Registro público
Informe de salud del softwareesquema 0.27.0 · métricas 1.13.0 · 2026-07-25 05:59 UTC

Clinical-Genomics / preClinVar

A ClinVar API submission helper written in FastAPI

PythonMIT★ 1 estrella⑂ 0 forksdesde jun 2022Ver en GitHub ↗

Clinical-Genomics/preClinVar tiene un índice de salud de 47 sobre 100, lo que lo sitúa en la banda En riesgo. Su puntuación más alta es Sustainability & Governance (52/100) y la más baja, AI Readiness (29/100). Se actualizó por última vez hace 136 días. Una sola persona concentra la mayor parte del trabajo reciente.

47
global / 100
En riesgo

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.

47
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

Clinical GenomicsOrganización
96 seguidores123 repositorios públicosdesde ene 2014

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?

47En riesgo · 22% del índice global
Cómo se puntúa
9.9/36Recencia de push — último push hace 136 días
1.4/36Cadencia de commits — 2/52 semanas con commits
11.9/18Volumen de commits — 20 commits en el último año
0/10OpenSSF Scorecard: Maintained — 0 commit(s) and 0 issue activity found in the last 90 days -- score normalized to 0
Datos de entrada utilizados
commits_last_year20
human_commit_share1
days_since_last_push136
active_weeks_last_year2
Cómo se puntúa
27/27Publica versiones — 19 versiones publicadas
27/36Recencia de las versiones — última versión hace 136 días
19.8/27Cadencia de publicación — una versión cada ~83,9 días
0/10OpenSSF Scorecard: Signed-Releases — sin datos
Datos de entrada utilizados
releases_count19
latest_release_tagv2.9
releases_from_tagsno
days_since_latest_release136
mean_days_between_releases83,9
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?

36En riesgo · 18% del índice global
Cómo se puntúa
0/60Estrellas — 1 estrellas
0/25Forks — 0 forks
0/15Observadores — 1 observadores
Datos de entrada utilizados
forks0
stars1
watchers1
growth_stateunverified
growth_factor_pct100
growth_unverified_reasonno_history
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?

52Moderado · 24% del índice global
Cómo se puntúa
9/54Factor bus — la mitad de los commits recae en 1 contribuyente(s)
0/22.5Distribución de commits — el principal contribuyente firma el 100% de los commits
1.4/13.5Amplitud de contribuyentes — 1 contribuyentes
6/10OpenSSF Scorecard: Contributors — project has 2 contributing companies or organizations -- score normalized to 6
Datos de entrada utilizados
bus_factor1
contributors_sampled1
top_contributor_share1
Cómo se puntúa
40.7/46.8Resolución de issues — 87% de issues cerradas
35.4/38.3Aceptación de PR — 88/95 PR decididos fusionados
1.5/15OpenSSF Scorecard: Code-Review — Found 1/8 approved changesets -- score normalized to 1
Datos de entrada utilizados
merged_prs88
open_issues9
closed_issues60
issue_closed_ratio0,87
closed_unmerged_prs7
Cómo se puntúa
30/30Respaldo de la propiedad — propiedad de una organización
0/20Dominio verificado
14.3/25Alcance del propietario — 96 seguidores de Clinical-Genomics
25/25Trayectoria — 123 repos públicos, cuenta de ~12 años
Datos de entrada utilizados
followers96
owner_typeOrganization
is_verified
owner_loginClinical-Genomics
public_repos123
account_age_days4573

Calidad de Ingeniería

¿Existen unas prácticas mínimas de ingeniería y documentación?

52Moderado · 20% del índice global
Cómo se puntúa
24/24Flujos de trabajo de CI — 8 flujo(s) de trabajo
24/24Pruebas presentes
0/16Configuración de linter
0/9.6Hooks de pre-commit
0/6.4.editorconfig
6/20OpenSSF Scorecard: CI-Tests — 3 out of 8 merged PRs checked by a CI test -- score normalized to 3
Datos de entrada utilizados
has_ci
has_tests
has_editorconfigno
has_linter_configno
has_precommit_configno

Documentación

50Moderado
Cómo se puntúa
30/30README
0/25Directorio de documentación
0/15Sitio de documentación / página del proyecto
10/10Descripción del repositorio
0/10Topics
10/10Wiki
Datos de entrada utilizados
topics
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?

