Публічний реєстрДобрий
Звіт про здоров'я програмного забезпеченнясхема 0.27.0 · метрики 1.13.0 · 2026-07-25 06:59 UTC
MagnivOrg / prompt-layer-library
🍰 PromptLayer - Maintain a log of your prompts and OpenAI API requests. Track, debug, and replay old completions.
MagnivOrg/prompt-layer-library має індекс здоров’я 79 зі 100, що відповідає смузі «Добрий». Найвищий показник — Engineering Quality (90/100), найнижчий — AI Readiness (56/100). Останнє оновлення було 2 дні тому. Більшість нещодавньої роботи виконують 2 учасники.
79
загалом / 100Індекс здоров'я програмного забезпечення
Метрики згруповано у зважені категорії на шкалі 1–100. Загальна оцінка починається як їхнє середнє; коли публічні дані активують Політику юрисдикцій високого ризику, рейтинг коригується й отримує верхню межу 49 («Під ризиком»). Готовність до ШІ не входить до індексу.
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)
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
PromptLayerОрганізація
79 підписників25 публічних репозиторіївз груд. 2021 р.
За цим репозиторієм стоїть організація — спільна, підзвітна опіка, здатна пережити будь-якого окремого мейнтейнера.
Пакетні екосистеми
| Реєстр | Пакет | Версія | Завантажень / міс | Версії | Остання публікація |
|---|---|---|---|---|---|
| PyPI | promptlayer | 1.5.1 | 482 214 | 190 | 2 дні тому |
Метрики за категоріями
Життєздатність
Чи живий проєкт — чи пишеться код і чи виходять релізи?
87
Активність розробки
86Відмінний
Як обчислюється оцінка
| 36/36 | Свіжість push — останній push 2 дн. тому |
| 22.2/36 | Ритм комітів — 32/52 тижнів із комітами |
| 18/18 | Обсяг комітів — 103 комітів за останній рік |
| 10/10 | OpenSSF Scorecard: Maintained — 28 commit(s) and 0 issue activity found in the last 90 days -- score normalized to 10 |
Використані вхідні дані
| commits_last_year | 103 |
| human_commit_share | 0,94 |
| days_since_last_push | 2 |
| active_weeks_last_year | 32 |
Дисципліна релізів
88Відмінний
Як обчислюється оцінка
| 16.2/27 | Випускає релізи — 24 тегів версій (без релізів GitHub) |
| 36/36 | Свіжість релізів — останній реліз 2 дн. тому |
| 27/27 | Ритм релізів — реліз кожні ~11,7 дн. |
| 0/10 | OpenSSF Scorecard: Signed-Releases — немає даних |
Використані вхідні дані
| releases_count | 24 |
| latest_release_tag | v1.5.1 |
| releases_from_tags | так |
| days_since_latest_release | 2 |
| mean_days_between_releases | 11,7 |
Виключено з оцінювання (немає даних або не застосовно): OpenSSF Scorecard: Signed-Releases. Залишкові ваги перенормовано.
Спільнота та впровадження
Чи має проєкт користувачів, завантаження, увагу та влаштовані умови для контриб’юторів?
68
Популярність і впровадження
67Помірний
Як обчислюється оцінка
| 46.9/60 | Зірки — 780 зірок |
| 16.3/25 | Форки — 92 форків |
| 3.9/15 | Спостерігачі — 6 спостерігачів |
Використані вхідні дані
| forks | 92 |
| stars | 780 |
| watchers | 6 |
| growth_state | unverified |
| growth_factor_pct | 100 |
| growth_unverified_reason | no_history |
Здоров'я спільноти
50Помірний
Як обчислюється оцінка
| 22.5/22.5 | README |
| 22.5/22.5 | Ліцензія — визнана ліцензія (Apache-2.0) |
| 0/18 | Настанови CONTRIBUTING |
| 0/13.5 | Кодекс поведінки |
| 0/7.2 | Шаблон issue |
| 0/6.3 | Шаблон PR |
Використані вхідні дані
| has_readme | так |
| has_license | так |
| has_contributing | ні |
| has_issue_template | ні |
| has_code_of_conduct | ні |
| has_pull_request_template | ні |
Впровадження в екосистемі (завантаження)
95Відмінний
Як обчислюється оцінка
| 75.8/80 | Щомісячні завантаження — 482 214 завантажень/місяць у pypi |
| 0/20 | Залежні пакети в реєстрі — ця екосистема цього не повідомляє |
Використані вхідні дані
| packages | promptlayer |
| dependents | — |
| ecosystems | pypi |
| total_downloads | — |
| monthly_downloads | 482 214 |
Виключено з оцінювання (немає даних або не застосовно): Залежні пакети в реєстрі. Залишкові ваги перенормовано.
Сталість та врядування
Чи переживе проєкт своїх людей — бас-фактор, реактивність, хто за ним стоїть і як супроводжуються пакети?
