Публічний реєстр
Звіт про здоров'я програмного забезпеченнясхема 0.12.0 · метрики 1.13.0 · 2026-07-18 06:11 UTC

QCHackers / tqec

Design automation software tools for Topological Quantum Error Correction

PythonApache-2.0★ 376 зірок⑂ 119 форківз жовт. 2023 р.Переглянути на GitHub ↗

QCHackers/tqec має індекс здоров’я 79 зі 100, що відповідає смузі «Добрий». Найвищий показник — Engineering Quality (92/100), найнижчий — AI Readiness (54/100). Останнє оновлення — сьогодні. Більшість нещодавньої роботи виконують 3 учасники.

79
загалом / 100
Добрий

Індекс здоров'я програмного забезпечення

Метрики згруповано у зважені категорії на шкалі 1–100. Загальна оцінка починається як їхнє середнє; коли публічні дані активують Політику юрисдикцій високого ризику, рейтинг коригується й отримує верхню межу 49 («Під ризиком»). Готовність до ШІ не входить до індексу.

79
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

TQECОрганізація
90 підписників10 публічних репозиторіївз лист. 2024 р.

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

Пакетні екосистеми

РеєстрПакетВерсіяЗавантажень / місВерсіїОстання публікаціяТеги
PyPItqecвказує на інший репозиторій — не оцінюється0.2.04 2283114 днів томуtopological-quantum-error-correctionqec

Метрики за категоріями

Життєздатність

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

89Відмінний · 22% загального індексу
Як обчислюється оцінка
36/36Свіжість push — останній push 0 дн. тому
33.9/36Ритм комітів — 49/52 тижнів із комітами
18/18Обсяг комітів — 221 комітів за останній рік
10/10OpenSSF Scorecard: Maintained — 30 commit(s) and 2 issue activity found in the last 90 days -- score normalized to 10
Використані вхідні дані
commits_last_year221
human_commit_share
days_since_last_push0
active_weeks_last_year49
Як обчислюється оцінка
27/27Випускає релізи — опубліковано 2 релізів
27/36Свіжість релізів — останній реліз 114 дн. тому
12.6/27Ритм релізів — реліз кожні ~133,1 дн.
8/10OpenSSF Scorecard: Signed-Releases — 2 out of the last 2 releases have a total of 2 signed artifacts.
Використані вхідні дані
releases_count2
latest_release_tagv0.2.0
releases_from_tagsні
days_since_latest_release114
mean_days_between_releases133,1

Спільнота та впровадження

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

71Добрий · 18% загального індексу
Як обчислюється оцінка
41.8/60Зірки — 376 зірок
17.3/25Форки — 119 форків
6.2/15Спостерігачі — 14 спостерігачів
Використані вхідні дані
forks119
stars376
watchers14
growth_stateunverified
growth_factor_pct100
growth_unverified_reasonno_history
Як обчислюється оцінка
22.5/22.5README
22.5/22.5Ліцензія — визнана ліцензія (Apache-2.0)
18/18Настанови CONTRIBUTING
0/13.5Кодекс поведінки
0/7.2Шаблон issue
6.3/6.3Шаблон PR
Використані вхідні дані
has_readmeтак
has_licenseтак
has_contributingтак
has_issue_templateні
has_code_of_conductні
has_pull_request_templateтак

Сталість та врядування

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

73Добрий · 24% загального індексу
Як обчислюється оцінка
36/54Бас-фактор — на 3 контриб’ютор(ів) припадає половина всіх комітів
16.2/22.5Розподіл комітів — головний контриб’ютор — автор 28% комітів
13.5/13.5Широта контриб’юторів — 32 контриб’юторів
10/10OpenSSF Scorecard: Contributors — project has 9 contributing companies or organizations
Використані вхідні дані
bus_factor3
contributors_sampled32
top_contributor_share0,28
Як обчислюється оцінка
39.6/46.8Вирішення issue — закрито 85% issue
32.9/38.3Прийняття PR — злито 494/575 вирішених PR
15/15OpenSSF Scorecard: Code-Review — all changesets reviewed
Використані вхідні дані
merged_prs494
open_issues61
closed_issues338
issue_closed_ratio0,847
closed_unmerged_prs81
Як обчислюється оцінка
30/30Підтримка власника — у власності організації
0/20Верифікований домен
14.1/25Охоплення власника — 90 підписників у tqec
11/25Послужний список — 10 публічних репозиторіїв, вік облікового запису ~1 р.
Використані вхідні дані
followers90
owner_typeOrganization
is_verified
owner_logintqec
public_repos10
account_age_days616

Інженерна якість

Чи наявні базові інженерні практики та документація?

