Registro público
Informe de salud del softwareesquema 0.16.0 · métricas 1.13.0 · 2026-07-21 02:28 UTC

savoirfairelinux / num2words

Modules to convert numbers to words. 42 --> forty-two

PythonLGPL-2.1★ 958 estrellas⑂ 548 forksdesde may 2013Ver en GitHub ↗

savoirfairelinux/num2words tiene un índice de salud de 53 sobre 100, lo que lo sitúa en la banda Moderado. Su puntuación más alta es Community & Adoption (89/100) y la más baja, Security (1/100). Se actualizó por última vez hace 416 días. 10 personas concentran la mayor parte del trabajo reciente.

53
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.

53
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

Savoir-faire LinuxOrganización
172 seguidores364 repositorios públicosdesde nov 2012

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?

21Crítico · 22% del índice global
Cómo se puntúa
0/36Recencia de push — último push hace 416 días
0/36Cadencia de commits — 0/52 semanas con commits
0/18Volumen de commits — 0 commits en el último año
0/10OpenSSF Scorecard: Maintained — sin datos
Datos de entrada utilizados
commits_last_year0
human_commit_share
days_since_last_push416
active_weeks_last_year0
Cómo se puntúa
27/27Publica versiones — 10 versiones publicadas
7.2/36Recencia de las versiones — última versión hace 581 días
12.6/27Cadencia de publicación — una versión cada ~302,6 días
0/10OpenSSF Scorecard: Signed-Releases — sin datos
Datos de entrada utilizados
releases_count10
latest_release_tagv0.5.14
releases_from_tagsno
days_since_latest_release581
mean_days_between_releases302,6

Comunidad y Adopción

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

89Excelente · 18% del índice global
Cómo se puntúa
48.4/60Estrellas — 958 estrellas
22.8/25Forks — 548 forks
8.7/15Observadores — 38 observadores
Datos de entrada utilizados
forks548
stars958
watchers38
growth_stateunverified
growth_factor_pct100
growth_unverified_reasonno_history
Cómo se puntúa
22.5/22.5README
22.5/22.5Licencia — licencia reconocida (LGPL-2.1)
18/18Guía CONTRIBUTING
13.5/13.5Código de conducta
7.2/7.2Plantilla de issues
6.3/6.3Plantilla de PR
Datos de entrada utilizados
has_readme
has_license
has_contributing
has_issue_template
has_code_of_conduct
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?

76Bueno · 24% del índice global
Cómo se puntúa
54/54Factor bus — la mitad de los commits recae en 10 contribuyente(s)
19.7/22.5Distribución de commits — el principal contribuyente firma el 12% de los commits
13.5/13.5Amplitud de contribuyentes — 100 contribuyentes
0/10OpenSSF Scorecard: Contributors — sin datos
Datos de entrada utilizados
bus_factor10
contributors_sampled100
top_contributor_share0,124
Cómo se puntúa
24.4/46.8Resolución de issues — 52% de issues cerradas
22.9/38.3Aceptación de PR — 193/322 PR decididos fusionados
0/15OpenSSF Scorecard: Code-Review — sin datos
Datos de entrada utilizados
merged_prs193
open_issues105
closed_issues114
issue_closed_ratio0,521
closed_unmerged_prs129
Cómo se puntúa
30/30Respaldo de la propiedad — propiedad de una organización
0/20Dominio verificado
16.1/25Alcance del propietario — 172 seguidores de savoirfairelinux
25/25Trayectoria — 364 repos públicos, cuenta de ~13 años
Datos de entrada utilizados
followers172
owner_typeOrganization
is_verified
owner_loginsavoirfairelinux
public_repos364
account_age_days5004

Calidad de Ingeniería

¿Existen unas prácticas mínimas de ingeniería y documentación?

