Registro público
Informe de salud del softwareesquema 0.27.0 · métricas 1.13.0 · 2026-07-25 11:56 UTC

bp / resqpy

Python API for working with RESQML models

PythonMIT★ 66 estrellas⑂ 18 forksdesde abr 2021Ver en GitHub ↗

bp/resqpy tiene un índice de salud de 74 sobre 100, lo que lo sitúa en la banda Bueno. Su puntuación más alta es Engineering Quality (92/100) y la más baja, AI Readiness (39/100). Se actualizó por última vez hace 14 días. Una sola persona concentra la mayor parte del trabajo reciente.

74
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.

74
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

BPOrganización
91 seguidores17 repositorios públicosdesde abr 2009

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

Ecosistemas de paquetes

RegistroPaqueteVersiónDescargas / mesVersionesÚltima publicaciónEtiquetas
PyPIresqpy5.2.010.878219hace 33 díasresqml

Métricas por categoría

Vitalidad

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

75Bueno · 22% del índice global
Cómo se puntúa
28.8/36Recencia de push — último push hace 14 días
7.6/36Cadencia de commits — 11/52 semanas con commits
17.1/18Volumen de commits — 80 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_year80
human_commit_share0,95
days_since_last_push14
active_weeks_last_year11
Cómo se puntúa
27/27Publica versiones — 100 versiones publicadas
36/36Recencia de las versiones — última versión hace 32 días
19.8/27Cadencia de publicación — una versión cada ~58 días
0/10OpenSSF Scorecard: Signed-Releases — sin datos
Datos de entrada utilizados
releases_count100
latest_release_tagv5.2.0
releases_from_tagsno
days_since_latest_release32
mean_days_between_releases58
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?

59Moderado · 18% del índice global
Cómo se puntúa
29.4/60Estrellas — 66 estrellas
10.3/25Forks — 18 forks
5/15Observadores — 9 observadores
Datos de entrada utilizados
forks18
stars66
watchers9
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
0/6.3Plantilla de PR
Datos de entrada utilizados
has_readme
has_license
has_contributing
has_issue_templateno
has_code_of_conductno
has_pull_request_templateno
Cómo se puntúa
53.8/80Descargas mensuales — 10.878 descargas/mes en pypi
0/20Dependientes en el registro — no lo informa este ecosistema
Datos de entrada utilizados
packagesresqpy
dependents
ecosystemspypi
total_downloads
monthly_downloads10.878
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?

68Moderado · 24% del índice global
Cómo se puntúa
9/54Factor bus — la mitad de los commits recae en 1 contribuyente(s)
9.4/22.5Distribución de commits — el principal contribuyente firma el 58% de los commits
13.5/13.5Amplitud de contribuyentes — 20 contribuyentes
3/10OpenSSF Scorecard: Contributors — project has 1 contributing companies or organizations -- score normalized to 3
Datos de entrada utilizados
bus_factor1
contributors_sampled20
top_contributor_share0,582
Cómo se puntúa
36.8/46.8Resolución de issues — 79% de issues cerradas
36.5/38.3Aceptación de PR — 720/754 PR decididos fusionados
12/15OpenSSF Scorecard: Code-Review — Found 9/11 approved changesets -- score normalized to 8
Datos de entrada utilizados
merged_prs720
open_issues38
closed_issues140
issue_closed_ratio0,787
closed_unmerged_prs34
Cómo se puntúa
30/30Respaldo de la propiedad — propiedad de una organización
0/20Dominio verificado
14.1/25Alcance del propietario — 91 seguidores de bp
21.1/25Trayectoria — 17 repos públicos, cuenta de ~17 años
Datos de entrada utilizados
followers91
owner_typeOrganization
is_verified
owner_loginbp
public_repos17
account_age_days6311
Cómo se puntúa
25/25Publicado y resoluble — 1 paquete(s) en pypi
35/35Recencia de publicación — última publicación hace 33 días
20/20Historial de versiones — 219 versiones en el registro
20/20No obsoleto — activo, ni obsoleto ni retirado
Datos de entrada utilizados
packagesresqpy
ecosystemspypi
any_deprecatedno
min_days_since_publish33

Calidad de Ingeniería

¿Existen unas prácticas mínimas de ingeniería y documentación?