48En riesgo · 16% del índice global
Cómo se puntúa
7.5/7.5Binary-Artifacts — no binaries found in the repo
0/7.5Branch-Protection — sin datos
0.8/2.5CI-Tests — 3 out of 8 merged PRs checked by a CI test -- score normalized to 3
0/2.5CII-Best-Practices — no effort to earn an OpenSSF best practices badge detected
0.8/7.5Code-Review — Found 1/8 approved changesets -- score normalized to 1
1.5/2.5Contributors — project has 2 contributing companies or organizations -- score normalized to 6
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
0/7.5Maintained — 0 commit(s) and 0 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
2/5Security-Policy — security policy file detected
0/7.5Signed-Releases — sin datos
0/7.5Token-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
Excluidos de la puntuación (sin datos o no aplicable): branch_protection, signed_releases. Los pesos restantes se han renormalizado.
Cómo se puntúa
6.2/35Dependencias directas libres de avisos conocidos — 5 afectados: python-multipart 0.0.20 (high 8.6), setuptools 71.1.0 (high 8.8), urllib3 2.2.3 (high 7.5), +2 más
0/25Dependencias indirectas libres de avisos conocidos — el conjunto transitivo no es separable de las dependencias de desarrollo y prueba en este alcance
22.7/40Sin avisos pendientes — 4 paquete(s) con avisos sin atender más allá de 90 días; el más antiguo publicado hace 433 días
Datos de entrada utilizados
sourceosv
advisories51
affected_packages8
assessed_packages41
unassessed_packages0
affected_by_severityhigh 5, moderate 3
direct_affected_packages5
Excluidos de la puntuación (sin datos o no aplicable): Dependencias indirectas libres de avisos conocidos. Los pesos restantes se han renormalizado. Se cotejaron 41 dependencias resueltas con OSV. Este repositorio no publica ningún paquete que el índice resuelva, por lo que se evaluó en su lugar el grafo de dependencias del repositorio. Ese grafo mezcla fijaciones de desarrollo y prueba con las dependencias distribuidas, de modo que solo se puntúan las dependencias declaradas en tiempo de ejecución; los hallazgos transitivos se informan como contexto y quedan excluidos de la puntuación. 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.

29Crítico · 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)
12.8/40Historial de commits legible — 24 de 100 commits humanos declaran su intención (asunto estructurado o cuerpo explicativo)
Datos de entrada utilizados
has_llms_txtno
legible_history_share0,24
agent_instruction_files
agent_instruction_max_bytes
Cómo se puntúa
0/18Arranque con un solo comando
22/22Pruebas automatizadas
0/11Configuración de lint / formato
0/11Verificación estática de tipos
10/10Entorno reproducible — Dockerfile, lockfile
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
lockfilespoetry.lock
has_dockerfile
typed_languageno
bootstrap_files
has_devcontainerno
has_linter_configno
typecheck_configs
agent_commit_share0
toolchain_manifests
dependency_bot_commit_share0
Cómo se puntúa
0/45Código verificable por tipos — Python sin configuración de verificación de tipos
55/55Tamaños de archivo manejables — 0/13 archivos fuente de más de 60 KB
Datos de entrada utilizados
primary_languagePython
largest_source_bytes16.789
source_files_sampled13
oversized_source_files0

Datos clave

1estrellas de GitHub
1contribuidores
20commits en los últimos 12 meses
136días desde el último push
19versiones publicadas
1factor bus
9issues abiertas
PyPIecosistemas de paquetes

Advertencias de recopilación de datos

  • Star history unavailable: GitHub GraphQL error: Resource not accessible by personal access token
  • Could not fetch pypi package 'preClinVar' from its registry

