Публічний реєстрПомірний
Звіт про здоров'я програмного забезпеченнясхема 0.11.0 · метрики 1.13.0 · 2026-07-15 02:41 UTC
cdeust / Cortex
Persistent memory for Claude Code built on computational neuroscience, not just retrieval. 36 cited brain mechanisms consolidate what matters, keep it current as your project evolves, and reconstruct the right context at the right time — a living memory, not a flat RAG. Says "I don't know" when unsure, flags contradictions. Local-first · MCP · MIT.
cdeust/Cortex має індекс здоров’я 68 зі 100, що відповідає смузі «Помірний». Найвищий показник — Vitality (86/100), найнижчий — Security (55/100). Останнє оновлення — сьогодні. Більшість нещодавньої роботи виконує один учасник.
68
загалом / 100Індекс здоров'я програмного забезпечення
Метрики згруповано у зважені категорії на шкалі 1–100. Загальна оцінка починається як їхнє середнє; коли публічні дані активують Політику юрисдикцій високого ризику, рейтинг коригується й отримує верхню межу 49 («Під ризиком»). Готовність до ШІ не входить до індексу.
68
Відмінний85-100Зразковий; відповідає практично всім перевіреним критеріям
Добрий70-84Здоровий; незначні прогалини
Помірний50-69Прийнятний, але з помітними прогалинами; рекомендовано перевірку
У зоні ризику30-49Суттєві слабкі місця; впровадження потребує обережності
Критичний1-29Серйозні проблеми (покинутий, єдиний мейнтейнер, без базової гігієни)
Профіль оцінок
Кожна вісь — окрема категорія. Форма важить більше, ніж середнє: здоровий об'єкт заповнює всю фігуру, тоді як профіль із піками та провалами означає, що сила в одному вимірі маскує ризик в іншому.
Власність
ClementОсобистий обліковий запис
26 підписників52 публічні репозиторіїз січ. 2013 р.
Цей репозиторій належить особистому обліковому запису. Проєкт з єдиним власником несе більший ризик безперервності, ніж підтримуваний організацією.
Пакетні екосистеми
| Реєстр | Пакет | Версія | Завантажень / міс | Версії | Остання публікація | Теги |
|---|---|---|---|---|---|---|
| PyPI | hypermnesia-mcp | 4.14.1 | 2 447 | 21 | 0 днів тому | claude-codecognitive-profilingmcpmemory |
Метрики за категоріями
Життєздатність
Чи живий проєкт — чи пишеться код і чи виходять релізи?
86
Активність розробки
76Добрий
Як обчислюється оцінка
| 36/36 | Свіжість push — останній push 0 дн. тому |
| 11.8/36 | Ритм комітів — 17/52 тижнів із комітами |
| 18/18 | Обсяг комітів — 1 003 комітів за останній рік |
| 10/10 | OpenSSF Scorecard: Maintained — 30 commit(s) and 30 issue activity found in the last 90 days -- score normalized to 10 |
Використані вхідні дані
| commits_last_year | 1 003 |
| human_commit_share | — |
| days_since_last_push | 0 |
| active_weeks_last_year | 17 |
Дисципліна релізів
100Відмінний
Як обчислюється оцінка
| 27/27 | Випускає релізи — опубліковано 86 релізів |
| 36/36 | Свіжість релізів — останній реліз 0 дн. тому |
| 27/27 | Ритм релізів — реліз кожні ~0,4 дн. |
| 0/10 | OpenSSF Scorecard: Signed-Releases — немає даних |
Використані вхідні дані
| releases_count | 86 |
| latest_release_tag | v4.14.1 |
| releases_from_tags | ні |
| days_since_latest_release | 0 |
| mean_days_between_releases | 0,4 |
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?