92Excelente · 20% del índice global
Cómo se puntúa
24/24Flujos de trabajo de CI — 4 flujo(s) de trabajo
24/24Pruebas presentes
16/16Configuración de linter
9.6/9.6Hooks de pre-commit
0/6.4.editorconfig
20/20OpenSSF Scorecard: CI-Tests — 16 out of 16 merged PRs checked by a CI test -- score normalized to 10
Datos de entrada utilizados
has_ci
has_tests
has_editorconfigno
has_linter_config
has_precommit_config

Documentación

90Excelente
Cómo se puntúa
30/30README
25/25Directorio de documentación
15/15Sitio de documentación / página del proyecto — https://resqpy.readthedocs.io/en/latest/
10/10Descripción del repositorio
0/10Topics
10/10Wiki
Datos de entrada utilizados
topics
has_wiki
homepagehttps://resqpy.readthedocs.io/en/latest/
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?

74Bueno · 16% del índice global
Cómo se puntúa
7.5/7.5Binary-Artifacts — no binaries found in the repo
0/7.5Branch-Protection — sin datos
2.5/2.5CI-Tests — 16 out of 16 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 9/11 approved changesets -- score normalized to 8
0.8/2.5Contributors — project has 1 contributing companies or organizations -- score normalized to 3
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
3.5/5SAST — SAST tool detected but not run on all commits
0/5Security-Policy — security policy file not detected
0/7.5Signed-Releases — sin datos
0/7.5Token-Permissions — detected GitHub workflow tokens with excessive permissions
7.5/7.5Vulnerabilities — 0 existing vulnerabilities detected
Datos de entrada utilizados
sourceopenssf_scorecard
checks_evaluated16
scorecard_versionv5.5.0
checks_inconclusive2
scorecard_aggregate6,7
Excluidos de la puntuación (sin datos o no aplicable): branch_protection, signed_releases. Los pesos restantes se han renormalizado.
Cómo se puntúa
35/35Dependencias directas libres de avisos conocidos — ninguna dependencia directa tiene un aviso conocido
25/25Dependencias indirectas libres de avisos conocidos — ninguna dependencia indirecta tiene un aviso conocido
0/40Sin avisos pendientes — ningún aviso tiene fecha de publicación
Datos de entrada utilizados
sourceosv
advisories0
affected_packages0
assessed_packages11
unassessed_packages0
affected_by_severitynone
direct_affected_packages0
Excluidos de la puntuación (sin datos o no aplicable): Sin avisos pendientes. Los pesos restantes se han renormalizado. Se cotejó el cierre de dependencias en tiempo de ejecución de pypi:resqpy@5.2.0 —lo que arrastra la instalación del paquete publicado—: 11 paquetes. No se analiza la alcanzabilidad.

Preparación para IA

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

39En 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)
17.4/40Historial de commits legible — 31 de 95 commits humanos declaran su intención (asunto estructurado o cuerpo explicativo)
Datos de entrada utilizados
has_llms_txtno
legible_history_share0,326
agent_instruction_files
agent_instruction_max_bytes
Cómo se puntúa
0/18Arranque con un solo comando
22/22Pruebas automatizadas
11/11Configuración de lint / formato
0/11Verificación estática de tipos
10/10Entorno reproducible — lockfile
0/10Práctica demostrada con agentes — ningún commit con autoría de agente entre los últimos 100
8/8Mantenimiento automatizado — 2 de los últimos 100 commits son 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_dockerfileno
typed_languageno
bootstrap_files
has_devcontainerno
has_linter_config
typecheck_configs
agent_commit_share0
toolchain_manifests
dependency_bot_commit_share0,02
Cómo se puntúa
0/45Código verificable por tipos — Python sin configuración de verificación de tipos
52.2/55Tamaños de archivo manejables — 14/278 archivos fuente de más de 60 KB
Datos de entrada utilizados
primary_languagePython
largest_source_bytes192.863
source_files_sampled278
oversized_source_files14

Datos clave

66estrellas de GitHub
20contribuidores
80commits en los últimos 12 meses
14días desde el último push
100versiones publicadas
1factor bus
38issues abiertas
PyPIecosistemas de paquetes

Advertencias de recopilación de datos

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

Más detalle

Historial de estrellas y forks 0 ★ / 18 ⇿
0Estrellas
18Forks
98Versiones

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

0481216201842021-062023-112026-05
Mayor 1Menor 11Parche 86

Cada punto abarca 5 días.

