Registro público
Informe de salud del softwareesquema 0.12.0 · métricas 1.13.0 · 2026-07-18 01:34 UTC

UKGovernmentBEIS / inspect_ai

Inspect: A framework for large language model evaluations

PythonMIT★ 2368 estrellas⑂ 609 forksdesde nov 2023Ver en GitHub ↗

UKGovernmentBEIS/inspect_ai tiene un índice de salud de 83 sobre 100, lo que lo sitúa en la banda Bueno. Su puntuación más alta es Vitality (95/100) y la más baja, Security (60/100). Se actualizó por última vez hoy. 2 personas concentran la mayor parte del trabajo reciente.

83
global / 100
Bueno

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.

83
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

Department of Business, Energy and Industrial StrategyOrganización
240 seguidores114 repositorios públicosdesde may 2016

Este repositorio está respaldado por una organización: una custodia compartida y responsable que puede sobrevivir a cualquier mantenedor individual.

Ecosistemas de paquetes

RegistroPaqueteVersiónDescargas / mesVersionesÚltima publicación
PyPIinspect_ai0.3.24810.516.017248hace 0 días

Métricas por categoría

Vitalidad

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

95Excelente · 22% del índice global

Actividad de desarrollo

100Excelente
Cómo se puntúa
36/36Recencia de push — último push hace 0 días
36/36Cadencia de commits — 52/52 semanas con commits
18/18Volumen de commits — 3670 commits en el último año
10/10OpenSSF Scorecard: Maintained — 30 commit(s) and 5 issue activity found in the last 90 days -- score normalized to 10
Datos de entrada utilizados
commits_last_year3670
human_commit_share—
days_since_last_push0
active_weeks_last_year52

Disciplina de publicación

88Excelente
Cómo se puntúa
16.2/27Publica versiones — 99 etiquetas de versión (sin releases de GitHub)
36/36Recencia de las versiones — última versión hace 0 días
27/27Cadencia de publicación — una versión cada ~4,3 días
0/10OpenSSF Scorecard: Signed-Releases — sin datos
Datos de entrada utilizados
releases_count99
latest_release_tag0.3.248
releases_from_tagssí
days_since_latest_release0
mean_days_between_releases4,3
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?

86Excelente · 18% del índice global

Popularidad y adopción

85Excelente
Cómo se puntúa
54.7/60Estrellas — 2368 estrellas
23.2/25Forks — 609 forks
6.7/15Observadores — 17 observadores
Datos de entrada utilizados
forks609
stars2368
watchers17
growth_stateunverified
growth_factor_pct100
growth_unverified_reasonno_history

Salud de la comunidad

77Bueno
Cómo se puntúa
22.5/22.5README
22.5/22.5Licencia — licencia reconocida (MIT)
18/18Guía CONTRIBUTING
0/13.5Código de conducta
0/7.2Plantilla de issues
6.3/6.3Plantilla de PR
Datos de entrada utilizados
has_readmesí
has_licensesí
has_contributingsí
has_issue_templateno
has_code_of_conductno
has_pull_request_templatesí

Adopción en el ecosistema (descargas)

100Excelente
Cómo se puntúa
80/80Descargas mensuales — 10.516.017 descargas/mes en pypi
0/20Dependientes en el registro — no lo informa este ecosistema
Datos de entrada utilizados
packagesinspect_ai
dependents—
ecosystemspypi
total_downloads—
monthly_downloads10.516.017
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?

78Bueno · 24% del índice global

Resiliencia de mantenedores (factor bus)

62Moderado
Cómo se puntúa
25.2/54Factor bus — la mitad de los commits recae en 2 contribuyente(s)
13.1/22.5Distribución de commits — el principal contribuyente firma el 42% de los commits
13.5/13.5Amplitud de contribuyentes — 100 contribuyentes
10/10OpenSSF Scorecard: Contributors — project has 17 contributing companies or organizations
Datos de entrada utilizados
bus_factor2
contributors_sampled100
top_contributor_share0,416

Capacidad de respuesta a issues y PR

85Excelente
Cómo se puntúa
39/46.8Resolución de issues — 84% de issues cerradas
34.2/38.3Aceptación de PR — 3184/3558 PR decididos fusionados
12/15OpenSSF Scorecard: Code-Review — Found 10/12 approved changesets -- score normalized to 8
Datos de entrada utilizados
merged_prs3184
open_issues144
closed_issues730
issue_closed_ratio0,835
closed_unmerged_prs374

