Registro público
Informe de salud del softwareesquema 0.27.0 · métricas 1.13.0 · 2026-07-28 14:38 UTC

smarie / python-pytest-cases

Separate test code from test cases in pytest.

PythonBSD-3-Clause★ 376 estrellas⑂ 41 forksdesde jun 2018Ver en GitHub ↗

smarie/python-pytest-cases tiene un índice de salud de 60 sobre 100, lo que lo sitúa en la banda Moderado. Su puntuación más alta es Engineering Quality (81/100) y la más baja, Vitality (44/100). Se actualizó por última vez hace 147 días. Una sola persona concentra la mayor parte del trabajo reciente.

60
global / 100
Moderado

Índice de salud del software

Las métricas se agrupan en categorías ponderadas sobre una escala de 1 a 100. El resultado global parte de su media; cuando la evidencia pública activa la Política de Jurisdicciones de Alto Riesgo, la calificación se ajusta y recibe el límite 49 (En riesgo). Preparación para IA queda fuera.

60
Excelente85-100Ejemplar; cumple prácticamente todos los criterios evaluados
Bueno70-84Saludable; carencias menores
Moderado50-69Aceptable con carencias notables; se recomienda revisión
En riesgo30-49Debilidades significativas; su adopción exige cautela
Crítico1-29Problemas graves (proyecto abandonado, un solo mantenedor, sin higiene)
VitalidadComunidad yAdopciónSostenibilidady GobernanzaCalidad deIngenieríaSeguridadPreparaciónpara IA

Perfil de puntuación

Cada eje es una categoría. La forma importa más que la media: un proyecto sano llena toda la figura, mientras que un perfil de picos y cráteres indica que la fortaleza en una dimensión enmascara el riesgo en otra.

Titularidad

Sylvain MariéCuenta personal
135 seguidores90 repositorios públicosdesde ene 2013Schneider Electric

Este repositorio pertenece a una cuenta personal. Un proyecto con un único propietario conlleva más riesgo de continuidad que uno respaldado por una organización.

Ecosistemas de paquetes

RegistroPaqueteVersiónDescargas / mesVersionesÚltima publicaciónEtiquetas
PyPIpytest-cases3.10.1908.070124hace 147 díaspytesttestcasetestcasetest-casedecoratorparametrizeparameterdatadatasetfileseparateconcernslazyfixtureunion

Métricas por categoría

Vitalidad

¿Está vivo el proyecto: se escribe código y se publican versiones?

44En riesgo · 22% del índice global
Cómo se puntúa
9.9/36Recencia de push — último push hace 147 días
1.4/36Cadencia de commits — 2/52 semanas con commits
7.6/18Volumen de commits — 6 commits en el último año
0/10OpenSSF Scorecard: Maintained — 0 commit(s) and 1 issue activity found in the last 90 days -- score normalized to 0
Datos de entrada utilizados
commits_last_year6
human_commit_share1
days_since_last_push147
active_weeks_last_year2
Cómo se puntúa
27/27Publica versiones — 100 versiones publicadas
27/36Recencia de las versiones — última versión hace 147 días
19.8/27Cadencia de publicación — una versión cada ~93,7 días
0/10OpenSSF Scorecard: Signed-Releases — sin datos
Datos de entrada utilizados
releases_count100
latest_release_tag3.10.1
releases_from_tagsno
days_since_latest_release147
mean_days_between_releases93,7
Excluidos de la puntuación (sin datos o no aplicable): OpenSSF Scorecard: Signed-Releases. Los pesos restantes se han renormalizado.

Comunidad y Adopción

¿Tiene el proyecto usuarios, descargas, atención y unas condiciones acogedoras para quienes contribuyen?