60
Популярність і впровадження
40У зоні ризику
Як обчислюється оцінка
| 29.5/60 | Зірки — 67 зірок |
| 8.3/25 | Форки — 11 форків |
| 2.7/15 | Спостерігачі — 4 спостерігачів |
Використані вхідні дані
| forks | 11 |
| stars | 67 |
| watchers | 4 |
| growth_state | unverified |
| growth_factor_pct | 100 |
| growth_unverified_reason | no_history |
Здоров'я спільноти
86Відмінний
Як обчислюється оцінка
| 22.5/22.5 | README |
| 16.9/22.5 | Ліцензія — файл ліцензії наявний, не є визнаною ліцензією |
| 18/18 | Настанови CONTRIBUTING |
| 13.5/13.5 | Кодекс поведінки |
| 0/7.2 | Шаблон issue |
| 6.3/6.3 | Шаблон PR |
Використані вхідні дані
| has_readme | так |
| has_license | так |
| has_contributing | так |
| has_issue_template | ні |
| has_code_of_conduct | так |
| has_pull_request_template | так |
Впровадження в екосистемі (завантаження)
56Помірний
Як обчислюється оцінка
| 45.2/80 | Щомісячні завантаження — 2 447 завантажень/місяць у pypi |
| 0/20 | Залежні пакети в реєстрі — ця екосистема цього не повідомляє |
Використані вхідні дані
| packages | hypermnesia-mcp |
| dependents | — |
| ecosystems | pypi |
| total_downloads | — |
| monthly_downloads | 2 447 |
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?
58
Стійкість мейнтейнерів (бас-фактор)
15Критичний
Як обчислюється оцінка
| 9/54 | Бас-фактор — на 1 контриб’ютор(ів) припадає половина всіх комітів |
| 0.2/22.5 | Розподіл комітів — головний контриб’ютор — автор 99% комітів |
| 5.4/13.5 | Широта контриб’юторів — 4 контриб’юторів |
| 0/10 | OpenSSF Scorecard: Contributors — project has 0 contributing companies or organizations -- score normalized to 0 |
Використані вхідні дані
| bus_factor | 1 |
| contributors_sampled | 4 |
| top_contributor_share | 0,991 |
Реактивність на issue та PR
80Добрий
Як обчислюється оцінка
| 44.5/46.8 | Вирішення issue — закрито 95% issue |
| 35.4/38.3 | Прийняття PR — злито 86/93 вирішених PR |
| 0/15 | OpenSSF Scorecard: Code-Review — Found 0/27 approved changesets -- score normalized to 0 |
Використані вхідні дані
| merged_prs | 86 |
| open_issues | 2 |
| closed_issues | 40 |
| issue_closed_ratio | 0,952 |
| closed_unmerged_prs | 7 |
Власність та опіка
56Помірний
Як обчислюється оцінка
| 10/30 | Підтримка власника — особистий (користувацький) обліковий запис |
| 0/20 | Верифікований домен — не застосовно до користувацьких облікових записів |
| 10.3/25 | Охоплення власника — 26 підписників у cdeust |
| 24.6/25 | Послужний список — 52 публічних репозиторіїв, вік облікового запису ~13 р. |
Використані вхідні дані
| followers | 26 |
| owner_type | User |
| is_verified | — |
| owner_login | cdeust |
| public_repos | 52 |
| account_age_days | 4 941 |
Виключено з оцінювання (немає даних або не застосовно): Верифікований домен. Залишкові ваги перенормовано.
Супровід пакетів
100Відмінний
Як обчислюється оцінка
| 25/25 | Опубліковано й доступно — 1 пакет(ів) у pypi |
| 35/35 | Свіжість публікацій — остання публікація 0 дн. тому |
| 20/20 | Історія версій — 21 опублікованих версій |
| 20/20 | Не застарілий — активний, не deprecated і не yanked |
Використані вхідні дані
| packages | hypermnesia-mcp |
| ecosystems | pypi |
| any_deprecated | ні |
| min_days_since_publish | 0 |
Інженерна якість
Чи наявні базові інженерні практики та документація?
77
Інженерні практики
68Помірний
Як обчислюється оцінка
| 24/24 | Процеси CI — 4 процес(ів) CI |
| 24/24 | Наявні тести |
| 0/16 | Конфігурація лінтера |
| 0/9.6 | Pre-commit-хуки |
| 0/6.4 | .editorconfig |
| 20/20 | OpenSSF Scorecard: CI-Tests — 19 out of 19 merged PRs checked by a CI test -- score normalized to 10 |
Використані вхідні дані
| has_ci | так |
| has_tests | так |
| has_editorconfig | ні |
| has_linter_config | ні |
| has_precommit_config | ні |
Документація
90Відмінний
Як обчислюється оцінка
| 30/30 | README |
| 25/25 | Каталог документації |
| 15/15 | Сайт документації / домашня сторінка — https://ai-architect.tools |
| 10/10 | Опис репозиторію |
| 10/10 | Теми — 20 тем |
| 0/10 | Wiki |
Використані вхідні дані
| topics | agent-memory-system, anthropic, causal-inference, claude, claude-code, claude-code-plugin, cognitive-architecture, cognitive-science, episodic-memory, hopfield-network, llm-memory, long-term-memory, mcp-server, memory, model-context-protocol, neuroscience, persistent-memory, predictive-coding, retrieval-augmented-generation, vector-search |
| has_wiki | ні |
| homepage | https://ai-architect.tools |
| has_readme | так |
| has_docs_dir | так |
| has_description | так |
Безпека
Чи міцні видимі практики безпеки й ланцюга постачання, без непослабленої пов’язаності з юрисдикціями високого ризику?