Más detalle

OpenSSF Scorecard 5.0 / 10
5.0agregado

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 · 2026-07-25 05:59 UTC

10Binary-Artifactsno binaries found in the repo
n/dBranch-Protectioninternal error: error during branchesHandler.setup: internal error: some github tokens can't read classic branch protection rules: https://github.com/ossf/scorecard-action/blob/main/docs/authentication/fine-grained-auth-token.md
3CI-Tests3 out of 8 merged PRs checked by a CI test -- score normalized to 3
0CII-Best-Practicesno effort to earn an OpenSSF best practices badge detected
1Code-ReviewFound 1/8 approved changesets -- score normalized to 1
6Contributorsproject has 2 contributing companies or organizations -- score normalized to 6
10Dangerous-Workflowno dangerous workflow patterns detected
10Dependency-Update-Toolupdate tool detected
0Fuzzingproject is not fuzzed
10Licenselicense file detected
0Maintained0 commit(s) and 0 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
4Security-Policysecurity policy file detected
n/dSigned-Releasesno releases found
0Token-Permissionsdetected GitHub workflow tokens with excessive permissions
10Vulnerabilities0 existing vulnerabilities detected
Dependencias directas 16
RegistroPaqueteRestricción de versiónManifiesto
PyPIfastapi^0.115.2pyproject.toml
PyPIuvicorn^0.18.2pyproject.toml
PyPIgunicorn^23.0.0pyproject.toml
PyPIisort^5.10.1pyproject.toml
PyPIpython-multipart0.0.20pyproject.toml
PyPIjsonschema^4.21.1pyproject.toml
PyPIresponses^0.21.0pyproject.toml
PyPIhttpx^0.27.0pyproject.toml
PyPIsetuptools^71.0.1pyproject.toml
PyPIimportlib-resources^6.4.0pyproject.toml
PyPIzipp^3.20.2pyproject.toml
PyPIurllib3^2.2.3pyproject.toml
PyPIrequests^2.32.3pyproject.toml
PyPIidna^3.10pyproject.toml
PyPIplatformdirs^4.3.6pyproject.toml
PyPIcertifi2024.07.04pyproject.toml
Todas las dependencias 41

Conjunto completo de dependencias resueltas según el grafo de dependencias de GitHub: 16 paquetes directos y 25 indirectos (transitivos). El cierre transitivo es completo cuando el repositorio incluye un lockfile.

RegistroPaqueteVersiónRelación
PyPIcertifi2024.7.4directa
PyPIfastapi0.115.14directa
PyPIgunicorn23.0.0directa
PyPIhttpx0.27.2directa
PyPIidna3.11directa
PyPIimportlib-resources6.4.5directa
PyPIisort5.13.2directa
PyPIjsonschema4.23.0directa
PyPIplatformdirs4.3.6directa
PyPIpython-multipart0.0.20directa
PyPIrequests2.32.4directa
PyPIresponses0.21.0directa
PyPIsetuptools71.1.0directa
PyPIurllib32.2.3directa
PyPIuvicorn0.18.3directa
PyPIzipp3.20.2directa
PyPIannotated-types0.7.0indirecta
PyPIanyio4.5.2indirecta
PyPIattrs25.3.0indirecta
PyPIcharset-normalizer3.4.5indirecta
PyPIclick8.1.8indirecta
PyPIcolorama0.4.6indirecta
PyPIcoverage7.6.1indirecta
PyPIexceptiongroup1.3.1indirecta
PyPIh110.16.0indirecta
PyPIhttpcore1.0.9indirecta
PyPIiniconfig2.1.0indirecta
PyPIjsonschema-specifications2023.12.1indirecta
PyPIpackaging26.0indirecta
PyPIpkgutil-resolve-name1.3.10indirecta
PyPIpluggy1.5.0indirecta
PyPIpydantic2.10.6indirecta
PyPIpydantic-core2.27.2indirecta
PyPIpytest7.4.4indirecta
PyPIpytest-cov3.0.0indirecta
PyPIreferencing0.35.1indirecta
PyPIrpds-py0.20.1indirecta
PyPIsniffio1.3.1indirecta
PyPIstarlette0.44.0indirecta
PyPItomli2.4.0indirecta
PyPItyping-extensions4.13.2indirecta
Avisos de dependencias 8

Este repositorio no publica ningún paquete que el índice resuelva, así que se evaluó su propio grafo de dependencias — 41 paquetes, que incluyen también fijaciones de desarrollo y prueba que nunca se distribuyen: 8 tienen avisos conocidos, de los cuales 5 son directas.

