Публічний реєстр
Звіт про здоров'я програмного забезпеченнясхема 0.27.0 · метрики 1.13.0 · 2026-07-27 22:27 UTC

CompOmics / ms2rescore

Modular and user-friendly platform for AI-assisted rescoring of peptide identifications

PythonApache-2.0★ 66 зірок⑂ 22 форкиз серп. 2017 р.Переглянути на GitHub ↗

CompOmics/ms2rescore має індекс здоров’я 72 зі 100, що відповідає смузі «Добрий». Найвищий показник — Engineering Quality (90/100), найнижчий — AI Readiness (43/100). Останнє оновлення було 3 дні тому. Більшість нещодавньої роботи виконують 2 учасники.

72
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.

72
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

129 підписників114 публічних репозиторіївз бер. 2015 р.

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

Пакетні екосистеми

РеєстрПакетВерсіяЗавантажень / місВерсіїОстання публікаціяТеги
PyPIms2rescore4.0.1-453 дні томуms2rescorems2pipdeeplcproteomicsmass-spectrometrypeptide-identificationrescoringmachine-learning

Метрики за категоріями

Життєздатність

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

79Добрий · 22% загального індексу
Як обчислюється оцінка
36/36Свіжість push — останній push 3 дн. тому
13.2/36Ритм комітів — 19/52 тижнів із комітами
18/18Обсяг комітів — 210 комітів за останній рік
10/10OpenSSF Scorecard: Maintained — 30 commit(s) and 5 issue activity found in the last 90 days -- score normalized to 10
Використані вхідні дані
commits_last_year210
human_commit_share1
days_since_last_push3
active_weeks_last_year19
Як обчислюється оцінка
27/27Випускає релізи — опубліковано 43 релізів
36/36Свіжість релізів — останній реліз 3 дн. тому
19.8/27Ритм релізів — реліз кожні ~78,8 дн.
0/10OpenSSF Scorecard: Signed-Releases — Project has not signed or included provenance with any releases.
Використані вхідні дані
releases_count43
latest_release_tagv4.0.1
releases_from_tagsні
days_since_latest_release3
mean_days_between_releases78,8

Спільнота та впровадження

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

56Помірний · 18% загального індексу
Як обчислюється оцінка
29.4/60Зірки — 66 зірок
11/25Форки — 22 форків
3.9/15Спостерігачі — 6 спостерігачів
Використані вхідні дані
forks22
stars66
watchers6
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
0/6.3Шаблон PR
Використані вхідні дані
has_readmeтак
has_licenseтак
has_contributingтак
has_issue_templateні
has_code_of_conductні
has_pull_request_templateні

Сталість та врядування

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

73Добрий · 24% загального індексу
Як обчислюється оцінка
25.2/54Бас-фактор — на 2 контриб’ютор(ів) припадає половина всіх комітів
11.5/22.5Розподіл комітів — головний контриб’ютор — автор 49% комітів
9.5/13.5Широта контриб’юторів — 7 контриб’юторів
10/10OpenSSF Scorecard: Contributors — project has 6 contributing companies or organizations
Використані вхідні дані
bus_factor2
contributors_sampled7
top_contributor_share0,489
Як обчислюється оцінка
41.4/46.8Вирішення issue — закрито 89% issue
32.1/38.3Прийняття PR — злито 110/131 вирішених PR
1.5/15OpenSSF Scorecard: Code-Review — Found 1/7 approved changesets -- score normalized to 1
Використані вхідні дані
merged_prs110
open_issues14
closed_issues109
issue_closed_ratio0,886
closed_unmerged_prs21
Як обчислюється оцінка
30/30Підтримка власника — у власності організації
0/20Верифікований домен
15.2/25Охоплення власника — 129 підписників у CompOmics
25/25Послужний список — 114 публічних репозиторіїв, вік облікового запису ~11 р.
Використані вхідні дані
followers129
owner_typeOrganization
is_verified
owner_loginCompOmics
public_repos114
account_age_days4 143

Супровід пакетів

100Відмінний
Як обчислюється оцінка
25/25Опубліковано й доступно — 1 пакет(ів) у pypi
35/35Свіжість публікацій — остання публікація 3 дн. тому
20/20Історія версій — 45 опублікованих версій
20/20Не застарілий — активний, не deprecated і не yanked
Використані вхідні дані
packagesms2rescore
ecosystemspypi
any_deprecatedні
min_days_since_publish3

Інженерна якість

Чи наявні базові інженерні практики та документація?

90Відмінний · 20% загального індексу
Як обчислюється оцінка
24/24Процеси CI — 2 процес(ів) CI
24/24Наявні тести
16/16Конфігурація лінтера
9.6/9.6Pre-commit-хуки
0/6.4.editorconfig
16/20OpenSSF Scorecard: CI-Tests — 4 out of 5 merged PRs checked by a CI test -- score normalized to 8
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://ms2rescore.readthedocs.io
10/10Опис репозиторію
10/10Теми — 5 тем
0/10Wiki
Використані вхідні дані
topicsproteomics, ms2pip, percolator, deeplc, peptide-identification
has_wikiні
homepagehttps://ms2rescore.readthedocs.io
has_readmeтак
has_docs_dirтак
has_descriptionтак

Безпека

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

58Помірний · 16% загального індексу

Стан безпеки

47У зоні ризику
Як обчислюється оцінка
7.5/7.5Binary-Artifacts — no binaries found in the repo
0/7.5Branch-Protection — немає даних
2/2.5CI-Tests — 4 out of 5 merged PRs checked by a CI test -- score normalized to 8
0/2.5CII-Best-Practices — no effort to earn an OpenSSF best practices badge detected
0.8/7.5Code-Review — Found 1/7 approved changesets -- score normalized to 1
2.5/2.5Contributors — project has 6 contributing companies or organizations
10/10Dangerous-Workflow — no dangerous workflow patterns detected
0/7.5Dependency-Update-Tool — no update tool detected
0/5Fuzzing — project is not fuzzed
2.5/2.5Ліцензія — license file detected
7.5/7.5Maintained — 30 commit(s) and 5 issue activity found in the last 90 days -- score normalized to 10
5/5Packaging — packaging workflow detected
0.5/5Pinned-Dependencies — dependency not pinned by hash detected -- score normalized to 1
0/5SAST — SAST tool is not run on all commits -- score normalized to 0
0/5Security-Policy — security policy file not detected
0/7.5Signed-Releases — Project has not signed or included provenance with any releases.
0/7.5Token-Permissions — detected GitHub workflow tokens with excessive permissions
7.5/7.5Vulnerabilities — 0 existing vulnerabilities detected
Використані вхідні дані
sourceopenssf_scorecard
checks_evaluated17
scorecard_versionv5.5.0
checks_inconclusive1
scorecard_aggregate4,7
Виключено з оцінювання (немає даних або не застосовно): branch_protection. Залишкові ваги перенормовано.
Як обчислюється оцінка
35/35Прямі залежності без відомих сповіщень — жодна пряма залежність не має відомих сповіщень
25/25Непрямі залежності без відомих сповіщень — жодна непряма залежність не має відомих сповіщень
0/40Немає задавнених сповіщень — жодне сповіщення не має дати публікації
Використані вхідні дані
sourceosv
advisories0
affected_packages0
assessed_packages69
unassessed_packages0
affected_by_severitynone
direct_affected_packages0
Виключено з оцінювання (немає даних або не застосовно): Немає задавнених сповіщень. Залишкові ваги перенормовано. Звірено з runtime-замиканням залежностей pypi:ms2rescore@4.0.1 — тим, що тягне за собою встановлення опублікованого пакета, — 69 пакетів. Досяжність не аналізується.

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.

