Публічний реєстр
Звіт про здоров'я програмного забезпеченнясхема 0.12.0 · метрики 1.13.0 · 2026-07-18 00:22 UTC

jacob-bd / notebooklm-mcp-cli

Programmatic access to Google NotebookLM — via command-line interface (CLI), Model Context Protocol (MCP) server, and AI agent skills.

PythonMIT★ 5 492 зірки⑂ 847 форківз груд. 2025 р.Переглянути на GitHub ↗

jacob-bd/notebooklm-mcp-cli має індекс здоров’я 69 зі 100, що відповідає смузі «Помірний». Найвищий показник — Vitality (87/100), найнижчий — Security (41/100). Останнє оновлення — сьогодні. Більшість нещодавньої роботи виконує один учасник.

69
загалом / 100
Помірний

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.

69
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

Jacob BDОсобистий обліковий запис
332 підписники19 публічних репозиторіївз лют. 2019 р.

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

Пакетні екосистеми

РеєстрПакетВерсіяЗавантажень / місВерсіїОстання публікаціяТеги
PyPInotebooklm-mcp-cli0.8.9-1140 днів томуaicligooglemcpnotebooklmpodcastresearch

Метрики за категоріями

Життєздатність

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

87Відмінний · 22% загального індексу
Як обчислюється оцінка
36/36Свіжість push — останній push 0 дн. тому
20.8/36Ритм комітів — 30/52 тижнів із комітами
18/18Обсяг комітів — 696 комітів за останній рік
10/10OpenSSF Scorecard: Maintained — 30 commit(s) and 25 issue activity found in the last 90 days -- score normalized to 10
Використані вхідні дані
commits_last_year696
human_commit_share
days_since_last_push0
active_weeks_last_year30
Як обчислюється оцінка
27/27Випускає релізи — опубліковано 100 релізів
36/36Свіжість релізів — останній реліз 0 дн. тому
27/27Ритм релізів — реліз кожні ~1,9 дн.
0/10OpenSSF Scorecard: Signed-Releases — Project has not signed or included provenance with any releases.
Використані вхідні дані
releases_count100
latest_release_tagv0.8.9
releases_from_tagsні
days_since_latest_release0
mean_days_between_releases1,9

Спільнота та впровадження

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

82Добрий · 18% загального індексу
Як обчислюється оцінка
60/60Зірки — 5 492 зірок
24.4/25Форки — 847 форків
8.8/15Спостерігачі — 39 спостерігачів
Використані вхідні дані
forks847
stars5 492
watchers39
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
0/6.3Шаблон PR
Використані вхідні дані
has_readmeтак
has_licenseтак
has_contributingтак
has_issue_templateні
has_code_of_conductні
has_pull_request_templateні

Сталість та врядування

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

65Помірний · 24% загального індексу
Як обчислюється оцінка
9/54Бас-фактор — на 1 контриб’ютор(ів) припадає половина всіх комітів
3.7/22.5Розподіл комітів — головний контриб’ютор — автор 84% комітів
13.5/13.5Широта контриб’юторів — 51 контриб’юторів
10/10OpenSSF Scorecard: Contributors — project has 5 contributing companies or organizations
Використані вхідні дані
bus_factor1
contributors_sampled51
top_contributor_share0,836
Як обчислюється оцінка
46/46.8Вирішення issue — закрито 98% issue
25.6/38.3Прийняття PR — злито 87/130 вирішених PR
1.5/15OpenSSF Scorecard: Code-Review — Found 4/21 approved changesets -- score normalized to 1
Використані вхідні дані
merged_prs87
open_issues2
closed_issues130
issue_closed_ratio0,985
closed_unmerged_prs43
Як обчислюється оцінка
10/30Підтримка власника — особистий (користувацький) обліковий запис
0/20Верифікований домен — не застосовно до користувацьких облікових записів
18.1/25Охоплення власника — 332 підписників у jacob-bd
21.5/25Послужний список — 19 публічних репозиторіїв, вік облікового запису ~7 р.
Використані вхідні дані
followers332
owner_typeUser
is_verified
owner_loginjacob-bd
public_repos19
account_age_days2 710
Виключено з оцінювання (немає даних або не застосовно): Верифікований домен. Залишкові ваги перенормовано.

