Публічний реєстр
Звіт про здоров'я програмного забезпеченнясхема 0.30.0 · метрики 2.5.0 · 2026-08-04 00:55 UTC

depalmar / ai_for_the_win

Build AI-powered security tools. 50+ hands-on labs covering ML, LLMs, RAG, threat detection, DFIR, and red teaming. Includes Colab notebooks, Docker environment, and CTF challenges.

Python · Jupyter NotebookВласна ліцензія★ 157 зірок⑂ 24 форкиз груд. 2025 р.Переглянути на GitHub ↗

depalmar/ai_for_the_win має індекс здоров’я 81 зі 100, що відповідає смузі «Відмінний». Найвищий показник — Engineering Quality (95/100), найнижчий — Sustainability & Governance (50/100). Останнє оновлення було 2 дні тому. Більшість нещодавньої роботи виконує один учасник.

81
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»).

81
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 69 калібровано до 81 за шкалою опублікованого індексу (калібрування реєстру 2026-08-02).

Власність

Raymond DePalmaОсобистий обліковий запис
24 підписники4 публічні репозиторіїз жовт. 2019 р.

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

Метрики за категоріями

Життєздатність

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

73Добрий · 21% загального індексу
Як обчислюється оцінка
36/36Свіжість push — останній push 2 дн. тому
8.3/36Ритм комітів — 12/52 тижнів із комітами
18/18Обсяг комітів — 268 комітів за останній рік
0/10OpenSSF Scorecard: Maintained — немає даних
Використані вхідні дані
commits_last_year268
human_commit_share0,85
days_since_last_push2
active_weeks_last_year12
Як обчислюється оцінка
27/27Випускає релізи — опубліковано 11 релізів
16.2/36Свіжість релізів — останній реліз 205 дн. тому
27/27Ритм релізів — реліз кожні ~0,9 дн.
0/10OpenSSF Scorecard: Signed-Releases — немає даних
Використані вхідні дані
releases_count11
latest_release_tagv1.9.0
releases_from_tagsні
days_since_latest_release205
mean_days_between_releases0,9

Спільнота та впровадження

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

58Помірний · 17% загального індексу
Як обчислюється оцінка
35.6/60Зірки — 157 зірок
11.3/25Форки — 24 форків
0/15Спостерігачі — 2 спостерігачів
Використані вхідні дані
forks24
stars157
watchers2
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
6.3/6.3Шаблон PR
Використані вхідні дані
has_readmeтак
has_licenseтак
readme_badges60
has_contributingтак
has_issue_templateні
has_code_of_conductні
readme_badge_servicesgithub.com, shields.io
has_pull_request_templateтак

Сталість та врядування

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

50Помірний · 23% загального індексу
Як обчислюється оцінка
9/54Бас-фактор — на 1 контриб’ютор(ів) припадає половина всіх комітів
3.5/22.5Розподіл комітів — головний контриб’ютор — автор 84% комітів
2.7/13.5Широта контриб’юторів — 2 контриб’юторів
0/10OpenSSF Scorecard: Contributors — немає даних
Використані вхідні дані
bus_factor1
contributors_sampled2
top_contributor_share0,844
Як обчислюється оцінка
42/42Вирішення issue — закрито 100% issue
24.8/30Прийняття PR — злито 225/272 вирішених PR
0/13Newcomer PR acceptance — за 30 дн. не вирішено жодного PR від новачка
0/15OpenSSF Scorecard: Code-Review — немає даних
Використані вхідні дані
merged_prs225
open_issues0
closed_issues1
prs_merged_7d0
prs_decided_7d0
prs_merged_30d0
prs_decided_30d0
issue_closed_ratio1
closed_unmerged_prs47
first_time_authors_30d0
first_time_prs_merged_30d0
first_time_prs_decided_30d0
Виключено з оцінювання (немає даних або не застосовно): newcomer_pr_acceptance. Залишкові ваги перенормовано.
Як обчислюється оцінка
10/30Підтримка власника — особистий (користувацький) обліковий запис
0/20Верифікований домен — не застосовно до користувацьких облікових записів
10.1/25Охоплення власника — 24 підписників у depalmar
17.1/25Послужний список — 4 публічних репозиторіїв, вік облікового запису ~6 р.
Використані вхідні дані
followers24
owner_typeUser
is_verified
owner_logindepalmar
public_repos4
account_age_days2 473
Виключено з оцінювання (немає даних або не застосовно): Верифікований домен. Залишкові ваги перенормовано.

Інженерна якість

Чи наявні базові інженерні практики та документація?

