Registro público
Informe de salud del softwareesquema 0.23.0 · métricas 1.13.0 · 2026-07-21 21:01 UTC

aquaproj / aqua-registry

aqua's Standard Registry

YAMLMIT★ 358 estrellas⑂ 369 forksdesde sept 2021Ver en GitHub ↗

aquaproj/aqua-registry tiene un índice de salud de 71 sobre 100, lo que lo sitúa en la banda Bueno. Su puntuación más alta es Vitality (100/100) y la más baja, AI Readiness (49/100). Se actualizó por última vez hoy. Una sola persona concentra la mayor parte del trabajo reciente.

71
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.

71
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

aquaprojOrganización
85 seguidores29 repositorios públicosdesde nov 2021

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

Métricas por categoría

Vitalidad

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

100Excelente · 22% del índice global
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 — 17.346 commits en el último año
10/10OpenSSF Scorecard: Maintained — 30 commit(s) and 17 issue activity found in the last 90 days -- score normalized to 10
Datos de entrada utilizados
commits_last_year17.346
human_commit_share0,07
days_since_last_push0
active_weeks_last_year52
Cómo se puntúa
27/27Publica versiones — 100 versiones publicadas
36/36Recencia de las versiones — última versión hace 0 días
27/27Cadencia de publicación — una versión cada ~1,5 días
0/10OpenSSF Scorecard: Signed-Releases — sin datos
Datos de entrada utilizados
releases_count100
latest_release_tagv4.540.0
releases_from_tagsno
days_since_latest_release0
mean_days_between_releases1,5
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?

70Bueno · 18% del índice global
Cómo se puntúa
41.4/60Estrellas — 358 estrellas
21.4/25Forks — 369 forks
1.7/15Observadores — 3 observadores
Datos de entrada utilizados
forks369
stars358
watchers3
growth_stateorganic
growth_factor_pct100
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_readme
has_license
has_contributing
has_issue_templateno
has_code_of_conductno
has_pull_request_template

Sostenibilidad y Gobernanza

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

61Moderado · 24% del índice global
Cómo se puntúa
9/54Factor bus — la mitad de los commits recae en 1 contribuyente(s)
10.2/22.5Distribución de commits — el principal contribuyente firma el 55% de los commits
13.5/13.5Amplitud de contribuyentes — 98 contribuyentes
10/10OpenSSF Scorecard: Contributors — project has 55 contributing companies or organizations
Datos de entrada utilizados
bus_factor1
contributors_sampled98
top_contributor_share0,548
Cómo se puntúa
44/46.8Resolución de issues — 94% de issues cerradas
36.7/38.3Aceptación de PR — 53.927/56.204 PR decididos fusionados
0/15OpenSSF Scorecard: Code-Review — Found 1/29 approved changesets -- score normalized to 0
Datos de entrada utilizados
merged_prs53.927
open_issues52
closed_issues839
issue_closed_ratio0,942
closed_unmerged_prs2277
Cómo se puntúa
30/30Respaldo de la propiedad — propiedad de una organización
0/20Dominio verificado
13.9/25Alcance del propietario — 85 seguidores de aquaproj
20/25Trayectoria — 29 repos públicos, cuenta de ~4 años
Datos de entrada utilizados
followers85
owner_typeOrganization
is_verified
owner_loginaquaproj
public_repos29
account_age_days1697

Calidad de Ingeniería

¿Existen unas prácticas mínimas de ingeniería y documentación?

62Moderado · 20% del índice global
Cómo se puntúa
24/24Flujos de trabajo de CI — 21 flujo(s) de trabajo
0/24Pruebas presentes
0/16Configuración de linter
0/9.6Hooks de pre-commit
0/6.4.editorconfig
20/20OpenSSF Scorecard: CI-Tests — 30 out of 30 merged PRs checked by a CI test -- score normalized to 10
Datos de entrada utilizados
has_ci
has_testsno
has_editorconfigno
has_linter_configno
has_precommit_configno

Documentación

90Excelente
Cómo se puntúa
30/30README
25/25Directorio de documentación
15/15Sitio de documentación / página del proyecto — https://aquaproj.github.io
10/10Descripción del repositorio
10/10Topics — 1 topics
0/10Wiki
Datos de entrada utilizados
topicsoss
has_wikino
homepagehttps://aquaproj.github.io
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?

59Moderado · 16% del índice global
Cómo se puntúa
7.5/7.5Binary-Artifacts — no binaries found in the repo
2.2/7.5Branch-Protection — branch protection is not maximal on development and all release branches
2.5/2.5CI-Tests — 30 out of 30 merged PRs checked by a CI test -- score normalized to 10
0/2.5CII-Best-Practices — no effort to earn an OpenSSF best practices badge detected
0/7.5Code-Review — Found 1/29 approved changesets -- score normalized to 0
2.5/2.5Contributors — project has 55 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 17 issue activity found in the last 90 days -- score normalized to 10
0/5Packaging — sin datos
4/5Pinned-Dependencies — dependency not pinned by hash detected -- score normalized to 8
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
0.8/7.5Token-Permissions — detected GitHub workflow tokens with excessive permissions
7.5/7.5Vulnerabilities — 0 existing vulnerabilities detected
Datos de entrada utilizados
sourceopenssf_scorecard
checks_evaluated16
scorecard_versionv5.5.0
checks_inconclusive2
scorecard_aggregate5,9
Excluidos de la puntuación (sin datos o no aplicable): packaging, 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.