76
Стійкість мейнтейнерів (бас-фактор)
61Помірний
Як обчислюється оцінка
| 25.2/54 | Бас-фактор — на 2 контриб’ютор(ів) припадає половина всіх комітів |
| 12.7/22.5 | Розподіл комітів — головний контриб’ютор — автор 44% комітів |
| 13.5/13.5 | Широта контриб’юторів — 25 контриб’юторів |
| 10/10 | OpenSSF Scorecard: Contributors — project has 4 contributing companies or organizations |
Використані вхідні дані
| bus_factor | 2 |
| contributors_sampled | 25 |
| top_contributor_share | 0,437 |
Реактивність на issue та PR
86Відмінний
Як обчислюється оцінка
| 39.5/46.8 | Вирішення issue — закрито 84% issue |
| 31.3/38.3 | Прийняття PR — злито 184/225 вирішених PR |
| 15/15 | OpenSSF Scorecard: Code-Review — all changesets reviewed |
Використані вхідні дані
| merged_prs | 184 |
| open_issues | 15 |
| closed_issues | 81 |
| issue_closed_ratio | 0,844 |
| closed_unmerged_prs | 41 |
Власність та опіка
63Помірний
Як обчислюється оцінка
| 30/30 | Підтримка власника — у власності організації |
| 0/20 | Верифікований домен |
| 13.7/25 | Охоплення власника — 79 підписників у MagnivOrg |
| 19.5/25 | Послужний список — 25 публічних репозиторіїв, вік облікового запису ~4 р. |
Використані вхідні дані
| followers | 79 |
| owner_type | Organization |
| is_verified | — |
| owner_login | MagnivOrg |
| public_repos | 25 |
| account_age_days | 1 676 |
Супровід пакетів
100Відмінний
Як обчислюється оцінка
| 25/25 | Опубліковано й доступно — 1 пакет(ів) у pypi |
| 35/35 | Свіжість публікацій — остання публікація 2 дн. тому |
| 20/20 | Історія версій — 190 опублікованих версій |
| 20/20 | Не застарілий — активний, не deprecated і не yanked |
Використані вхідні дані
| packages | promptlayer |
| ecosystems | pypi |
| any_deprecated | ні |
| min_days_since_publish | 2 |
Інженерна якість
Чи наявні базові інженерні практики та документація?
90
Інженерні практики
100Відмінний
Як обчислюється оцінка
| 24/24 | Процеси CI — 3 процес(ів) CI |
| 24/24 | Наявні тести |
| 16/16 | Конфігурація лінтера |
| 9.6/9.6 | Pre-commit-хуки |
| 6.4/6.4 | .editorconfig |
| 20/20 | OpenSSF Scorecard: CI-Tests — 10 out of 10 merged PRs checked by a CI test -- score normalized to 10 |
Використані вхідні дані
| has_ci | так |
| has_tests | так |
| has_editorconfig | так |
| has_linter_config | так |
| has_precommit_config | так |
Документація
75Добрий
Як обчислюється оцінка
| 30/30 | README |
| 0/25 | Каталог документації |
| 15/15 | Сайт документації / домашня сторінка — https://www.promptlayer.com |
| 10/10 | Опис репозиторію |
| 10/10 | Теми — 6 тем |
| 10/10 | Wiki |
Використані вхідні дані
| topics | gpt, machine-learning, openai, prompt, prompt-engineering, python |
| has_wiki | так |
| homepage | https://www.promptlayer.com |
| has_readme | так |
| has_docs_dir | ні |
| has_description | так |
Безпека
Чи міцні видимі практики безпеки й ланцюга постачання, без непослабленої пов’язаності з юрисдикціями високого ризику?
69
Стан безпеки
61Помірний
Як обчислюється оцінка
| 7.5/7.5 | Binary-Artifacts — no binaries found in the repo |
| 3.8/7.5 | Branch-Protection — branch protection is not maximal on development and all release branches |
| 2.5/2.5 | CI-Tests — 10 out of 10 merged PRs checked by a CI test -- score normalized to 10 |
| 0/2.5 | CII-Best-Practices — no effort to earn an OpenSSF best practices badge detected |
| 7.5/7.5 | Code-Review — all changesets reviewed |
| 2.5/2.5 | Contributors — project has 4 contributing companies or organizations |
| 10/10 | Dangerous-Workflow — no dangerous workflow patterns detected |
| 7.5/7.5 | Dependency-Update-Tool — update tool detected |
| 0/5 | Fuzzing — project is not fuzzed |
| 2.5/2.5 | Ліцензія — license file detected |
| 7.5/7.5 | Maintained — 28 commit(s) and 0 issue activity found in the last 90 days -- score normalized to 10 |
| 0/5 | Packaging — немає даних |
| 0/5 | Pinned-Dependencies — dependency not pinned by hash detected -- score normalized to 0 |
| 5/5 | SAST — SAST tool is run on all commits |
| 0/5 | Security-Policy — security policy file not detected |
| 0/7.5 | Signed-Releases — немає даних |
| 0/7.5 | Token-Permissions — detected GitHub workflow tokens with excessive permissions |
| 0/7.5 | Vulnerabilities — 77 existing vulnerabilities detected |
Використані вхідні дані
| source | openssf_scorecard |
| checks_evaluated | 16 |
| scorecard_version | v5.5.0 |
| checks_inconclusive | 2 |
| scorecard_aggregate | 6,1 |
Виключено з оцінювання (немає даних або не застосовно): packaging, signed_releases. Залишкові ваги перенормовано.
Сповіщення про залежності
100Відмінний
Як обчислюється оцінка
| 35/35 | Прямі залежності без відомих сповіщень — жодна пряма залежність не має відомих сповіщень |
| 25/25 | Непрямі залежності без відомих сповіщень — жодна непряма залежність не має відомих сповіщень |
| 0/40 | Немає задавнених сповіщень — жодне сповіщення не має дати публікації |
Використані вхідні дані
| source | osv |
| advisories | 0 |
| affected_packages | 0 |
| assessed_packages | 37 |
| unassessed_packages | 0 |
| affected_by_severity | none |
| direct_affected_packages | 0 |
Виключено з оцінювання (немає даних або не застосовно): Немає задавнених сповіщень. Залишкові ваги перенормовано. Звірено з runtime-замиканням залежностей pypi:promptlayer@1.5.1 — тим, що тягне за собою встановлення опублікованого пакета, — 37 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.
