22.5Розподіл комітів — головний контриб’ютор — автор 40% комітів
13.5/13.5Широта контриб’юторів — 11 контриб’юторів
10/10OpenSSF Scorecard: Contributors — project has 11 contributing companies or organizations
Використані вхідні дані
bus_factor2
contributors_sampled11
top_contributor_share0,402
Як обчислюється оцінка
36.1/42Вирішення issue — закрито 86% issue
23.2/30Прийняття PR — злито 281/364 вирішених PR
8.7/13Newcomer PR acceptance — злито 2/3 PR від новачків за 30 дн.
0/15OpenSSF Scorecard: Code-Review — Found 2/27 approved changesets -- score normalized to 0
Використані вхідні дані
merged_prs281
open_issues59
closed_issues363
prs_merged_7d0
prs_decided_7d1
prs_merged_30d2
prs_decided_30d3
issue_closed_ratio0,86
closed_unmerged_prs83
first_time_authors_30d1
first_time_prs_merged_30d2
first_time_prs_decided_30d3
Як обчислюється оцінка
30/30Підтримка власника — у власності організації
0/20Верифікований домен
14/25Охоплення власника — 87 підписників у biglocalnews
23.7/25Послужний список — 40 публічних репозиторіїв, вік облікового запису ~7 р.
Використані вхідні дані
followers87
owner_typeOrganization
is_verified
owner_loginbiglocalnews
public_repos40
account_age_days2 822

Супровід пакетів

100Винятковий
Як обчислюється оцінка
25/25Опубліковано й доступно — 1 пакет(ів) у pypi
35/35Свіжість публікацій — остання публікація 148 дн. тому
20/20Історія версій — 209 опублікованих версій
20/20Не застарілий — активний, не deprecated і не yanked
Використані вхідні дані
packageswarn-scraper
ecosystemspypi
any_deprecatedні
min_days_since_publish148

Інженерна якість

Чи наявні базові інженерні практики та документація?

92Відмінний · 19% загального індексу
Як обчислюється оцінка
24/24Процеси CI — 1 процес(ів) CI
24/24Наявні тести
16/16Конфігурація лінтера
9.6/9.6Pre-commit-хуки
0/6.4.editorconfig
20/20OpenSSF Scorecard: CI-Tests — 2 out of 2 merged PRs checked by a CI test -- score normalized to 10
Використані вхідні дані
has_ciтак
has_testsтак
has_editorconfigні
has_linter_configтак
has_precommit_configтак

Документація

90Відмінний
Як обчислюється оцінка
30/30README
25/25Каталог документації
15/15Сайт документації / домашня сторінка — https://warn-scraper.readthedocs.io
10/10Опис репозиторію
10/10Теми — 10 тем
0/10Wiki
Використані вхідні дані
topicsjournalism, data-journalism, news, cli, python, economics, warn, open-data, etl, labor
has_wikiні
homepagehttps://warn-scraper.readthedocs.io
has_readmeтак
has_docs_dirтак
has_descriptionтак

Безпека

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

66Добрий · 16% загального індексу

Стан безпеки

58Помірний
Як обчислюється оцінка
7.5/7.5Binary-Artifacts — no binaries found in the repo
0/7.5Branch-Protection — немає даних
2.5/2.5CI-Tests — 2 out of 2 merged PRs checked by a CI test -- score normalized to 10
0/2.5CII-Best-Practices — no effort to earn an OpenSSF best practices badge detected
0/7.5Code-Review — Found 2/27 approved changesets -- score normalized to 0
2.5/2.5Contributors — project has 11 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
2.2/2.5Ліцензія — license file detected
7.5/7.5Maintained — 30 commit(s) and 0 issue activity found in the last 90 days -- score normalized to 10
5/5Packaging — packaging workflow detected
0/5Pinned-Dependencies — dependency not pinned by hash detected -- score normalized to 0
0/5SAST — SAST tool is not run on all commits -- score normalized to 0
0/5Security-Policy — security policy file not detected
0/7.5Signed-Releases — немає даних
0/7.5Token-Permissions — detected GitHub workflow tokens with excessive permissions
7.5/7.5Vulnerabilities — 0 existing vulnerabilities detected
Використані вхідні дані
sourceopenssf_scorecard
checks_evaluated16
scorecard_versionv5.5.0
checks_inconclusive2
scorecard_aggregate5,8
Виключено з оцінювання (немає даних або не застосовно): branch_protection, signed_releases. Залишкові ваги перенормовано.
Як обчислюється оцінка
35/35Прямі залежності без відомих сповіщень — жодна пряма залежність не має відомих сповіщень
25/25Непрямі залежності без відомих сповіщень — жодна непряма залежність не має відомих сповіщень
0/40Немає задавнених сповіщень — жодне сповіщення не має дати публікації
Використані вхідні дані
sourceosv
advisories0
affected_packages0
assessed_packages42
unassessed_packages0
affected_by_severitynone
direct_affected_packages0
Виключено з оцінювання (немає даних або не застосовно): Немає задавнених сповіщень. Залишкові ваги перенормовано. Звірено з runtime-замиканням залежностей pypi:warn-scraper@1.2.143 — тим, що тягне за собою встановлення опублікованого пакета, — 42 пакетів. Досяжність не аналізується.