95Винятковий · 19% загального індексу
Як обчислюється оцінка
24/24Процеси CI — 9 процес(ів) CI
24/24Наявні тести
16/16Конфігурація лінтера — ruff.toml
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

Документація

100Винятковий
Як обчислюється оцінка
30/30README
25/25Каталог документації
15/15Сайт документації / домашня сторінка — https://depalmar.github.io/ai_for_the_win/
10/10Опис репозиторію
10/10Теми — 20 тем
10/10Wiki
Використані вхідні дані
topicsadversarial-ml, ai, cybersecurity, incident-response, llm, machine-learning, malware-analysis, python, siem, threat-detection, ctf, dfir, docker, threat-intelligence, hands-on-labs, security-training, blue-team, cloud-security, threat-hunting, xdr
has_wikiтак
homepagehttps://depalmar.github.io/ai_for_the_win/
has_readmeтак
has_docs_dirтак
has_descriptionтак

Безпека

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

72Добрий · 16% загального індексу
Як обчислюється оцінка
30/30Політика безпеки (SECURITY.md)
25/25Конфігурація Dependabot
0/25Файли фіксації залежностей
20/20Процес CodeQL
Використані вхідні дані
sourcefile_signals
lockfiles
manifestsdocker/requirements.txt, pyproject.toml, requirements-core.txt, requirements-llm.txt, requirements.txt
has_codeql_workflowтак
has_security_policyтак
has_dependabot_configтак
Як обчислюється оцінка
14.5/35Прямі залежності без відомих сповіщень — уражено 2: python-dotenv 1.0.0 (moderate 6.6), requests 2.32.4 (moderate 5.5)
0/25Непрямі залежності без відомих сповіщень — транзитивний набір не відокремлюється від залежностей розробки й тестування в цьому обсязі
30.7/40Немає задавнених сповіщень — 2 пакет(ів) зі сповіщеннями без реакції понад 90 дн.; найдавніше опубліковано 131 дн. тому
Використані вхідні дані
sourceosv
advisories35
affected_packages9
assessed_packages21
unassessed_packages100
affected_by_severitycritical 2, high 3, moderate 4
direct_affected_packages2
Виключено з оцінювання (немає даних або не застосовно): Непрямі залежності без відомих сповіщень. Залишкові ваги перенормовано. Звірено 21 резолвлених залежностей із OSV. 100 не вдалося оцінити — немає резолвленої версії, непідтримувана екосистема або поза межами звітованого переліку пакетів. Цей репозиторій не публікує пакета, який резолвить індекс, тож натомість оцінено граф залежностей репозиторію. Цей граф змішує закріплені версії для розробки й тестування зі справді постачаними залежностями, тож оцінюються лише задекларовані runtime-залежності; транзитивні знахідки подаються як контекст і в оцінку не входять. Досяжність не аналізується.

Готовність до ШІ

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

70Добрий · 4% загального індексу
Як обчислюється оцінка
45/45Інструкції для агентів — .cursorrules, CLAUDE.md, docs/CLAUDE.md
0/15Машиночитана документація (llms.txt)
40/40Читабельна історія комітів — намір зазначено у 85 з 85 людських комітів (структурований заголовок або пояснювальний текст)
Використані вхідні дані
has_llms_txtні
legible_history_share1
agent_instruction_files.cursorrules, CLAUDE.md, docs/CLAUDE.md
agent_instruction_max_bytes14 724
Як обчислюється оцінка
0/18Розгортання однією командою
22/22Автоматизовані тести
11/11Конфігурація лінтера / форматера — ruff.toml
0/11Статична перевірка типів
10/10Відтворюване середовище — Dockerfile
10/10Підтверджена практика роботи з агентами — 39 з останніх 100 комітів створено агентом або з його зазначенням
8/8Автоматизоване супроводження — 15 з останніх 100 комітів — автоматичні оновлення залежностей
0/10OpenSSF Scorecard: Pinned-Dependencies — немає даних
Використані вхідні дані
has_nixні
has_testsтак
lockfiles
has_dockerfileтак
typed_languageні
bootstrap_files
has_devcontainerні
has_linter_configтак
typecheck_configs
agent_commit_share0,39
toolchain_manifests
dependency_bot_commit_share0,15
Як обчислюється оцінка
0/45Типізований код — Python без конфігурації перевірки типів
54.4/55Керовані розміри файлів — 2/183 файлів вихідного коду понад 60 КБ
Використані вхідні дані
primary_languagePython
largest_source_bytes137 037
source_files_sampled183
oversized_source_files2
Як обчислюється оцінка
0/40Схема API (OpenAPI/GraphQL/proto)
20/20Сервер MCP
40/40Придатні до запуску приклади — notebooks
Використані вхідні дані
example_dirsnotebooks
has_mcp_signalтак
api_schema_files

Ключові факти

157зірок GitHub
2контриб'юторів
268комітів за останні 12 місяців
2днів від останнього пушу
11релізів
1бас-фактор
0відкритих issue
PyPIпакетних екосистем

Попередження щодо збору даних

  • Star history unavailable: GitHub GraphQL error: Resource not accessible by personal access token
  • Could not fetch pypi package 'ai-for-the-win' from its registry
  • OpenSSF Scorecard did not return a usable result (2026/08/04 00:54:53 Warning: PATs stored in env variables GITHUB_AUTH_TOKEN and GITHUB_TOKEN differ. Scorecard will use the former.); skipping Scorecard checks

Докладніше

Історія зірок і форків 0 ★ / 24 ⇿
0Зірки
24Форки
6Релізи

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.