56
Контекст і настанови для агентів
36У зоні ризику
Як обчислюється оцінка
| 0/45 | Інструкції для агентів — немає CLAUDE.md / AGENTS.md / правил редактора |
| 0/15 | Машиночитана документація (llms.txt) |
| 36.3/40 | Читабельна історія комітів — намір зазначено у 64 з 94 людських комітів (структурований заголовок або пояснювальний текст) |
Використані вхідні дані
| has_llms_txt | ні |
| legible_history_share | 0,681 |
| agent_instruction_files | — |
| agent_instruction_max_bytes | — |
Як обчислюється оцінка
| 18/18 | Розгортання однією командою — Makefile |
| 22/22 | Автоматизовані тести |
| 11/11 | Конфігурація лінтера / форматера |
| 0/11 | Статична перевірка типів |
| 10/10 | Відтворюване середовище — devcontainer, lockfile |
| 10/10 | Підтверджена практика роботи з агентами — 12 з останніх 100 комітів створено агентом або з його зазначенням |
| 0/8 | Автоматизоване супроводження — автоматичних оновлень залежностей не виявлено |
| 0/10 | OpenSSF Scorecard: Pinned-Dependencies — dependency not pinned by hash detected -- score normalized to 0 |
Використані вхідні дані
| has_nix | ні |
| has_tests | так |
| lockfiles | poetry.lock, uv.lock |
| has_dockerfile | ні |
| typed_language | ні |
| bootstrap_files | Makefile |
| has_devcontainer | так |
| has_linter_config | так |
| typecheck_configs | — |
| agent_commit_share | 0,12 |
| toolchain_manifests | — |
| dependency_bot_commit_share | 0 |
Читабельність коду для моделей
54Помірний
Як обчислюється оцінка
| 0/45 | Типізований код — Python без конфігурації перевірки типів |
| 54/55 | Керовані розміри файлів — 2/114 файлів вихідного коду понад 60 КБ |
Використані вхідні дані
| primary_language | Python |
| largest_source_bytes | 98 660 |
| source_files_sampled | 114 |
| oversized_source_files | 2 |
Ключові факти
780зірок GitHub
25контриб'юторів
103комітів за останні 12 місяців
2днів від останнього пушу
24релізів
2бас-фактор
15відкритих 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 ★ / 92 ⇿
0Зірки
92Форки
21Релізи
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.
Мажорні 0Мінорні 4Патчі 17
Кожна точка охоплює 4 днів.
OpenSSF Scorecard 6.1 / 10
6.1сукупно
Незалежна, не прив'язана до інструментів оцінка безпеки від відкритого проєкту OpenSSF Scorecard. Кожна перевірка винагороджує практику безпеки, а не інструмент конкретного постачальника. Перевірки, які Scorecard не зміг визначити, позначено н/д і виключено з оцінки безпеки (вони ніколи не зараховуються як нуль).
| 10 | Binary-Artifacts | no binaries found in the repo |
| 5 | Branch-Protection | branch protection is not maximal on development and all release branches |
| 10 | CI-Tests | 10 out of 10 merged PRs checked by a CI test -- score normalized to 10 |
| 0 | CII-Best-Practices | no effort to earn an OpenSSF best practices badge detected |
| 10 | Code-Review | all changesets reviewed |
| 10 | Contributors | project has 4 contributing companies or organizations |
| 10 | Dangerous-Workflow | no dangerous workflow patterns detected |
| 10 | Dependency-Update-Tool | update tool detected |
| 0 | Fuzzing | project is not fuzzed |
| 10 | License | license file detected |
| 10 | Maintained | 28 commit(s) and 0 issue activity found in the last 90 days -- score normalized to 10 |
| н/д | Packaging | packaging workflow not detected |
| 0 | Pinned-Dependencies | dependency not pinned by hash detected -- score normalized to 0 |
| 10 | SAST | SAST tool is run on all commits |
| 0 | Security-Policy | security policy file not detected |
| н/д | Signed-Releases | no releases found |
| 0 | Token-Permissions | detected GitHub workflow tokens with excessive permissions |
| 0 | Vulnerabilities | 77 existing vulnerabilities detected |
Прямі залежності 15
| Реєстр | Пакет | Обмеження версії | Маніфест |
|---|---|---|---|
| PyPI | requests | ^2.31.0 | pyproject.toml |
| PyPI | opentelemetry-api | ^1.26.0 | pyproject.toml |
| PyPI | opentelemetry-sdk | ^1.26.0 | pyproject.toml |
| PyPI | opentelemetry-exporter-otlp-proto-http | ^1.26.0 | pyproject.toml |
| PyPI | aiohttp | ^3.10.10 | pyproject.toml |
| PyPI | httpx | ^0.28.1 | pyproject.toml |
| PyPI | nest-asyncio | ^1.6.0 | pyproject.toml |
| PyPI | centrifuge-python | ^0.4.1 | pyproject.toml |
| PyPI | tenacity | ^9.1.2 | pyproject.toml |
| PyPI | cachetools | ^5.0.0 | pyproject.toml |
| PyPI | openai-agents | ^0.3.3 | pyproject.toml |
| PyPI | claude-agent-sdk | >=0.1.45,<1.0.0 | pyproject.toml |
| PyPI | eval-type-backport | ^0.3.1 | pyproject.toml |
| PyPI | jinja2 | ^3.1.6 | pyproject.toml |
| PyPI | rich | >=13.0.0 | pyproject.toml |
Усі залежності 108
Повний розв'язаний набір залежностей із графа залежностей GitHub: 14 прямих і 94 непрямих (транзитивних) пакетів. Транзитивне замикання є повним, коли в репозиторії закомічено lockfile.