Готовність до ШІ

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

40Слабкий · 4% загального індексу
Як обчислюється оцінка
0/45Інструкції для агентів — немає CLAUDE.md / AGENTS.md / правил редактора
0/15Машиночитана документація (llms.txt)
5.3/40Читабельна історія комітів — намір зазначено у 10 з 100 людських комітів (структурований заголовок або пояснювальний текст)
Використані вхідні дані
has_llms_txtні
legible_history_share0,1
agent_instruction_files
agent_instruction_max_bytes
Як обчислюється оцінка
18/18Розгортання однією командою — Makefile, docs/Makefile
22/22Автоматизовані тести
11/11Конфігурація лінтера / форматера
0/11Статична перевірка типів
10/10Відтворюване середовище — devcontainer, lockfile
0/10Підтверджена практика роботи з агентами — серед останніх 100 комітів немає створених агентом
0/8Автоматизоване супроводження — автоматичних оновлень залежностей не виявлено
0/10OpenSSF Scorecard: Pinned-Dependencies — dependency not pinned by hash detected -- score normalized to 0
Використані вхідні дані
has_nixні
has_testsтак
lockfilesPipfile.lock
has_dockerfileні
typed_languageні
bootstrap_filesMakefile, docs/Makefile
has_devcontainerтак
has_linter_configтак
typecheck_configs
agent_commit_share0
toolchain_manifests
dependency_bot_commit_share0
Як обчислюється оцінка
0/45Типізований код — Python без конфігурації перевірки типів
55/55Керовані розміри файлів — 0/67 файлів вихідного коду понад 60 КБ
Використані вхідні дані
primary_languagePython
largest_source_bytes18 252
source_files_sampled67
oversized_source_files0

Ключові факти

43зірок GitHub
11контриб'юторів
144комітів за останні 12 місяців
0днів від останнього пушу
100релізів
2бас-фактор
59відкритих issue
PyPIпакетних екосистем

Попередження щодо збору даних

  • Star history unavailable: GitHub GraphQL error: Resource not accessible by personal access token

Докладніше

Історія зірок і форків 0 ★ / 18 ⇿
0Зірки
18Форки
73Релізи

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.

0481216201812022-012024-032026-05
Мажорні 0Мінорні 0Патчі 73

Кожна точка охоплює 4 днів.