048121620242452026-012026-042026-07
Мажорні 0Мінорні 5Патчі 1
Прямі залежності 16
РеєстрПакетОбмеження версіїМаніфест
PyPIpandas>=2.0.0pyproject.toml
PyPInumpy>=1.24.0pyproject.toml
PyPIscikit-learn>=1.3.0pyproject.toml
PyPIlangchain>=1.0.0pyproject.toml
PyPIlangchain-core>=0.3.0pyproject.toml
PyPIlangchain-community>=0.3.0,<1.0.0pyproject.toml
PyPIlanggraph>=0.2.0pyproject.toml
PyPIchromadb>=0.5.0pyproject.toml
PyPIsentence-transformers>=2.2.0pyproject.toml
PyPInltk>=3.8.0pyproject.toml
PyPIpython-dotenv>=1.0.0pyproject.toml
PyPIrequests>=2.31.0pyproject.toml
PyPIrich>=13.0.0pyproject.toml
PyPIpydantic>=2.0.0pyproject.toml
PyPIplotly>=5.18.0pyproject.toml
PyPImatplotlib>=3.7.0pyproject.toml
Усі залежності 121

Повний розв'язаний набір залежностей із графа залежностей GitHub: 21 прямих і 100 непрямих (транзитивних) пакетів. Транзитивне замикання є повним, коли в репозиторії закомічено lockfile.

РеєстрПакетВерсіяЗв'язок
PyPIchromadbпряма
PyPIlangchainпряма
PyPIlangchain-communityпряма
PyPIlangchain-coreпряма
PyPIlanggraphпряма
PyPImatplotlibпряма
PyPInltkпряма
PyPInumpyпряма
PyPInumpy1.26.3пряма
PyPIpandasпряма
PyPIpandas2.2.0пряма
PyPIplotlyпряма
PyPIpydanticпряма
PyPIpython-dotenvпряма
PyPIpython-dotenv1.0.0пряма
PyPIrequestsпряма
PyPIrequests2.32.4пряма
PyPIrichпряма
PyPIrich13.7.0пряма
PyPIscikit-learnпряма
PyPIsentence-transformersпряма
npm@types/react^18.2.48непряма
npmaxios^1.6.5непряма
npmeslint^8.56.0непряма
npmlodash^4.17.21непряма
npmmoment^2.30.1непряма
npmprettier^3.2.4непряма
npmreact^18.2.0непряма
npmreact-dom^18.2.0непряма
npmreact-router-dom^6.21.2непряма
npmreact-scripts5.0.1непряма
npmtypescript^5.3.3непряма
PyPIaiohttpнепряма
PyPIaltairнепряма
PyPIanthropicнепряма
PyPIbanditнепряма
PyPIbeautifulsoup4непряма
PyPIblackнепряма
PyPIblack24.3.0непряма
PyPIboto3непряма
PyPIcatboostнепряма
PyPIclickнепряма
PyPIclick8.1.7непряма
PyPIcryptography46.0.5непряма
PyPIdaskнепряма
PyPIdefusedxmlнепряма
PyPIdocx2txtнепряма
PyPIdpktнепряма
PyPIelasticsearchнепряма
PyPIfastapiнепряма
PyPIflake8непряма
PyPIflask3.1.3непряма
PyPIgensimнепряма
PyPIgoogle-generativeaiнепряма
PyPIgradioнепряма
PyPIhttpxнепряма
PyPIhuggingface-hubнепряма
PyPIhypothesisнепряма
PyPIimbalanced-learnнепряма
PyPIinstructorнепряма
PyPIipywidgetsнепряма
PyPIisortнепряма
PyPIisort5.13.2непряма
PyPIjupyter-dashнепряма
PyPIjupyterlabнепряма
PyPIlangchain-anthropicнепряма
PyPIlangchain-google-genaiнепряма
PyPIlangchain-openaiнепряма
PyPIliefнепряма
PyPIlightgbmнепряма
PyPIlitellmнепряма
PyPIminioнепряма
PyPImypyнепряма
PyPImypy1.8.0непряма
PyPInetworkxнепряма
PyPInotebookнепряма
PyPIopenaiнепряма
PyPIpefileнепряма
PyPIpolarsнепряма
PyPIprometheus-clientнепряма
PyPIpsycopg2-binaryнепряма
PyPIpsycopg2-binary2.9.9непряма
PyPIpyarrowнепряма
PyPIpyjwt2.8.0непряма
PyPIpypdfнепряма
PyPIpysharkнепряма
PyPIpysigmaнепряма
PyPIpytestнепряма
PyPIpytest7.4.4непряма
PyPIpytest-asyncioнепряма
PyPIpytest-covнепряма
PyPIpytest-cov4.1.0непряма
PyPIpython-magicнепряма
PyPIpyyamlнепряма
PyPIpyyaml6.0.1непряма
PyPIredisнепряма
PyPIreqeusts1.0.0непряма
PyPIscapyнепряма
PyPIscipyнепряма
PyPIseabornнепряма
PyPIspacyнепряма
PyPIsqlalchemyнепряма
PyPIsqlalchemy2.0.25непряма
PyPIstatsmodelsнепряма
PyPIstreamlitнепряма
PyPItextblobнепряма
PyPItiktokenнепряма
PyPItorchнепряма
PyPItqdmнепряма
PyPItransformersнепряма
PyPItyperнепряма
PyPItyping-extensionsнепряма
PyPIurllib3непряма
PyPIurllib32.6.3непряма
PyPIuvicornнепряма
PyPIvalidatorsнепряма
PyPIvolatility3непряма
PyPIwerkzeugнепряма
PyPIwerkzeug3.1.5непряма
PyPIxgboostнепряма
PyPIyara-pythonнепряма
Сповіщення про залежності 9