43У зоні ризику · 0% загального індексу
Як обчислюється оцінка
0/45Інструкції для агентів — немає CLAUDE.md / AGENTS.md / правил редактора
0/15Машиночитана документація (llms.txt)
32/40Читабельна історія комітів — намір зазначено у 60 з 100 людських комітів (структурований заголовок або пояснювальний текст)
Використані вхідні дані
has_llms_txtні
legible_history_share0,6
agent_instruction_files
agent_instruction_max_bytes
Як обчислюється оцінка
0/18Розгортання однією командою
22/22Автоматизовані тести
11/11Конфігурація лінтера / форматера
0/11Статична перевірка типів
10/10Відтворюване середовище — Dockerfile, lockfile
4/10Підтверджена практика роботи з агентами — 2 з останніх 100 комітів створено агентом або з його зазначенням
0/8Автоматизоване супроводження — автоматичних оновлень залежностей не виявлено
1/10OpenSSF Scorecard: Pinned-Dependencies — dependency not pinned by hash detected -- score normalized to 1
Використані вхідні дані
has_nixні
has_testsтак
lockfilesuv.lock
has_dockerfileтак
typed_languageні
bootstrap_files
has_devcontainerні
has_linter_configтак
typecheck_configs
agent_commit_share0,02
toolchain_manifests
dependency_bot_commit_share0
Як обчислюється оцінка
0/45Типізований код — Python без конфігурації перевірки типів
53.9/55Керовані розміри файлів — 1/49 файлів вихідного коду понад 60 КБ
Використані вхідні дані
primary_languagePython
largest_source_bytes116 571
source_files_sampled49
oversized_source_files1
Як обчислюється оцінка
0/40Схема API (OpenAPI/GraphQL/proto)
0/20Сервер MCP
40/40Придатні до запуску приклади — examples, notebooks
Використані вхідні дані
example_dirsexamples, notebooks
has_mcp_signalні
api_schema_files

Ключові факти

66зірок GitHub
7контриб'юторів
210комітів за останні 12 місяців
3днів від останнього пушу
43релізів
2бас-фактор
14відкритих issue
PyPIпакетних екосистем

Попередження щодо збору даних

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

Докладніше

Історія зірок і форків 0 ★ / 22 ⇿
0Зірки
22Форки
41Релізи

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.

048121620242212019-082023-012026-06
Мажорні 2Мінорні 3Патчі 13

Кожна точка охоплює 7 днів.

OpenSSF Scorecard 4.7 / 10
4.7сукупно

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 · 2026-07-27 22:27 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
8CI-Tests4 out of 5 merged PRs checked by a CI test -- score normalized to 8
0CII-Best-Practicesno effort to earn an OpenSSF best practices badge detected
1Code-ReviewFound 1/7 approved changesets -- score normalized to 1
10Contributorsproject has 6 contributing companies or organizations
10Dangerous-Workflowno dangerous workflow patterns detected
0Dependency-Update-Toolno update tool detected
0Fuzzingproject is not fuzzed
10Licenselicense file detected
10Maintained30 commit(s) and 5 issue activity found in the last 90 days -- score normalized to 10
10Packagingpackaging workflow detected
1Pinned-Dependenciesdependency not pinned by hash detected -- score normalized to 1
0SASTSAST tool is not run on all commits -- score normalized to 0
0Security-Policysecurity policy file not detected
0Signed-ReleasesProject has not signed or included provenance with any releases.
0Token-Permissionsdetected GitHub workflow tokens with excessive permissions
10Vulnerabilities0 existing vulnerabilities detected
Прямі залежності 18
РеєстрПакетОбмеження версіїМаніфест
PyPIcascade-config>=0.4.0pyproject.toml
PyPIclick>=7pyproject.toml
PyPIcustomtkinter>=5,<6pyproject.toml
PyPIdeeplc>=4.0.0pyproject.toml
PyPIim2deep>=2.0.1pyproject.toml
PyPIjinja2>=3pyproject.toml
PyPIlxml>=4.5pyproject.toml
PyPIms2pip>=4.2.0pyproject.toml
PyPIms2rescore_rs>=0.5.0pyproject.toml
PyPInumpy>=1.25,<3.0pyproject.toml
PyPIpackaging>=25.0pyproject.toml
PyPIpandas>=1pyproject.toml
PyPIplotly>=5pyproject.toml
PyPIpsm_utils>=1.1pyproject.toml
PyPIpyarrow>=14pyproject.toml
PyPIpyteomics>=4.7.2pyproject.toml
PyPIrich>=12pyproject.toml
PyPIristretto-ms>=0.3.0pyproject.toml
Усі залежності 210

Повний розв'язаний набір залежностей із графа залежностей GitHub: 19 прямих і 191 непрямих (транзитивних) пакетів. Транзитивне замикання є повним, коли в репозиторії закомічено lockfile.

РеєстрПакетВерсіяЗв'язок
PyPIcascade-config0.4.0пряма
PyPIclick8.4.2пряма
PyPIcustomtkinter5.2.2пряма
PyPIdeeplc4.0.0пряма
PyPIim2deep2.0.2пряма
PyPIjinja23.1.6пряма
PyPIlxml6.1.1пряма
PyPIms2pip4.2.0пряма
PyPIms2rescore-rs0.5.0пряма
PyPInumpy2.4.6пряма
PyPInumpy2.5.1пряма
PyPIpackaging26.2пряма
PyPIpandas2.3.3пряма
PyPIplotly6.9.0пряма
PyPIpsm-utils1.5.5пряма
PyPIpyarrow25.0.0пряма
PyPIpyteomics4.7.5пряма
PyPIrich14.3.4пряма
PyPIristretto-ms0.3.0пряма
PyPIaiohappyeyeballs2.7.1непряма
PyPIaiohttp3.14.3непряма
PyPIaiosignal1.4.0непряма
PyPIalabaster1.0.0непряма
PyPIaltgraph0.17.5непряма
PyPIannotated-types0.8.0непряма
PyPIanyio4.14.2непряма
PyPIappnope0.1.4непряма
PyPIasttokens3.0.2непряма
PyPIattrs26.1.0непряма
PyPIbabel2.18.0непряма
PyPIbeautifulsoup44.15.0непряма
PyPIblack26.5.1непряма
PyPIbleach6.4.0непряма
PyPIcbor26.1.3непряма
PyPIcertifi2026.7.22непряма
PyPIcffi2.1.0непряма
PyPIcfgv3.5.0непряма
PyPIcharset-normalizer3.4.9непряма
PyPIcolorama0.4.6непряма
PyPIcomm0.2.3непряма
PyPIcontourpy1.3.3непряма
PyPIcoverage7.15.2непряма
PyPIcuda-bindings13.3.1непряма
PyPIcuda-pathfinder1.6.0непряма
PyPIcuda-toolkit13.0.3.0непряма
PyPIcycler0.12.1непряма
PyPIdarkdetect0.8.0непряма
PyPIdebugpy1.8.21непряма
PyPIdecorator5.3.1непряма
PyPIdefusedxml0.7.1непряма
PyPIdistlib0.4.3непряма
PyPIdocutils0.22.4непряма
PyPIexecuting2.2.1непряма
PyPIfastjsonschema2.21.2непряма
PyPIfilelock3.32.0непряма
PyPIfonttools4.63.0непряма
PyPIfrozenlist1.8.0непряма
PyPIfsspec2026.6.0непряма
PyPIgreenlet3.5.4непряма
PyPIh110.16.0непряма
PyPIidentify2.6.19непряма
PyPIidna3.18непряма
PyPIimagesize2.0.0непряма
PyPIiniconfig2.3.0непряма
PyPIipykernel7.3.0непряма
PyPIipython9.15.0непряма
PyPIipython-pygments-lexers1.1.1непряма
PyPIipywidgets8.1.8непряма
PyPIjedi0.20.0непряма
PyPIjoblib1.5.3непряма
PyPIjsonschema4.26.0непряма
PyPIjsonschema-specifications2025.9.1непряма
PyPIjupyter-client8.9.1непряма
PyPIjupyter-core5.9.1непряма
PyPIjupyterlab-pygments0.3.0непряма
PyPIjupyterlab-widgets3.0.16непряма
PyPIkiwisolver1.5.0непряма
PyPIlightning2.6.5непряма
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Сповіщення про залежності 0

Встановлення pypi:ms2rescore@4.0.1 тягне 69 пакетів, прямих і транзитивних: 0 мають відомі сповіщення, з них 0 — прямі залежності.