OpenSSF Scorecard 5.8 / 10
5.8сукупно

Незалежна, не прив'язана до інструментів оцінка безпеки від відкритого проєкту OpenSSF Scorecard. Кожна перевірка винагороджує практику безпеки, а не інструмент конкретного постачальника. Перевірки, які Scorecard не зміг визначити, позначено н/д і виключено з оцінки безпеки (вони ніколи не зараховуються як нуль).Scorecard v5.5.0 · 2026-08-02 22:20 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
10CI-Tests2 out of 2 merged PRs checked by a CI test -- score normalized to 10
0CII-Best-Practicesno effort to earn an OpenSSF best practices badge detected
0Code-ReviewFound 2/27 approved changesets -- score normalized to 0
10Contributorsproject has 11 contributing companies or organizations
10Dangerous-Workflowno dangerous workflow patterns detected
10Dependency-Update-Toolupdate tool detected
0Fuzzingproject is not fuzzed
9Licenselicense file detected
10Maintained30 commit(s) and 0 issue activity found in the last 90 days -- score normalized to 10
10Packagingpackaging workflow detected
0Pinned-Dependenciesdependency not pinned by hash detected -- score normalized to 0
0SASTSAST tool is not run on all commits -- score normalized to 0
0Security-Policysecurity policy file not detected
н/дSigned-Releasesno releases found
0Token-Permissionsdetected GitHub workflow tokens with excessive permissions
10Vulnerabilities0 existing vulnerabilities detected
Прямі залежності 15
РеєстрПакетОбмеження версіїМаніфест
PyPIblnpyproject.toml
PyPIclickpyproject.toml
PyPIbeautifulsoup4pyproject.toml
PyPIhtml5libpyproject.toml
PyPIpdfplumberpyproject.toml
PyPIrequestspyproject.toml
PyPIopenpyxlpyproject.toml
PyPIpyopensslpyproject.toml
PyPIretry2pyproject.toml
PyPIseleniumpyproject.toml
PyPIstealtheniumpyproject.toml
PyPItenacitypyproject.toml
PyPIxlrdpyproject.toml
PyPIxvfbwrapperpyproject.toml
PyPIwebdriver-managerpyproject.toml
Усі залежності 164

Повний розв'язаний набір залежностей із графа залежностей GitHub: 30 прямих і 134 непрямих (транзитивних) пакетів. Транзитивне замикання є повним, коли в репозиторії закомічено lockfile.

РеєстрПакетВерсіяЗв'язок
PyPIbeautifulsoup4пряма
PyPIbeautifulsoup44.15.0пряма
PyPIblnпряма
PyPIbln2.3.18пряма
PyPIclickпряма
PyPIclick8.4.2пряма
PyPIhtml5libпряма
PyPIhtml5lib1.1пряма
PyPIopenpyxlпряма
PyPIopenpyxl3.1.5пряма
PyPIpdfplumberпряма
PyPIpdfplumber0.11.10пряма
PyPIpyopensslпряма
PyPIpyopenssl26.4.0пряма
PyPIrequestsпряма
PyPIrequests2.34.2пряма
PyPIretry2пряма
PyPIretry20.9.5пряма
PyPIseleniumпряма
PyPIselenium4.46.0пряма
PyPIstealtheniumпряма
PyPIstealthenium1.1.1пряма
PyPItenacityпряма
PyPItenacity9.1.4пряма
PyPIwebdriver-managerпряма
PyPIwebdriver-manager4.1.2пряма
PyPIxlrdпряма
PyPIxlrd2.0.2пряма
PyPIxvfbwrapperпряма
PyPIxvfbwrapper0.2.29пряма
PyPIalabaster1.0.0непряма
PyPIanyio4.14.2непряма
PyPIast-serialize0.6.0непряма
PyPIattrs26.1.0непряма
PyPIbabel2.18.0непряма
PyPIblack26.5.1непряма
PyPIbrotli1.2.0непряма
PyPIcertifi2026.7.22непряма
PyPIcffi2.1.0непряма
PyPIcfgv3.5.0непряма
PyPIchardet7.4.3непряма
PyPIcharset-normalizer3.4.9непряма
PyPIcolorama0.4.6непряма
PyPIcoverage7.15.3непряма
PyPIcryptography50.0.0непряма
PyPIcssselect1.5.0непряма
PyPIdecorator5.3.1непряма
PyPIdistlib0.4.3непряма
PyPIdocutils0.22.4непряма
PyPIet-xmlfile2.0.0непряма
PyPIexceptiongroup1.3.1непряма
PyPIfilelock3.32.2непряма
PyPIflake87.3.0непряма
PyPIflake8-bugbear25.11.29непряма
PyPIflake8-docstrings1.7.0непряма
PyPIh110.16.0непряма
PyPIid1.6.1непряма
PyPIidentify2.6.19непряма
PyPIidna3.18непряма
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Сповіщення про залежності 0