Propiedad y custodia

72Bueno
Cómo se puntúa
30/30Respaldo de la propiedad — propiedad de una organización
0/20Dominio verificado
17.1/25Alcance del propietario — 240 seguidores de UKGovernmentBEIS
25/25Trayectoria — 114 repos públicos, cuenta de ~10 años
Datos de entrada utilizados
followers240
owner_typeOrganization
is_verified—
owner_loginUKGovernmentBEIS
public_repos114
account_age_days3724

Mantenimiento de paquetes

100Excelente
Cómo se puntúa
25/25Publicado y resoluble — 1 paquete(s) en pypi
35/35Recencia de publicación — última publicación hace 0 días
20/20Historial de versiones — 248 versiones en el registro
20/20No obsoleto — activo, ni obsoleto ni retirado
Datos de entrada utilizados
packagesinspect_ai
ecosystemspypi
any_deprecatedno
min_days_since_publish0

Calidad de Ingeniería

¿Existen unas prácticas mínimas de ingeniería y documentación?

92Excelente · 20% del índice global

Prácticas de ingeniería

100Excelente
Cómo se puntúa
24/24Flujos de trabajo de CI — 6 flujo(s) de trabajo
24/24Pruebas presentes
16/16Configuración de linter — .pylintrc, ruff.toml
9.6/9.6Hooks de pre-commit
6.4/6.4.editorconfig
20/20OpenSSF Scorecard: CI-Tests — 12 out of 12 merged PRs checked by a CI test -- score normalized to 10
Datos de entrada utilizados
has_cisí
has_testssí
has_editorconfigsí
has_linter_configsí
has_precommit_configsí

Documentación

80Bueno
Cómo se puntúa
30/30README
25/25Directorio de documentación
15/15Sitio de documentación / página del proyecto — https://inspect.aisi.org.uk/
10/10Descripción del repositorio
0/10Topics
0/10Wiki
Datos de entrada utilizados
topics—
has_wikino
homepagehttps://inspect.aisi.org.uk/
has_readmesí
has_docs_dirsí
has_descriptionsí

Seguridad

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

60Moderado · 16% del índice global

Postura de seguridad

60Moderado
Cómo se puntúa
7.5/7.5Binary-Artifacts — no binaries found in the repo
0.8/7.5Branch-Protection — branch protection is not maximal on development and all release branches
2.5/2.5CI-Tests — 12 out of 12 merged PRs checked by a CI test -- score normalized to 10
0/2.5CII-Best-Practices — no effort to earn an OpenSSF best practices badge detected
6/7.5Code-Review — Found 10/12 approved changesets -- score normalized to 8
2.5/2.5Contributors — project has 17 contributing companies or organizations
10/10Dangerous-Workflow — no dangerous workflow patterns detected
7.5/7.5Dependency-Update-Tool — update tool detected
0/5Fuzzing — project is not fuzzed
2.5/2.5Licencia — 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
0/5Pinned-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
6.8/7.5Token-Permissions — detected GitHub workflow tokens with excessive permissions
0/7.5Vulnerabilities — 53 existing vulnerabilities detected
Datos de entrada utilizados
sourceopenssf_scorecard
checks_evaluated17
scorecard_versionv5.5.0
checks_inconclusive1
scorecard_aggregate6
Excluidos de la puntuación (sin datos o no aplicable): signed_releases. Los pesos restantes se han renormalizado.

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.

78Bueno · 0% del índice global

Contexto y guía para agentes

75Bueno
Cómo se puntúa
45/45Instrucciones para agentes — CLAUDE.md, src/inspect_sandbox_tools/CLAUDE.md
0/15Documentación legible por máquinas (llms.txt)
0/40Historial de commits legible — sin datos
Datos de entrada utilizados
has_llms_txtno
legible_history_share—
agent_instruction_filesCLAUDE.md, src/inspect_sandbox_tools/CLAUDE.md
agent_instruction_max_bytes8294
Excluidos de la puntuación (sin datos o no aplicable): Historial de commits legible. Los pesos restantes se han renormalizado.

Bucle de verificación (compilación / pruebas / verificación de tipos)

86Excelente
Cómo se puntúa
18/18Arranque con un solo comando — Makefile
22/22Pruebas automatizadas
11/11Configuración de lint / formato — .pylintrc, ruff.toml
11/11Verificación estática de tipos — src/inspect_ai/py.typed, tests/test_package/inspect_package/py.typed
10/10Entorno reproducible — devcontainer, Dockerfile, lockfile
0/10Práctica demostrada con agentes — sin datos
5/8Mantenimiento automatizado — automatización de dependencias configurada, no observada en los commits muestreados
0/10OpenSSF Scorecard: Pinned-Dependencies — dependency not pinned by hash detected -- score normalized to 0
Datos de entrada utilizados
has_nixno
has_testssí
lockfilespackage-lock.json, uv.lock, yarn.lock
has_dockerfilesí
typed_languageno
bootstrap_filesMakefile
has_devcontainersí
has_linter_configsí
typecheck_configssrc/inspect_ai/py.typed, tests/test_package/inspect_package/py.typed
agent_commit_share—
toolchain_manifests—
dependency_bot_commit_share0
Excluidos de la puntuación (sin datos o no aplicable): Práctica demostrada con agentes. Los pesos restantes se han renormalizado.