OpenSSF Scorecard 6.7 / 10
6.7agregado

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 11:56 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
10CI-Tests16 out of 16 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 9/11 approved changesets -- score normalized to 8
3Contributorsproject has 1 contributing companies or organizations -- score normalized to 3
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
7SASTSAST tool detected but not run on all commits
0Security-Policysecurity policy file not detected
n/dSigned-Releasesno releases found
0Token-Permissionsdetected GitHub workflow tokens with excessive permissions
10Vulnerabilities0 existing vulnerabilities detected
Dependencias directas 8
RegistroPaqueteRestricción de versiónManifiesto
PyPInumpy>=1.26pyproject.toml
PyPIpandas>=2.2pyproject.toml
PyPIh5py>=3.7pyproject.toml
PyPIlxml>=5.1pyproject.toml
PyPIlasio>=0.31pyproject.toml
PyPIscipy>=1.9pyproject.toml
PyPInumba>=0.59pyproject.toml
PyPIjoblib>=1.2pyproject.toml
Todas las dependencias 77

Conjunto completo de dependencias resueltas según el grafo de dependencias de GitHub: 8 paquetes directos y 69 indirectos (transitivos). El cierre transitivo es completo cuando el repositorio incluye un lockfile.

RegistroPaqueteVersiónRelación
PyPIh5py3.16.0directa
PyPIjoblib1.5.3directa
PyPIlasio0.32directa
PyPIlxml6.1.1directa
PyPInumba0.66.0directa
PyPInumpy2.2.6directa
PyPIpandas2.3.3directa
PyPIscipy1.15.3directa
PyPIalabaster1.0.0indirecta
PyPIast-serialize0.6.0indirecta
PyPIautoclasstoc1.7.0indirecta
PyPIbabel2.18.0indirecta
PyPIbeautifulsoup44.15.0indirecta
PyPIcertifi2026.6.17indirecta
PyPIcfgv3.5.0indirecta
PyPIcharset-normalizer3.4.9indirecta
PyPIcolorama0.4.6indirecta
PyPIcoverage7.15.0indirecta
PyPIcssselect1.4.0indirecta
PyPIdistlib0.4.3indirecta
PyPIdocutils0.22.4indirecta
PyPIexceptiongroup1.3.1indirecta
PyPIfilelock3.29.7indirecta
PyPIh5py-stubs0.1.2indirecta
PyPIidentify2.6.19indirecta
PyPIidna3.18indirecta
PyPIimagesize2.0.0indirecta
PyPIiniconfig2.3.0indirecta
PyPIjinja23.1.6indirecta
PyPIlibrt0.13.0indirecta
PyPIllvmlite0.48.0indirecta
PyPImarkupsafe3.0.3indirecta
PyPImore-itertools11.1.0indirecta
PyPImypy2.2.0indirecta
PyPImypy-extensions1.1.0indirecta
PyPInodeenv1.10.0indirecta
PyPInumpy-typing-compat20251206.2.4indirecta
PyPIoptype0.17.1indirecta
PyPIpackaging26.2indirecta
PyPIpandas-stubs3.0.3.260530indirecta
PyPIpathspec1.1.1indirecta
PyPIplatformdirs4.10.0indirecta
PyPIpluggy1.6.0indirecta
PyPIpre-commit4.6.0indirecta
PyPIpygments2.20.0indirecta
PyPIpytest9.1.1indirecta
PyPIpytest-cov7.1.0indirecta
PyPIpytest-mock3.15.1indirecta
PyPIpython-dateutil2.9.0.post0indirecta
PyPIpython-discovery1.4.4indirecta
PyPIpytz2026.2indirecta
PyPIpyyaml6.0.3indirecta
PyPIrequests2.34.2indirecta
PyPIroman-numerals4.1.0indirecta
PyPIruff0.15.21indirecta
PyPIscipy-stubs1.17.1.5indirecta
PyPIsix1.17.0indirecta
PyPIsnowballstemmer3.1.1indirecta
PyPIsoupsieve2.8.4indirecta
PyPIsphinx9.1.0indirecta
PyPIsphinx-rtd-theme3.1.0indirecta
PyPIsphinxcontrib-applehelp2.0.0indirecta
PyPIsphinxcontrib-devhelp2.0.0indirecta
PyPIsphinxcontrib-htmlhelp2.1.0indirecta
PyPIsphinxcontrib-jquery4.1indirecta
PyPIsphinxcontrib-jsmath1.0.1indirecta
PyPIsphinxcontrib-qthelp2.0.0indirecta
PyPIsphinxcontrib-serializinghtml2.0.0indirecta
PyPItomli2.4.1indirecta
PyPItypes-html5lib1.1.11.20260518indirecta
PyPItypes-lxml2026.2.16indirecta
PyPItypes-webencodings0.5.0.20260408indirecta
PyPItyping-extensions4.16.0indirecta
PyPItzdata2026.3indirecta
PyPIurllib32.7.0indirecta
PyPIvirtualenv21.6.0indirecta
PyPIyapf0.43.0indirecta
Avisos de dependencias 0

Instalar pypi:resqpy@5.2.0 arrastra 11 paquetes, directos y transitivos: 0 tienen avisos conocidos, de los cuales 0 son dependencias directas.