Встановлення pypi:warn-scraper@1.2.143 тягне 42 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
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                "key": "fuzzing",
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                "key": "pinned_dependencies",
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                "key": "sast",
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              {
                "key": "security_policy",
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              },
              {
                "key": "signed_releases",
                "name": "Signed-Releases",
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              },
              {
                "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": "0 existing vulnerabilities detected",
                "points": 7.5,
                "status": "met",
                "details": [],
                "max_points": 7.5
              }
            ]
          },
          {
            "key": "dependency_advisories",
            "band": "exceptional",
            "name": "Dependency advisories",
            "note": "Excluded from scoring (no data or not applicable): No advisories left outstanding. Remaining weights renormalized. Matched the pypi:warn-scraper@1.2.143 runtime dependency closure — what installing the published package pulls in — 42 packages. Reachability is not analyzed.",
            "notes": [
              {
                "code": "excluded_no_data",
                "params": {
                  "components": [
                    "no_advisories_left_outstanding"
                  ]
                }
              },
              {
                "code": "weights_renormalized",
                "params": {}
              },
              {
                "code": "advisories_scope_published",
                "params": {
                  "package": "pypi:warn-scraper@1.2.143",
                  "assessed": 42
                }
              },
              {
                "code": "advisories_reachability",
                "params": {}
              }
            ],
            "value": 100,
            "inputs": {
              "source": "osv",
              "advisories": 0,
              "affected_packages": 0,
              "assessed_packages": 42,
              "unassessed_packages": 0,
              "affected_by_severity": "none",
              "direct_affected_packages": 0
            },
            "components": [
              {
                "key": "direct_dependencies_free_of_known_advisories",
                "name": "Direct dependencies free of known advisories",
                "detail": "no direct dependency carries a known advisory",
                "points": 35,
                "status": "met",
                "details": [
                  {
                    "code": "no_direct_advisories",
                    "params": {}
                  }
                ],
                "max_points": 35
              },
              {
                "key": "indirect_dependencies_free_of_known_advisories",
                "name": "Indirect dependencies free of known advisories",
                "detail": "no indirect dependency carries a known advisory",
                "points": 25,
                "status": "met",
                "details": [
                  {
                    "code": "no_indirect_advisories",
                    "params": {}
                  }
                ],
                "max_points": 25
              },
              {
                "key": "no_advisories_left_outstanding",
                "name": "No advisories left outstanding",
                "detail": "no advisory carries a publication date",
                "points": 0,
                "status": "excluded",
                "details": [
                  {
                    "code": "advisories_no_publication_date",
                    "params": {}
                  }
                ],
                "max_points": 40
              }
            ]
          },
          {
            "key": "malicious_dependencies",
            "band": "exceptional",
            "name": "Malicious dependencies",
            "note": null,
            "notes": [],
            "value": 100,
            "inputs": {
              "source": "osv",
              "meaning": "reported as a malicious package by the OpenSSF corpus; the remedy is removal or moving off the compromised name, never an upgrade of the same artifact. Versions the registry has since pulled are listed but not scored",
              "packages": [],
              "red_flag": false,
              "assessed_packages": 42,
              "malicious_packages": 0,
              "direct_malicious_packages": 0,
              "withdrawn_malicious_packages": 0,
              "installable_malicious_packages": 0
            },
            "components": [
              {
                "key": "no_dependency_reported_as_a_malicious_package",
                "name": "No dependency reported as a malicious package",
                "detail": "no dependency is reported as a malicious package",
                "points": 100,
                "status": "met",
                "details": [
                  {
                    "code": "no_malicious_dependencies",
                    "params": {}
                  }
                ],
                "max_points": 100
              }
            ]
          },
          {
            "key": "high_risk_jurisdiction_exposure",
            "band": "exceptional",
            "name": "High-Risk Jurisdiction Exposure",
            "note": "Only high-confidence self-published location evidence affects this multiplier. Ambiguous matches are review-only; country evidence is not proof of nationality, citizenship, legal registration, malicious intent, or sanctions status.",
            "notes": [
              {
                "code": "jurisdiction_evidence_limits",
                "params": {}
              }
            ],
            "value": 100,
            "inputs": {
              "meaning": "self-published location evidence; not nationality or citizenship",
              "red_flag": false,