Жодне відоме сповіщення не стосується оцінених залежностей.

Сповіщення означає, що версія, записана в графі залежностей, потрапляє в уражений діапазон. Досяжність не аналізується, а граф містить піниї розробки й тестування — знахідка може стосуватися інструментів, а не поставленого коду.

Звіт у форматі JSON машиночитний
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          "is_bot": false,
          "headline": "docs: backfill CHANGELOG.md with past release notes",
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          "is_bot": false,
          "headline": "docs: consolidate 4.0.0 alpha and stable release changelogs",
          "author_name": "RalfG",
          "author_login": "RalfG",
          "committed_at": "2026-07-24T15:02:32Z",
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          "headline": "docs: add migration guide",
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          "oid": "5d932275af1f0e5124fce1c04a4f57a7fde40107",
          "body": "README.md had `[ProteomeDiscoverer](#)`, a bare `#` link with no real\ntarget. MyST resolves it to an empty cross-reference string, which is\nharmless locally (just a warning) but crashes sphinx-argparse's xref\nresolution on ReadTheDocs, failing the whole docs build. De-linked to\nplain text instead of guessing an unverified vendor URL.",
          "is_bot": false,
          "headline": "fix: remove placeholder link crashing ReadTheDocs build",
          "author_name": "RalfG",
          "author_login": "RalfG",
          "committed_at": "2026-07-22T14:12:07Z",
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          "headline": "Update changelog",
          "author_name": "RalfG",
          "author_login": "RalfG",
          "committed_at": "2026-07-22T12:48:54Z",
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          "oid": "f990cde731fa82940725928fc9bb2d8af7114134",
          "body": "…ad code\n\nmodel_dir was a real MS2PIPFeatureGenerator kwarg missing from the config\nschema, and im2deep's reference_dataset schema default claimed\n\"Meier_unimod.parquet\" while the actual default falls through to IM2Deep's\nown bundled reference dataset. Also removes an unused self._verbose\nleftover in im2deep.py, mirroring the one already removed from deeplc.py.",
          "is_bot": false,
          "headline": "fix: document im2deep's model_dir/reference_dataset defaults, drop de…",
          "author_name": "RalfG",
          "author_login": "RalfG",
          "committed_at": "2026-07-22T12:46:14Z",
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          "body": "…e kwarg distribution\n\ndeeplc_retrain was redundant since it's already scoped under the deeplc\nfeature generator's own config block. Renamed to finetune; the old name is\nstill accepted for backward compatibility but now emits a DeprecationWarning\nand is mapped onto the new option, with an explicit finetune taking\nprecedence.\n\nAlso consolidated the near-duplicate predict/finetune kwarg filtering into a\nsingle helper, and dropped the unused self._verbose attribute.",
          "is_bot": false,
          "headline": "refactor: rename deeplc_retrain to finetune, clean up predict/finetun…",
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          "committed_at": "2026-07-22T12:10:32Z",
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        {
          "oid": "ef5a4a20445a0a1f97e0844d04371183ae16c91d",
          "body": "ms2_tolerance was removed as an MS2PIPFeatureGenerator kwarg in favor of the\ntop-level tolerance_value/tolerance_mode, but the key was left behind in\nconfig defaults, schema, docs, and the sage example.",
          "is_bot": false,
          "headline": "fix: remove stale ms2_tolerance from ms2pip config",
          "author_name": "RalfG",
          "author_login": "RalfG",
          "committed_at": "2026-07-22T11:11:32Z",
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          "is_bot": false,
          "headline": "Update publish.yml",
          "author_name": "ArthurDeclercq",
          "author_login": "ArthurDeclercq",
          "committed_at": "2026-07-18T08:32:34Z",
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          "body": null,
          "is_bot": false,
          "headline": "updated changelog and lock file",
          "author_name": "ArthurDeclercq",
          "author_login": null,
          "committed_at": "2026-07-17T20:38:14Z",
          "body_truncated": false,
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        {
          "oid": "1fa7aedd6b7eae834a41789fbd225a686513d182",
          "body": "Release/4.0",
          "is_bot": false,
          "headline": "Merge pull request #265 from CompOmics/release/4.0",
          "author_name": "ArthurDeclercq",
          "author_login": "ArthurDeclercq",
          "committed_at": "2026-07-17T17:12:29Z",
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          "body": null,
          "is_bot": false,
          "headline": "fix in reference dataset function im2deep",
          "author_name": "ArthurDeclercq",
          "author_login": null,
          "committed_at": "2026-07-17T16:45:09Z",
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          "is_bot": false,
          "headline": "code review final bugfixes and discrepancies",
          "author_name": "ArthurDeclercq",
          "author_login": null,
          "committed_at": "2026-07-17T16:26:02Z",
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        },
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          "oid": "96eeeed076878e72273326cbdb1a240217db93f6",
          "body": "Fix /docs after ristretto integration",
          "is_bot": false,
          "headline": "Merge pull request #270 from CompOmics/fix/docs-after-ristretto",
          "author_name": "Ralf Gabriels",
          "author_login": "RalfG",
          "committed_at": "2026-07-17T15:15:12Z",
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        },
        {
          "oid": "ce23c8583bb8d235329e1a63f5ae4b8a3531ab18",
          "body": "… into fix/docs-after-ristretto",
          "is_bot": false,
          "headline": "Merge branch 'release/4.0' of https://github.com/CompOmics/ms2rescore…",
          "author_name": "RalfG",
          "author_login": "RalfG",
          "committed_at": "2026-07-17T15:08:00Z",
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        },
        {
          "oid": "ee8a1c83f5db86e7f7e977546b6569c2c3175707",
          "body": "Move package-level private rescoring functions to new module _ristretto_utils.py",
          "is_bot": false,
          "headline": "Merge pull request #269 from CompOmics/fix/rescoring-module",
          "author_name": "ArthurDeclercq",
          "author_login": "ArthurDeclercq",
          "committed_at": "2026-07-17T14:51:02Z",
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          "is_bot": false,
          "headline": "fix: correct test import",
          "author_name": "RalfG",
          "author_login": "RalfG",
          "committed_at": "2026-07-17T14:37:20Z",
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          "is_bot": false,
          "headline": "docs: add rescoring module",
          "author_name": "RalfG",
          "author_login": "RalfG",
          "committed_at": "2026-07-17T13:57:10Z",
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        },
        {
          "oid": "0f1f5231272cc9de4003dca08104a053af2814c9",
          "body": "…s2rescore into fix/docs-after-ristretto",
          "is_bot": false,
          "headline": "Merge branch 'fix/rescoring-module' of https://github.com/CompOmics/m…",
          "author_name": "RalfG",
          "author_login": "RalfG",
          "committed_at": "2026-07-17T13:54:18Z",
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        {
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          "is_bot": false,
          "headline": "fix: update tests",
          "author_name": "RalfG",
          "author_login": "RalfG",
          "committed_at": "2026-07-17T13:52:38Z",
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        {
          "oid": "adeb0ec94e5761aa92f9fb73f054eab2f4f61bc1",
          "body": null,
          "is_bot": false,
          "headline": "Move back some functions only used in rescoring.py",
          "author_name": "RalfG",
          "author_login": "RalfG",
          "committed_at": "2026-07-17T13:47:50Z",
          "body_truncated": false,
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        },
        {
          "oid": "bcd475395ae8cc3e41c00a3336bb450cd5adbddd",
          "body": "… into fix/rescoring-module",
          "is_bot": false,
          "headline": "Merge branch 'release/4.0' of https://github.com/CompOmics/ms2rescore…",
          "author_name": "RalfG",
          "author_login": "RalfG",
          "committed_at": "2026-07-17T13:39:43Z",
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        {
          "oid": "7a52505fbf5d000501632f8e54153751a30aaa83",
          "body": "…to_utils.py",
          "is_bot": false,
          "headline": "Move package-level private rescoring functions to new module _ristret…",
          "author_name": "RalfG",
          "author_login": "RalfG",
          "committed_at": "2026-07-17T13:39:33Z",
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        {
          "oid": "45c45ae90c959631c34a17b0a5a73c997f10d302",
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          "is_bot": false,
          "headline": "end to end test",
          "author_name": "ArthurDeclercq",
          "author_login": null,
          "committed_at": "2026-07-17T10:57:21Z",
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        },
        {
          "oid": "24fadb75b22e88d41258b33d973fe6524f07bc61",
          "body": null,
          "is_bot": false,
          "headline": "docs: update in-depth-python-api and userguide",
          "author_name": "RalfG",
          "author_login": "RalfG",
          "committed_at": "2026-07-17T10:23:12Z",
          "body_truncated": false,
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        },
        {