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 — 114 опублікованих версій
20/20Не застарілий — активний, не deprecated і не yanked
Використані вхідні дані
packagesnotebooklm-mcp-cli
ecosystemspypi
any_deprecatedні
min_days_since_publish0

Інженерна якість

Чи наявні базові інженерні практики та документація?

67Помірний · 20% загального індексу
Як обчислюється оцінка
24/24Процеси CI — 4 процес(ів) CI
24/24Наявні тести
0/16Конфігурація лінтера
0/9.6Pre-commit-хуки
0/6.4.editorconfig
20/20OpenSSF Scorecard: CI-Tests — 4 out of 4 merged PRs checked by a CI test -- score normalized to 10
Використані вхідні дані
has_ciтак
has_testsтак
has_editorconfigні
has_linter_configні
has_precommit_configні

Документація

65Помірний
Як обчислюється оцінка
30/30README
25/25Каталог документації
0/15Сайт документації / домашня сторінка
10/10Опис репозиторію
0/10Теми
0/10Wiki
Використані вхідні дані
topics
has_wikiні
homepage
has_readmeтак
has_docs_dirтак
has_descriptionтак

Безпека

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

41У зоні ризику · 16% загального індексу

Стан безпеки

41У зоні ризику
Як обчислюється оцінка
7.5/7.5Binary-Artifacts — no binaries found in the repo
0/7.5Branch-Protection — branch protection not enabled on development/release branches
2.5/2.5CI-Tests — 4 out of 4 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
0.8/7.5Code-Review — Found 4/21 approved changesets -- score normalized to 1
2.5/2.5Contributors — project has 5 contributing companies or organizations
10/10Dangerous-Workflow — no dangerous workflow patterns detected
0/7.5Dependency-Update-Tool — no update tool detected
0/5Fuzzing — project is not fuzzed
2.5/2.5Ліцензія — license file detected
7.5/7.5Maintained — 30 commit(s) and 25 issue activity found in the last 90 days -- score normalized to 10
5/5Packaging — packaging workflow detected
5/5Pinned-Dependencies — all dependencies are pinned
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 — Project has not signed or included provenance with any releases.
0/7.5Token-Permissions — detected GitHub workflow tokens with excessive permissions
0/7.5Vulnerabilities — 24 existing vulnerabilities detected
Використані вхідні дані
sourceopenssf_scorecard
checks_evaluated18
scorecard_versionv5.5.0
checks_inconclusive0
scorecard_aggregate4,1

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.

54Помірний · 0% загального індексу
Як обчислюється оцінка
45/45Інструкції для агентів — AGENTS.md, CLAUDE.md, GEMINI.md
0/15Машиночитана документація (llms.txt)
0/40Читабельна історія комітів — немає даних
Використані вхідні дані
has_llms_txtні
legible_history_share
agent_instruction_filesAGENTS.md, CLAUDE.md, GEMINI.md
agent_instruction_max_bytes13 347
Виключено з оцінювання (немає даних або не застосовно): Читабельна історія комітів. Залишкові ваги перенормовано.
Як обчислюється оцінка
0/18Розгортання однією командою
22/22Автоматизовані тести
0/11Конфігурація лінтера / форматера
0/11Статична перевірка типів
10/10Відтворюване середовище — lockfile
0/10Підтверджена практика роботи з агентами — немає даних
0/8Автоматизоване супроводження — немає даних
10/10OpenSSF Scorecard: Pinned-Dependencies — all dependencies are pinned
Використані вхідні дані
has_nixні
has_testsтак
lockfilesuv.lock
has_dockerfileні
typed_languageні
bootstrap_files
has_devcontainerні
has_linter_configні
typecheck_configs
agent_commit_share
toolchain_manifests
dependency_bot_commit_share
Виключено з оцінювання (немає даних або не застосовно): Підтверджена практика роботи з агентами, Автоматизоване супроводження. Залишкові ваги перенормовано.
Як обчислюється оцінка
0/45Типізований код — Python без конфігурації перевірки типів
55/55Керовані розміри файлів — 0/184 файлів вихідного коду понад 60 КБ
Використані вхідні дані
primary_languagePython
largest_source_bytes57 552
source_files_sampled184
oversized_source_files0
Як обчислюється оцінка
0/40Схема API (OpenAPI/GraphQL/proto)
20/20Сервер MCP
0/40Придатні до запуску приклади
Використані вхідні дані
example_dirs
has_mcp_signalтак
api_schema_files