| Реєстр | Пакет | Версія | Зв'язок |
|---|---|---|---|
| PyPI | aiohttp | 3.10.10 | пряма |
| PyPI | cachetools | 5.5.2 | пряма |
| PyPI | centrifuge-python | 0.4.1 | пряма |
| PyPI | claude-agent-sdk | 0.1.49 | пряма |
| PyPI | eval-type-backport | 0.3.1 | пряма |
| PyPI | httpx | 0.28.1 | пряма |
| PyPI | jinja2 | 3.1.6 | пряма |
| PyPI | nest-asyncio | 1.6.0 | пряма |
| PyPI | openai-agents | 0.3.3 | пряма |
| PyPI | opentelemetry-api | 1.26.0 | пряма |
| PyPI | opentelemetry-exporter-otlp-proto-http | 1.26.0 | пряма |
| PyPI | opentelemetry-sdk | 1.26.0 | пряма |
| PyPI | requests | 2.31.0 | пряма |
| PyPI | tenacity | 9.1.2 | пряма |
| PyPI | ably | 2.1.1 | непряма |
| PyPI | aioboto3 | 13.4.0 | непряма |
| PyPI | aiobotocore | 2.18.0 | непряма |
| PyPI | aiofiles | 24.1.0 | непряма |
| PyPI | aiohappyeyeballs | 2.4.3 | непряма |
| PyPI | aioitertools | 0.12.0 | непряма |
| PyPI | aiosignal | 1.3.1 | непряма |
| PyPI | annotated-types | 0.7.0 | непряма |
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Сповіщення про залежності 0
Встановлення pypi:promptlayer@1.5.1 тягне 37 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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"headline": "Merge pull request #314 from MagnivOrg/update-readme",
"author_name": "Brandon Bellero",
"author_login": "bb220",
"committed_at": "2026-04-20T17:15:31Z",
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"headline": "Clarify integration module descriptions in README",
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"is_bot": false,
"headline": "Revise optional extras in README",
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"headline": "split out utilities",
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"is_bot": false,
"headline": "update details",
"author_name": "bb220",
"author_login": "bb220",
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"body_truncated": false,
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{
"oid": "73c8dbe0e8634ef05336d2e46c1bdb192060375c",
"body": null,
"is_bot": false,
"headline": "add visual flair",
"author_name": "bb220",
"author_login": "bb220",
"committed_at": "2026-04-17T19:24:30Z",
"body_truncated": false,
"is_coding_agent": false
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{
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"body": null,
"is_bot": false,
"headline": "update readme",
"author_name": "bb220",
"author_login": "bb220",
"committed_at": "2026-04-17T19:18:42Z",
"body_truncated": false,
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{
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"body": null,
"is_bot": false,
"headline": "update readme",
"author_name": "bb220",
"author_login": "bb220",
"committed_at": "2026-04-17T19:14:58Z",
"body_truncated": false,
"is_coding_agent": false
},
{
"oid": "c3c823b0dfd60a91537218b979e3e18a9e3dfbde",
"body": null,
"is_bot": false,
"headline": "Fix for Skills (#313)",
"author_name": "Vlad Vasilenko",
"author_login": "T3XRD",
"committed_at": "2026-04-17T15:19:33Z",
"body_truncated": false,
"is_coding_agent": false
},
{
"oid": "2b80d61830d4cd3efa33d5344c98d5e6aae1c83a",
"body": null,
"is_bot": false,
"headline": "Cache invalidate (#312)",
"author_name": "Pasha Kononov",
"author_login": "super-jaba",
"committed_at": "2026-04-13T14:28:38Z",
"body_truncated": false,
"is_coding_agent": false
},
{
"oid": "12d9ccbbaf26132b0ed4c453769101b5fd193c28",
"body": null,
"is_bot": false,
"headline": "Add Skill Collections functionality to SDK (#311)",
"author_name": "Vlad Vasilenko",
"author_login": "T3XRD",
"committed_at": "2026-04-08T15:57:52Z",
"body_truncated": false,
"is_coding_agent": false
},
{
"oid": "b796cad4fa6e02881f922ec0bb6cc24e83df694b",
"body": "## Summary\n- Introduced a new `PromptTemplateCache` class for thread-safe in-memory\ncaching of prompt templates with TTL support.\n- Updated `TemplateManager` and `AsyncTemplateManager` to utilize the\ncaching mechanism, improving performance by reducing API calls.\n- Added a `cache_ttl_seconds` parame\n[…]\n[ ] Verified caching behavior with various prompt requests.\n- [ ] Ensured backward compatibility with existing functionality.\n- [ ] Ran unit tests to confirm no regressions in template fetching\nlogic.",
"is_bot": false,
"headline": "SDK cache (#310)",
"author_name": "Pasha Kononov",
"author_login": "super-jaba",
"committed_at": "2026-04-01T15:32:53Z",
"body_truncated": true,
"is_coding_agent": false
},
{
"oid": "707f5526e2974d3745220c28fb56f615f20cf876",
"body": "## Summary\n- Vendors latest Claude Code trace plugin which rewrites shell+CLI logic\n(`jq`, `uuidgen`, `curl`) into a pure Python `hooks/py/` package,\nremoving external CLI dependencies that caused DX friction for SDK users\n- Updates `_REQUIRED_VENDOR_FILES` in `config.py`, vendor script, and\ntests to match new plugin structure\n- Bumps SDK version to 1.2.3\n\n## Test plan\n- [x] `make vendor-claude-agents-plugin` succeeds\n- [x] `make lint` passes\n- [x] `test_claude_agents_config.py` — 11/11 pass",
"is_bot": false,