92Відмінний · 20% загального індексу
Як обчислюється оцінка
24/24Процеси CI — 6 процес(ів) CI
24/24Наявні тести
16/16Конфігурація лінтера
9.6/9.6Pre-commit-хуки
0/6.4.editorconfig
20/20OpenSSF Scorecard: CI-Tests — 30 out of 30 merged PRs checked by a CI test -- score normalized to 10
Використані вхідні дані
has_ciтак
has_testsтак
has_editorconfigні
has_linter_configтак
has_precommit_configтак

Документація

90Відмінний
Як обчислюється оцінка
30/30README
25/25Каталог документації
15/15Сайт документації / домашня сторінка — https://tqec.github.io/tqec/
10/10Опис репозиторію
10/10Теми — 3 тем
0/10Wiki
Використані вхідні дані
topicsquantum-error-correction, surface-code, quantum-computing
has_wikiні
homepagehttps://tqec.github.io/tqec/
has_readmeтак
has_docs_dirтак
has_descriptionтак

Безпека

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

66Помірний · 16% загального індексу

Стан безпеки

66Помірний
Як обчислюється оцінка
7.5/7.5Binary-Artifacts — no binaries found in the repo
0/7.5Branch-Protection — немає даних
2.5/2.5CI-Tests — 30 out of 30 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
7.5/7.5Code-Review — all changesets reviewed
2.5/2.5Contributors — project has 9 contributing companies or organizations
10/10Dangerous-Workflow — no dangerous workflow patterns detected
7.5/7.5Dependency-Update-Tool — update tool detected
0/5Fuzzing — project is not fuzzed
2.5/2.5Ліцензія — license file detected
7.5/7.5Maintained — 30 commit(s) and 2 issue activity found in the last 90 days -- score normalized to 10
0/5Packaging — немає даних
0/5Pinned-Dependencies — dependency not pinned by hash detected -- score normalized to 0
0/5SAST — SAST tool is not run on all commits -- score normalized to 0
0/5Security-Policy — security policy file not detected
6/7.5Signed-Releases — 2 out of the last 2 releases have a total of 2 signed artifacts.
0/7.5Token-Permissions — detected GitHub workflow tokens with excessive permissions
7.5/7.5Vulnerabilities — 0 existing vulnerabilities detected
Використані вхідні дані
sourceopenssf_scorecard
checks_evaluated16
scorecard_versionv5.5.0
checks_inconclusive2
scorecard_aggregate6,6
Виключено з оцінювання (немає даних або не застосовно): branch_protection, packaging. 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.

54Помірний · 0% загального індексу
Як обчислюється оцінка
0/45Інструкції для агентів — немає CLAUDE.md / AGENTS.md / правил редактора
0/15Машиночитана документація (llms.txt)
0/40Читабельна історія комітів — немає даних
Використані вхідні дані
has_llms_txtні
legible_history_share
agent_instruction_files
agent_instruction_max_bytes
Виключено з оцінювання (немає даних або не застосовно): Читабельна історія комітів. Залишкові ваги перенормовано.
Як обчислюється оцінка
18/18Розгортання однією командою — docs/Makefile
22/22Автоматизовані тести
11/11Конфігурація лінтера / форматера
11/11Статична перевірка типів — src/tqec/py.typed
10/10Відтворюване середовище — lockfile
0/10Підтверджена практика роботи з агентами — немає даних
0/8Автоматизоване супроводження — немає даних
0/10OpenSSF Scorecard: Pinned-Dependencies — dependency not pinned by hash detected -- score normalized to 0
Використані вхідні дані
has_nixні
has_testsтак
lockfilesuv.lock
has_dockerfileні
typed_languageні
bootstrap_filesdocs/Makefile
has_devcontainerні
has_linter_configтак
typecheck_configssrc/tqec/py.typed
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
27/45Типізований код — Python з конфігурацією перевірки типів (src/tqec/py.typed)
54.6/55Керовані розміри файлів — 2/276 файлів вихідного коду понад 60 КБ
Використані вхідні дані
primary_languagePython
largest_source_bytes104 008
source_files_sampled276
oversized_source_files2
Як обчислюється оцінка
0/40Схема API (OpenAPI/GraphQL/proto)
0/20Сервер MCP
40/40Придатні до запуску приклади — notebooks
Використані вхідні дані
example_dirsnotebooks
has_mcp_signalні
api_schema_files