Ключові факти

5 492зірок GitHub
51контриб'юторів
696комітів за останні 12 місяців
0днів від останнього пушу
100релізів
1бас-фактор
2відкритих issue
PyPIпакетних екосистем

Попередження щодо збору даних

  • GitHub dependency-graph SBOM unavailable (404); the dependency graph may be disabled for this repository

Докладніше

OpenSSF Scorecard 4.1 / 10
4.1сукупно

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 00:22 UTC

10Binary-Artifactsno binaries found in the repo
0Branch-Protectionbranch protection not enabled on development/release branches
10CI-Tests4 out of 4 merged PRs checked by a CI test -- score normalized to 10
0CII-Best-Practicesno effort to earn an OpenSSF best practices badge detected
1Code-ReviewFound 4/21 approved changesets -- score normalized to 1
10Contributorsproject has 5 contributing companies or organizations
10Dangerous-Workflowno dangerous workflow patterns detected
0Dependency-Update-Toolno update tool detected
0Fuzzingproject is not fuzzed
10Licenselicense file detected
10Maintained30 commit(s) and 25 issue activity found in the last 90 days -- score normalized to 10
10Packagingpackaging workflow detected
10Pinned-Dependenciesall dependencies are pinned
0SASTSAST tool is not run on all commits -- score normalized to 0
0Security-Policysecurity policy file not detected
0Signed-ReleasesProject has not signed or included provenance with any releases.
0Token-Permissionsdetected GitHub workflow tokens with excessive permissions
0Vulnerabilities24 existing vulnerabilities detected
Прямі залежності 9
РеєстрПакетОбмеження версіїМаніфест
PyPIhttpx>=0.27.0,<1.0pyproject.toml
PyPIpydantic>=2.0.0,<3.0pyproject.toml
PyPItyper>=0.9.0,<1.0pyproject.toml
PyPIrich>=13.0.0,<15.0pyproject.toml
PyPIwebsocket-client>=1.6.0,<2.0pyproject.toml
PyPIplatformdirs>=4.0.0,<5.0pyproject.toml
PyPIfastmcp>=2.0.0,<4.0pyproject.toml
PyPIpyyaml>=6.0,<7.0pyproject.toml
PyPItyping_extensions>=4.4.0pyproject.toml
Усі залежності не зібрано