"headline": "Bump claude plugin: replace jq/uuidgen/curl with Python (#307)",
"author_name": "Rohan Mishra",
"author_login": "adagradschool",
"committed_at": "2026-03-23T21:19:17Z",
"body_truncated": false,
"is_coding_agent": false
},
{
"oid": "cbf7647524b1f77d2f0c05007869d9c5c4696566",
"body": "…prompt\n\nfix: remove duplicate api_key arg in sync prompt() call",
"is_bot": false,
"headline": "Merge pull request #308 from MagnivOrg/fix/duplicate-api-key-in-sync-…",
"author_name": "Jonathan Pedoeem",
"author_login": "Jped",
"committed_at": "2026-03-23T21:10:12Z",
"body_truncated": false,
"is_coding_agent": false
},
{
"oid": "8baa42400916309668ac1f1120bf193223129ccd",
"body": "The sync prompt() function in track/track.py was passing api_key twice\nto promptlayer_track_prompt(), causing version and label to shift into\nwrong positions. The async aprompt() was already correct.\n\nBumps version to 1.2.3.",
"is_bot": false,
"headline": "fix: remove duplicate api_key arg in sync prompt() call",
"author_name": "NoamBenS",
"author_login": "NoamBenS",
"committed_at": "2026-03-23T21:02:46Z",
"body_truncated": false,
"is_coding_agent": false
},
{
"oid": "abcb9939059afad570d4978c9b0046ef42449857",
"body": null,
"is_bot": false,
"headline": "Bump version to 1.2.2 (#306)",
"author_name": "Rohan Mishra",
"author_login": "adagradschool",
"committed_at": "2026-03-19T22:37:45Z",
"body_truncated": false,
"is_coding_agent": false
},
{
"oid": "d32a08f9cf4e65c9bf926ba398f6090ff6cacfab",
"body": "## Summary\n- Vendor latest `promptlayer-claude-plugins`\n(MagnivOrg/promptlayer-claude-plugins#6)\n- Renames `$end` → `$end_time` jq variable in `build_span_json` — `$end`\nis reserved in jq 1.6 (Debian bookworm), causing spans to silently fail\n- Bump version to 1.2.1 (`pyproject.toml` + `__init__.py`)\n[…]\nenerated with [Claude Code](https://claude.com/claude-code)\n\nCo-authored-by: adagradschool <adagradschool@users.noreply.github.com>\nCo-authored-by: Claude Opus 4.6 (1M context) <noreply@anthropic.com>",
"is_bot": false,
"headline": "Fix jq 1.6 compat in vendored Claude plugin, bump to 1.2.1 (#305)",
"author_name": "Rohan Mishra",
"author_login": "adagradschool",
"committed_at": "2026-03-19T22:29:10Z",
"body_truncated": true,
"is_coding_agent": true
},
{
"oid": "9ecb445bf89d938e5bf410fb3103cb3240c3f9f6",
"body": "Fix async stream crash: move stream check before model_dump",
"is_bot": false,
"headline": "Merge pull request #304 from MagnivOrg/fix/async-stream-model-dump",
"author_name": "Jonathan Pedoeem",
"author_login": "Jped",
"committed_at": "2026-03-19T21:58:29Z",
"body_truncated": false,
"is_coding_agent": false
},
{
"oid": "71409ad0185d3b7f117fd4bb4e763d3bbf1dd1af",
"body": "Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>",
"is_bot": false,
"headline": "Bump __version__ in __init__.py to 1.2.1",
"author_name": "Jonathan Pedoeem",
"author_login": "Jped",
"committed_at": "2026-03-19T21:56:48Z",
"body_truncated": false,
"is_coding_agent": true
},
{
"oid": "4748c1f52ea92f47eee06d74499c4f1715803c50",
"body": "In AsyncPromptLayer._run_internal, response.model_dump() was called\nbefore checking if stream=True. When streaming, the LLM returns an\nAsyncStream object which may not have model_dump, causing:\n AttributeError: 'AsyncStream' object has no attribute 'model_dump'\n\nThe sync version already had the cor\n[…]\n match: check stream first, return early with the raw\nstream, and only serialize for non-stream responses.\n\nBump version to 1.2.1.\n\nCo-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>",
"is_bot": false,
"headline": "Fix async stream crash: move stream check before model_dump (#304)",
"author_name": "Jonathan Pedoeem",
"author_login": "Jped",
"committed_at": "2026-03-19T21:56:06Z",
"body_truncated": true,
"is_coding_agent": true
},
{
"oid": "3648d01ba5651cebec7d7208612cc854fcc84ede",
"body": "## Summary\n- add a new `promptlayer.integrations.claude_agents` integration with\n`get_claude_config()` and typed config objects\n- vendor the PromptLayer Claude plugin into the package and add a\nmaintainer vendoring script plus Make target\n- add packaging/test coverage for the optional `claude-agents\n[…]\n of `get_claude_config()`\n- Verified E2E locally\n\n---------\n\nCo-authored-by: adagradschool <adagradschool@users.noreply.github.com>\nCo-authored-by: Claude Opus 4.6 (1M context) <noreply@anthropic.com>",
"is_bot": false,
"headline": "Add Claude Agents integration (#303)",
"author_name": "Rohan Mishra",
"author_login": "adagradschool",
"committed_at": "2026-03-19T13:08:08Z",
"body_truncated": true,
"is_coding_agent": true
},
{
"oid": "c5dccaeb6ef4cebad02866a5f095bff109860016",
"body": "## Summary\n\nAdd OpenAI Agents tracing support by translating Agents traces into OTLP\nspans for PromptLayer ingestion.\n\n## What changed\n\n- add `promptlayer.integrations.openai_agents`\n- implement an OpenAI Agents `TracingProcessor` that:\n - creates a synthetic root span per Agents trace\n - maps Age\n[…]\nbulk` tracing path unchanged\n- bump the package version to `1.1.1`\n- Updated `ruff` and `readme` to support `3.9+`\n\n## Validation\n\n- `ruff format .`\n- `ruff check .`\n- `pytest -q`\n\nResult: `93 passed`",