Ключові факти

376зірок GitHub
32контриб'юторів
221комітів за останні 12 місяців
0днів від останнього пушу
2релізів
3бас-фактор
61відкритих issue
PyPIпакетних екосистем

Попередження щодо збору даних

  • pypi package 'tqec' points at a different repository (https://github.com/tqec/tqec); excluded from ecosystem scoring

Докладніше

OpenSSF Scorecard 6.6 / 10
6.6сукупно

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 06:11 UTC

10Binary-Artifactsno binaries found in the repo
н/дBranch-Protectioninternal error: error during branchesHandler.setup: internal error: some github tokens can't read classic branch protection rules: https://github.com/ossf/scorecard-action/blob/main/docs/authentication/fine-grained-auth-token.md
10CI-Tests30 out of 30 merged PRs checked by a CI test -- score normalized to 10
0CII-Best-Practicesno effort to earn an OpenSSF best practices badge detected
10Code-Reviewall changesets reviewed
10Contributorsproject has 9 contributing companies or organizations
10Dangerous-Workflowno dangerous workflow patterns detected
10Dependency-Update-Toolupdate tool detected
0Fuzzingproject is not fuzzed
10Licenselicense file detected
10Maintained30 commit(s) and 2 issue activity found in the last 90 days -- score normalized to 10
н/дPackagingpackaging workflow not detected
0Pinned-Dependenciesdependency not pinned by hash detected -- score normalized to 0
0SASTSAST tool is not run on all commits -- score normalized to 0
0Security-Policysecurity policy file not detected
8Signed-Releases2 out of the last 2 releases have a total of 2 signed artifacts.
0Token-Permissionsdetected GitHub workflow tokens with excessive permissions
10Vulnerabilities0 existing vulnerabilities detected
Прямі залежності 20
РеєстрПакетОбмеження версіїМаніфест
PyPImatplotlib>=3.9pyproject.toml
PyPInetworkx>=3.0pyproject.toml
PyPInumpy>=1.22pyproject.toml
PyPInumpy>=1.24pyproject.toml
PyPInumpy>=1.26pyproject.toml
PyPInumpy>=2.1pyproject.toml
PyPIplatformdirs>=4.0pyproject.toml
PyPIpycollada>=0.8pyproject.toml
PyPIpymatching>=2.3.1pyproject.toml
PyPIpyzx>=0.9.0pyproject.toml
PyPIscipy>=1.15pyproject.toml
PyPIsemver>=3.0.0pyproject.toml
PyPIsinter>=1.14pyproject.toml
PyPIsphinx-design>=0.6.1pyproject.toml
PyPIstim>=1.14pyproject.toml
PyPIstim>=1.15pyproject.toml
PyPIsvg-py>=1.10.0pyproject.toml
PyPItqecd>=0.2.1pyproject.toml
PyPItyping-extensions>=4.2pyproject.toml
PyPItyping-extensions>=4.12pyproject.toml
Усі залежності 203

Повний розв'язаний набір залежностей із графа залежностей GitHub: 22 прямих і 181 непрямих (транзитивних) пакетів. Транзитивне замикання є повним, коли в репозиторії закомічено lockfile.