55
Стан безпеки
55Помірний
Як обчислюється оцінка
| 7.5/7.5 | Binary-Artifacts — no binaries found in the repo |
| 0/7.5 | Branch-Protection — branch protection not enabled on development/release branches |
| 2.5/2.5 | CI-Tests — 19 out of 19 merged PRs checked by a CI test -- score normalized to 10 |
| 0/2.5 | CII-Best-Practices — no effort to earn an OpenSSF best practices badge detected |
| 0/7.5 | Code-Review — Found 0/27 approved changesets -- score normalized to 0 |
| 0/2.5 | Contributors — project has 0 contributing companies or organizations -- score normalized to 0 |
| 10/10 | Dangerous-Workflow — no dangerous workflow patterns detected |
| 7.5/7.5 | Dependency-Update-Tool — update tool detected |
| 0/5 | Fuzzing — project is not fuzzed |
| 2.2/2.5 | Ліцензія — license file detected |
| 7.5/7.5 | Maintained — 30 commit(s) and 30 issue activity found in the last 90 days -- score normalized to 10 |
| 5/5 | Packaging — packaging workflow detected |
| 0/5 | Pinned-Dependencies — dependency not pinned by hash detected -- score normalized to 0 |
| 5/5 | SAST — SAST tool is run on all commits |
| 5/5 | Security-Policy — security policy file detected |
| 0/7.5 | Signed-Releases — немає даних |
| 0/7.5 | Token-Permissions — detected GitHub workflow tokens with excessive permissions |
| 1.5/7.5 | Vulnerabilities — 8 existing vulnerabilities detected |
Використані вхідні дані
| source | openssf_scorecard |
| checks_evaluated | 17 |
| scorecard_version | v5.5.0 |
| checks_inconclusive | 1 |
| scorecard_aggregate | 5,5 |
Виключено з оцінювання (немає даних або не застосовно): signed_releases. Залишкові ваги перенормовано.
Готовність до ШІ
Наскільки репозиторій оснащений для розробки та супроводу за участі ШІ-агентів? Незалежний, експериментальний бейдж — вага 0.0, тож він подається окремо і не впливає на загальний індекс здоров'я.
67
Контекст і настанови для агентів
75Добрий
Як обчислюється оцінка
| 45/45 | Інструкції для агентів — CLAUDE.md |
| 0/15 | Машиночитана документація (llms.txt) |
| 0/40 | Читабельна історія комітів — немає даних |
Використані вхідні дані
| has_llms_txt | ні |
| legible_history_share | — |
| agent_instruction_files | CLAUDE.md |
| agent_instruction_max_bytes | 5 077 |
Виключено з оцінювання (немає даних або не застосовно): Читабельна історія комітів. Залишкові ваги перенормовано.
Як обчислюється оцінка
| 18/18 | Розгортання однією командою — Makefile, docs/arxiv-thermodynamic/Makefile |
| 22/22 | Автоматизовані тести |
| 0/11 | Конфігурація лінтера / форматера |
| 11/11 | Статична перевірка типів — pyrightconfig.json |
| 10/10 | Відтворюване середовище — devcontainer, Dockerfile, lockfile |
| 0/10 | Підтверджена практика роботи з агентами — немає даних |
| 0/8 | Автоматизоване супроводження — немає даних |
| 0/10 | OpenSSF Scorecard: Pinned-Dependencies — dependency not pinned by hash detected -- score normalized to 0 |
Використані вхідні дані
| has_nix | ні |
| has_tests | так |
| lockfiles | uv.lock |
| has_dockerfile | так |
| typed_language | ні |
| bootstrap_files | Makefile, docs/arxiv-thermodynamic/Makefile |
| has_devcontainer | так |
| has_linter_config | ні |
| typecheck_configs | pyrightconfig.json |
| 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.