Legibilidad del código para modelos

81Bueno
Cómo se puntúa
27/45Código verificable por tipos — Python con configuración de verificación de tipos (src/inspect_ai/py.typed, tests/test_package/inspect_package/py.typed)
53.7/55Tamaños de archivo manejables — 35/1500 archivos fuente de más de 60 KB
Datos de entrada utilizados
primary_languagePython
largest_source_bytes173.241
source_files_sampled1500
oversized_source_files35

Interfaces legibles por máquina

60Moderado
Cómo se puntúa
0/40Esquema de API (OpenAPI/GraphQL/proto)
20/20Servidor MCP
40/40Ejemplos ejecutables — examples, notebooks, samples
Datos de entrada utilizados
example_dirsexamples, notebooks, samples
has_mcp_signalsí
api_schema_files—

Datos clave

2368estrellas de GitHub
100contribuidores
3670commits en los últimos 12 meses
0días desde el último push
99versiones publicadas
2factor bus
144issues abiertas
PyPIecosistemas de paquetes

Más detalle

OpenSSF Scorecard 6.0 / 10
6.0agregado

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 · 2026-07-18 01:34 UTC

10Binary-Artifactsno binaries found in the repo
1Branch-Protectionbranch protection is not maximal on development and all release branches
10CI-Tests12 out of 12 merged PRs checked by a CI test -- score normalized to 10
0CII-Best-Practicesno effort to earn an OpenSSF best practices badge detected
8Code-ReviewFound 10/12 approved changesets -- score normalized to 8
10Contributorsproject has 17 contributing companies or organizations
10Dangerous-Workflowno dangerous workflow patterns detected
10Dependency-Update-Toolupdate tool detected
0Fuzzingproject is not fuzzed
10Licenselicense file detected
10Maintained30 commit(s) and 5 issue activity found in the last 90 days -- score normalized to 10
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
9Token-Permissionsdetected GitHub workflow tokens with excessive permissions
0Vulnerabilities53 existing vulnerabilities detected
Todas las dependencias 509

Conjunto completo de dependencias resueltas según el grafo de dependencias de GitHub: 0 paquetes directos y 509 indirectos (transitivos). El cierre transitivo es completo cuando el repositorio incluye un lockfile.