РеєстрПакетВерсіяЗв'язок
PyPImatplotlib3.10.9пряма
PyPImatplotlib3.11.0пряма
PyPInetworkx3.4.2пряма
PyPInetworkx3.6.1пряма
PyPInumpy2.2.6пряма
PyPInumpy2.4.6пряма
PyPInumpy2.5.1пряма
PyPIplatformdirs4.10.0пряма
PyPIpycollada0.9.3пряма
PyPIpymatching2.4.0пряма
PyPIpyzx0.10.4пряма
PyPIscipy1.15.3пряма
PyPIscipy1.17.1пряма
PyPIscipy1.18.0пряма
PyPIsemver3.0.4пряма
PyPIsinter1.16.0пряма
PyPIsphinx-design0.6.1пряма
PyPIsphinx-design0.7.0пряма
PyPIstim1.16.0пряма
PyPIsvg-py1.10.0пряма
PyPItqecd0.2.1пряма
PyPItyping-extensions4.16.0пряма
PyPIaccessible-pygments0.0.5непряма
PyPIalabaster1.0.0непряма
PyPIanyio4.14.2непряма
PyPIappnope0.1.4непряма
PyPIargon2-cffi25.1.0непряма
PyPIargon2-cffi-bindings25.1.0непряма
PyPIarrow1.4.0непряма
PyPIasttokens3.0.2непряма
PyPIasync-lru2.3.0непряма
PyPIattrs26.1.0непряма
PyPIbabel2.18.0непряма
PyPIbeautifulsoup44.15.0непряма
PyPIbleach6.4.0непряма
PyPIcertifi2026.6.17непряма
PyPIcffi2.1.0непряма
PyPIcfgv3.5.0непряма
PyPIcharset-normalizer3.4.9непряма
PyPIclick8.4.2непряма
PyPIcolorama0.4.6непряма
PyPIcomm0.2.3непряма
PyPIcontourpy1.3.2непряма
PyPIcontourpy1.3.3непряма
PyPIcoverage7.15.1непряма
PyPIcycler0.12.1непряма
PyPIdebugpy1.8.21непряма
PyPIdecorator5.3.1непряма
PyPIdefusedxml0.7.1непряма
PyPIdistlib0.4.3непряма
PyPIdocformatter1.7.8непряма
PyPIdocutils0.21.2непряма
PyPIdocutils0.22.4непряма
PyPIexceptiongroup1.3.1непряма
PyPIexecuting2.2.1непряма
PyPIfastjsonschema2.21.2непряма
PyPIfilelock3.29.7непряма
PyPIfonttools4.63.0непряма
PyPIfqdn1.5.1непряма
PyPIgprof2dot2025.4.14непряма
PyPIh110.16.0непряма
PyPIhttpcore1.0.9непряма
PyPIhttpx0.28.1непряма
PyPIidentify2.6.19непряма
PyPIidna3.18непряма
PyPIimagesize2.0.0непряма
PyPIiniconfig2.3.0непряма
PyPIipykernel7.3.0непряма
PyPIipython8.39.0непряма
PyPIipython9.15.0непряма
PyPIipython-pygments-lexers1.1.1непряма
PyPIipywidgets8.1.8непряма
PyPIisoduration20.11.0непряма
PyPIjedi0.20.0непряма
PyPIjinja23.1.6непряма
PyPIjson50.15.0непряма
PyPIjsonpointer3.1.1непряма
PyPIjsonschema4.26.0непряма
PyPIjsonschema-specifications2025.9.1непряма
PyPIjupyter-builder1.1.0непряма
PyPIjupyter-client8.9.1непряма
PyPIjupyter-core5.9.1непряма
PyPIjupyter-events0.12.1непряма
PyPIjupyter-lsp2.3.1непряма
PyPIjupyter-server2.20.0непряма
PyPIjupyter-server-terminals0.5.4непряма
PyPIjupyter-sphinx0.5.3непряма
PyPIjupyterlab4.6.1непряма
PyPIjupyterlab-pygments0.3.0непряма
PyPIjupyterlab-server2.28.0непряма
PyPIjupyterlab-widgets3.0.16непряма
PyPIkiwisolver1.5.0непряма
PyPIlark1.3.1непряма
PyPIlatexcodec3.0.1непряма
PyPImarkdown-it-py3.0.0непряма
PyPImarkdown-it-py4.2.0непряма
PyPImarkupsafe3.0.3непряма
PyPImatplotlib-inline0.2.2непряма
PyPImdit-py-plugins0.6.1непряма
PyPImdurl0.1.2непряма
PyPImistune3.3.3непряма
PyPImyst-parser4.0.1непряма
PyPImyst-parser5.1.0непряма
PyPInbclient0.11.0непряма
PyPInbconvert7.17.1непряма
PyPInbformat5.10.4непряма
PyPInbsphinx0.9.8непряма
PyPInest-asyncio21.7.2непряма
PyPInodeenv1.10.0непряма
PyPInotebook-shim0.2.4непряма
PyPInumpy-typing-compat20251206.2.4непряма
PyPInumpy-typing-compat20260602.2.5непряма
PyPIoptype0.17.1непряма
PyPIoptype0.18.0непряма
PyPIoptype0.9.3непряма
PyPIoverrides7.7.0непряма
PyPIpackaging26.2непряма
PyPIpandoc2.4непряма
PyPIpandocfilters1.5.1непряма
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Звіт у форматі JSON машиночитний
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              {
                "key": "repository_description",
                "name": "Repository description",
                "detail": null,
                "points": 10,
                "status": "met",
                "details": [],
                "max_points": 10
              },
              {
                "key": "topics",
                "name": "Topics",
                "detail": "3 topics",
                "points": 10,
                "status": "met",
                "details": [
                  {
                    "code": "topics_count",
                    "params": {
                      "count": 3
                    }
                  }
                ],
                "max_points": 10
              },
              {
                "key": "wiki",
                "name": "Wiki",
                "detail": null,
                "points": 0,
                "status": "missed",
                "details": [],
                "max_points": 10
              }
            ]
          }
        ],
        "description": "Are baseline engineering and documentation practices in place?"
      },
      {
        "key": "security",
        "band": "moderate",
        "name": "Security",
        "value": 66,
        "weight": 0.16,
        "metrics": [
          {
            "key": "security_posture",
            "band": "moderate",
            "name": "Security posture",