Читабельність коду для моделей
82Добрий
Як обчислюється оцінка
| 27/45 | Типізований код — Python з конфігурацією перевірки типів (pyrightconfig.json) |
| 54.8/55 | Керовані розміри файлів — 3/959 файлів вихідного коду понад 60 КБ |
Використані вхідні дані
| primary_language | Python |
| largest_source_bytes | 111 081 |
| source_files_sampled | 959 |
| oversized_source_files | 3 |
Машиночитні інтерфейси
20Критичний
Як обчислюється оцінка
| 0/40 | Схема API (OpenAPI/GraphQL/proto) |
| 20/20 | Сервер MCP |
| 0/40 | Придатні до запуску приклади |
Використані вхідні дані
| example_dirs | — |
| has_mcp_signal | так |
| api_schema_files | — |
Ключові факти
67зірок GitHub
4контриб'юторів
1 003комітів за останні 12 місяців
0днів від останнього пушу
86релізів
1бас-фактор
2відкритих issue
npm, PyPIпакетних екосистем
Попередження щодо збору даних
- Could not fetch npm package 'hypermnesia-mcp' from its registry
Докладніше
OpenSSF Scorecard 5.5 / 10
5.5сукупно
Незалежна, не прив'язана до інструментів оцінка безпеки від відкритого проєкту OpenSSF Scorecard. Кожна перевірка винагороджує практику безпеки, а не інструмент конкретного постачальника. Перевірки, які Scorecard не зміг визначити, позначено н/д і виключено з оцінки безпеки (вони ніколи не зараховуються як нуль).
| 10 | Binary-Artifacts | no binaries found in the repo |
| 0 | Branch-Protection | branch protection not enabled on development/release branches |
| 10 | CI-Tests | 19 out of 19 merged PRs checked by a CI test -- score normalized to 10 |
| 0 | CII-Best-Practices | no effort to earn an OpenSSF best practices badge detected |
| 0 | Code-Review | Found 0/27 approved changesets -- score normalized to 0 |
| 0 | Contributors | project has 0 contributing companies or organizations -- score normalized to 0 |
| 10 | Dangerous-Workflow | no dangerous workflow patterns detected |
| 10 | Dependency-Update-Tool | update tool detected |
| 0 | Fuzzing | project is not fuzzed |
| 9 | License | license file detected |
| 10 | Maintained | 30 commit(s) and 30 issue activity found in the last 90 days -- score normalized to 10 |
| 10 | Packaging | packaging workflow detected |
| 0 | Pinned-Dependencies | dependency not pinned by hash detected -- score normalized to 0 |
| 10 | SAST | SAST tool is run on all commits |
| 10 | Security-Policy | security policy file detected |
| н/д | Signed-Releases | no releases found |
| 0 | Token-Permissions | detected GitHub workflow tokens with excessive permissions |
| 2 | Vulnerabilities | 8 existing vulnerabilities detected |
Прямі залежності 6
| Реєстр | Пакет | Обмеження версії | Маніфест |
|---|---|---|---|
| PyPI | fastmcp | >=2.0.0 | pyproject.toml |
| PyPI | pydantic | >=2.0.0 | pyproject.toml |
| PyPI | pydantic-settings | >=2.0.0 | pyproject.toml |
| PyPI | numpy | >=1.24.0 | pyproject.toml |
| PyPI | sentence-transformers | >=3.0.0 | pyproject.toml |
| PyPI | flashrank | >=0.2.0 | pyproject.toml |
Усі залежності 196
Повний розв'язаний набір залежностей із графа залежностей GitHub: 7 прямих і 189 непрямих (транзитивних) пакетів. Транзитивне замикання є повним, коли в репозиторії закомічено lockfile.