72Bueno · 20% del índice global
Cómo se puntúa
24/24Flujos de trabajo de CI — 1 flujo(s) de trabajo
24/24Pruebas presentes
16/16Configuración de linter — tox.ini
0/9.6Hooks de pre-commit
0/6.4.editorconfig
0/20OpenSSF Scorecard: CI-Tests — sin datos
Datos de entrada utilizados
has_ci
has_tests
has_editorconfigno
has_linter_config
has_precommit_configno

Documentación

60Moderado
Cómo se puntúa
30/30README
0/25Directorio de documentación
0/15Sitio de documentación / página del proyecto
10/10Descripción del repositorio
10/10Topics — 2 topics
10/10Wiki
Datos de entrada utilizados
topicshacktoberfest, python
has_wiki
homepage
has_readme
has_docs_dirno
has_description

Seguridad

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

1Crítico · 16% del índice global
Cómo se puntúa
0/30Política de seguridad (SECURITY.md)
0/25Configuración de Dependabot
0/25Lockfiles de dependencias
0/20Flujo de trabajo de CodeQL
Datos de entrada utilizados
sourcefile_signals
lockfiles
manifestsrequirements-test.txt, setup.py
has_codeql_workflowno
has_security_policyno
has_dependabot_configno

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.

38En riesgo · 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)
0/40Historial de commits legible — sin datos
Datos de entrada utilizados
has_llms_txtno
legible_history_share
agent_instruction_files
agent_instruction_max_bytes
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
22/22Pruebas automatizadas
11/11Configuración de lint / formato — tox.ini
0/11Verificación estática de tipos
10/10Entorno reproducible — Dockerfile
0/10Práctica demostrada con agentes — sin datos
0/8Mantenimiento automatizado — sin datos
0/10OpenSSF Scorecard: Pinned-Dependencies — sin datos
Datos de entrada utilizados
has_nixno
has_tests
lockfiles
has_dockerfile
typed_languageno
bootstrap_files
has_devcontainerno
has_linter_config
typecheck_configs
agent_commit_share
toolchain_manifests
dependency_bot_commit_share
Excluidos de la puntuación (sin datos o no aplicable): Práctica demostrada con agentes, Mantenimiento automatizado. Los pesos restantes se han renormalizado.
Cómo se puntúa
0/45Código verificable por tipos — Python sin configuración de verificación de tipos
53.8/55Tamaños de archivo manejables — 3/139 archivos fuente de más de 60 KB
Datos de entrada utilizados
primary_languagePython
largest_source_bytes211.882
source_files_sampled139
oversized_source_files3

Datos clave

958estrellas de GitHub
100contribuidores
0commits en los últimos 12 meses
416días desde el último push
10versiones publicadas
10factor bus
105issues abiertas
PyPIecosistemas de paquetes

Advertencias de recopilación de datos

  • No resolved dependencies carried a version and a supported ecosystem
  • OpenSSF Scorecard timed out after 240s; skipping Scorecard checks

Más detalle

Todas las dependencias 8

Conjunto completo de dependencias resueltas según el grafo de dependencias de GitHub: 0 paquetes directos y 8 indirectos (transitivos). El cierre transitivo es completo cuando el repositorio incluye un lockfile.

RegistroPaqueteVersiónRelación
PyPIcoverageindirecta
PyPIdelegator-pyindirecta
PyPIdocoptindirecta
PyPIflake8indirecta
PyPIflake8-copyrightindirecta
PyPIisortindirecta
PyPIpep8indirecta
PyPItoxindirecta
Avisos de dependencias sin evaluar

El cotejo de avisos no pudo ejecutarse para este informe: No resolved dependencies carried a version and a supported ecosystem