Цей репозиторій не публікує пакета, який розпізнає індекс, тож оцінено його власний граф залежностей — 21 пакетів, серед яких є й піниї розробки та тестування, що ніколи не постачаються: 9 мають відомі сповіщення, з них 2 прямі. 100 не вдалося оцінити — немає резолвленої версії, непідтримувана екосистема або поза наведеним переліком пакетів.

ПакетВерсіяЗв'язокКритичністьСповіщеньВиправлено в
black24.3.0непрямакритична326.3.1
cryptography46.0.5непрямакритична850.0.0
click8.1.7непрямависока18.3.3
pyjwt2.8.0непрямависока112.13.0
urllib32.6.3непрямависока42.7.0
python-dotenv1.0.0прямапомірна21.2.2
requests2.32.4прямапомірна22.33.0
pytest7.4.4непрямапомірна29.0.3
werkzeug3.1.5непрямапомірна23.1.6

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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          "is_bot": true,
          "headline": "ci: bump lycheeverse/lychee-action from 2.0.2 to 2.7.0 (#215)",
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          "body": "Bumps [actions/dependency-review-action](https://github.com/actions/dependency-review-action) from 4.7.1 to 4.8.2.\n- [Release notes](https://github.com/actions/dependency-review-action/releases)\n- [Commits](https://github.com/actions/dependency-review-action/compare/v4.7.1...3c4e3dcb1aa7874d2c16be7d\n[…]\ny: dependabot[bot] <support@github.com>\nCo-authored-by: dependabot[bot] <49699333+dependabot[bot]@users.noreply.github.com>\nCo-authored-by: Raymond DePalma <57051011+depalmar@users.noreply.github.com>",
          "is_bot": true,
          "headline": "ci: bump actions/dependency-review-action from 4.7.1 to 4.8.2 (#214)",
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          "author_login": "dependabot[bot]",
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          "body": "* docs: V2 launch review - add walkthroughs and fixes (Jan 2026)\n\n- Add 9 new walkthrough guides:\n  - Lab 26: Windows Event Log Analysis\n  - Lab 27: Windows Registry Forensics\n  - Lab 28: Live Response Techniques\n  - Lab 40: LLM Security Testing\n  - Lab 41: ML Model Security Monitoring\n  - Lab 43: R\n[…]\nhon requirements\n\nChanged target-version from py311 to py310 to match requires-python >= 3.10 in pyproject.toml. This ensures Ruff flags Python 3.11-only syntax that would break for Python 3.10 users.",
          "is_bot": false,
          "headline": "docs: V2 launch review - add walkthroughs and fixes (Jan 2026) (#224)",
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          "body": "The walkthrough notebook existed in labs/lab03-vibe-coding-with-ai/\nbut was missing from the central notebooks/ directory.\n\nCo-authored-by: Claude Opus 4.5 <noreply@anthropic.com>",
          "is_bot": false,
          "headline": "fix: add missing lab03 vibe coding notebook to notebooks folder (#222)",
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          "body": "* docs: V2 launch review - add walkthroughs and fixes (Jan 2026)\n\n- Add 9 new walkthrough guides:\n  - Lab 26: Windows Event Log Analysis\n  - Lab 27: Windows Registry Forensics\n  - Lab 28: Live Response Techniques\n  - Lab 40: LLM Security Testing\n  - Lab 41: ML Model Security Monitoring\n  - Lab 43: R\n[…]\nadd missing last_run timestamp parsing in UserAssist decoder\n\nThe docstring promised last_run but implementation never set it, causing\n\nbuild_registry_timeline to silently drop all UserAssist entries.",
          "is_bot": false,
          "headline": "docs: V2 launch review - add walkthroughs and fixes (Jan 2026) (#223)",
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          "body": "Updates the requirements on [pytest-asyncio](https://github.com/pytest-dev/pytest-asyncio) to permit the latest version.\n- [Release notes](https://github.com/pytest-dev/pytest-asyncio/releases)\n- [Commits](https://github.com/pytest-dev/pytest-asyncio/compare/v0.23.0...v1.3.0)\n\n---\nupdated-dependenci\n[…]\nendency-version: 1.3.0\n  dependency-type: direct:production\n...\n\nSigned-off-by: dependabot[bot] <support@github.com>\nCo-authored-by: dependabot[bot] <49699333+dependabot[bot]@users.noreply.github.com>",
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          "headline": "deps: update pytest-asyncio requirement (#220)",
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          "body": "* fix: move security-events permission to job level in codeql.yml\n\nFixes OpenSSF Scorecard Token-Permissions alert #106.\nWorkflow-level should only have read permissions.\n\nCo-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>\n\n* chore: clarify licensing - educational and personal use only\n\n- Updat\n[…]\n AND API key set\n- Google: langchain_google_genai installed AND API key set\n\nCo-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>\n\n---------\n\nCo-authored-by: Claude Opus 4.5 <noreply@anthropic.com>",
          "is_bot": false,
          "headline": "feat: selective LLM provider installation and Docker-first setup (#221)",