"is_bot": false,
"headline": "Add OpenAI Agents OTLP tracing integration (#302)",
"author_name": "Rohan Mishra",
"author_login": "adagradschool",
"committed_at": "2026-03-17T16:38:19Z",
"body_truncated": true,
"is_coding_agent": false
},
{
"oid": "d3b5f9f9f0bc3156ad81d9dbe9e9d7495dc7b367",
"body": "…blueprint\n\nAdd streaming blueprint support for built-in tools across multiple providers (Google, Anthropic, OpenAI)",
"is_bot": false,
"headline": "Merge pull request #301 from MagnivOrg/usama/builtin-tools-streaming-…",
"author_name": "Usama Anser",
"author_login": "UsamaAnser1518",
"committed_at": "2026-03-16T21:44:41Z",
"body_truncated": false,
"is_coding_agent": false
},
{
"oid": "6fb380481608117a114f273f3fa6e7cc2a23fc64",
"body": null,
"is_bot": false,
"headline": "fix: Bumped SDK version and resolved feedback",
"author_name": "Usama Anser",
"author_login": "UsamaAnser1518",
"committed_at": "2026-03-16T20:53:07Z",
"body_truncated": false,
"is_coding_agent": false
},
{
"oid": "6ae8a4d8623ebed32637d7f014e07b0a1b5cde4f",
"body": null,
"is_bot": false,
"headline": "fix: Resolve PR feedback and comments",
"author_name": "Usama Anser",
"author_login": "UsamaAnser1518",
"committed_at": "2026-03-16T19:28:32Z",
"body_truncated": false,
"is_coding_agent": false
},
{
"oid": "93330c994cd23fd670a0e0e662212c7f13ddb6dc",
"body": null,
"is_bot": false,
"headline": "fix: Fix pre-commit formatting issues",
"author_name": "Usama Anser",
"author_login": "UsamaAnser1518",
"committed_at": "2026-03-16T17:11:59Z",
"body_truncated": false,
"is_coding_agent": false
},
{
"oid": "0ac62fe64039e096d7d774c03d4040c029f623e1",
"body": null,
"is_bot": false,
"headline": "fix: Linter formatting fix",
"author_name": "Usama Anser",
"author_login": "UsamaAnser1518",
"committed_at": "2026-03-16T17:03:11Z",
"body_truncated": false,
"is_coding_agent": false
},
{
"oid": "d35cec528832dd5a443be253061eebfbb42c2c14",
"body": "…ple providers (Google, Anthropic, OpenAI)\n\n - Map OpenAI Responses API tools: shell, apply-patch, MCP, image generation, code interpreter, web search\n - Map Anthropic tools: web search with citations, bash, text editor\n - Map Google tools: code execution, image output, URL context, file search, Maps search\n - Add OpenAI Images API streaming support\n - Add type definitions for all new content types\n - Provider metadata only includes fields actually present in the raw response",
"is_bot": false,
"headline": "feat: Add streaming blueprint support for built-in tools across multi…",
"author_name": "Usama Anser",
"author_login": "UsamaAnser1518",
"committed_at": "2026-03-16T16:56:01Z",
"body_truncated": false,
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{
"oid": "aef13166e40bbca5d475363f5dae0450634b2e89",
"body": "## Summary\n- When fetching a prompt template (via `TemplateManager.get()` or\n`AsyncTemplateManager.get()`), automatically set `promptlayer.prompt.*`\nattributes as baggage on the OpenTelemetry span\n- Attributes include `name`, `id`, `version`, and `label`\n- This enables OTLP-based trace exporters to \n[…]\ntribute\ninjection, no-op on non-recording spans, and missing fields\n\n## Test plan\n- [x] Unit tests for `set_prompt_span_attributes` (4 tests, all passing)\n- [x] Full test suite passes (no regressions)",
"is_bot": false,
"headline": "feat: inject prompt template attributes onto OTEL spans (#300)",
"author_name": "Rohan Mishra",
"author_login": "adagradschool",
"committed_at": "2026-03-05T15:34:00Z",
"body_truncated": true,
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{
"oid": "fb5635bdfbeed4b967419693454a205d0fe077bd",
"body": "## Summary\n\nWhen `.run()` throws on an LLM call, the SDK now catches the exception,\nlogs it to PromptLayer with `status=ERROR`, `error_type`, and\n`error_message`, then re-raises. Also adds these fields to\n`log_request()` for manual callers. Error categorization is duck-typed —\nno provider imports in\n[…]\n Generated with [Claude Code](https://claude.com/claude-code)\n\n---------\n\nCo-authored-by: adagradschool <adagradschool@users.noreply.github.com>\nCo-authored-by: Claude Opus 4.6 <noreply@anthropic.com>",
"is_bot": false,
"headline": "feat: Log failed LLM calls to PromptLayer before re-raising (#296)",
"author_name": "Rohan Mishra",
"author_login": "adagradschool",
"committed_at": "2026-02-24T15:27:14Z",
"body_truncated": true,
"is_coding_agent": true
},
{
"oid": "c9ecfe6a5113c7566c75f286951fc5eeb88a21e4",
"body": "- Added tests for workflow timeout\n- Version bump",
"is_bot": false,
"headline": "Added test for workflow-timeout (#293)",
"author_name": "Hasaan Majeed",
"author_login": "hasaan21",
"committed_at": "2026-02-23T22:10:12Z",
"body_truncated": false,
"is_coding_agent": false
},
{
"oid": "1dd278f2f415ff03072e34a93615ae35df8aa57c",