PaqueteVersiónRelaciónGravedadAvisosCorregido en
python-multipart0.0.20directaalta140.0.31
setuptools71.1.0directaalta483.0.0
urllib32.2.3directaalta122.7.0
click8.1.8indirectaalta18.3.3
starlette0.44.0indirectaalta141.3.1
idna3.11directamoderada23.15
requests2.32.4directamoderada22.33.0
pytest7.4.4indirectamoderada29.0.3

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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        ],
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      {
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          {
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              {
                "key": "issue_template",
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          {
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                "max_points": 46.75
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              {
                "key": "pr_acceptance",
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                    "code": "decided_prs_merged",
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                "max_points": 38.25
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              {
                "key": "openssf_scorecard_code_review",
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            "inputs": {
              "followers": 96,
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              "is_verified": null,
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                "key": "ownership_backing",
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                "max_points": 30
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                "key": "verified_domain",
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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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                    "code": "account_age_years",
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        ],
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        "key": "engineering",
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        "name": "Engineering Quality",
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        "metrics": [
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            "key": "engineering_practices",
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                "key": "ci_workflows",
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                "key": "tests_present",
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              {
                "key": "linter_config",
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                "key": "openssf_scorecard_ci_tests",
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          {
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        ],
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        "key": "security",
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        "weight": 0.16,
        "metrics": [
          {
            "key": "security_posture",
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                "code": "weights_renormalized",
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                "key": "branch_protection",
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                "key": "code_review",
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                "key": "contributors",
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                "key": "dangerous_workflow",
                "name": "Dangerous-Workflow",
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                "status": "met",
                "details": [],
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              },
              {
                "key": "dependency_update_tool",
                "name": "Dependency-Update-Tool",
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                "status": "met",
                "details": [],
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              },
              {
                "key": "fuzzing",
                "name": "Fuzzing",
                "detail": "project is not fuzzed",
                "points": 0,
                "status": "missed",
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              },
              {
                "key": "license",
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                "detail": "license file detected",
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                "status": "met",
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              {
                "key": "maintained",
                "name": "Maintained",
                "detail": "0 commit(s) and 0 issue activity found in the last 90 days -- score normalized to 0",
                "points": 0,
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              {
                "key": "packaging",
                "name": "Packaging",
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                "details": [],
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              },
              {
                "key": "pinned_dependencies",
                "name": "Pinned-Dependencies",
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                "status": "missed",
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              },
              {
                "key": "sast",
                "name": "SAST",
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                "status": "missed",
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                "key": "security_policy",
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                "details": [],
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              },
              {
                "key": "signed_releases",
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                "status": "excluded",
                "details": [
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                    "code": "no_data",
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                ],
                "max_points": 7.5
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                "key": "token_permissions",
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                "detail": "detected GitHub workflow tokens with excessive permissions",
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                "status": "missed",
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              {
                "key": "vulnerabilities",
                "name": "Vulnerabilities",