Informe JSON sin procesar legible por máquina
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                "key": "stars",
                "name": "Stars",
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                "max_points": 60
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              {
                "key": "forks",
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                    "code": "forks",
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              {
                "key": "watchers",
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          {
            "key": "community_health",
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            "notes": [],
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            "inputs": {
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              "has_contributing": true,
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                  {
                    "code": "license_standard",
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                  {
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              {
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              {
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      {
        "key": "governance",
        "band": "good",
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        "weight": 0.24,
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              {
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                "max_points": 13.5
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              {
                "key": "openssf_scorecard_contributors",
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                "points": 0,
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                "details": [
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                "max_points": 10
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            "note": null,
            "notes": [],
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              "closed_issues": 114,
              "issue_closed_ratio": 0.521,
              "closed_unmerged_prs": 129
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                "key": "issue_resolution",
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                "points": 24.4,
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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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                "max_points": 38.25
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              {
                "key": "openssf_scorecard_code_review",
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                "detail": "OpenSSF Scorecard unavailable",
                "points": 0,
                "status": "excluded",
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          {
            "key": "stewardship",
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            "note": null,
            "notes": [],
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              "account_age_days": 5004
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                "max_points": 30
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              {
                "key": "verified_domain",
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                "points": 0,
                "status": "missed",
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              },
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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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                "detail": "364 public repos, account ~13 yr old",
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                    "code": "public_repos",
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                  {
                    "code": "account_age_years",
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                "max_points": 25
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      {
        "key": "engineering",
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        "name": "Engineering Quality",
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        "weight": 0.2,
        "metrics": [
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              {
                "key": "linter_config",
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                "status": "met",
                "details": [
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                "max_points": 16
              },
              {
                "key": "pre_commit_hooks",
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                "points": 0,
                "status": "missed",
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                "max_points": 9.6
              },
              {
                "key": "editorconfig",
                "name": ".editorconfig",
                "detail": null,
                "points": 0,
                "status": "missed",
                "details": [],
                "max_points": 6.4
              },
              {
                "key": "openssf_scorecard_ci_tests",
                "name": "OpenSSF Scorecard: CI-Tests",
                "detail": "OpenSSF Scorecard unavailable",
                "points": 0,
                "status": "excluded",
                "details": [
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                    "params": {}
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                ],
                "max_points": 20
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            ]
          },
          {
            "key": "documentation",
            "band": "moderate",
            "name": "Documentation",
            "note": null,
            "notes": [],
            "value": 60,
            "inputs": {
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              ],
              "has_wiki": true,
              "homepage": null,
              "has_readme": true,
              "has_docs_dir": false,
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            },
            "components": [
              {
                "key": "readme",
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                "points": 30,
                "status": "met",
                "details": [],
                "max_points": 30
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              {
                "key": "documentation_directory",
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                "detail": null,
                "points": 0,
                "status": "missed",
                "details": [],
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              },
              {
                "key": "documentation_homepage_site",
                "name": "Documentation / homepage site",
                "detail": null,
                "points": 0,
                "status": "missed",
                "details": [],
                "max_points": 15
              },
              {
                "key": "repository_description",
                "name": "Repository description",
                "detail": null,
                "points": 10,
                "status": "met",
                "details": [],
                "max_points": 10
              },
              {
                "key": "topics",
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                "points": 10,
                "status": "met",
                "details": [
                  {
                    "code": "topics_count",
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                ],
                "max_points": 10
              },
              {
                "key": "wiki",
                "name": "Wiki",
                "detail": null,
                "points": 10,
                "status": "met",
                "details": [],
                "max_points": 10
              }
            ]
          }
        ],
        "description": "Are baseline engineering and documentation practices in place?"
      },
      {
        "key": "security",
        "band": "critical",
        "name": "Security",
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        "weight": 0.16,
        "metrics": [
          {
            "key": "security_posture",
            "band": "critical",
            "name": "Security posture",
            "note": null,
            "notes": [],
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            "inputs": {
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              "lockfiles": [],
              "manifests": [
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                "setup.py"
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            "components": [
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                "name": "Security policy (SECURITY.md)",
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                "points": 0,
                "status": "missed",
                "details": [],
                "max_points": 30
              },
              {
                "key": "dependabot_config",
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                "points": 0,
                "status": "missed",
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              },
              {