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

Звіт у форматі JSON машиночитний
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      "owner_type": "User",
      "updated_at": "2026-07-17T22:20:32Z",
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          "name": "httpx",
          "manifest": "pyproject.toml",
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        {
          "name": "pydantic",
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        {
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          "manifest": "pyproject.toml",
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                ],
                "max_points": 25
              },
              {
                "key": "track_record",
                "name": "Track record",
                "detail": "19 public repos, account ~7 yr old",
                "points": 21.5,
                "status": "partial",
                "details": [
                  {
                    "code": "public_repos",
                    "params": {
                      "count": 19
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                  },
                  {
                    "code": "account_age_years",
                    "params": {
                      "years": 7
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                  }
                ],
                "max_points": 25
              }
            ]
          },
          {
            "key": "package_maintenance",
            "band": "excellent",
            "name": "Package maintenance",
            "note": null,
            "notes": [],
            "value": 100,
            "inputs": {
              "packages": [
                "notebooklm-mcp-cli"
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              "ecosystems": "pypi",
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              {
                "key": "published_resolvable",
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                "detail": "1 package(s) on pypi",
                "points": 25,
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                "max_points": 25
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                "key": "publish_recency",
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                "detail": "latest publish 0 days ago",
                "points": 35,
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                "key": "version_history",
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                "points": 20,
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                "key": "not_deprecated",
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                "points": 20,
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        "key": "engineering",
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                "key": "tests_present",
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                "key": "openssf_scorecard_ci_tests",
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            "key": "documentation",
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                "key": "documentation_directory",
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                "points": 0,
                "status": "missed",
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                "key": "repository_description",
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                "points": 0,
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                "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
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                "key": "code_review",
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                "key": "dependency_update_tool",
                "name": "Dependency-Update-Tool",
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                "points": 0,
                "status": "missed",
                "details": [],
                "max_points": 7.5
              },
              {
                "key": "fuzzing",
                "name": "Fuzzing",
                "detail": "project is not fuzzed",
                "points": 0,
                "status": "missed",
                "details": [],
                "max_points": 5
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                "key": "license",
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                "max_points": 2.5
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                "key": "maintained",
                "name": "Maintained",
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                "points": 7.5,
                "status": "met",
                "details": [],
                "max_points": 7.5
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                "key": "packaging",
                "name": "Packaging",
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                "points": 5,
                "status": "met",
                "details": [],
                "max_points": 5
              },
              {
                "key": "pinned_dependencies",
                "name": "Pinned-Dependencies",
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                "points": 5,
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                "key": "sast",
                "name": "SAST",
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                "status": "missed",
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                "max_points": 5
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                "key": "security_policy",
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                "points": 0,
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                "max_points": 5
              },
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                "key": "signed_releases",
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                "key": "token_permissions",
                "name": "Token-Permissions",
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                "points": 0,
                "status": "missed",
                "details": [],
                "max_points": 7.5
              },
              {
                "key": "vulnerabilities",
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                "points": 0,
                "status": "missed",
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                "max_points": 7.5
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          {
            "key": "high_risk_jurisdiction_exposure",
            "band": "excellent",
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            "notes": [
              {
                "code": "jurisdiction_evidence_limits",
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            "value": 100,
            "inputs": {
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              "red_flag": false,
              "exposures": [],
              "policy_countries": [
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                "Iran",
                "North Korea"
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              "review_only_matches": 0,
              "assessed_self_published_locations": 6
            },
            "components": [
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                "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
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          }
        ],
        "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": 54,
        "weight": 0,
        "metrics": [
          {
            "key": "ai_agent_context",
            "band": "good",
            "name": "Agent context & guidance",
            "note": "Excluded from scoring (no data or not applicable): Legible commit history. Remaining weights renormalized.",
            "notes": [
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            "value": 75,
            "inputs": {
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              "legible_history_share": null,
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                "key": "agent_instructions",
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                "points": 0,
                "status": "missed",
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                "key": "legible_commit_history",
                "name": "Legible commit history",
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                "points": 0,
                "status": "excluded",
                "details": [
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                ],
                "max_points": 40
              }
            ]
          },
          {
            "key": "ai_verify_loop",
            "band": "moderate",
            "name": "Verify loop (build / test / typecheck)",
            "note": "Excluded from scoring (no data or not applicable): Demonstrated agent practice, Automated maintenance. Remaining weights renormalized.",
            "notes": [
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                "code": "excluded_no_data",
                "params": {
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                "points": 0,
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                "name": "Reproducible environment",
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                "status": "met",
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                "key": "demonstrated_agent_practice",
                "name": "Demonstrated agent practice",
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            "key": "ai_interfaces",
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            "note": null,
            "notes": [],
            "value": 20,
            "inputs": {
              "example_dirs": [],
              "has_mcp_signal": true,
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            },
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              },
              {
                "key": "mcp_server",
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                "points": 20,
                "status": "met",
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              },
              {
                "key": "runnable_examples",
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                "status": "missed",
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            ]
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        ],
        "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": [
    "GitHub dependency-graph SBOM unavailable (404); the dependency graph may be disabled for this repository"
  ],
  "report_type": "repository",
  "generated_at": "2026-07-18T00:22:33.629652Z",
  "schema_version": "0.12.0",
  "badge_url": "https://raw.githubusercontent.com/inspect-software/badges/main/v1/j/jacob-bd/notebooklm-mcp-cli.svg",
  "full_name": "jacob-bd/notebooklm-mcp-cli",
  "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 v0.12.0 — повна методологія · вікі метрик.

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