                "detail": "0 existing vulnerabilities detected",
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                "max_points": 7.5
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            ]
          },
          {
            "key": "dependency_advisories",
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            "notes": [
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                "code": "excluded_no_data",
                "params": {
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              {
                "code": "weights_renormalized",
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              {
                "code": "advisories_scope_repository",
                "params": {
                  "assessed": 41
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              },
              {
                "code": "advisories_repo_graph_caveat",
                "params": {}
              },
              {
                "code": "advisories_reachability",
                "params": {}
              }
            ],
            "value": 39,
            "inputs": {
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              "affected_packages": 8,
              "assessed_packages": 41,
              "unassessed_packages": 0,
              "affected_by_severity": "high 5, moderate 3",
              "direct_affected_packages": 5
            },
            "components": [
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                "key": "direct_dependencies_free_of_known_advisories",
                "name": "Direct dependencies free of known advisories",
                "detail": "5 affected: python-multipart 0.0.20 (high 8.6), setuptools 71.1.0 (high 8.8), urllib3 2.2.3 (high 7.5), +2 more",
                "points": 6.2,
                "status": "partial",
                "details": [
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                    "code": "advisories_affected",
                    "params": {
                      "count": 5,
                      "packages": "python-multipart 0.0.20 (high 8.6), setuptools 71.1.0 (high 8.8), urllib3 2.2.3 (high 7.5)"
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                  },
                  {
                    "code": "advisories_affected_more",
                    "params": {
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                ],
                "max_points": 35
              },
              {
                "key": "indirect_dependencies_free_of_known_advisories",
                "name": "Indirect dependencies free of known advisories",
                "detail": "transitive set not separable from development and test dependencies in this scope",
                "points": 0,
                "status": "excluded",
                "details": [
                  {
                    "code": "advisories_scope_not_separable",
                    "params": {}
                  }
                ],
                "max_points": 25
              },
              {
                "key": "no_advisories_left_outstanding",
                "name": "No advisories left outstanding",
                "detail": "4 advisory-carrying package(s) unaddressed past 90 days; oldest published 433 days ago",
                "points": 22.7,
                "status": "partial",
                "details": [
                  {
                    "code": "advisories_stale",
                    "params": {
                      "days": 90,
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                      "oldest": 433
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                  }
                ],
                "max_points": 40
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            ]
          },
          {
            "key": "malicious_dependencies",
            "band": "excellent",
            "name": "Malicious dependencies",
            "note": null,
            "notes": [],
            "value": 100,
            "inputs": {
              "source": "osv",
              "meaning": "reported as a malicious package by the OpenSSF corpus; the remedy is removal or moving off the compromised name, never an upgrade of the same artifact. Versions the registry has since pulled are listed but not scored",
              "packages": [],
              "red_flag": false,
              "assessed_packages": 41,
              "malicious_packages": 0,
              "direct_malicious_packages": 0,
              "withdrawn_malicious_packages": 0,
              "installable_malicious_packages": 0
            },
            "components": [
              {
                "key": "no_dependency_reported_as_a_malicious_package",
                "name": "No dependency reported as a malicious package",
                "detail": "no dependency is reported as a malicious package",
                "points": 100,
                "status": "met",
                "details": [
                  {
                    "code": "no_malicious_dependencies",
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                ],
                "max_points": 100
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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"
              ],
              "review_only_matches": 0,
              "assessed_self_published_locations": 3
            },
            "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": "critical",
        "name": "AI Readiness",
        "value": 29,
        "weight": 0,
        "metrics": [
          {
            "key": "ai_agent_context",
            "band": "critical",
            "name": "Agent context & guidance",
            "note": null,
            "notes": [],
            "value": 13,
            "inputs": {
              "has_llms_txt": false,
              "legible_history_share": 0.24,
              "agent_instruction_files": [],
              "agent_instruction_max_bytes": null
            },
            "components": [
              {
                "key": "agent_instructions",
                "name": "Agent instructions",
                "detail": "no CLAUDE.md / AGENTS.md / editor rules",
                "points": 0,
                "status": "missed",
                "details": [
                  {
                    "code": "no_agent_instructions",
                    "params": {}
                  }
                ],
                "max_points": 45
              },
              {
                "key": "machine_readable_docs_llms_txt",
                "name": "Machine-readable docs (llms.txt)",
                "detail": null,
                "points": 0,