                "key": "dependency_lockfiles",
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                "points": 0,
                "status": "missed",
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                "max_points": 25
              },
              {
                "key": "codeql_workflow",
                "name": "CodeQL workflow",
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                "points": 0,
                "status": "missed",
                "details": [],
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              }
            ]
          },
          {
            "key": "high_risk_jurisdiction_exposure",
            "band": "excellent",
            "name": "High-Risk Jurisdiction Exposure",
            "note": "Only high-confidence self-published location evidence affects this multiplier. Ambiguous matches are review-only; country evidence is not proof of nationality, citizenship, legal registration, malicious intent, or sanctions status.",
            "notes": [
              {
                "code": "jurisdiction_evidence_limits",
                "params": {}
              }
            ],
            "value": 100,
            "inputs": {
              "meaning": "self-published location evidence; not nationality or citizenship",
              "red_flag": false,
              "exposures": [],
              "policy_countries": [
                "Russia",
                "Iran",
                "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": {}
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                ],
                "max_points": 100
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            ]
          }
        ],
        "description": "Are visible security and supply-chain practices strong, with no malicious dependency and no unresolved high-risk jurisdiction exposure?"
      },
      {
        "key": "ai_readiness",
        "band": "at_risk",
        "name": "AI Readiness",
        "value": 38,
        "weight": 0,
        "metrics": [
          {
            "key": "ai_agent_context",
            "band": "critical",
            "name": "Agent context & guidance",
            "note": "Excluded from scoring (no data or not applicable): Legible commit history. Remaining weights renormalized.",
            "notes": [
              {
                "code": "excluded_no_data",
                "params": {
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              },
              {
                "code": "weights_renormalized",
                "params": {}
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            ],
            "value": 1,
            "inputs": {
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              "legible_history_share": null,
              "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": {}
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                ],
                "max_points": 45
              },
              {
                "key": "machine_readable_docs_llms_txt",
                "name": "Machine-readable docs (llms.txt)",
                "detail": null,
                "points": 0,
                "status": "missed",
                "details": [],
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              },
              {
                "key": "legible_commit_history",
                "name": "Legible commit history",
                "detail": "no data",
                "points": 0,
                "status": "excluded",
                "details": [
                  {
                    "code": "no_data",
                    "params": {}
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                ],
                "max_points": 40
              }
            ]
          },
          {
            "key": "ai_verify_loop",
            "band": "moderate",
            "name": "Verify loop (build / test / typecheck)",
            "note": "Excluded from scoring (no data or not applicable): Demonstrated agent practice, Automated maintenance. Remaining weights renormalized.",
            "notes": [
              {
                "code": "excluded_no_data",
                "params": {
                  "components": [
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              },
              {
                "code": "weights_renormalized",
                "params": {}
              }
            ],
            "value": 60,
            "inputs": {
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              "has_dockerfile": true,
              "typed_language": false,
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              "toolchain_manifests": [],
              "dependency_bot_commit_share": null
            },
            "components": [
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                "key": "one_command_bootstrap",
                "name": "One-command bootstrap",
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                "points": 0,
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              },
              {
                "key": "automated_tests",
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                "points": 22,
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              },
              {
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                "points": 11,
                "status": "met",
                "details": [
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                ],
                "max_points": 11
              },
              {
                "key": "static_type_checking",
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                "points": 0,
                "status": "missed",
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              },
              {
                "key": "reproducible_environment",
                "name": "Reproducible environment",
                "detail": "Dockerfile",
                "points": 10,
                "status": "met",
                "details": [
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                    "code": "file_list",
                    "params": {
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                  }
                ],
                "max_points": 10
              },
              {
                "key": "demonstrated_agent_practice",
                "name": "Demonstrated agent practice",
                "detail": "no data",
                "points": 0,
                "status": "excluded",
                "details": [
                  {
                    "code": "no_data",
                    "params": {}
                  }
                ],
                "max_points": 10
              },
              {
                "key": "automated_maintenance",
                "name": "Automated maintenance",
                "detail": "no data",
                "points": 0,
                "status": "excluded",
                "details": [
                  {
                    "code": "no_data",
                    "params": {}
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                ],
                "max_points": 8
              },
              {
                "key": "openssf_scorecard_pinned_dependencies",
                "name": "OpenSSF Scorecard: Pinned-Dependencies",
                "detail": "OpenSSF Scorecard unavailable",
                "points": 0,
                "status": "excluded",
                "details": [
                  {
                    "code": "no_data",
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                ],
                "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": 211882,
              "source_files_sampled": 139,
              "oversized_source_files": 3
            },
            "components": [
              {
                "key": "type_checkable_code",
                "name": "Type-checkable code",
                "detail": "Python without a type-check config",
                "points": 0,
                "status": "missed",
                "details": [
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                    "code": "no_typecheck_config_language",
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                  }
                ],
                "max_points": 45
              },
              {
                "key": "manageable_file_sizes",
                "name": "Manageable file sizes",
                "detail": "3/139 source files over 60KB",
                "points": 53.8,
                "status": "partial",
                "details": [
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                    "code": "oversized_source_files",
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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": [
    "No resolved dependencies carried a version and a supported ecosystem",
    "OpenSSF Scorecard timed out after 240s; skipping Scorecard checks"
  ],
  "report_type": "repository",
  "generated_at": "2026-07-21T02:28:48.778865Z",
  "schema_version": "0.16.0",
  "badge_url": "https://raw.githubusercontent.com/inspect-software/badges/main/v1/s/savoirfairelinux/num2words.svg",
  "full_name": "savoirfairelinux/num2words",
  "license_state": "standard",
  "license_spdx": "LGPL-2.1"
}

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 v0.16.0 — metodología completa · wiki de métricas.

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