49En riesgo · 0% del índice global
Cómo se puntúa
45/45Instrucciones para agentes — .github/copilot-instructions.md, AGENTS.md, CLAUDE.md, GEMINI.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_files.github/copilot-instructions.md, AGENTS.md, CLAUDE.md, GEMINI.md
agent_instruction_max_bytes11.511
Excluidos de la puntuación (sin datos o no aplicable): Historial de commits legible. Los pesos restantes se han renormalizado.
Cómo se puntúa
0/18Arranque con un solo comando
0/22Pruebas automatizadas
0/11Configuración de lint / formato
0/11Verificación estática de tipos
10/10Entorno reproducible — Dockerfile
2/10Práctica demostrada con agentes — 1 de los últimos 100 commits con autoría o crédito de agente
8/8Mantenimiento automatizado — 2 de los últimos 100 commits son actualizaciones automáticas de dependencias
8/10OpenSSF Scorecard: Pinned-Dependencies — dependency not pinned by hash detected -- score normalized to 8
Datos de entrada utilizados
has_nixno
has_testsno
lockfiles
has_dockerfile
typed_languageno
bootstrap_files
has_devcontainerno
has_linter_configno
typecheck_configs
agent_commit_share0,01
toolchain_manifests
dependency_bot_commit_share0,02
Cómo se puntúa
0/45Código verificable por tipos — YAML sin configuración de verificación de tipos
55/55Tamaños de archivo manejables — 0/2 archivos fuente de más de 60 KB
Datos de entrada utilizados
primary_languageYAML
largest_source_bytes22.679
source_files_sampled2
oversized_source_files0

Datos clave

358estrellas de GitHub
98contribuidores
17.346commits en los últimos 12 meses
0días desde el último push
100versiones publicadas
1factor bus
52issues abiertas
ecosistemas de paquetes

Más detalle

Historial de estrellas y forks 358 ★ / 369 ⇿
358Estrellas
369Forks
99Versiones

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.

012525037535836792021-092024-022026-07
Mayor 0Menor 85Parche 14

Cada punto abarca 5 días.

OpenSSF Scorecard 5.9 / 10
5.9agregado

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 · 2026-07-21 21:01 UTC

10Binary-Artifactsno binaries found in the repo
3Branch-Protectionbranch protection is not maximal on development and all release branches
10CI-Tests30 out of 30 merged PRs checked by a CI test -- score normalized to 10
0CII-Best-Practicesno effort to earn an OpenSSF best practices badge detected
0Code-ReviewFound 1/29 approved changesets -- score normalized to 0
10Contributorsproject has 55 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 17 issue activity found in the last 90 days -- score normalized to 10
n/dPackagingpackaging workflow not detected
8Pinned-Dependenciesdependency not pinned by hash detected -- score normalized to 8
0SASTSAST tool is not run on all commits -- score normalized to 0
0Security-Policysecurity policy file not detected
n/dSigned-Releasesno releases found
1Token-Permissionsdetected GitHub workflow tokens with excessive permissions
10Vulnerabilities0 existing vulnerabilities detected
Todas las dependencias 0

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

RegistroPaqueteVersiónRelación
Avisos de dependencias sin evaluar

El cotejo de avisos no pudo ejecutarse para este informe: No resolved dependencies to assess

Informe JSON sin procesar legible por máquina
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                "key": "openssf_scorecard_contributors",
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                "key": "owner_reach",
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                "key": "track_record",
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                "key": "fuzzing",
                "name": "Fuzzing",
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                "key": "vulnerabilities",
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          },
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        ],
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            "value": 75,
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                "key": "machine_readable_docs_llms_txt",
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          },
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            "components": [
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                "key": "automated_tests",
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                "key": "reproducible_environment",
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                "key": "demonstrated_agent_practice",
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                "max_points": 10
              },
              {
                "key": "automated_maintenance",
                "name": "Automated maintenance",
                "detail": "2 of the last 100 commits are automated dependency updates",
                "points": 8,
                "status": "met",
                "details": [
                  {
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                    "params": {
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                    }
                  }
                ],
                "max_points": 8
              },
              {
                "key": "openssf_scorecard_pinned_dependencies",
                "name": "OpenSSF Scorecard: Pinned-Dependencies",
                "detail": "dependency not pinned by hash detected -- score normalized to 8",
                "points": 8,
                "status": "partial",
                "details": [],
                "max_points": 10
              }
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          },
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            "key": "ai_code_legibility",
            "band": "moderate",
            "name": "Code legibility for models",
            "note": null,
            "notes": [],
            "value": 55,
            "inputs": {
              "primary_language": "YAML",
              "largest_source_bytes": 22679,
              "source_files_sampled": 2,
              "oversized_source_files": 0
            },
            "components": [
              {
                "key": "type_checkable_code",
                "name": "Type-checkable code",
                "detail": "YAML without a type-check config",
                "points": 0,
                "status": "missed",
                "details": [
                  {
                    "code": "no_typecheck_config_language",
                    "params": {
                      "language": "YAML"
                    }
                  }
                ],
                "max_points": 45
              },
              {
                "key": "manageable_file_sizes",
                "name": "Manageable file sizes",
                "detail": "0/2 source files over 60KB",
                "points": 55,
                "status": "met",
                "details": [
                  {
                    "code": "oversized_source_files",
                    "params": {
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                      "sampled": 2,
                      "oversized": 0
                    }
                  }
                ],
                "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": [],
  "report_type": "repository",
  "generated_at": "2026-07-21T21:01:32.402576Z",
  "schema_version": "0.23.0",
  "badge_url": "https://raw.githubusercontent.com/inspect-software/badges/main/v1/a/aquaproj/aqua-registry.svg",
  "full_name": "aquaproj/aqua-registry",
  "license_state": "standard",
  "license_spdx": "MIT"
}

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 v0.23.0 — metodología completa · wiki de métricas.

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