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          "body": "Bumps [actions/github-script](https://github.com/actions/github-script) from 7.0.1 to 8.0.0.\n- [Release notes](https://github.com/actions/github-script/releases)\n- [Commits](https://github.com/actions/github-script/compare/60a0d83039c74a4aee543508d2ffcb1c3799cdea...ed597411d8f924073f98dfc5c65a23a232\n[…]\nirect:production\n  update-type: version-update:semver-major\n...\n\nSigned-off-by: dependabot[bot] <support@github.com>\nCo-authored-by: dependabot[bot] <49699333+dependabot[bot]@users.noreply.github.com>",
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          "headline": "ci: bump actions/github-script from 7.0.1 to 8.0.0 (#213)",
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          "body": "* fix: move security-events permission to job level in codeql.yml\n\nFixes OpenSSF Scorecard Token-Permissions alert #106.\nWorkflow-level should only have read permissions.\n\nCo-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>\n\n* chore: clarify licensing - educational and personal use only\n\n- Updat\n[…]\n docs\n\n* chore: complete removal of COMMERCIAL_LICENSING.md\n\nFile has been renamed to .draft (private) and excluded from repository.\n\n---------\n\nCo-authored-by: Claude Opus 4.5 <noreply@anthropic.com>",
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          "headline": "chore: Remove commercial licensing and add security validations (#212)",
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          "headline": "fix: move security-events permission to job level in codeql.yml (#211)",
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          "oid": "a05591bb1ad7eccd13721ea20f72c0d245518589",
          "body": "Pin all pip install commands to specific versions to improve\nPinned-Dependencies score:\n\n- flake8==7.3.0\n- black==25.12.0\n- isort==7.0.0\n- pytest==9.0.2\n- pytest-cov==7.0.0\n- pytest-html==4.1.1\n- bandit==1.9.2\n- safety==3.7.0\n\nCo-authored-by: Claude Opus 4.5 <noreply@anthropic.com>",
          "is_bot": false,
          "headline": "fix: pin pip packages in workflows for OpenSSF Scorecard (#210)",
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          "body": "* fix: improve OpenSSF Scorecard compliance\n\n- Pin all GitHub Actions to SHA hashes in curriculum-check.yml\n- Add permissions blocks to all jobs (Token-Permissions check)\n- Enhance SECURITY.md with direct GitHub Security Advisory link\n- Add explicit security contact email\n- Update Contact section wi\n[…]\n21441 (urllib3)\n- CVE-2024-34069, CVE-2024-49766, CVE-2026-21860 (werkzeug)\n\nCo-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>\n\n---------\n\nCo-authored-by: Claude Opus 4.5 <noreply@anthropic.com>",
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          "headline": "fix: improve OpenSSF Scorecard compliance (#209)",
          "author_name": "Raymond DePalma",
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          "body": "…26 updates (#208)\n\n* fix(docs): improve Colab quick start with beginner-friendly progression\n\nUpdate \"Start in 60 Seconds\" section to provide clear learning path:\n- Add beginner labs (Lab 02, 07) for complete beginners\n- Keep intermediate ML lab (Lab 10)\n- Fix mislabeled \"Lab 35\" to correct \"Lab 15\n[…]\n links\n\nResolves Cursor bot review comment about broken YOUR-FORM-ID links.\n\nCo-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>\n\n---------\n\nCo-authored-by: Claude Opus 4.5 <noreply@anthropic.com>",
          "is_bot": false,
          "headline": "feat: add threat intel and AI model freshness validation with 2025-20…",
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          "body": "…on (#206)\n\nUpdate \"Start in 60 Seconds\" section to provide clear learning path:\n- Add beginner labs (Lab 02, 07) for complete beginners\n- Keep intermediate ML lab (Lab 10)\n- Fix mislabeled \"Lab 35\" to correct \"Lab 15\" for advanced LLM lab\n\nAdd \"Completely new to AI?\" entry point in \"Pick Your Start\n[…]\n02 → Lab 07 → Lab 10\n\nThis prevents new users from jumping straight to intermediate/advanced\nlabs and provides a gentler onboarding experience.\n\nCo-authored-by: Claude Opus 4.5 <noreply@anthropic.com>",
          "is_bot": false,
          "headline": "fix(docs): improve Colab quick start with beginner-friendly progressi…",
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          "oid": "69867b76f017ff24b33182ced2d7834f4f6d3da9",
          "body": "* security: improve OpenSSF Scorecard from 5.3 to target ~7.0\n\nImprovements made:\n- Fix Werkzeug CVE-2026-21860 vulnerability (update to 3.1.5)\n- Add SPDX license identifier for GitHub recognition\n- Add dependency-review workflow to block PRs with vulnerable deps\n- Add SBOM generation to releases (S\n[…]\n Keeping only deny-licenses\nto block copyleft licenses (GPL-3.0, AGPL-3.0).\n\nCo-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>\n\n---------\n\nCo-authored-by: Claude Opus 4.5 <noreply@anthropic.com>",