            "note": "Excluded from scoring (no data or not applicable): Branch-Protection, Packaging. Remaining weights renormalized.",
            "notes": [
              {
                "code": "excluded_no_data",
                "params": {
                  "components": [
                    "branch_protection",
                    "packaging"
                  ]
                }
              },
              {
                "code": "weights_renormalized",
                "params": {}
              }
            ],
            "value": 66,
            "inputs": {
              "source": "openssf_scorecard",
              "checks_evaluated": 16,
              "scorecard_version": "v5.5.0",
              "checks_inconclusive": 2,
              "scorecard_aggregate": 6.6
            },
            "components": [
              {
                "key": "binary_artifacts",
                "name": "Binary-Artifacts",
                "detail": "no binaries found in the repo",
                "points": 7.5,
                "status": "met",
                "details": [],
                "max_points": 7.5
              },
              {
                "key": "branch_protection",
                "name": "Branch-Protection",
                "detail": "internal error: error during branchesHandler.setup: internal error: some github tokens can't read classic branch protection rules: https://github.com/ossf/scorecard-action/blob/main/docs/authentication/fine-grained-auth-token.md",
                "points": 0,
                "status": "excluded",
                "details": [
                  {
                    "code": "no_data",
                    "params": {}
                  }
                ],
                "max_points": 7.5
              },
              {
                "key": "ci_tests",
                "name": "CI-Tests",
                "detail": "30 out of 30 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": "all changesets reviewed",
                "points": 7.5,
                "status": "met",
                "details": [],
                "max_points": 7.5
              },
              {
                "key": "contributors",
                "name": "Contributors",
                "detail": "project has 9 contributing companies or organizations",
                "points": 2.5,
                "status": "met",
                "details": [],
                "max_points": 2.5
              },
              {
                "key": "dangerous_workflow",
                "name": "Dangerous-Workflow",
                "detail": "no dangerous workflow patterns detected",
                "points": 10,
                "status": "met",
                "details": [],
                "max_points": 10
              },
              {
                "key": "dependency_update_tool",
                "name": "Dependency-Update-Tool",
                "detail": "update tool detected",
                "points": 7.5,
                "status": "met",
                "details": [],
                "max_points": 7.5
              },
              {
                "key": "fuzzing",
                "name": "Fuzzing",
                "detail": "project is not fuzzed",
                "points": 0,
                "status": "missed",
                "details": [],
                "max_points": 5
              },
              {
                "key": "license",
                "name": "License",
                "detail": "license file detected",
                "points": 2.5,
                "status": "met",
                "details": [],
                "max_points": 2.5
              },
              {
                "key": "maintained",
                "name": "Maintained",
                "detail": "30 commit(s) and 2 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 not detected",
                "points": 0,
                "status": "excluded",
                "details": [
                  {
                    "code": "no_data",
                    "params": {}
                  }
                ],
                "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 not run on all commits -- score normalized to 0",
                "points": 0,
                "status": "missed",
                "details": [],
                "max_points": 5
              },
              {
                "key": "security_policy",
                "name": "Security-Policy",
                "detail": "security policy file not detected",
                "points": 0,
                "status": "missed",
                "details": [],
                "max_points": 5
              },
              {
                "key": "signed_releases",
                "name": "Signed-Releases",
                "detail": "2 out of the last 2 releases have a total of 2 signed artifacts.",