          "oid": "0ab30b69551e98415c44dc7ed42af0991ad3719e",
          "body": "Replace mokapot rescoring engine with ristretto",
          "is_bot": false,
          "headline": "Merge pull request #268 from CompOmics/feat/add-ristretto",
          "author_name": "ArthurDeclercq",
          "author_login": "ArthurDeclercq",
          "committed_at": "2026-07-17T09:03:16Z",
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          "oid": "c255a3fcfd7fa6f8f0d4e05509e7dceba0ac7fdc",
          "body": null,
          "is_bot": false,
          "headline": "fix import error for python 3.12",
          "author_name": "ArthurDeclercq",
          "author_login": null,
          "committed_at": "2026-07-17T08:40:04Z",
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        },
        {
          "oid": "59de3f31e2cda5fc086e12d11048967cb955805c",
          "body": "Review findings from the cumulative-diff review, addressed:\n\n- rescoring: null never actually disabled rescoring (CascadeConfig's\n  none_overrides_value=False silently ignores it), and the \"skip\n  rescoring\" path that was reachable only in principle would have\n  written no output at all. Rather than\n[…]\nreference).\n\nAlso reformats CHANGELOG.md's \"Breaking changes\" section (non-standard\nKeep a Changelog category) into the canonical Added/Changed/Removed\nsections, with breaking items tagged [BREAKING].",
          "is_bot": false,
          "headline": "Remove ability to skip rescoring; run infer_score_direction per-run",
          "author_name": "RalfG",
          "author_login": "RalfG",
          "committed_at": "2026-07-16T16:18:24Z",
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        },
        {
          "oid": "0f24e598a48cca9c51664b8af7140fcdd1e5711f",
          "body": "Cumulative summary of the mokapot -> ristretto rescoring engine\nmigration (report_fdr, model choice, auto score-direction inference,\noutput-file renames, GUI log.html fix, and the resulting config/API\nremovals), merged into the existing Unreleased section.",
          "is_bot": false,
          "headline": "Add ristretto migration entries to CHANGELOG",
          "author_name": "RalfG",
          "author_login": "RalfG",
          "committed_at": "2026-07-16T15:50:30Z",
          "body_truncated": false,
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        },
        {
          "oid": "fba6411e330732d1456e1d74b3f18ec60e7bd5a1",
          "body": "…of-date",
          "is_bot": false,
          "headline": "docs: minor cleanup; temporarily remove overview figure as it is out-…",
          "author_name": "RalfG",
          "author_login": "RalfG",
          "committed_at": "2026-07-16T15:34:56Z",
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        },
        {
          "oid": "95a9ee6928ed58e02447e5976d956eee0a0ea214",
          "body": "The GUI's logging setup only ever attached a plain FileHandler for\n<prefix>.log.txt -- unlike the CLI, it never used a recording Rich console\nor called save_html(), so <prefix>.log.html (documented as always written)\nwas silently never created for GUI-launched runs. Added the same\nConsole(record=Tru\n[…]\naises.\n\nAlso add an INFO-level log line when rescoring actually starts, since the\nper-fold/rollup/competition detail ristretto itself logs is moving to\nDEBUG level (fixed at the source, in ristretto).",
          "is_bot": false,
          "headline": "Fix missing HTML log file in GUI runs; log when rescoring starts",
          "author_name": "RalfG",
          "author_login": "RalfG",
          "committed_at": "2026-07-16T15:07:55Z",
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        },
        {
          "oid": "617cec085aabe9688be7903546a398aa21330356",
          "body": "…nal API surface\n\n- Fix rescore() always returning empty feature_weights/n_iterations: it\n  rebuilds the final result via ristretto.evaluate() (no training, so those\n  fields come back empty), discarding the real values from the earlier\n  ristretto.rescore() call. Now carried over explicitly, includ\n[…]\ne that explicit rather than presenting it as public API. Also\n  privatized build_features_dataframe and fix_constant_pep, which were\n  only ever called internally within the rescoring workflow itself.",
          "is_bot": false,
          "headline": "Fix empty feature weights, simplify output naming, and minimize inter…",
          "author_name": "RalfG",
          "author_login": "RalfG",
          "committed_at": "2026-07-16T14:55:43Z",
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        },
        {
          "oid": "dc62a277fad5dce4ed1b70d317dd237a5f3bf71e",
          "body": "A user-provided rescoring dict (e.g. \"rescoring\": {} or {\"model\": \"lda\"})\nis passed through as-is by the config cascade -- same as feature_generators\nand psm_generator, where an override is taken at face value rather than\nmerged with defaults (CascadeConfig's max_recursion_depth stops it from\nreachi\n[…]\nig[\"rescoring\"] to ristretto.rescore()\nvia **kwargs instead of naming train_fdr/model explicitly, so ristretto's\nown defaults (train_fdr=0.01, model=\"svm\") apply to whatever the user's\nconfig omitted.",
          "is_bot": false,
          "headline": "Fix KeyError on partial/empty rescoring config",
          "author_name": "RalfG",
          "author_login": "RalfG",
          "committed_at": "2026-07-16T13:10:51Z",
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        },
        {
          "oid": "49104a38ba6de291222a2d0afb7b84d97f3c69a5",
          "body": "Clarifies alongside the existing null (skip rescoring) note that\nrescoring: {} is equivalent to omitting the key, since cascade_config\ndeep-merges schema defaults into a partial dict. Also fixes a stale\nmention that rescoring only exposed train_fdr (model was added earlier).",
          "is_bot": false,
          "headline": "Document that an empty rescoring object uses the schema defaults",
          "author_name": "RalfG",
          "author_login": "RalfG",
          "committed_at": "2026-07-16T12:51:32Z",
          "body_truncated": false,
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        },
        {
          "oid": "aa7a2c013d105819b3e32cb160a4ee28f97ea26e",
          "body": "…e-ristretto-fixes",
          "is_bot": false,
          "headline": "Merge remote-tracking branch 'origin/feat/add-ristretto' into worktre…",
          "author_name": "RalfG",
          "author_login": "RalfG",
          "committed_at": "2026-07-16T12:50:04Z",
          "body_truncated": false,
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        },
        {
          "oid": "2610434c03c257e1a540b44e89ed151f902f327d",
          "body": "Adds a top-level report_fdr setting (default 0.01) used for console-logged\nidentification counts, HTML report stats/charts, and FlashLFQ output\nfiltering. This is independent of rescoring.train_fdr, which only controls\nristretto's semi-supervised training. Standalone report regeneration\n(ms2rescore-report) gains a --fdr option to override the report_fdr stored\nin the original run's full-config.json, without rerunning rescoring.",
          "is_bot": false,
          "headline": "Add report_fdr config option to replace hardcoded 1% FDR threshold",
          "author_name": "RalfG",
          "author_login": "RalfG",
          "committed_at": "2026-07-16T12:49:32Z",
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        },
        {
          "oid": "8d8aec14de9bd1e2498584cf2f6425f3adc136ac",
          "body": "… into feat/add-ristretto",
          "is_bot": false,
          "headline": "Merge branch 'release/4.0' of https://github.com/CompOmics/ms2rescore…",
          "author_name": "RalfG",
          "author_login": "RalfG",
          "committed_at": "2026-07-16T12:35:36Z",
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        },
        {
          "oid": "7d8ed98782fb24870f9dd2259246c95dc9c28a3b",
          "body": "Add rescoring.model config option (svm, the default iterative\nPercolator-style SVM; or lda, a single-pass Fisher LDA that's faster\nbut less powerful on hard-to-separate datasets), threaded through to\nristretto.rescore()'s model kwarg. Adds a GUI dropdown alongside the\nexisting training-FDR field.\n\nR\n[…]\nthe jsonschema2md CLI's\npinned Python interpreter is missing on this machine (pre-existing\nenvironment issue, unrelated to this change) -- the generated\nsections were mirrored exactly by hand instead.",
          "is_bot": false,
          "headline": "Expose ristretto's model choice; always write rescoring tables",
          "author_name": "RalfG",
          "author_login": "RalfG",
          "committed_at": "2026-07-16T12:28:34Z",
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        },
        {
          "oid": "519a3bce4dadd38f3bbae60bbce0325c38d94e76",
          "body": "ristretto-ms>=0.3.0 is now on PyPI, so the local ../ironbrew editable\npath override is no longer needed. Removes the now-empty\n[tool.uv.sources] override and its TODO, and regenerates uv.lock to\nresolve ristretto-ms from the registry.",
          "is_bot": false,
          "headline": "Depend on published ristretto-ms instead of the local editable path",
          "author_name": "RalfG",
          "author_login": "RalfG",
          "committed_at": "2026-07-16T12:13:13Z",
          "body_truncated": false,
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        },
        {
          "oid": "cfe700f86ce527f199509d02908d2949192a6e55",
          "body": "Rescoring result tables are now plain TSV (not Parquet) at every\nidentification level, and only the post-rescoring (\"after\") result is\nwritten -- \"before\" is reconstructed on demand from the main PSM\nlist's provenance data, so it's never persisted. Also documents the\nmax_psm_rank_output > 1 caveat (multi-rank rows, not statistically\nrigorous FDR) and drops the now-obsolete after_report paragraph.",
          "is_bot": false,
          "headline": "Update output-files.rst for the TSV-only, after-only rescoring tables",
          "author_name": "RalfG",
          "author_login": "RalfG",
          "committed_at": "2026-07-16T11:28:32Z",