          "is_bot": false,
          "headline": "security: improve OpenSSF Scorecard from 5.3 to ~7.0 (#202)",
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          "oid": "2129dcb6668e1a025088de31aaeb5c9222e26e5b",
          "body": "…(#207)\n\n* fix(docs,tests): reorder installation (Docker first) and rename old test files\n\n1. **README Installation Reordering**:\n   - Moved Docker installation to \"Option 1\" (easiest)\n   - Moved Python installation to \"Option 2\"\n   - Docker is one command vs. multiple steps for Python setup\n\n2. **T\n[…]\nh, docstring now matches\n\nResolves Cursor bot review comments on PR #207.\n\nCo-Authored-By: Claude Sonnet 4.5 <noreply@anthropic.com>\n\n---------\n\nCo-authored-by: Claude Opus 4.5 <noreply@anthropic.com>",
          "is_bot": false,
          "headline": "Legal: Add employment protection and open-source security tool focus …",
          "author_name": "Raymond DePalma",
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          "committed_at": "2026-01-10T16:54:17Z",
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          "oid": "bcc7f7be6dedf2d99bd3bb585fea5cbec9bd9e12",
          "body": "Replace 31 instances of old lab numbering (Lab 09b, 10a, etc.) with\ncorrect lab numbers across documentation.\n\nOld → New mapping:\n- Lab 09b → Lab 24\n- Lab 10a → Lab 25\n- Lab 10b → Lab 26\n- Lab 10c → Lab 27\n- Lab 10d → Lab 28\n- Lab 11a → Lab 30\n- Lab 16b → Lab 37\n- Lab 17a → Lab 38\n- Lab 17b → Lab 40\n[…]\n10 walkthrough files\n- 2 guide files\n- ROADMAP.md, lab-prerequisites.md, documentation-guide.md\n- data/README.md\n- 2 lab READMEs (lab28, lab48)\n\nCo-authored-by: Claude Opus 4.5 <noreply@anthropic.com>",
          "is_bot": false,
          "headline": "fix(docs): update all old lab numbering references to new scheme (#205)",
          "author_name": "Raymond DePalma",
          "author_login": "depalmar",
          "committed_at": "2026-01-10T15:08:10Z",
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          "oid": "a9ebf161ef52a15346b29793fbb6894f684599e0",
          "body": "The docs/index.md Lab Navigator was showing old display numbers (09, 09b,\n10, 10a, etc.) instead of actual lab folder numbers (23, 24, 25, 26, etc.).\n\nChanges:\n- Fix all lab card display numbers in docs/index.md to match folder numbers\n- Add test_index_md_lab_card_display_numbers_match_folder test\n-\n[…]\nest: pytest tests/test_lab_data_integrity.py::TestLabCategoryConsistency -v\nAll 11 tests pass including the new display number validation test.\n\nCo-authored-by: Claude Opus 4.5 <noreply@anthropic.com>",
          "is_bot": false,
          "headline": "fix(docs): correct Lab Navigator display numbers in GitHub Pages (#204)",
          "author_name": "Raymond DePalma",
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          "committed_at": "2026-01-10T14:54:47Z",
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          "oid": "e55f67c1fde59e89e84341fd5bbb8a1b16a6bb67",
          "body": "… (#203)\n\nThe Lab Navigator on the GitHub Pages site (docs/index.md) was showing:\n- Scrambled lab order (00, 01, 04, 02, 05...)\n- Old display numbers (01, 02, 03 instead of 10, 11, 12)\n- Old category names (Expert DFIR, Expert AI)\n\nFixed to show:\n- Sequential lab order within each category\n- Actual \n[…]\n- Correct category names and ranges (Foundation 00-09, ML 10-13, etc.)\n\nNote: Some lab cards in the grid still need updating in a follow-up PR.\n\nCo-authored-by: Claude Opus 4.5 <noreply@anthropic.com>",
          "is_bot": false,
          "headline": "fix(docs): update GitHub Pages Lab Navigator with correct lab numbers…",
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          "committed_at": "2026-01-10T14:40:42Z",
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          "oid": "1316a73011664f17084228a84a3e80adab19aebb",
          "body": "…legend (#201)\n\n* fix(readme): reorganize Lab Navigator to sequential order and update legend\n\nThe Lab Navigator table was displaying labs in confusing non-sequential order\n(00, 01, 04, 02, 05...) instead of proper sequential order (00, 01, 02, 03...).\nAlso updated the legend to use correct category\n[…]\npattern for \"Intro (Free)\"\nneeds escaped parentheses to match literal text.\n\nCo-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>\n\n---------\n\nCo-authored-by: Claude Opus 4.5 <noreply@anthropic.com>",
          "is_bot": false,
          "headline": "fix(readme): reorganize Lab Navigator to sequential order and update …",
          "author_name": "Raymond DePalma",
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          "committed_at": "2026-01-10T14:27:39Z",
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          "oid": "cd7314e0e601360d164f45773db5df07caec01ed",