                "points": 6,
                "status": "partial",
                "details": [],
                "max_points": 7.5
              },
              {
                "key": "token_permissions",
                "name": "Token-Permissions",
                "detail": "detected GitHub workflow tokens with excessive permissions",
                "points": 0,
                "status": "missed",
                "details": [],
                "max_points": 7.5
              },
              {
                "key": "vulnerabilities",
                "name": "Vulnerabilities",
                "detail": "0 existing vulnerabilities detected",
                "points": 7.5,
                "status": "met",
                "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": 6
            },
            "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": 54,
        "weight": 0,
        "metrics": [
          {
            "key": "ai_agent_context",
            "band": "critical",
            "name": "Agent context & guidance",
            "note": "Excluded from scoring (no data or not applicable): Legible commit history. Remaining weights renormalized.",
            "notes": [
              {
                "code": "excluded_no_data",
                "params": {
                  "components": [
                    "legible_commit_history"
                  ]
                }
              },
              {
                "code": "weights_renormalized",
                "params": {}
              }
            ],
            "value": 1,
            "inputs": {
              "has_llms_txt": false,
              "legible_history_share": null,
              "agent_instruction_files": [],
              "agent_instruction_max_bytes": null
            },
            "components": [
              {
                "key": "agent_instructions",
                "name": "Agent instructions",
                "detail": "no CLAUDE.md / AGENTS.md / editor rules",
                "points": 0,
                "status": "missed",
                "details": [
                  {
                    "code": "no_agent_instructions",
                    "params": {}
                  }
                ],
                "max_points": 45
              },
              {
                "key": "machine_readable_docs_llms_txt",
                "name": "Machine-readable docs (llms.txt)",
                "detail": null,
                "points": 0,
                "status": "missed",
                "details": [],
                "max_points": 15
              },
              {
                "key": "legible_commit_history",
                "name": "Legible commit history",
                "detail": "no data",
                "points": 0,
                "status": "excluded",
                "details": [
                  {
                    "code": "no_data",
                    "params": {}
                  }
                ],
                "max_points": 40
              }
            ]
          },
          {
            "key": "ai_verify_loop",
            "band": "excellent",
            "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": 88,
            "inputs": {
              "has_nix": false,
              "has_tests": true,
              "lockfiles": [
                "uv.lock"
              ],
              "has_dockerfile": false,
              "typed_language": false,
              "bootstrap_files": [
                "docs/Makefile"
              ],
              "has_devcontainer": false,
              "has_linter_config": true,
              "typecheck_configs": [
                "src/tqec/py.typed"
              ],
              "agent_commit_share": null,
              "toolchain_manifests": [],
              "dependency_bot_commit_share": null
            },
            "components": [
              {
                "key": "one_command_bootstrap",
                "name": "One-command bootstrap",
                "detail": "docs/Makefile",
                "points": 18,
                "status": "met",
                "details": [
                  {
                    "code": "file_list",
                    "params": {
                      "files": "docs/Makefile"
                    }
                  }
                ],
                "max_points": 18
              },
              {
                "key": "automated_tests",
                "name": "Automated tests",
                "detail": null,
                "points": 22,
                "status": "met",
                "details": [],
                "max_points": 22
              },
              {
                "key": "lint_format_config",
                "name": "Lint / format config",