RegistroPaqueteVersiónRelación
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npm@csstools/css-parser-algorithms3.0.5indirecta
npm@csstools/css-tokenizer3.0.4indirecta
npm@excalidraw/utils0.1.2indirecta
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npmms2.1.3indirecta
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npmuniversalify0.2.0indirecta
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PyPIboto31.40.61indirecta
PyPIbotocore1.40.61indirecta
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PyPIbuild1.5.0indirecta
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PyPIcfgv3.5.0indirecta
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PyPIclick8.2.1indirecta
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PyPIjupyterlab-widgets3.0.16indirecta
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PyPIlangchain-community—indirecta
PyPIlangchain-core—indirecta
PyPIlangchain-openai—indirecta
PyPIlanggraph—indirecta
PyPIlanggraph-prebuilt—indirecta
PyPIlark1.3.1indirecta
PyPIlazy-object-proxy1.12.0indirecta
PyPIlibcst1.8.6indirecta
PyPIlibrt0.11.0indirecta
PyPIlinkify-it-py2.1.0indirecta
PyPImarkdown—indirecta
PyPImarkdown3.10.2indirecta
PyPImarkdown-it-py4.2.0indirecta
PyPImarkupsafe3.0.3indirecta
PyPImatplotlib-inline0.2.2indirecta
PyPImcp—indirecta
PyPImcp1.27.2indirecta
PyPImdit-py-plugins0.6.1indirecta
PyPImdurl0.1.2indirecta
PyPImistralai—indirecta
PyPImistralai2.4.9indirecta
PyPImistune3.2.1indirecta
PyPImmh3—indirecta
PyPImmh35.2.1indirecta
PyPImore-itertools11.1.0indirecta
PyPImoto—indirecta
PyPImoto5.2.1indirecta
PyPImpmath1.3.0indirecta
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PyPImsal-extensions1.3.1indirecta
PyPImsgpack1.1.2indirecta
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PyPImypy—indirecta
PyPImypy2.1.0indirecta
PyPImypy-extensions1.1.0indirecta
PyPInbclient—indirecta
PyPInbclient0.10.4indirecta
PyPInbconvert7.17.1indirecta
PyPInbformat—indirecta
PyPInbformat5.10.4indirecta
PyPInest-asyncio1.6.0indirecta
PyPInest-asyncio2—indirecta
PyPInest-asyncio21.7.2indirecta
PyPInetworkx3.4.2indirecta
PyPInetworkx3.6.1indirecta
PyPInh30.3.5indirecta
PyPInodeenv1.10.0indirecta
PyPInotebook7.5.6indirecta
PyPInotebook-shim0.2.4indirecta
PyPInumpy—indirecta
PyPInumpy2.2.6indirecta
PyPInumpy2.4.6indirecta
PyPIoauthlib3.3.1indirecta
PyPIopenai—indirecta
PyPIopenai2.45.0indirecta
PyPIopenapi-schema-validator0.9.0indirecta
PyPIopenapi-spec-validator0.9.0indirecta
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PyPIpackaging25.0indirecta
PyPIpandas—indirecta
PyPIpandas2.3.3indirecta
PyPIpandas3.0.3indirecta
PyPIpandas-stubs—indirecta
PyPIpandas-stubs2.3.3.260113indirecta
PyPIpandas-stubs3.0.3.260530indirecta
PyPIpandocfilters1.5.1indirecta
PyPIpanflute—indirecta
PyPIpanflute2.3.1indirecta
PyPIparso0.8.7indirecta
PyPIpathable0.6.0indirecta
PyPIpathlib-abc0.5.2indirecta
PyPIpathspec1.1.1indirecta
PyPIpexpect4.9.0indirecta
PyPIpillow12.2.0indirecta
PyPIpip—indirecta
PyPIpip26.1.2indirecta
PyPIplatformdirs—indirecta
PyPIplatformdirs4.10.0indirecta
PyPIpluggy1.6.0indirecta
PyPIpre-commit—indirecta
PyPIpre-commit4.6.0indirecta
PyPIprometheus-client0.25.0indirecta
PyPIprompt-toolkit3.0.52indirecta
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PyPIprotobuf6.33.6indirecta
PyPIpsutil—indirecta
PyPIpsutil7.2.2indirecta
PyPIptyprocess0.7.0indirecta
PyPIpure-eval0.2.3indirecta
PyPIpy-partiql-parser0.6.3indirecta
PyPIpyarrow—indirecta
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PyPIpyarrow-stubs—indirecta
PyPIpyarrow-stubs20.0.0.20251215indirecta
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PyPIpydantic—indirecta
PyPIpydantic2.13.4indirecta
PyPIpydantic-core2.46.4indirecta
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PyPIpyparsing3.3.2indirecta
PyPIpyproject-hooks1.2.0indirecta
PyPIpytest—indirecta
PyPIpytest9.0.3indirecta
PyPIpytest-cov—indirecta
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PyPIpytest-dotenv0.5.2indirecta
PyPIpytest-mock—indirecta
PyPIpytest-mock3.15.1indirecta
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PyPIpython-dotenv—indirecta
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PyPIpyyaml—indirecta
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PyPIshortuuid—indirecta
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PyPIzstandard—indirecta
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Informe JSON sin procesar legible por máquina
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          "avatar_url": "https://avatars.githubusercontent.com/u/166920645?v=4"
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        {
          "type": "User",
          "login": "epatey",
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          "avatar_url": "https://avatars.githubusercontent.com/u/769548?u=228b4d9f7171dcd4774872853cb6bbe36e95c134&v=4"
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        {
          "type": "Bot",
          "login": "github-actions[bot]",
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          "avatar_url": "https://avatars.githubusercontent.com/in/15368?v=4"
        },
        {
          "type": "User",
          "login": "rasmusfaber",
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          "avatar_url": "https://avatars.githubusercontent.com/u/2798829?v=4"
        },
        {
          "type": "User",
          "login": "max-kaufmann",
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          "avatar_url": "https://avatars.githubusercontent.com/u/75174544?u=d8ee0671db2c20eef2a53eae7f377e2c51093106&v=4"
        },
        {
          "type": "User",
          "login": "lorenzoAtBEIS",
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          "avatar_url": "https://avatars.githubusercontent.com/u/68518050?v=4"
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      ],
      "contributors_sampled": 100,
      "top_contributor_share": 0.416
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      "has_tests": true,
      "ci_workflows": [
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        "build_sandbox_tools.yml",
        "docker.yml",
        "log_viewer.yml",
        "npm-publish.yml",
        "test.yml"
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      "linter_configs": [
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      "has_linter_config": true,
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            "documentation_url": "https://github.com/ossf/scorecard/blob/c395761df6afe1a69e476bc60a013a94bcbc153f/docs/checks.md#binary-artifacts"
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          {
            "name": "Branch-Protection",