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        },
        {
          "oid": "b153875ecc24fcf27c8c128467c138ad4cf65e6c",
          "body": "max_psm_rank_output is a special feature for surfacing ambiguous\nresults (e.g. mumble's multiple candidate peptidoforms per spectrum),\nnot for statistically rigorous FDR control when > 1 -- that trade-off\nis now explicit and applied consistently everywhere, instead of\ncomputing a separate always-ran\n[…]\nindexing returns the same underlying PSM\nobject references, not copies, so evaluate_before_from_provenance now\ntakes a real deep copy before mutating scores, to avoid corrupting\nthe caller's psm_list.",
          "is_bot": false,
          "headline": "Rework max_psm_rank_output and report reconstruction",
          "author_name": "RalfG",
          "author_login": "RalfG",
          "committed_at": "2026-07-16T11:27:32Z",
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        {
          "oid": "6e425d19010c4fe6c40c969728a239c44523df98",
          "body": "build_features_dataframe now includes a \"run\" column, and every\nristretto.rescore()/evaluate() call passes run_col=\"run\" (requires\nristretto-ms>=0.3.0). Competition and CV splitting now group by\n(run, spectrum_id) at the source, instead of spectrum_id alone --\npreviously, two different physical spec\n[…]\nntirely: \"run\" now\ncomes back natively on every RescoreResult.psms from ristretto itself,\nso there's no more index-alignment hack needed on the ms2rescore side.\n\nBumps the ristretto-ms pin to >=0.3.0.",
          "is_bot": false,
          "headline": "Fix multi-run spectrum_id collisions via ristretto's new run_col",
          "author_name": "RalfG",
          "author_login": "RalfG",
          "committed_at": "2026-07-16T09:49:38Z",
          "body_truncated": true,
          "is_coding_agent": false
        },
        {
          "oid": "5a7706a3a105beba66ece6bb14458bddb7d61145",
          "body": "write_rescoring_tables() writes an additional set of *_after_report\nParquet tables when max_psm_rank_output > 1 (the rank-1 report view,\ndistinct from the multi-rank *_after files), which wasn't mentioned\nanywhere in the output-files reference.",
          "is_bot": false,
          "headline": "Document after_report Parquet output files",
          "author_name": "RalfG",
          "author_login": "RalfG",
          "committed_at": "2026-07-16T09:11:06Z",
          "body_truncated": false,
          "is_coding_agent": false
        },
        {
          "oid": "723a9a09d380ce588140dc97a62a400bd190202a",
          "body": "…n report\n\ncompute_id_stats/identification_overlap consumed before_result unmasked,\nunlike core.py's console-log count, which excludes mumble-generated\nalternate candidates via psm.metadata['original_psm']. Attach that\nmask onto before_result.psms itself (evaluate_before), the same way\nrun already i\n[…]\nfor that level.\n\nAdds direct unit coverage for both: _n_identified's masking behavior,\nand identification_overlap's run-based disambiguation (which the old\nbare-spectrum_id grouping would undercount).",
          "is_bot": false,
          "headline": "Apply mumble original_psm mask and run+spectrum_id key consistently i…",
          "author_name": "RalfG",
          "author_login": "RalfG",
          "committed_at": "2026-07-16T09:10:35Z",
          "body_truncated": true,
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        },
        {
          "oid": "96b8dc0ac4362a22dbcbb746b022ac17ce9245ee",
          "body": "fix_constant_pep previously only filtered result.psms, leaving\npeptidoform/peptide/protein rollups computed on the decoy-contaminated\npopulation -- _write_group_metadata would then look up stale\nscores/qvalues/PEPs for surviving PSMs. Now recomputes q-values, PEP,\nand rollups from scratch via ristre\n[…]\nt while the\nreal output looked fine. Split the fix into a result-only core\n(_fix_constant_pep_result) plus the existing psm_list-aware wrapper,\nand apply the core check to report_result independently.",
          "is_bot": false,
          "headline": "Refresh rollups in fix_constant_pep and apply it to report_result too",
          "author_name": "RalfG",
          "author_login": "RalfG",
          "committed_at": "2026-07-16T09:05:14Z",
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        },
        {
          "oid": "98c5d51e0dc150b5eddb4afd283f1d3f94a189d7",
          "body": null,
          "is_bot": false,
          "headline": "commit new lock file",
          "author_name": "ArthurDeclercq",
          "author_login": null,
          "committed_at": "2026-07-16T08:13:47Z",
          "body_truncated": false,
          "is_coding_agent": false
        },
        {
          "oid": "4726d4d10685d9d9181b5b9849d85e48ae357a0b",
          "body": "fix_constant_pep now takes/returns a (PSMList, RescoreResult) pair;\nrescore() returns (psm_list, after_result, after_report_result).\nRescoreResult.psms now always carries a run column. Adds coverage for\nthe new report_result (rank-1 view, distinct from a multi-rank final\nresult) and the after_report Parquet table written when they differ.\nAlso asserts rescoring_tables_unavailable is set when the ristretto\nParquet tables are missing.",
          "is_bot": false,
          "headline": "Update tests for rescore()'s 3-tuple return and RescoreResult schema",
          "author_name": "RalfG",
          "author_login": "RalfG",
          "committed_at": "2026-07-15T22:14:47Z",
          "body_truncated": false,
          "is_coding_agent": false
        },
        {
          "oid": "9abf1c917111df815ddc0c3c881fb1acf1663019",
          "body": "The \"Rescoring result tables\" table had inconsistent column-divider\npositions across its border/header/content rows (four different\nwidths), which docutils/Sphinx rejects as a malformed table. Rebuilt\nit with consistent column widths (verified programmatically: every\nrow shares identical +/| column positions).",
          "is_bot": false,
          "headline": "Fix malformed RST grid table in output-files.rst",
          "author_name": "RalfG",
          "author_login": "RalfG",
          "committed_at": "2026-07-15T22:11:37Z",
          "body_truncated": false,
          "is_coding_agent": false
        },
        {
          "oid": "f6af833dac16dc1bec5b28bc6c25b4b5aec45672",
          "body": "…p levels\n\ncreate_psm_dataframe: filter psm_list to rank==1 (the report is always\na single-best-PSM-per-spectrum view, regardless of max_psm_rank_output)\nand merge before/after by (run, spectrum_id) instead of (spectrum_id,\npeptidoform). The old peptidoform-keyed merge produced NaN\nscore_before/qval\n[…]\n after_report table (rank-1 view) over after (which may be\nmulti-rank) when both exist. The overview tab shows an explicit notice\nwhen tables are unavailable instead of silently rendering empty stats.",
          "is_bot": false,
          "headline": "Rework report before/after comparison to (run, spectrum_id) + 4 rollu…",
          "author_name": "RalfG",
          "author_login": "RalfG",
          "committed_at": "2026-07-15T22:09:00Z",
          "body_truncated": true,
          "is_coding_agent": false
        },
        {
          "oid": "27c4c4c98371b91736ed060ffb7cba8857223cf9",
          "body": "ristretto's RescoreResult schema has no room for a passthrough run\ncolumn, so attach it after the fact (index-aligned against the\noriginal PSMList) on before_result, final_result, and report_result.\nEnables merging before/after by (run, spectrum_id) in the report,\nguarding against spectrum_id collis\n[…]\nset when it differs from after (i.e. max_psm_rank_output > 1), so\nstandalone report regeneration (ms2rescore-report) can use the same\nalways-rank-1 view as a live run instead of the multi-rank result.",
          "is_bot": false,
          "headline": "Attach run to RescoreResult.psms; persist a separate after_report table",
          "author_name": "RalfG",
          "author_login": "RalfG",
          "committed_at": "2026-07-15T22:03:35Z",
          "body_truncated": true,
          "is_coding_agent": false
        },
        {
          "oid": "b6093887be54e585d636f6ca6f53b28b68e77171",
          "body": "psm.get_usi() bakes the peptidoform into the string. Once\nrename_to_usi overwrote psm_list's spectrum_id (before rescore()),\nristretto's spectrum-grouped competition -- keyed on spectrum_id --\nsaw every candidate peptidoform for a spectrum as its own singleton\ngroup, breaking competition whenever ma\n[…]\nd from psm_list).\n\nRestore the mumble-candidate exclusion (via the original_psm metadata\nflag) when counting identified PSMs before rescoring, matching what\nthe deleted _log_id_psms_before used to do.",
          "is_bot": false,
          "headline": "Fix USI/spectrum-grouping bug and always report at rank-1",
          "author_name": "RalfG",
          "author_login": "RalfG",
          "committed_at": "2026-07-15T21:44:37Z",
          "body_truncated": true,
          "is_coding_agent": false
        },
        {
          "oid": "d46c24d4acc6dd65d03edde28a5241cfbe51c503",
          "body": null,
          "is_bot": false,
          "headline": "removed local paths",
          "author_name": "ArthurDeclercq",
          "author_login": null,
          "committed_at": "2026-07-15T16:01:14Z",
          "body_truncated": false,
          "is_coding_agent": false
        },
        {
          "oid": "fe4573eedf3ce3de6568933c014d1431135915e1",
          "body": "_write_group_metadata crashed with KeyError for decoy PSMs whenever\nprotein-level FDR used picked-protein competition (id_decoy_pattern\nset): ristretto's picked_rollup strips the decoy pattern from group\nkeys, so strip it the same way before the lookup. Log a warning when\nplain rollup runs instead (\n[…]\nw, and correctly\ncompetes multiple candidate PSMs per spectrum (relevant since this\nruns before rank filtering). Warn when the inferred direction is\nlower-is-better, since that's the less common case.",
          "is_bot": false,
          "headline": "Fix protein rollup KeyError and improve score-direction inference",