                "detail": null,
                "points": 11,
                "status": "met",
                "details": [],
                "max_points": 11
              },
              {
                "key": "static_type_checking",
                "name": "Static type checking",
                "detail": "src/tqec/py.typed",
                "points": 11,
                "status": "met",
                "details": [
                  {
                    "code": "file_list",
                    "params": {
                      "files": "src/tqec/py.typed"
                    }
                  }
                ],
                "max_points": 11
              },
              {
                "key": "reproducible_environment",
                "name": "Reproducible environment",
                "detail": "lockfile",
                "points": 10,
                "status": "met",
                "details": [
                  {
                    "code": "file_list",
                    "params": {
                      "files": "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": 104008,
              "source_files_sampled": 276,
              "oversized_source_files": 2
            },
            "components": [
              {
                "key": "type_checkable_code",
                "name": "Type-checkable code",
                "detail": "Python with type-check config (src/tqec/py.typed)",
                "points": 27,
                "status": "partial",
                "details": [
                  {
                    "code": "typecheck_config_language",
                    "params": {
                      "files": "src/tqec/py.typed",
                      "language": "Python"
                    }
                  }
                ],
                "max_points": 45
              },
              {
                "key": "manageable_file_sizes",
                "name": "Manageable file sizes",
                "detail": "2/276 source files over 60KB",
                "points": 54.6,
                "status": "partial",
                "details": [
                  {
                    "code": "oversized_source_files",
                    "params": {
                      "kb": 60,
                      "sampled": 276,
                      "oversized": 2
                    }
                  }
                ],
                "max_points": 55
              }
            ]
          },
          {
            "key": "ai_interfaces",
            "band": "at_risk",
            "name": "Machine-readable interfaces",
            "note": null,
            "notes": [],
            "value": 40,
            "inputs": {
              "example_dirs": [
                "notebooks"
              ],
              "has_mcp_signal": false,
              "api_schema_files": []
            },
            "components": [
              {
                "key": "api_schema_openapi_graphql_proto",
                "name": "API schema (OpenAPI/GraphQL/proto)",
                "detail": null,
                "points": 0,
                "status": "missed",
                "details": [],
                "max_points": 40
              },
              {
                "key": "mcp_server",
                "name": "MCP server",
                "detail": null,
                "points": 0,
                "status": "missed",
                "details": [],
                "max_points": 20
              },
              {
                "key": "runnable_examples",
                "name": "Runnable examples",
                "detail": "notebooks",
                "points": 40,
                "status": "met",
                "details": [
                  {
                    "code": "file_list",
                    "params": {
                      "files": "notebooks"
                    }
                  }
                ],
                "max_points": 40
              }
            ]
          }
        ],
        "description": "How well is the repo equipped to be developed and maintained with AI coding agents? An independent, experimental badge — weight 0.0, so it is surfaced on its own and does not affect the overall health score."
      }
    ],
    "metrics_version": "1.13.0"
  },
  "warnings": [
    "pypi package 'tqec' points at a different repository (https://github.com/tqec/tqec); excluded from ecosystem scoring"
  ],
  "report_type": "repository",
  "generated_at": "2026-07-18T06:11:36.492254Z",
  "schema_version": "0.12.0",
  "badge_url": "https://raw.githubusercontent.com/inspect-software/badges/main/v1/q/QCHackers/tqec.svg",
  "full_name": "QCHackers/tqec",
  "license_state": "standard",
  "license_spdx": "Apache-2.0"
}

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.