"body": "I need to be able to add a timeout for my workflow execution. I think\nthat it is a good idea to provide this feature in the library.\n\nThe PR Introduces an optional `timeout` parameter for workflow\nexecution, allowing operations to exit if they exceed the specified time\nlimit. Updated both synchronou\n[…]\nexecution paths to\nhandle timeouts using `asyncio.wait_for`.\nThe API change is backward compatible, if no timeout is specified the\nbehavior is unchanged.\n\nCo-authored-by: Rémi Pradal <rpradal@ekie.co>",
"is_bot": false,
"headline": "feat: Add support for timeout in workflow execution (#286)",
"author_name": "Rémi Pradal",
"author_login": "rpradal",
"committed_at": "2026-02-09T14:08:56Z",
"body_truncated": true,
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{
"oid": "3203b5d376dde4506b9da87c2c5374298e16fca4",
"body": "Co-authored-by: d3vv3r <ananalabinfowayne@gmail.com>\nCo-authored-by: Claude <noreply@anthropic.com>",
"is_bot": false,
"headline": "Claude/slack add tests url encode q zuzo (#291)",
"author_name": "Jonathan Pedoeem",
"author_login": "Jped",
"committed_at": "2026-01-21T15:29:49Z",
"body_truncated": false,
"is_coding_agent": true
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{
"oid": "c58f9911184dbb704343d3820d42d1f915767662",
"body": "Cache LLM clients to prevent connection pool exhaustion",
"is_bot": false,
"headline": "Merge pull request #289 from MagnivOrg/cache-llm-clients",
"author_name": "Jonathan Pedoeem",
"author_login": "Jped",
"committed_at": "2026-01-15T16:04:50Z",
"body_truncated": false,
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{
"oid": "ab3c25a487788a2eed682034c04feef339efbb64",
"body": "Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>",
"is_bot": false,
"headline": "Update poetry.lock with cachetools",
"author_name": "Jonathan Pedoeem",
"author_login": "Jped",
"committed_at": "2026-01-15T15:52:09Z",
"body_truncated": false,
"is_coding_agent": true
},
{
"oid": "9f4daa34e6fd70d0358439904e579ac3fae7ab4c",
"body": "Switch from unbounded dict to cachetools.LRUCache with maxsize=100\nto prevent memory growth in long-running systems.\n\nCo-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>",
"is_bot": false,
"headline": "Use LRUCache for bounded client caching",
"author_name": "Jonathan Pedoeem",
"author_login": "Jped",
"committed_at": "2026-01-15T15:50:29Z",
"body_truncated": false,
"is_coding_agent": true
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"oid": "b1b765cbce5f91fa9d5e18986ec86222808c3965",
"body": "Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>",
"is_bot": false,
"headline": "Bump version to 1.0.81",
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"description": "Are baseline engineering and documentation practices in place?"
},
{
"key": "security",
"band": "moderate",
"name": "Security",
"value": 69,
"weight": 0.16,
"metrics": [
{
"key": "security_posture",
"band": "moderate",
"name": "Security posture",
"note": "Excluded from scoring (no data or not applicable): Packaging, Signed-Releases. Remaining weights renormalized.",
"notes": [
{
"code": "excluded_no_data",
"params": {
"components": [
"packaging",
"signed_releases"
]
}
},
{
"code": "weights_renormalized",
"params": {}
}
],
"value": 61,
"inputs": {
"source": "openssf_scorecard",
"checks_evaluated": 16,
"scorecard_version": "v5.5.0",
"checks_inconclusive": 2,
"scorecard_aggregate": 6.1
},
"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": "branch protection is not maximal on development and all release branches",
"points": 3.8,
"status": "partial",
"details": [],
"max_points": 7.5
},
{
"key": "ci_tests",
"name": "CI-Tests",
"detail": "10 out of 10 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 4 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": "28 commit(s) and 0 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 run on all commits",
"points": 5,
"status": "met",
"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": "no releases found",
"points": 0,
"status": "excluded",
"details": [
{
"code": "no_data",
"params": {}
}
],
"max_points": 7.5
},
{
"key": "token_permissions",
"name": "Token-Permissions",
"detail": "detected GitHub workflow tokens with excessive permissions",
"points": 0,
"status": "missed",
"details": [],
"max_points": 7.5
},
{
"key": "vulnerabilities",
"name": "Vulnerabilities",
"detail": "77 existing vulnerabilities detected",
"points": 0,
"status": "missed",
"details": [],
"max_points": 7.5
}
]
},
{
"key": "dependency_advisories",
"band": "excellent",
"name": "Dependency advisories",
"note": "Excluded from scoring (no data or not applicable): No advisories left outstanding. Remaining weights renormalized. Matched the pypi:promptlayer@1.5.1 runtime dependency closure — what installing the published package pulls in — 37 packages. Reachability is not analyzed.",
"notes": [
{
"code": "excluded_no_data",
"params": {
"components": [
"no_advisories_left_outstanding"
]
}
},
{
"code": "weights_renormalized",
"params": {}
},
{
"code": "advisories_scope_published",
"params": {
"package": "pypi:promptlayer@1.5.1",
"assessed": 37
}
},
{
"code": "advisories_reachability",
"params": {}
}
],
"value": 100,
"inputs": {
"source": "osv",
"advisories": 0,
"affected_packages": 0,
"assessed_packages": 37,