          "author_name": "RalfG",
          "author_login": "RalfG",
          "committed_at": "2026-07-15T16:00:03Z",
          "body_truncated": true,
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        },
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          "oid": "84cf197f5cfa4899e280ee8dc10828eb35692e17",
          "body": null,
          "is_bot": false,
          "headline": "bugfix im2deep, updated dependency packages and lockfile",
          "author_name": "ArthurDeclercq",
          "author_login": null,
          "committed_at": "2026-07-15T15:48:18Z",
          "body_truncated": false,
          "is_coding_agent": false
        },
        {
          "oid": "391450bcccecccf57a809789e8847a5ad2a0ea86",
          "body": "Swap ms2rescore/rescoring_engines/mokapot.py for a new\nms2rescore/rescoring.py built on ristretto's rescore()/evaluate().\nUpdate config schema and defaults for ristretto's train_fdr, and\ndrop lower_score_is_better in favor of automatic score-direction\ninference. Rework report generation to consume ristretto's\nbefore/after RescoreResult objects. Update docs, examples, and add\nintegration tests for the new pipeline.",
          "is_bot": false,
          "headline": "Replace mokapot rescoring engine with ristretto",
          "author_name": "RalfG",
          "author_login": "RalfG",
          "committed_at": "2026-07-15T15:47:03Z",
          "body_truncated": false,
          "is_coding_agent": false
        },
        {
          "oid": "b02dd3e1fda48c3f9b17ae57537baa970ee3031e",
          "body": "Mumble doc",
          "is_bot": false,
          "headline": "Merge pull request #266 from CompOmics/mumble-doc",
          "author_name": "ArthurDeclercq",
          "author_login": "ArthurDeclercq",
          "committed_at": "2026-07-15T08:25:22Z",
          "body_truncated": false,
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        },
        {
          "oid": "108700f4e50e9c4b173576a0cbd1f4059ba08d53",
          "body": null,
          "is_bot": false,
          "headline": "updated docs accordingly",
          "author_name": "ArthurDeclercq",
          "author_login": null,
          "committed_at": "2026-07-15T08:06:38Z",
          "body_truncated": false,
          "is_coding_agent": false
        },
        {
          "oid": "cad73667724c01f0a93da807d08bd73d54b35515",
          "body": null,
          "is_bot": false,
          "headline": "less stringent threshold for mumble psm filtering",
          "author_name": "ArthurDeclercq",
          "author_login": null,
          "committed_at": "2026-07-15T08:03:35Z",
          "body_truncated": false,
          "is_coding_agent": false
        },
        {
          "oid": "ce12c6cb46a6b8533310a367c3243c3efcec669d",
          "body": "Mumble candidate PSMs are unconfirmed mass-shift hypotheses, but they\ninherit the original PSM's score/qvalue/is_decoy verbatim (mumble\nbuilds each candidate via deepcopy, only replacing the peptidoform).\nfilter_mumble_psms() only runs after the feature-generator loop, so\nDeepLC/IM2Deep's q-value-ba\n[…]\n, several same-spectrum candidates can tie on\nrescoring score; which one is kept as the top hit is not deterministic\n(pandas' default sort is not stable), only cosmetic ordering, not a\nreal tie-break.",
          "is_bot": false,
          "headline": "fix: exclude unconfirmed Mumble PSMs from RT/CCS calibration",
          "author_name": "ArthurDeclercq",
          "author_login": null,
          "committed_at": "2026-07-14T15:48:21Z",
          "body_truncated": true,
          "is_coding_agent": false
        },
        {
          "oid": "37453df870a8bedfa308e11661012cad999f1f10",
          "body": "Mumble had no dedicated documentation: no user guide page, and the\nconfig schema for its \"psm_generator\" entry was incomplete and\ncontained wrong defaults/descriptions (mass_error default 0.2 instead\nof 0.02, fasta_file description copy-pasted from another option).\n\nAdd a full user guide page, a \"Co\n[…]\nmplete\nthe mumble config schema to match the real Mumble API\n(combination_length, exclude_mutations, modification_file,\nall_unimod_modifications). All surfaces explicitly mark Mumble as\nbeta software.",
          "is_bot": false,
          "headline": "docs: add Mumble PSM generator documentation, mark as beta",
          "author_name": "ArthurDeclercq",
          "author_login": null,
          "committed_at": "2026-07-14T13:35:08Z",
          "body_truncated": true,
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        {
          "oid": "6589ba26c844f21d1da786af65dde9fc4f3e5fe6",
          "body": null,
          "is_bot": false,
          "headline": "updated pyproject and lock file",
          "author_name": "ArthurDeclercq",
          "author_login": null,
          "committed_at": "2026-07-14T13:19:33Z",
          "body_truncated": false,
          "is_coding_agent": false
        },
        {
          "oid": "53e4cee30fabdcc690b95727598909ffd9660668",
          "body": "Percolator removal",
          "is_bot": false,
          "headline": "Merge pull request #264 from CompOmics/percolator-removal",
          "author_name": "ArthurDeclercq",
          "author_login": "ArthurDeclercq",
          "committed_at": "2026-07-14T12:18:38Z",
          "body_truncated": false,
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        },
        {
          "oid": "3b26484cdfeec22a253100d3d47961472f718a95",
          "body": "deps: remove tomli (was only required for Python <3.11)",
          "is_bot": false,
          "headline": "Merge pull request #262 from CompOmics/deps/remove-tomli",
          "author_name": "ArthurDeclercq",
          "author_login": "ArthurDeclercq",
          "committed_at": "2026-07-14T12:15:39Z",
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          "is_bot": false,
          "headline": "documentation update",
          "author_name": "ArthurDeclercq",
          "author_login": null,
          "committed_at": "2026-07-14T12:13:24Z",
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          "oid": "bfd8a685870dc88c118ab0d9b854a67208d6a42a",
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          "is_bot": false,
          "headline": "updated documentation without percolator",
          "author_name": "ArthurDeclercq",
          "author_login": null,
          "committed_at": "2026-07-14T12:08:55Z",
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          "is_bot": false,
          "headline": "removed percolator",
          "author_name": "ArthurDeclercq",
          "author_login": null,
          "committed_at": "2026-07-14T12:08:35Z",
          "body_truncated": false,
          "is_coding_agent": false
        },
        {
          "oid": "2f04133d9ecd20ede300952b447eff9f6533218e",
          "body": "In memory report",
          "is_bot": false,
          "headline": "Merge pull request #263 from CompOmics/in-memory-report",
          "author_name": "ArthurDeclercq",
          "author_login": "ArthurDeclercq",
          "committed_at": "2026-07-14T11:30:45Z",
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          "oid": "05f3fd973ac9ce9c98d6b6038f7045904d2ed87b",
          "body": null,
          "is_bot": false,
          "headline": "updated style and template of plotting",
          "author_name": "ArthurDeclercq",
          "author_login": null,
          "committed_at": "2026-07-14T11:25:18Z",
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          "oid": "6f293d1a98d4b30692800b5a5f429db92f5aa2d7",
          "body": null,
          "is_bot": false,
          "headline": "deeplc bug fix to select best head not just first head",
          "author_name": "ArthurDeclercq",
          "author_login": null,
          "committed_at": "2026-07-14T09:40:12Z",
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          "oid": "7e592786a35ab48bcc0d5485e659b83bdc8281d9",
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          "is_bot": false,
          "headline": "updated lock file",
          "author_name": "ArthurDeclercq",
          "author_login": null,
          "committed_at": "2026-07-14T09:11:27Z",
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          "oid": "01ba11c63442d40de6cb011c29442702e7dfaae9",
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          "headline": "new testcases for report",
          "author_name": "ArthurDeclercq",
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          "is_bot": false,
          "headline": "changes in the api of how report is generated",
          "author_name": "ArthurDeclercq",
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          "is_bot": false,
          "headline": "changes to report using new dataclass and helper functions",
          "author_name": "ArthurDeclercq",
          "author_login": null,
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          "headline": "new dataclass for report generation",
          "author_name": "ArthurDeclercq",
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          "oid": "6a4ac7352e2d59c80d9e517262c35fb1351b5cb3",
          "body": "Test suite",
          "is_bot": false,
          "headline": "Merge pull request #261 from CompOmics/test-suite",
          "author_name": "ArthurDeclercq",
          "author_login": "ArthurDeclercq",
          "committed_at": "2026-07-13T16:45:29Z",
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        },
        {
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          "body": null,
          "is_bot": false,
          "headline": "update pyproject with new versions of im2deep, ms2pip and ms2rescore-rs",
          "author_name": "ArthurDeclercq",
          "author_login": null,
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          "is_bot": false,
          "headline": "deps: remove tomli (was only required for Python <3.11)",
          "author_name": "RalfG",
          "author_login": "RalfG",
          "committed_at": "2026-07-13T16:40:51Z",
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        },
        {