| Реєстр | Пакет | Версія | Зв'язок |
|---|---|---|---|
| PyPI | fastmcp | 3.2.4 | пряма |
| PyPI | flashrank | 0.2.10 | пряма |
| PyPI | numpy | 2.4.4 | пряма |
| PyPI | numpy | 2.2.6 | пряма |
| PyPI | pydantic | 2.13.3 | пряма |
| PyPI | pydantic-settings | 2.14.2 | пряма |
| PyPI | sentence-transformers | 5.4.1 | пряма |
| PyPI | aiofile | 3.9.0 | непряма |
| PyPI | aiohappyeyeballs | 2.6.1 | непряма |
| PyPI | aiohttp | 3.14.1 | непряма |
| PyPI | aiosignal | 1.4.0 | непряма |
| PyPI | annotated-doc | 0.0.4 | непряма |
| PyPI | annotated-types | 0.7.0 | непряма |
| PyPI | anyio | 4.13.0 | непряма |
| PyPI | async-timeout | 5.0.1 | непряма |
| PyPI | attrs | 26.1.0 | непряма |
| PyPI | authlib | 1.7.2 | непряма |
| PyPI | backports-asyncio-runner | 1.2.0 | непряма |
| PyPI | backports-tarfile | 1.2.0 | непряма |
| PyPI | beartype | 0.22.9 | непряма |
| PyPI | cachetools | 7.0.6 | непряма |
| PyPI | caio | 0.9.25 | непряма |
| PyPI | certifi | 2026.2.25 | непряма |
| PyPI | cffi | 2.0.0 | непряма |
| PyPI | charset-normalizer | 3.4.7 | непряма |
| PyPI | click | 8.3.2 | непряма |
| PyPI | colorama | 0.4.6 | непряма |
| PyPI | colorcet | 3.2.1 | непряма |
| PyPI | coverage | 7.13.5 | непряма |
| PyPI | cryptography | 48.0.1 | непряма |
| PyPI | cuda-bindings | 13.2.0 | непряма |
| PyPI | cuda-pathfinder | 1.5.3 | непряма |
| PyPI | cuda-toolkit | 13.0.2 | непряма |
| PyPI | cyclopts | 4.10.2 | непряма |
| PyPI | datasets | 4.8.4 | непряма |
| PyPI | datashader | 0.19.0 | непряма |
| PyPI | dill | 0.4.1 | непряма |
| PyPI | dnspython | 2.8.0 | непряма |
| PyPI | docstring-parser | 0.18.0 | непряма |
| PyPI | docutils | 0.22.4 | непряма |
| PyPI | email-validator | 2.3.0 | непряма |
| PyPI | exceptiongroup | 1.3.1 | непряма |
| PyPI | filelock | 3.29.0 | непряма |
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Звіт у форматі JSON машиночитний
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{
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"name": "Branch-Protection",
"detail": "branch protection not enabled on development/release branches",
"points": 0,
"status": "missed",
"details": [],
"max_points": 7.5
},
{
"key": "ci_tests",
"name": "CI-Tests",
"detail": "19 out of 19 merged PRs checked by a CI test -- score normalized to 10",
"points": 2.5,
"status": "met",
"details": [],
"max_points": 2.5
},
{
"key": "cii_best_practices",
"name": "CII-Best-Practices",
"detail": "no effort to earn an OpenSSF best practices badge detected",
"points": 0,
"status": "missed",
"details": [],
"max_points": 2.5
},
{
"key": "code_review",
"name": "Code-Review",
"detail": "Found 0/27 approved changesets -- score normalized to 0",
"points": 0,
"status": "missed",
"details": [],
"max_points": 7.5
},
{
"key": "contributors",
"name": "Contributors",
"detail": "project has 0 contributing companies or organizations -- score normalized to 0",
"points": 0,
"status": "missed",
"details": [],
"max_points": 2.5
},
{
"key": "dangerous_workflow",
"name": "Dangerous-Workflow",
"detail": "no dangerous workflow patterns detected",
"points": 10,
"status": "met",
"details": [],
"max_points": 10
},
{
"key": "dependency_update_tool",
"name": "Dependency-Update-Tool",
"detail": "update tool detected",
"points": 7.5,
"status": "met",
"details": [],
"max_points": 7.5
},
{
"key": "fuzzing",
"name": "Fuzzing",
"detail": "project is not fuzzed",
"points": 0,
"status": "missed",
"details": [],
"max_points": 5
},
{
"key": "license",
"name": "License",
"detail": "license file detected",
"points": 2.2,
"status": "partial",
"details": [],
"max_points": 2.5
},
{
"key": "maintained",
"name": "Maintained",
"detail": "30 commit(s) and 30 issue activity found in the last 90 days -- score normalized to 10",
"points": 7.5,
"status": "met",
"details": [],
"max_points": 7.5
},
{
"key": "packaging",
"name": "Packaging",
"detail": "packaging workflow detected",
"points": 5,
"status": "met",
"details": [],