"unassessed_packages": 0,
"affected_by_severity": "none",
"direct_affected_packages": 0
},
"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",
"details": [
{
"code": "no_direct_advisories",
"params": {}
}
],
"max_points": 35
},
{
"key": "indirect_dependencies_free_of_known_advisories",
"name": "Indirect dependencies free of known advisories",
"detail": "no indirect dependency carries a known advisory",
"points": 25,
"status": "met",
"details": [
{
"code": "no_indirect_advisories",
"params": {}
}
],
"max_points": 25
},
{
"key": "no_advisories_left_outstanding",
"name": "No advisories left outstanding",
"detail": "no advisory carries a publication date",
"points": 0,
"status": "excluded",
"details": [
{
"code": "advisories_no_publication_date",
"params": {}
}
],
"max_points": 40
}
]
},
{
"key": "malicious_dependencies",
"band": "excellent",
"name": "Malicious dependencies",
"note": null,
"notes": [],
"value": 100,
"inputs": {
"source": "osv",
"meaning": "reported as a malicious package by the OpenSSF corpus; the remedy is removal or moving off the compromised name, never an upgrade of the same artifact. Versions the registry has since pulled are listed but not scored",
"packages": [],
"red_flag": false,
"assessed_packages": 37,
"malicious_packages": 0,
"direct_malicious_packages": 0,
"withdrawn_malicious_packages": 0,
"installable_malicious_packages": 0
},
"components": [
{
"key": "no_dependency_reported_as_a_malicious_package",
"name": "No dependency reported as a malicious package",
"detail": "no dependency is reported as a malicious package",
"points": 100,
"status": "met",
"details": [
{
"code": "no_malicious_dependencies",
"params": {}
}
],
"max_points": 100
}
]
},
{
"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": 4
},
"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": 56,
"weight": 0,
"metrics": [
{
"key": "ai_agent_context",
"band": "at_risk",
"name": "Agent context & guidance",
"note": null,
"notes": [],
"value": 36,
"inputs": {
"has_llms_txt": false,
"legible_history_share": 0.681,
"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": "64 of 94 human commits state their intent (structured subject or explanatory body)",
"points": 36.3,
"status": "partial",
"details": [
{
"code": "legible_history",
"params": {
"legible": 64,
"sampled": 94
}
}
],
"max_points": 40
}
]
},
{
"key": "ai_verify_loop",
"band": "good",
"name": "Verify loop (build / test / typecheck)",
"note": null,
"notes": [],
"value": 71,
"inputs": {
"has_nix": false,
"has_tests": true,
"lockfiles": [
"poetry.lock",
"uv.lock"
],
"has_dockerfile": false,
"typed_language": false,
"bootstrap_files": [
"Makefile"
],
"has_devcontainer": true,
"has_linter_config": true,
"typecheck_configs": [],
"agent_commit_share": 0.12,
"toolchain_manifests": [],
"dependency_bot_commit_share": 0
},
"components": [
{
"key": "one_command_bootstrap",
"name": "One-command bootstrap",
"detail": "Makefile",
"points": 18,
"status": "met",
"details": [
{
"code": "file_list",
"params": {
"files": "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": null,
"points": 0,
"status": "missed",
"details": [],
"max_points": 11
},
{
"key": "reproducible_environment",
"name": "Reproducible environment",
"detail": "devcontainer, lockfile",
"points": 10,
"status": "met",
"details": [
{
"code": "file_list",
"params": {
"files": "devcontainer, lockfile"
}
}
],
"max_points": 10
},
{
"key": "demonstrated_agent_practice",
"name": "Demonstrated agent practice",
"detail": "12 of the last 100 commits agent-authored or agent-credited",
"points": 10,
"status": "met",
"details": [
{
"code": "agent_authored_commits",
"params": {
"count": 12,
"sampled": 100
}
}
],
"max_points": 10
},
{
"key": "automated_maintenance",
"name": "Automated maintenance",
"detail": "no automated dependency updates observed",
"points": 0,
"status": "missed",
"details": [
{
"code": "no_dependency_automation",
"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": "moderate",
"name": "Code legibility for models",
"note": null,
"notes": [],
"value": 54,
"inputs": {
"primary_language": "Python",
"largest_source_bytes": 98660,
"source_files_sampled": 114,
"oversized_source_files": 2
},
"components": [
{
"key": "type_checkable_code",
"name": "Type-checkable code",
"detail": "Python without a type-check config",
"points": 0,
"status": "missed",
"details": [
{
"code": "no_typecheck_config_language",
"params": {
"language": "Python"
}
}
],
"max_points": 45
},
{
"key": "manageable_file_sizes",
"name": "Manageable file sizes",
"detail": "2/114 source files over 60KB",
"points": 54,
"status": "partial",
"details": [
{
"code": "oversized_source_files",
"params": {
"kb": 60,
"sampled": 114,
"oversized": 2
}
}
],
"max_points": 55
}
]
}
],
"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": "2026-07-25T06:59:07.453479Z",
"schema_version": "0.27.0",
"badge_url": "https://raw.githubusercontent.com/inspect-software/badges/main/v1/m/MagnivOrg/prompt-layer-library.svg",
"full_name": "MagnivOrg/prompt-layer-library",
"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 статистика — PyPI.