          "body": "…(#200)\n\n- Fix outdated lab references in docs/index.md FAQ section\n- Labs 01-03 -> Labs 00-13 (Foundation + ML, no API needed)\n- Add test_index_md_lab_numbering to catch future regressions\n\nCo-authored-by: Claude Opus 4.5 <noreply@anthropic.com>",
          "is_bot": false,
          "headline": "fix(docs): update GitHub Pages (index.md) lab numbering and add test …",
          "author_name": "Raymond DePalma",
          "author_login": "depalmar",
          "committed_at": "2026-01-10T13:47:00Z",
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          "oid": "dbee32b548c007fa9c119b88f6c5d4e6d65ed2e3",
          "body": "…n (#199)\n\nUpdate lab number references to match actual directory structure:\n- Old numbering: Labs 01-03 (ML), Labs 04-07 (LLM), Labs 08-10 (Advanced)\n- New numbering: Labs 10-13 (ML), Labs 14-18 (LLM), Labs 19-24 (Detection)\n\nFiles updated:\n- docs/learning-guide.md, CLAUDE.md - Lab quick reference\n\n[…]\n - Lab progression\n- 13 lab README.md files - Prerequisites sections\n- docs/walkthroughs/lab13-ml-vs-llm-walkthrough.md - Bridge lab references\n\nCo-authored-by: Claude Opus 4.5 <noreply@anthropic.com>",
          "is_bot": false,
          "headline": "fix(docs): comprehensive lab numbering update across all documentatio…",
          "author_name": "Raymond DePalma",
          "author_login": "depalmar",
          "committed_at": "2026-01-09T16:10:04Z",
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          "oid": "2f7ff2d85cd5f698fb78a0b0f965803d675de11c",
          "body": "…g (#198)\n\n- Update ctf/README.md prerequisite lab numbers to match actual labs\n- Fix docs/ARCHITECTURE.md diagram with correct lab ranges (00-50)\n- Update directory structure to show 50+ labs\n- Update version history to reflect current state\n- Add test_ctf_prerequisite_labs_exist to verify CTF lab references\n- Add test_architecture_doc_lab_count to catch outdated lab counts\n\nCo-authored-by: Claude Opus 4.5 <noreply@anthropic.com>",
          "is_bot": false,
          "headline": "fix(docs): update CTF prerequisites and architecture doc lab numberin…",
          "author_name": "Raymond DePalma",
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          "committed_at": "2026-01-09T15:45:41Z",
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        {
          "oid": "47b2e6730ffe4083b9f69f76f8c9f2fde8702d50",
          "body": "- Update Lab Navigator badges to use actual lab numbers (00-50)\n- Fix Detailed Lab Descriptions table entries to match lab directories\n- Update section headers with correct ranges (00-09, 10-13, 14-18, etc.)\n- Remove emojis from code blocks for better cross-platform display\n- Add test_readme_lab_numbers_match_actual_labs to catch future mismatches\n\nCo-authored-by: Claude Opus 4.5 <noreply@anthropic.com>",
          "is_bot": false,
          "headline": "fix(docs): update README lab numbering and add consistency test (#197)",
          "author_name": "Raymond DePalma",
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          "committed_at": "2026-01-09T14:01:07Z",
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          "body": "Co-authored-by: Claude Opus 4.5 <noreply@anthropic.com>",
          "is_bot": false,
          "headline": "chore: clean up gitignore (#196)",
          "author_name": "Raymond DePalma",
          "author_login": "depalmar",
          "committed_at": "2026-01-09T13:39:06Z",
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          "oid": "96e3e5c7166f0c02bbbfe6f0c97430f9def37fd2",
          "body": "….0 (#192)\n\nUpdates the requirements on [openai](https://github.com/openai/openai-python) to permit the latest version.\n- [Release notes](https://github.com/openai/openai-python/releases)\n- [Changelog](https://github.com/openai/openai-python/blob/main/CHANGELOG.md)\n- [Commits](https://github.com/ope\n[…]\ny: dependabot[bot] <support@github.com>\nCo-authored-by: dependabot[bot] <49699333+dependabot[bot]@users.noreply.github.com>\nCo-authored-by: Raymond DePalma <57051011+depalmar@users.noreply.github.com>",
          "is_bot": true,
          "headline": "deps: update openai requirement from <2.0.0,>=1.50.0 to >=1.50.0,<3.0…",
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          "body": "…(#176)\n\n* docs: improve navigation and discoverability\n\n- Add consistent 'Next Lab' navigation to all intro labs (00a-00i)\n- Add 'START HERE' section to main README with clear entry points\n- Link CTF challenges from main README for better visibility\n- Each intro lab now guides users to the next log\n[…]\nTF base64 encoding to match claimed flag\n- Remove invalid gitignore pattern\n\nCo-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>\n\n---------\n\nCo-authored-by: Claude Opus 4.5 <noreply@anthropic.com>",