"max_points": 5
},
{
"key": "pinned_dependencies",
"name": "Pinned-Dependencies",
"detail": "dependency not pinned by hash detected -- score normalized to 0",
"points": 0,
"status": "missed",
"details": [],
"max_points": 5
},
{
"key": "sast",
"name": "SAST",
"detail": "SAST tool is run on all commits",
"points": 5,
"status": "met",
"details": [],
"max_points": 5
},
{
"key": "security_policy",
"name": "Security-Policy",
"detail": "security policy file detected",
"points": 5,
"status": "met",
"details": [],
"max_points": 5
},
{
"key": "signed_releases",
"name": "Signed-Releases",
"detail": "no releases found",
"points": 0,
"status": "excluded",
"details": [
{
"code": "no_data",
"params": {}
}
],
"max_points": 7.5
},
{
"key": "token_permissions",
"name": "Token-Permissions",
"detail": "detected GitHub workflow tokens with excessive permissions",
"points": 0,
"status": "missed",
"details": [],
"max_points": 7.5
},
{
"key": "vulnerabilities",
"name": "Vulnerabilities",
"detail": "8 existing vulnerabilities detected",
"points": 1.5,
"status": "partial",
"details": [],
"max_points": 7.5
}
]
},
{
"key": "high_risk_jurisdiction_exposure",
"band": "excellent",
"name": "High-Risk Jurisdiction Exposure",
"note": "Only high-confidence self-published location evidence affects this multiplier. Ambiguous matches are review-only; country evidence is not proof of nationality, citizenship, legal registration, malicious intent, or sanctions status.",
"notes": [
{
"code": "jurisdiction_evidence_limits",
"params": {}
}
],
"value": 100,
"inputs": {
"meaning": "self-published location evidence; not nationality or citizenship",
"red_flag": false,
"exposures": [],
"policy_countries": [
"Russia",
"Iran",
"North Korea"
],
"review_only_matches": 0,
"assessed_self_published_locations": 3
},
"components": [
{
"key": "policy_exposure_multiplier",
"name": "Policy exposure multiplier",
"detail": "no confirmed policy-scope location match",
"points": 100,
"status": "met",
"details": [
{
"code": "jurisdiction_no_match",
"params": {}
}
],
"max_points": 100
}
]
}
],
"description": "Are visible security and supply-chain practices strong, with no malicious dependency and no unresolved high-risk jurisdiction exposure?"
},
{
"key": "ai_readiness",
"band": "moderate",
"name": "AI Readiness",
"value": 67,
"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": [
{
"code": "excluded_no_data",
"params": {
"components": [
"legible_commit_history"
]
}
},
{
"code": "weights_renormalized",
"params": {}
}
],
"value": 75,
"inputs": {
"has_llms_txt": false,
"legible_history_share": null,
"agent_instruction_files": [
"CLAUDE.md"
],
"agent_instruction_max_bytes": 5077
},
"components": [
{
"key": "agent_instructions",
"name": "Agent instructions",
"detail": "CLAUDE.md",
"points": 45,
"status": "met",
"details": [
{
"code": "file_list",
"params": {
"files": "CLAUDE.md"
}
}
],
"max_points": 45
},
{
"key": "machine_readable_docs_llms_txt",
"name": "Machine-readable docs (llms.txt)",
"detail": null,
"points": 0,
"status": "missed",
"details": [],
"max_points": 15
},
{
"key": "legible_commit_history",
"name": "Legible commit history",
"detail": "no data",
"points": 0,
"status": "excluded",
"details": [
{
"code": "no_data",
"params": {}
}
],
"max_points": 40
}
]
},
{
"key": "ai_verify_loop",
"band": "good",
"name": "Verify loop (build / test / typecheck)",
"note": "Excluded from scoring (no data or not applicable): Demonstrated agent practice, Automated maintenance. Remaining weights renormalized.",
"notes": [
{
"code": "excluded_no_data",
"params": {
"components": [
"demonstrated_agent_practice",
"automated_maintenance"
]
}
},
{
"code": "weights_renormalized",
"params": {}
}
],
"value": 74,
"inputs": {
"has_nix": false,
"has_tests": true,
"lockfiles": [
"uv.lock"
],
"has_dockerfile": true,
"typed_language": false,
"bootstrap_files": [
"Makefile",
"docs/arxiv-thermodynamic/Makefile"
],
"has_devcontainer": true,