                "status": "missed",
                "details": [],
                "max_points": 15
              },
              {
                "key": "legible_commit_history",
                "name": "Legible commit history",
                "detail": "24 of 100 human commits state their intent (structured subject or explanatory body)",
                "points": 12.8,
                "status": "partial",
                "details": [
                  {
                    "code": "legible_history",
                    "params": {
                      "legible": 24,
                      "sampled": 100
                    }
                  }
                ],
                "max_points": 40
              }
            ]
          },
          {
            "key": "ai_verify_loop",
            "band": "at_risk",
            "name": "Verify loop (build / test / typecheck)",
            "note": null,
            "notes": [],
            "value": 32,
            "inputs": {
              "has_nix": false,
              "has_tests": true,
              "lockfiles": [
                "poetry.lock"
              ],
              "has_dockerfile": true,
              "typed_language": false,
              "bootstrap_files": [],
              "has_devcontainer": false,
              "has_linter_config": false,
              "typecheck_configs": [],
              "agent_commit_share": 0,
              "toolchain_manifests": [],
              "dependency_bot_commit_share": 0
            },
            "components": [
              {
                "key": "one_command_bootstrap",
                "name": "One-command bootstrap",
                "detail": null,
                "points": 0,
                "status": "missed",
                "details": [],
                "max_points": 18
              },
              {
                "key": "automated_tests",
                "name": "Automated tests",
                "detail": null,
                "points": 22,
                "status": "met",
                "details": [],
                "max_points": 22
              },
              {
                "key": "lint_format_config",
                "name": "Lint / format config",
                "detail": null,
                "points": 0,
                "status": "missed",
                "details": [],
                "max_points": 11
              },
              {
                "key": "static_type_checking",
                "name": "Static type checking",
                "detail": null,
                "points": 0,
                "status": "missed",
                "details": [],
                "max_points": 11
              },
              {
                "key": "reproducible_environment",
                "name": "Reproducible environment",
                "detail": "Dockerfile, lockfile",
                "points": 10,
                "status": "met",
                "details": [
                  {
                    "code": "file_list",
                    "params": {
                      "files": "Dockerfile, lockfile"
                    }
                  }
                ],
                "max_points": 10
              },
              {
                "key": "demonstrated_agent_practice",
                "name": "Demonstrated agent practice",
                "detail": "no agent-authored commits among the last 100",
                "points": 0,
                "status": "missed",
                "details": [
                  {
                    "code": "no_agent_authored_commits",
                    "params": {
                      "sampled": 100
                    }
                  }
                ],
                "max_points": 10
              },
              {
                "key": "automated_maintenance",
                "name": "Automated maintenance",
                "detail": "no automated dependency updates observed",
                "points": 0,
                "status": "missed",
                "details": [
                  {
                    "code": "no_dependency_automation",
                    "params": {}
                  }
                ],
                "max_points": 8
              },
              {
                "key": "openssf_scorecard_pinned_dependencies",
                "name": "OpenSSF Scorecard: Pinned-Dependencies",
                "detail": "dependency not pinned by hash detected -- score normalized to 0",
                "points": 0,
                "status": "missed",
                "details": [],
                "max_points": 10
              }
            ]
          },
          {
            "key": "ai_code_legibility",
            "band": "moderate",
            "name": "Code legibility for models",
            "note": null,
            "notes": [],
            "value": 55,
            "inputs": {
              "primary_language": "Python",
              "largest_source_bytes": 16789,
              "source_files_sampled": 13,
              "oversized_source_files": 0
            },
            "components": [
              {
                "key": "type_checkable_code",
                "name": "Type-checkable code",
                "detail": "Python without a type-check config",
                "points": 0,
                "status": "missed",
                "details": [
                  {
                    "code": "no_typecheck_config_language",
                    "params": {
                      "language": "Python"
                    }
                  }
                ],
                "max_points": 45
              },
              {
                "key": "manageable_file_sizes",
                "name": "Manageable file sizes",
                "detail": "0/13 source files over 60KB",
                "points": 55,
                "status": "met",
                "details": [
                  {
                    "code": "oversized_source_files",
                    "params": {
                      "kb": 60,
                      "sampled": 13,
                      "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": [
    "Star history unavailable: GitHub GraphQL error: Resource not accessible by personal access token",
    "Could not fetch pypi package 'preClinVar' from its registry"
  ],
  "report_type": "repository",
  "generated_at": "2026-07-25T05:59:50.983947Z",
  "schema_version": "0.27.0",
  "badge_url": "https://raw.githubusercontent.com/inspect-software/badges/main/v1/c/Clinical-Genomics/preClinVar.svg",
  "full_name": "Clinical-Genomics/preClinVar",
  "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 v0.27.0 — metodología completa · wiki de métricas.

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