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          "body": "Bumps the pip group with 5 updates in the /ctf-challenges/advanced/challenge-06/challenge directory:\n\n| Package | From | To |\n| --- | --- | --- |\n| [werkzeug](https://github.com/pallets/werkzeug) | `3.0.1` | `3.1.4` |\n| [requests](https://github.com/psf/requests) | `2.31.0` | `2.32.4` |\n| [urllib3](\n[…]\ny: dependabot[bot] <support@github.com>\nCo-authored-by: dependabot[bot] <49699333+dependabot[bot]@users.noreply.github.com>\nCo-authored-by: Raymond DePalma <57051011+depalmar@users.noreply.github.com>",
          "is_bot": true,
          "headline": "chore(deps): bump the pip group across 1 directory with 5 updates (#171)",
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          "body": "v1.5.0 already exists - bump to v1.6.0 for this release.\n\n🤖 Generated with [Claude Code](https://claude.com/claude-code)\n\nCo-authored-by: Claude Opus 4.5 <noreply@anthropic.com>",
          "is_bot": false,
          "headline": "docs: fix changelog version to v1.6.0 (#173)",
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          "body": "- Lab 00i: CTF Fundamentals\n- 3 new CTF challenges (Intermediate-06, Advanced-05, Advanced-06)\n- Enhanced vibe coding guidance\n- OpenSSF Scorecard improvements\n\n🤖 Generated with [Claude Code](https://claude.com/claude-code)\n\nCo-authored-by: Claude Opus 4.5 <noreply@anthropic.com>",
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          "headline": "docs: add v1.5.0 changelog for CTF Fundamentals release (#172)",
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          "body": "* feat: expand CTF challenges and enhance learning materials\n\nAdd 3 new CTF challenges (18 total, 5100 points):\n- beginner-06: Linux Persistence Hunter (cron, systemd, SSH keys, bash)\n- intermediate-06: Web Shell Detective (Apache logs, base64 decoding)\n- advanced-06: Supply Chain Detective (typosqu\n[…]\nccordingly)\n\n🤖 Generated with [Claude Code](https://claude.com/claude-code)\n\nCo-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>\n\n---------\n\nCo-authored-by: Claude Opus 4.5 <noreply@anthropic.com>",
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          "headline": "feat: expand CTF challenges and enhance learning materials (#170)",
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          "headline": "fix(ctf): correct flags and hints for CTF challenges (#169)",
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          "body": "* security: update pypdf to fix 8 CVEs (RAM exhaustion, infinite loops)\n\nUpdates pypdf from >=4.0.0,<5.0.0 to >=5.1.0,<7.0.0 to fix:\n- CVE: pypdf's LZWDecode streams can be manipulated to exhaust RAM\n- CVE: pypdf can exhaust RAM via manipulated LZWDecode streams\n- CVE: pypdf possibly loops infinitel\n[…]\n CVE fixes.\n\n🤖 Generated with [Claude Code](https://claude.com/claude-code)\n\nCo-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>\n\n---------\n\nCo-authored-by: Claude Opus 4.5 <noreply@anthropic.com>",
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          "headline": "security: update pypdf to fix 8 CVEs (#168)",
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          "oid": "b4f4aa89d1ea6fcd81373d834db43b06971677bb",
          "body": "* feat: improve OpenSSF scorecard and documentation quality\n\n## OpenSSF Scorecard Improvements\n- Add workflow-level permissions (contents: read) to CI workflows\n- Pin all GitHub Actions to SHA hashes for supply chain security\n- Actions pinned: checkout, setup-python, cache, codecov, stale,\n  upload-\n[…]\ns intended.\n\n🤖 Generated with [Claude Code](https://claude.com/claude-code)\n\nCo-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>\n\n---------\n\nCo-authored-by: Claude Opus 4.5 <noreply@anthropic.com>",
          "is_bot": false,
          "headline": "feat: improve OpenSSF scorecard and documentation quality (#167)",
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          "oid": "b87ef7be2b6f2ca83eff75766729919b1418d9d1",
          "body": "Python 3.14 is too new - many packages (PyTorch, numpy, etc.) don't have\npre-built wheels yet, causing installation failures.",
          "is_bot": false,
          "headline": "docs: clarify Python version support (3.10-3.12, not 3.14+) (#166)",
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                "status": "met",
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          },
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            "key": "ai_code_legibility",
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            "name": "Code legibility for models",
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              "oversized_source_files": 2
            },
            "components": [
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        {
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  "warnings": [
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  "report_type": "repository",
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}

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 v0.30.0 — повна методологія · вікі метрик.

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