65Moderado · 18% del índice global
Cómo se puntúa
41.8/60Estrellas — 376 estrellas
13.4/25Forks — 41 forks
2.7/15Observadores — 4 observadores
Datos de entrada utilizados
forks41
stars376
watchers4
growth_stateunverified
growth_factor_pct100
growth_unverified_reasonno_history
Cómo se puntúa
22.5/22.5README
22.5/22.5Licencia — licencia reconocida (BSD-3-Clause)
0/18Guía CONTRIBUTING
0/13.5Código de conducta
0/7.2Plantilla de issues
0/6.3Plantilla de PR
Datos de entrada utilizados
has_readme
has_license
has_contributingno
has_issue_templateno
has_code_of_conductno
has_pull_request_templateno
Cómo se puntúa
79.4/80Descargas mensuales — 908.070 descargas/mes en pypi
0/20Dependientes en el registro — no lo informa este ecosistema
Datos de entrada utilizados
packagespytest-cases
dependents
ecosystemspypi
total_downloads
monthly_downloads908.070
Excluidos de la puntuación (sin datos o no aplicable): Dependientes en el registro. Los pesos restantes se han renormalizado.

Sostenibilidad y Gobernanza

¿Sobrevivirá el proyecto a sus personas: factor bus, capacidad de respuesta, quién lo respalda y mantenimiento del paquete?

64Moderado · 24% del índice global
Cómo se puntúa
9/54Factor bus — la mitad de los commits recae en 1 contribuyente(s)
5.9/22.5Distribución de commits — el principal contribuyente firma el 74% de los commits
13.5/13.5Amplitud de contribuyentes — 20 contribuyentes
10/10OpenSSF Scorecard: Contributors — project has 4 contributing companies or organizations
Datos de entrada utilizados
bus_factor1
contributors_sampled20
top_contributor_share0,736
Cómo se puntúa
38.4/46.8Resolución de issues — 82% de issues cerradas
27.9/38.3Aceptación de PR — 62/85 PR decididos fusionados
1.5/15OpenSSF Scorecard: Code-Review — Found 3/30 approved changesets -- score normalized to 1
Datos de entrada utilizados
merged_prs62
open_issues52
closed_issues239
issue_closed_ratio0,821
closed_unmerged_prs23
Cómo se puntúa
10/30Respaldo de la propiedad — cuenta personal (usuario)
0/20Dominio verificado — no aplicable a cuentas de usuario
15.3/25Alcance del propietario — 135 seguidores de smarie
25/25Trayectoria — 90 repos públicos, cuenta de ~13 años
Datos de entrada utilizados
followers135
owner_typeUser
is_verified
owner_loginsmarie
public_repos90
account_age_days4946
Excluidos de la puntuación (sin datos o no aplicable): Dominio verificado. Los pesos restantes se han renormalizado.
Cómo se puntúa
25/25Publicado y resoluble — 1 paquete(s) en pypi
35/35Recencia de publicación — última publicación hace 147 días
20/20Historial de versiones — 124 versiones en el registro
20/20No obsoleto — activo, ni obsoleto ni retirado
Datos de entrada utilizados
packagespytest-cases
ecosystemspypi
any_deprecatedno
min_days_since_publish147

Calidad de Ingeniería

¿Existen unas prácticas mínimas de ingeniería y documentación?

81Bueno · 20% del índice global
Cómo se puntúa
24/24Flujos de trabajo de CI — 3 flujo(s) de trabajo
24/24Pruebas presentes
16/16Configuración de linter — .pylintrc
0/9.6Hooks de pre-commit
0/6.4.editorconfig
4/20OpenSSF Scorecard: CI-Tests — 3 out of 11 merged PRs checked by a CI test -- score normalized to 2
Datos de entrada utilizados
has_ci
has_tests
has_editorconfigno
has_linter_config
has_precommit_configno

Documentación

100Excelente
Cómo se puntúa
30/30README
25/25Directorio de documentación
15/15Sitio de documentación / página del proyecto — https://smarie.github.io/python-pytest-cases/
10/10Descripción del repositorio
10/10Topics — 13 topics
10/10Wiki
Datos de entrada utilizados
topicspytest, test, case, testcase, test-case, decorator, parametrize, parameter, data, dataset, file, separate, concerns
has_wiki
homepagehttps://smarie.github.io/python-pytest-cases/
has_readme
has_docs_dir
has_description

Seguridad

¿Son sólidas las prácticas visibles de seguridad y de cadena de suministro, sin exposición jurisdiccional de alto riesgo sin resolver?