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            "documentation_url": "https://github.com/ossf/scorecard/blob/c395761df6afe1a69e476bc60a013a94bcbc153f/docs/checks.md#branch-protection"
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          {
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            "reason": "no effort to earn an OpenSSF best practices badge detected",
            "documentation_url": "https://github.com/ossf/scorecard/blob/c395761df6afe1a69e476bc60a013a94bcbc153f/docs/checks.md#cii-best-practices"
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            "documentation_url": "https://github.com/ossf/scorecard/blob/c395761df6afe1a69e476bc60a013a94bcbc153f/docs/checks.md#code-review"
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            "documentation_url": "https://github.com/ossf/scorecard/blob/c395761df6afe1a69e476bc60a013a94bcbc153f/docs/checks.md#contributors"
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          {
            "name": "Dangerous-Workflow",
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            "reason": "no dangerous workflow patterns detected",
            "documentation_url": "https://github.com/ossf/scorecard/blob/c395761df6afe1a69e476bc60a013a94bcbc153f/docs/checks.md#dangerous-workflow"
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          {
            "name": "Dependency-Update-Tool",
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            "reason": "update tool detected",
            "documentation_url": "https://github.com/ossf/scorecard/blob/c395761df6afe1a69e476bc60a013a94bcbc153f/docs/checks.md#dependency-update-tool"
          },
          {
            "name": "Fuzzing",
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            "reason": "project is not fuzzed",
            "documentation_url": "https://github.com/ossf/scorecard/blob/c395761df6afe1a69e476bc60a013a94bcbc153f/docs/checks.md#fuzzing"
          },
          {
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            "reason": "license file detected",
            "documentation_url": "https://github.com/ossf/scorecard/blob/c395761df6afe1a69e476bc60a013a94bcbc153f/docs/checks.md#license"
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          {
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            "documentation_url": "https://github.com/ossf/scorecard/blob/c395761df6afe1a69e476bc60a013a94bcbc153f/docs/checks.md#maintained"
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          {
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            "reason": "packaging workflow detected",
            "documentation_url": "https://github.com/ossf/scorecard/blob/c395761df6afe1a69e476bc60a013a94bcbc153f/docs/checks.md#packaging"
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            "documentation_url": "https://github.com/ossf/scorecard/blob/c395761df6afe1a69e476bc60a013a94bcbc153f/docs/checks.md#pinned-dependencies"
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            "documentation_url": "https://github.com/ossf/scorecard/blob/c395761df6afe1a69e476bc60a013a94bcbc153f/docs/checks.md#sast"
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            "reason": "security policy file not detected",
            "documentation_url": "https://github.com/ossf/scorecard/blob/c395761df6afe1a69e476bc60a013a94bcbc153f/docs/checks.md#security-policy"
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            "reason": "no releases found",
            "documentation_url": "https://github.com/ossf/scorecard/blob/c395761df6afe1a69e476bc60a013a94bcbc153f/docs/checks.md#signed-releases"
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            "documentation_url": "https://github.com/ossf/scorecard/blob/c395761df6afe1a69e476bc60a013a94bcbc153f/docs/checks.md#vulnerabilities"
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      "note": null,
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            "key": "community_health",
            "band": "good",
            "name": "Community health",
            "note": null,
            "notes": [],
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            "inputs": {
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              "has_contributing": true,
              "has_issue_template": false,
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                "key": "license",
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                "status": "met",
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                "points": 0,
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            "notes": [
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                "code": "excluded_no_data",
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            "value": 100,
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            "components": [
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                "points": 80,
                "status": "met",
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                "key": "registry_dependents",
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                "name": "OpenSSF Scorecard: Code-Review",
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            "key": "stewardship",
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            "notes": [],
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            "inputs": {
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            "components": [
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                "key": "owner_reach",
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                "points": 25,
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                    "code": "account_age_years",
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            "key": "package_maintenance",
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                "max_points": 35
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                "key": "not_deprecated",
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        "key": "engineering",
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                "key": "ci_workflows",
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                "points": 24,
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}

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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 v0.12.0 — metodología completa · wiki de métricas.

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