              "exposures": [],
              "policy_countries": [
                "Russia",
                "Iran",
                "North Korea"
              ],
              "commit_weight_rule": {
                "min_commits": 50,
                "min_commit_share": 0.1
              },
              "review_only_matches": 0,
              "below_threshold_exposures": [],
              "assessed_self_published_locations": 16
            },
            "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": "weak",
        "name": "AI Readiness",
        "value": 40,
        "weight": 0.04,
        "metrics": [
          {
            "key": "ai_agent_context",
            "band": "critical",
            "name": "Agent context & guidance",
            "note": null,
            "notes": [],
            "value": 5,
            "inputs": {
              "has_llms_txt": false,
              "legible_history_share": 0.1,
              "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": "10 of 100 human commits state their intent (structured subject or explanatory body)",
                "points": 5.3,
                "status": "partial",
                "details": [
                  {
                    "code": "legible_history",
                    "params": {
                      "legible": 10,
                      "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": [
                "Pipfile.lock"
              ],
              "has_dockerfile": false,
              "typed_language": false,
              "bootstrap_files": [
                "Makefile",
                "docs/Makefile"
              ],
              "has_devcontainer": true,
              "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": "Makefile, docs/Makefile",
                "points": 18,
                "status": "met",
                "details": [
                  {
                    "code": "file_list",
                    "params": {
                      "files": "Makefile, 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": 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": "devcontainer, lockfile",
                "points": 10,
                "status": "met",
                "details": [
                  {
                    "code": "file_list",
                    "params": {
                      "files": "devcontainer, lockfile"
                    }
                  }
                ],
                "max_points": 10
              },
              {
                "key": "demonstrated_agent_practice",
                "name": "Demonstrated agent practice",
                "detail": "no agent-authored commits among the last 100",
                "points": 0,
                "status": "missed",
                "details": [
                  {
                    "code": "no_agent_authored_commits",
                    "params": {
                      "sampled": 100
                    }
                  }
                ],
                "max_points": 10
              },
              {
                "key": "automated_maintenance",
                "name": "Automated maintenance",
                "detail": "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": "moderate",
            "name": "Code legibility for models",
            "note": null,
            "notes": [],
            "value": 55,
            "inputs": {
              "primary_language": "Python",
              "largest_source_bytes": 18252,
              "source_files_sampled": 67,
              "oversized_source_files": 0
            },
            "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": "0/67 source files over 60KB",
                "points": 55,
                "status": "met",
                "details": [
                  {
                    "code": "oversized_source_files",
                    "params": {
                      "kb": 60,
                      "sampled": 67,
                      "oversized": 0
                    }
                  }
                ],
                "max_points": 55
              }
            ]
          }
        ],
        "description": "How well is the repo equipped to be developed and maintained with AI coding agents? Carries a deliberately small weight: agent tooling is a real maintenance signal, but its absence must never gate the top of the scale (calibration saturates at raw 91, so 100/100 remains reachable with AI Readiness at zero)."
      }
    ],
    "classification": {
      "top": [
        "library",
        "application"
      ],
      "labels": [
        "cli",
        "library"
      ],
      "scores": {
        "cli": 8,
        "library": 6
      },
      "primary": "cli",
      "evidence": [
        {
          "tier": "distribution",
          "label": "library",
          "source": "registry:pypi",
          "weight": 6
        },
        {
          "tier": "dependencies",
          "label": "cli",
          "source": "dep:click",
          "weight": 4
        },
        {
          "tier": "description",
          "label": "cli",
          "source": "description:cli",
          "weight": 2
        },
        {
          "tier": "tags",
          "label": "cli",
          "source": "tag:cli",
          "weight": 2
        }
      ],
      "artifacts": [],
      "confidence": "medium",
      "host_extension": false,
      "runs_as_process": true,
      "consumed_by_code": true
    },
    "metrics_version": "2.5.0"
  },
  "warnings": [
    "Star history unavailable: GitHub GraphQL error: Resource not accessible by personal access token"
  ],
  "report_type": "repository",
  "generated_at": "2026-08-02T22:21:09.104661Z",
  "schema_version": "0.29.0",
  "badge_url": "https://raw.githubusercontent.com/inspect-software/badges/main/v1/b/biglocalnews/warn-scraper.svg",
  "full_name": "biglocalnews/warn-scraper",
  "license_state": "custom",
  "license_spdx": null
}

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

Відсутні дані виключаються, а ваги перенормовуються — нуль за відсутність ніколи не ставиться. Методологія версіонована й відкрита: метрики v2.5.0, схема v0.29.0 — повна методологія · вікі метрик.

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