47En riesgo · 16% del índice global
Cómo se puntúa
7.5/7.5Binary-Artifacts — no binaries found in the repo
0/7.5Branch-Protection — branch protection not enabled on development/release branches
0.5/2.5CI-Tests — 3 out of 11 merged PRs checked by a CI test -- score normalized to 2
0/2.5CII-Best-Practices — no effort to earn an OpenSSF best practices badge detected
0.8/7.5Code-Review — Found 3/30 approved changesets -- score normalized to 1
2.5/2.5Contributors — project has 4 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
2.5/2.5Licencia — license file detected
0/7.5Maintained — 0 commit(s) and 1 issue activity found in the last 90 days -- score normalized to 0
5/5Packaging — packaging workflow detected
0/5Pinned-Dependencies — dependency not pinned by hash detected -- score normalized to 0
0/5SAST — SAST tool is not run on all commits -- score normalized to 0
0/5Security-Policy — security policy file not detected
0/7.5Signed-Releases — sin datos
0/7.5Token-Permissions — detected GitHub workflow tokens with excessive permissions
4.5/7.5Vulnerabilities — 4 existing vulnerabilities detected
Datos de entrada utilizados
sourceopenssf_scorecard
checks_evaluated17
scorecard_versionv5.5.0
checks_inconclusive1
scorecard_aggregate3,4
Excluidos de la puntuación (sin datos o no aplicable): signed_releases. Los pesos restantes se han renormalizado.
Cómo se puntúa
35/35Dependencias directas libres de avisos conocidos — ninguna dependencia directa tiene un aviso conocido
25/25Dependencias indirectas libres de avisos conocidos — ninguna dependencia indirecta tiene un aviso conocido
0/40Sin avisos pendientes — ningún aviso tiene fecha de publicación
Datos de entrada utilizados
sourceosv
advisories0
affected_packages0
assessed_packages7
unassessed_packages0
affected_by_severitynone
direct_affected_packages0
Excluidos de la puntuación (sin datos o no aplicable): Sin avisos pendientes. Los pesos restantes se han renormalizado. Se cotejó el cierre de dependencias en tiempo de ejecución de pypi:pytest-cases@3.10.1 —lo que arrastra la instalación del paquete publicado—: 7 paquetes. No se analiza la alcanzabilidad.

Preparación para IA

¿Hasta qué punto está el repositorio preparado para desarrollarse y mantenerse con agentes de codificación de IA? Es una insignia independiente y experimental — peso 0,0, de modo que se presenta por separado y no afecta a la puntuación de salud global.

51Moderado · 0% del índice global
Cómo se puntúa
0/45Instrucciones para agentes — sin CLAUDE.md / AGENTS.md / reglas de editor
0/15Documentación legible por máquinas (llms.txt)
20.8/40Historial de commits legible — 39 de 100 commits humanos declaran su intención (asunto estructurado o cuerpo explicativo)
Datos de entrada utilizados
has_llms_txtno
legible_history_share0,39
agent_instruction_files
agent_instruction_max_bytes
Cómo se puntúa
18/18Arranque con un solo comando — noxfile.py
22/22Pruebas automatizadas
11/11Configuración de lint / formato — .pylintrc
11/11Verificación estática de tipos — src/pytest_cases/py.typed
0/10Entorno reproducible
0/10Práctica demostrada con agentes — ningún commit con autoría de agente entre los últimos 100
0/8Mantenimiento automatizado — no se observan actualizaciones automáticas de dependencias
0/10OpenSSF Scorecard: Pinned-Dependencies — dependency not pinned by hash detected -- score normalized to 0
Datos de entrada utilizados
has_nixno
has_tests
lockfiles
has_dockerfileno
typed_languageno
bootstrap_filesnoxfile.py
has_devcontainerno
has_linter_config
typecheck_configssrc/pytest_cases/py.typed
agent_commit_share0
toolchain_manifests
dependency_bot_commit_share0
Cómo se puntúa
27/45Código verificable por tipos — Python con configuración de verificación de tipos (src/pytest_cases/py.typed)
54.2/55Tamaños de archivo manejables — 3/215 archivos fuente de más de 60 KB
Datos de entrada utilizados
primary_languagePython
largest_source_bytes72.561
source_files_sampled215
oversized_source_files3

Datos clave

376estrellas de GitHub
20contribuidores
6commits en los últimos 12 meses
147días desde el último push
100versiones publicadas
1factor bus
52issues abiertas
PyPIecosistemas de paquetes

Advertencias de recopilación de datos

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

Más detalle

Historial de estrellas y forks 0 ★ / 41 ⇿
0Estrellas
41Forks
98Versiones

Cuándo se añadió cada estrella y fork, recopilado de GitHub y agrupado por día. El crecimiento acumulado se sitúa justo encima de las adiciones diarias que lo componen, de modo que ambos se leen en conjunto: la acumulación orgánica sostenida no se parece en nada a un pico abrupto y efímero. Cuando esa diferencia es medible, se informa como autenticidad del crecimiento.