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          "body": null,
          "is_bot": false,
          "headline": "release spectra before rescoring",
          "author_name": "ArthurDeclercq",
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          "headline": "small change fg to fix potential bugs",
          "author_name": "ArthurDeclercq",
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          "headline": "removed deprecation warnings",
          "author_name": "ArthurDeclercq",
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          "committed_at": "2026-07-13T13:56:28Z",
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          "is_bot": false,
          "headline": "add additional tests for the feature generators",
          "author_name": "ArthurDeclercq",
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          "committed_at": "2026-07-13T13:38:49Z",
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          "body": "…ation\n\nrefactor: Centralize spectrum annotation and migrate to new ms2pip/ms2 APIs",
          "is_bot": false,
          "headline": "Merge pull request #260 from CompOmics/feat/centralize-spectrum-annot…",
          "author_name": "Ralf Gabriels",
          "author_login": "RalfG",
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          "headline": "removed unused import",
          "author_name": "ArthurDeclercq",
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          "is_bot": false,
          "headline": "ms2fg tests",
          "author_name": "ArthurDeclercq",
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                "status": "met",
                "details": [],
                "max_points": 16
              },
              {
                "key": "pre_commit_hooks",
                "name": "Pre-commit hooks",
                "detail": null,
                "points": 9.6,
                "status": "met",
                "details": [],
                "max_points": 9.6
              },
              {
                "key": "editorconfig",
                "name": ".editorconfig",
                "detail": null,
                "points": 0,
                "status": "missed",
                "details": [],
                "max_points": 6.4
              },
              {
                "key": "openssf_scorecard_ci_tests",
                "name": "OpenSSF Scorecard: CI-Tests",
                "detail": "4 out of 5 merged PRs checked by a CI test -- score normalized to 8",
                "points": 16,
                "status": "partial",
                "details": [],
                "max_points": 20
              }
            ]
          },
          {
            "key": "documentation",
            "band": "excellent",
            "name": "Documentation",
            "note": null,
            "notes": [],
            "value": 90,
            "inputs": {
              "topics": [
                "proteomics",
                "ms2pip",
                "percolator",
                "deeplc",
                "peptide-identification"
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              "has_wiki": false,
              "homepage": "https://ms2rescore.readthedocs.io",
              "has_readme": true,
              "has_docs_dir": true,
              "has_description": true
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            "components": [
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                "key": "readme",
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                "detail": null,
                "points": 30,
                "status": "met",
                "details": [],
                "max_points": 30
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                "key": "documentation_directory",
                "name": "Documentation directory",
                "detail": null,
                "points": 25,
                "status": "met",
                "details": [],
                "max_points": 25
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              {
                "key": "documentation_homepage_site",
                "name": "Documentation / homepage site",
                "detail": "https://ms2rescore.readthedocs.io",
                "points": 15,
                "status": "met",
                "details": [],
                "max_points": 15
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              {
                "key": "repository_description",
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                "detail": null,
                "points": 10,
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                "details": [],
                "max_points": 10
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              {
                "key": "topics",
                "name": "Topics",
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                "status": "met",
                "details": [
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                "max_points": 10
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              {
                "key": "wiki",
                "name": "Wiki",
                "detail": null,
                "points": 0,
                "status": "missed",
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                "max_points": 10
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            ]
          }
        ],
        "description": "Are baseline engineering and documentation practices in place?"
      },
      {
        "key": "security",
        "band": "moderate",
        "name": "Security",
        "value": 58,
        "weight": 0.16,
        "metrics": [
          {
            "key": "security_posture",
            "band": "at_risk",
            "name": "Security posture",
            "note": "Excluded from scoring (no data or not applicable): Branch-Protection. Remaining weights renormalized.",
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                "code": "excluded_no_data",
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                  "components": [
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            "value": 47,
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                "points": 0,
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                "points": 0,
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                "key": "code_review",
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                "points": 10,
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                "max_points": 10
              },
              {
                "key": "dependency_update_tool",
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                "status": "missed",
                "details": [],
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                "key": "fuzzing",
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                "status": "met",
                "details": [],
                "max_points": 7.5
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                "key": "packaging",
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                "points": 5,
                "status": "met",
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                "max_points": 5
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                "points": 0,
                "status": "missed",
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                "max_points": 5
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                "key": "security_policy",
                "name": "Security-Policy",
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                "points": 0,
                "status": "missed",
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                "max_points": 5
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              {
                "key": "signed_releases",
                "name": "Signed-Releases",
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                "status": "missed",
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                "max_points": 7.5
              },
              {
                "key": "token_permissions",
                "name": "Token-Permissions",
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                "points": 0,
                "status": "missed",
                "details": [],
                "max_points": 7.5
              },
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                "key": "vulnerabilities",
                "name": "Vulnerabilities",
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                "points": 7.5,
                "status": "met",
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                "max_points": 7.5
              }
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          },
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            "key": "dependency_advisories",
            "band": "excellent",
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            "notes": [
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                "code": "excluded_no_data",
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                }
              },
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                "code": "weights_renormalized",
                "params": {}
              },
              {
                "code": "advisories_scope_published",
                "params": {
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                "code": "advisories_reachability",
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            "inputs": {
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              "affected_packages": 0,
              "assessed_packages": 69,
              "unassessed_packages": 0,
              "affected_by_severity": "none",
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            "components": [
              {