"has_linter_config": false,
"typecheck_configs": [
"pyrightconfig.json"
],
"agent_commit_share": null,
"toolchain_manifests": [],
"dependency_bot_commit_share": null
},
"components": [
{
"key": "one_command_bootstrap",
"name": "One-command bootstrap",
"detail": "Makefile, docs/arxiv-thermodynamic/Makefile",
"points": 18,
"status": "met",
"details": [
{
"code": "file_list",
"params": {
"files": "Makefile, docs/arxiv-thermodynamic/Makefile"
}
}
],
"max_points": 18
},
{
"key": "automated_tests",
"name": "Automated tests",
"detail": null,
"points": 22,
"status": "met",
"details": [],
"max_points": 22
},
{
"key": "lint_format_config",
"name": "Lint / format config",
"detail": null,
"points": 0,
"status": "missed",
"details": [],
"max_points": 11
},
{
"key": "static_type_checking",
"name": "Static type checking",
"detail": "pyrightconfig.json",
"points": 11,
"status": "met",
"details": [
{
"code": "file_list",
"params": {
"files": "pyrightconfig.json"
}
}
],
"max_points": 11
},
{
"key": "reproducible_environment",
"name": "Reproducible environment",
"detail": "devcontainer, Dockerfile, lockfile",
"points": 10,
"status": "met",
"details": [
{
"code": "file_list",
"params": {
"files": "devcontainer, Dockerfile, lockfile"
}
}
],
"max_points": 10
},
{
"key": "demonstrated_agent_practice",
"name": "Demonstrated agent practice",
"detail": "no data",
"points": 0,
"status": "excluded",
"details": [
{
"code": "no_data",
"params": {}
}
],
"max_points": 10
},
{
"key": "automated_maintenance",
"name": "Automated maintenance",
"detail": "no data",
"points": 0,
"status": "excluded",
"details": [
{
"code": "no_data",
"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": "good",
"name": "Code legibility for models",
"note": null,
"notes": [],
"value": 82,
"inputs": {
"primary_language": "Python",
"largest_source_bytes": 111081,
"source_files_sampled": 959,
"oversized_source_files": 3
},
"components": [
{
"key": "type_checkable_code",
"name": "Type-checkable code",
"detail": "Python with type-check config (pyrightconfig.json)",
"points": 27,
"status": "partial",
"details": [
{
"code": "typecheck_config_language",
"params": {
"files": "pyrightconfig.json",
"language": "Python"
}
}
],
"max_points": 45
},
{
"key": "manageable_file_sizes",
"name": "Manageable file sizes",
"detail": "3/959 source files over 60KB",
"points": 54.8,
"status": "partial",
"details": [
{
"code": "oversized_source_files",
"params": {
"kb": 60,
"sampled": 959,
"oversized": 3
}
}
],
"max_points": 55
}
]
},
{
"key": "ai_interfaces",
"band": "critical",
"name": "Machine-readable interfaces",
"note": null,
"notes": [],
"value": 20,
"inputs": {
"example_dirs": [],
"has_mcp_signal": true,
"api_schema_files": []
},
"components": [
{
"key": "api_schema_openapi_graphql_proto",
"name": "API schema (OpenAPI/GraphQL/proto)",
"detail": null,
"points": 0,
"status": "missed",
"details": [],
"max_points": 40
},
{
"key": "mcp_server",
"name": "MCP server",
"detail": null,
"points": 20,
"status": "met",
"details": [],
"max_points": 20
},
{
"key": "runnable_examples",
"name": "Runnable examples",
"detail": null,
"points": 0,
"status": "missed",
"details": [],
"max_points": 40
}
]
}
],
"description": "How well is the repo equipped to be developed and maintained with AI coding agents? An independent, experimental badge — weight 0.0, so it is surfaced on its own and does not affect the overall health score."
}
],
"metrics_version": "1.13.0"
},
"warnings": [
"Could not fetch npm package 'hypermnesia-mcp' from its registry"
],
"report_type": "repository",
"generated_at": "2026-07-15T02:41:48.518820Z",
"schema_version": "0.11.0",
"badge_url": "https://raw.githubusercontent.com/inspect-software/badges/main/v1/c/cdeust/Cortex.svg",
"full_name": "cdeust/Cortex",
"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 v1.13.0, схема v0.11.0 — повна методологія · вікі метрик.
Як окремий результат виглядає на тлі всього реєстру: сукупна статистика — PyPI.