010203040504122019-032022-112026-07
Mayor 2Menor 28Parche 68

Cada punto abarca 7 días.

OpenSSF Scorecard 3.4 / 10
3.4agregado

Evaluación de seguridad independiente y agnóstica en cuanto a herramientas, procedente del proyecto de código abierto OpenSSF Scorecard. Cada comprobación premia una práctica de seguridad, no la herramienta de un proveedor concreto. Las comprobaciones que Scorecard no pudo determinar se marcan como n/d y se excluyen de la puntuación de seguridad (nunca se cuentan como cero).Scorecard v5.5.0 · 2026-07-28 14:38 UTC

10Binary-Artifactsno binaries found in the repo
0Branch-Protectionbranch protection not enabled on development/release branches
2CI-Tests3 out of 11 merged PRs checked by a CI test -- score normalized to 2
0CII-Best-Practicesno effort to earn an OpenSSF best practices badge detected
1Code-ReviewFound 3/30 approved changesets -- score normalized to 1
10Contributorsproject has 4 contributing companies or organizations
10Dangerous-Workflowno dangerous workflow patterns detected
0Dependency-Update-Toolno update tool detected
0Fuzzingproject is not fuzzed
10Licenselicense file detected
0Maintained0 commit(s) and 1 issue activity found in the last 90 days -- score normalized to 0
10Packagingpackaging workflow detected
0Pinned-Dependenciesdependency not pinned by hash detected -- score normalized to 0
0SASTSAST tool is not run on all commits -- score normalized to 0
0Security-Policysecurity policy file not detected
n/dSigned-Releasesno releases found
0Token-Permissionsdetected GitHub workflow tokens with excessive permissions
6Vulnerabilities4 existing vulnerabilities detected
Dependencias directas 4
RegistroPaqueteRestricción de versiónManifiesto
PyPIdecopatchsetup.cfg
PyPImakefun>=1.15.1setup.cfg
PyPIpackagingsetup.cfg
PyPIpytestsetup.cfg
Todas las dependencias 21

Conjunto completo de dependencias resueltas según el grafo de dependencias de GitHub: 0 paquetes directos y 21 indirectos (transitivos). El cierre transitivo es completo cuando el repositorio incluye un lockfile.

RegistroPaqueteVersiónRelación
PyPIflake8indirecta
PyPIflake8-banditindirecta
PyPIflake8-bugbearindirecta
PyPIflake8-copyright0.2.2indirecta
PyPIflake8-docstringsindirecta
PyPIflake8-htmlindirecta
PyPIflake8-printindirecta
PyPIflake8-tidy-importsindirecta
PyPIgenbadgeindirecta
PyPIkeyringindirecta
PyPImccabeindirecta
PyPInamingindirecta
PyPInoxindirecta
PyPIpbrindirecta
PyPIpycodestyleindirecta
PyPIpydocstyleindirecta
PyPIpyflakesindirecta
PyPIsetuptoolsindirecta
PyPIsetuptools-scmindirecta
PyPItomlindirecta
PyPIvirtualenvindirecta
Avisos de dependencias 0

Instalar pypi:pytest-cases@3.10.1 arrastra 7 paquetes, directos y transitivos: 0 tienen avisos conocidos, de los cuales 0 son dependencias directas.

Ningún aviso conocido afecta a las dependencias evaluadas.

Un aviso significa que la versión registrada en el grafo de dependencias cae dentro del rango afectado de un aviso. No se analiza la alcanzabilidad, y el grafo incluye fijaciones de desarrollo y prueba: un hallazgo puede referirse al utillaje y no al software distribuido.