                "key": "direct_dependencies_free_of_known_advisories",
                "name": "Direct dependencies free of known advisories",
                "detail": "no direct dependency carries a known advisory",
                "points": 35,
                "status": "met",
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                "max_points": 35
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              {
                "key": "indirect_dependencies_free_of_known_advisories",
                "name": "Indirect dependencies free of known advisories",
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                "points": 25,
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            "note": null,
            "notes": [],
            "value": 100,
            "inputs": {
              "source": "osv",
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              "packages": [],
              "red_flag": false,
              "assessed_packages": 69,
              "malicious_packages": 0,
              "direct_malicious_packages": 0,
              "withdrawn_malicious_packages": 0,
              "installable_malicious_packages": 0
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            "components": [
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                "key": "no_dependency_reported_as_a_malicious_package",
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                "points": 100,
                "status": "met",
                "details": [
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          },
          {
            "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",
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              "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": [
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                    "code": "jurisdiction_no_match",
                    "params": {}
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                ],
                "max_points": 100
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        ],
        "description": "Are visible security and supply-chain practices strong, with no malicious dependency and no unresolved high-risk jurisdiction exposure?"
      },
      {
        "key": "ai_readiness",
        "band": "at_risk",
        "name": "AI Readiness",
        "value": 43,
        "weight": 0,
        "metrics": [
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            "key": "ai_agent_context",
            "band": "at_risk",
            "name": "Agent context & guidance",
            "note": null,
            "notes": [],
            "value": 32,
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              "agent_instruction_max_bytes": null
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                "key": "agent_instructions",
                "name": "Agent instructions",
                "detail": "no CLAUDE.md / AGENTS.md / editor rules",
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                "status": "missed",
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                "key": "machine_readable_docs_llms_txt",
                "name": "Machine-readable docs (llms.txt)",
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                "points": 0,
                "status": "missed",
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                "key": "legible_commit_history",
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                "status": "partial",
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                    "code": "legible_history",
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                      "sampled": 100
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                "max_points": 40
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          {
            "key": "ai_verify_loop",
            "band": "at_risk",
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            "note": null,
            "notes": [],
            "value": 48,
            "inputs": {
              "has_nix": false,
              "has_tests": true,
              "lockfiles": [
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              "typed_language": false,
              "bootstrap_files": [],
              "has_devcontainer": false,
              "has_linter_config": true,
              "typecheck_configs": [],
              "agent_commit_share": 0.02,
              "toolchain_manifests": [],
              "dependency_bot_commit_share": 0
            },
            "components": [
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                "key": "one_command_bootstrap",
                "name": "One-command bootstrap",
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                "points": 0,
                "status": "missed",
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              },
              {
                "key": "automated_tests",
                "name": "Automated tests",
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                "points": 22,
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              },
              {
                "key": "lint_format_config",
                "name": "Lint / format config",
                "detail": null,
                "points": 11,
                "status": "met",
                "details": [],
                "max_points": 11
              },
              {
                "key": "static_type_checking",
                "name": "Static type checking",
                "detail": null,
                "points": 0,
                "status": "missed",
                "details": [],
                "max_points": 11
              },
              {
                "key": "reproducible_environment",
                "name": "Reproducible environment",
                "detail": "Dockerfile, lockfile",
                "points": 10,
                "status": "met",
                "details": [
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                "key": "demonstrated_agent_practice",
                "name": "Demonstrated agent practice",
                "detail": "2 of the last 100 commits agent-authored or agent-credited",
                "points": 4,
                "status": "partial",
                "details": [
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                ],
                "max_points": 10
              },
              {
                "key": "automated_maintenance",
                "name": "Automated maintenance",
                "detail": "no automated dependency updates observed",
                "points": 0,
                "status": "missed",
                "details": [
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                    "params": {}
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                "max_points": 8
              },
              {
                "key": "openssf_scorecard_pinned_dependencies",
                "name": "OpenSSF Scorecard: Pinned-Dependencies",
                "detail": "dependency not pinned by hash detected -- score normalized to 1",
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                "status": "partial",
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          },
          {
            "key": "ai_code_legibility",
            "band": "moderate",
            "name": "Code legibility for models",
            "note": null,
            "notes": [],
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            "inputs": {
              "primary_language": "Python",
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              "source_files_sampled": 49,
              "oversized_source_files": 1
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            "components": [
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                "detail": "Python without a type-check config",
                "points": 0,
                "status": "missed",
                "details": [
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                    "code": "no_typecheck_config_language",
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                  }
                ],
                "max_points": 45
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                "key": "manageable_file_sizes",
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          },
          {
            "key": "ai_interfaces",
            "band": "at_risk",
            "name": "Machine-readable interfaces",
            "note": null,
            "notes": [],
            "value": 40,
            "inputs": {
              "example_dirs": [
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              "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": "examples, notebooks",
                "points": 40,
                "status": "met",
                "details": [
                  {
                    "code": "file_list",
                    "params": {
                      "files": "examples, notebooks"
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                "max_points": 40
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            ]
          }
        ],
        "description": "How well is the repo equipped to be developed and maintained with AI coding agents? An independent, experimental badge — weight 0.0, so it is surfaced on its own and does not affect the overall health score."
      }
    ],
    "metrics_version": "1.13.0"
  },
  "warnings": [
    "Star history unavailable: GitHub GraphQL error: Resource not accessible by personal access token"
  ],
  "report_type": "repository",
  "generated_at": "2026-07-27T22:27:21.075230Z",
  "schema_version": "0.27.0",
  "badge_url": "https://raw.githubusercontent.com/inspect-software/badges/main/v1/c/CompOmics/ms2rescore.svg",
  "full_name": "CompOmics/ms2rescore",
  "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 v0.27.0 — повна методологія · вікі метрик.

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