Informe JSON sin procesar legible por máquina
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          "tag": "3.6.12",
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        {
          "tag": "3.6.11",
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          "published_at": "2022-03-21T16:10:29Z"
        },
        {
          "tag": "3.6.10",
          "kind": "patch",
          "published_at": "2022-03-14T09:40:09Z"
        },
        {
          "tag": "3.6.9",
          "kind": "patch",
          "published_at": "2022-02-08T17:37:30Z"
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        {
          "tag": "3.6.8",
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          "tag": "3.6.7",
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          "tag": "3.6.4",
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          "tag": "3.6.3",
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        {
          "tag": "3.5.1",
          "kind": "patch",
          "published_at": "2021-05-18T13:41:20Z"
        },
        {
          "tag": "3.5.0",
          "kind": "minor",
          "published_at": "2021-05-07T09:52:23Z"
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        {
          "tag": "3.4.6",
          "kind": "patch",
          "published_at": "2021-04-12T10:05:16Z"
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        {
          "tag": "3.4.5",
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        {
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          "published_at": "2021-04-07T09:17:10Z"
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        {
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            "inputs": {
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              "monthly_downloads": 908070
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        ],
        "description": "Does the project have users, downloads, attention, and a welcoming setup for contributors?"
      },
      {
        "key": "governance",
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        "name": "Sustainability & Governance",
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        "weight": 0.24,
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                "points": 13.5,
                "status": "met",
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              {
                "key": "openssf_scorecard_contributors",
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            "note": null,
            "notes": [],
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            "inputs": {
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              "closed_issues": 239,
              "issue_closed_ratio": 0.821,
              "closed_unmerged_prs": 23
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              {
                "key": "issue_resolution",
                "name": "Issue resolution",
                "detail": "82% of issues closed",
                "points": 38.4,
                "status": "partial",
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                  {
                    "code": "issues_closed_share",
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                  }
                ],
                "max_points": 46.75
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              {
                "key": "pr_acceptance",
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                "detail": "62/85 decided PRs merged",
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                "max_points": 38.25
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              {
                "key": "openssf_scorecard_code_review",
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                "detail": "Found 3/30 approved changesets -- score normalized to 1",
                "points": 1.5,
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          {
            "key": "stewardship",
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            "note": "Excluded from scoring (no data or not applicable): Verified domain. Remaining weights renormalized.",
            "notes": [
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                "details": [
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                "max_points": 30
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                "max_points": 20
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              {
                "key": "owner_reach",
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                "max_points": 25
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              {
                "key": "track_record",
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                  {
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                "key": "publish_recency",
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                "key": "version_history",
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                "points": 20,
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              },
              {
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              },
              {
                "key": "fuzzing",
                "name": "Fuzzing",
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              {
                "key": "license",
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                "status": "met",
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              },
              {
                "key": "maintained",
                "name": "Maintained",
                "detail": "0 commit(s) and 1 issue activity found in the last 90 days -- score normalized to 0",
                "points": 0,
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              {
                "key": "packaging",
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                "max_points": 5
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              {
                "key": "pinned_dependencies",
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              {
                "key": "sast",
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              {
                "key": "security_policy",
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              {
                "key": "signed_releases",
                "name": "Signed-Releases",
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                "points": 0,
                "status": "excluded",
                "details": [
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                    "params": {}
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                ],
                "max_points": 7.5
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              {
                "key": "token_permissions",
                "name": "Token-Permissions",
                "detail": "detected GitHub workflow tokens with excessive permissions",
                "points": 0,
                "status": "missed",
                "details": [],
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              {
                "key": "vulnerabilities",
                "name": "Vulnerabilities",
                "detail": "4 existing vulnerabilities detected",
                "points": 4.5,
                "status": "partial",
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            ]
          },
          {
            "key": "dependency_advisories",
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            "notes": [
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                "code": "excluded_no_data",
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                "code": "weights_renormalized",
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              {
                "code": "advisories_scope_published",
                "params": {
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              {
                "code": "advisories_reachability",
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            ],
            "value": 100,
            "inputs": {
              "source": "osv",
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            "components": [
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                "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",
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                ],
                "max_points": 35
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              {
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                  }
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              },
              {
                "key": "no_advisories_left_outstanding",
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              "packages": [],
              "red_flag": false,
              "assessed_packages": 7,
              "malicious_packages": 0,
              "direct_malicious_packages": 0,
              "withdrawn_malicious_packages": 0,
              "installable_malicious_packages": 0
            },
            "components": [
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                "key": "no_dependency_reported_as_a_malicious_package",
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                "details": [
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                ],
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              }
            ]
          },
          {
            "key": "high_risk_jurisdiction_exposure",
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            "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",
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              }
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            "value": 100,
            "inputs": {
              "meaning": "self-published location evidence; not nationality or citizenship",
              "red_flag": false,
              "exposures": [],
              "policy_countries": [
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                "Iran",
                "North Korea"
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              "review_only_matches": 0,
              "assessed_self_published_locations": 8
            },
            "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": 51,
        "weight": 0,
        "metrics": [
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            "components": [
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                "key": "agent_instructions",
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                "detail": "no CLAUDE.md / AGENTS.md / editor rules",
                "points": 0,
                "status": "missed",
                "details": [
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                    "code": "no_agent_instructions",
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                "max_points": 45
              },
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                "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",
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                "points": 20.8,
                "status": "partial",
                "details": [
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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",
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            "notes": [],
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            "inputs": {
              "has_nix": false,
              "has_tests": true,
              "lockfiles": [],
              "has_dockerfile": false,
              "typed_language": false,
              "bootstrap_files": [
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              "has_devcontainer": false,
              "has_linter_config": true,
              "typecheck_configs": [
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              "agent_commit_share": 0,
              "toolchain_manifests": [],
              "dependency_bot_commit_share": 0
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            "components": [
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                "max_points": 18
              },
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                "key": "automated_tests",
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                "points": 22,
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                "details": [],
                "max_points": 22
              },
              {
                "key": "lint_format_config",
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                "points": 11,
                "status": "met",
                "details": [
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                ],
                "max_points": 11
              },
              {
                "key": "static_type_checking",
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                "max_points": 11
              },
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                "key": "reproducible_environment",
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                "points": 0,
                "status": "missed",
                "details": [],
                "max_points": 10
              },
              {
                "key": "demonstrated_agent_practice",
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                "detail": "no agent-authored commits among the last 100",
                "points": 0,
                "status": "missed",
                "details": [
                  {
                    "code": "no_agent_authored_commits",
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                  }
                ],
                "max_points": 10
              },
              {
                "key": "automated_maintenance",
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                "detail": "no automated dependency updates observed",
                "points": 0,
                "status": "missed",
                "details": [
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                    "code": "no_dependency_automation",
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                "max_points": 8
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              {
                "key": "openssf_scorecard_pinned_dependencies",
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                "detail": "dependency not pinned by hash detected -- score normalized to 0",
                "points": 0,
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                "max_points": 10
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            ]
          },
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            "key": "ai_code_legibility",
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            "notes": [],
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            "inputs": {
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              "largest_source_bytes": 72561,
              "source_files_sampled": 215,
              "oversized_source_files": 3
            },
            "components": [
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                "key": "type_checkable_code",
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                "status": "partial",
                "details": [
                  {
                    "code": "typecheck_config_language",
                    "params": {
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                      "language": "Python"
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                  }
                ],
                "max_points": 45
              },
              {
                "key": "manageable_file_sizes",
                "name": "Manageable file sizes",
                "detail": "3/215 source files over 60KB",
                "points": 54.2,
                "status": "partial",
                "details": [
                  {
                    "code": "oversized_source_files",
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                      "oversized": 3
                    }
                  }
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                "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": "2026-07-28T14:38:53.723129Z",
  "schema_version": "0.27.0",
  "badge_url": "https://raw.githubusercontent.com/inspect-software/badges/main/v1/s/smarie/python-pytest-cases.svg",
  "full_name": "smarie/python-pytest-cases",
  "license_state": "standard",
  "license_spdx": "BSD-3-Clause"
}

Las puntuaciones son señales, no garantías. Reflejan prácticas públicamente visibles en GitHub; no son una auditoría de código ni una garantía de seguridad.

Los datos ausentes se excluyen y los pesos se renormalizan; nunca se puntúan como cero. La metodología es versionada y abierta: métricas v1.13.0, esquema v0.27.0 — metodología completa · wiki de métricas.

Cómo se sitúa un resultado dentro del registro general: estadísticas agregadasPyPI.