Ningún aviso conocido afecta a las dependencias evaluadas.

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

Informe JSON sin procesar legible por máquina
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        {
          "tag": "v5.1.6",
          "kind": "patch",
          "published_at": "2025-01-16T09:31:57Z"
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        {
          "tag": "v5.1.5",
          "kind": "patch",
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        {
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          "tag": "v5.1.0",
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          "published_at": "2025-01-06T09:29:26Z"
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        {
          "tag": "v5.0.0",
          "kind": "major",
          "published_at": "2025-01-02T10:05:46Z"
        },
        {
          "tag": "v4.18.11",
          "kind": "patch",
          "published_at": "2024-12-11T13:35:36Z"
        },
        {
          "tag": "v4.18.10",
          "kind": "patch",
          "published_at": "2024-11-20T11:29:38Z"
        },
        {
          "tag": "v4.18.9",
          "kind": "patch",
          "published_at": "2024-11-18T13:45:04Z"
        },
        {
          "tag": "v4.18.8",
          "kind": "patch",
          "published_at": "2024-11-04T12:02:10Z"
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        {
          "tag": "v4.18.7",
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          "published_at": "2024-10-30T17:37:59Z"
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                "key": "watchers",
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                "key": "dependency_update_tool",
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                "key": "fuzzing",
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                "key": "maintained",
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              },
              {
                "key": "pinned_dependencies",
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              },
              {
                "key": "sast",
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              },
              {
                "key": "security_policy",
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              },
              {
                "key": "signed_releases",
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                "points": 0,
                "status": "excluded",
                "details": [
                  {
                    "code": "no_data",
                    "params": {}
                  }
                ],
                "max_points": 7.5
              },
              {
                "key": "token_permissions",
                "name": "Token-Permissions",
                "detail": "detected GitHub workflow tokens with excessive permissions",
                "points": 0,
                "status": "missed",
                "details": [],
                "max_points": 7.5
              },
              {
                "key": "vulnerabilities",
                "name": "Vulnerabilities",
                "detail": "0 existing vulnerabilities detected",
                "points": 7.5,
                "status": "met",
                "details": [],
                "max_points": 7.5
              }
            ]
          },
          {
            "key": "dependency_advisories",
            "band": "excellent",
            "name": "Dependency advisories",
            "note": "Excluded from scoring (no data or not applicable): No advisories left outstanding. Remaining weights renormalized. Matched the pypi:resqpy@5.2.0 runtime dependency closure — what installing the published package pulls in — 11 packages. Reachability is not analyzed.",
            "notes": [
              {
                "code": "excluded_no_data",
                "params": {
                  "components": [
                    "no_advisories_left_outstanding"
                  ]
                }
              },
              {
                "code": "weights_renormalized",
                "params": {}
              },
              {
                "code": "advisories_scope_published",
                "params": {
                  "package": "pypi:resqpy@5.2.0",
                  "assessed": 11
                }
              },
              {
                "code": "advisories_reachability",
                "params": {}
              }
            ],
            "value": 100,
            "inputs": {
              "source": "osv",
              "advisories": 0,
              "affected_packages": 0,
              "assessed_packages": 11,
              "unassessed_packages": 0,
              "affected_by_severity": "none",
              "direct_affected_packages": 0
            },
            "components": [
              {
                "key": "direct_dependencies_free_of_known_advisories",
                "name": "Direct dependencies free of known advisories",
                "detail": "no direct dependency carries a known advisory",
                "points": 35,
                "status": "met",
                "details": [
                  {
                    "code": "no_direct_advisories",
                    "params": {}
                  }
                ],
                "max_points": 35
              },
              {
                "key": "indirect_dependencies_free_of_known_advisories",
                "name": "Indirect dependencies free of known advisories",
                "detail": "no indirect dependency carries a known advisory",
                "points": 25,
                "status": "met",
                "details": [
                  {
                    "code": "no_indirect_advisories",
                    "params": {}
                  }
                ],
                "max_points": 25
              },
              {
                "key": "no_advisories_left_outstanding",
                "name": "No advisories left outstanding",
                "detail": "no advisory carries a publication date",
                "points": 0,
                "status": "excluded",
                "details": [
                  {
                    "code": "advisories_no_publication_date",
                    "params": {}
                  }
                ],
                "max_points": 40
              }
            ]
          },
          {
            "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": 11,
              "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",
                    "params": {}
                  }
                ],
                "max_points": 100
              }
            ]
          },
          {
            "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": "at_risk",
        "name": "AI Readiness",
        "value": 39,
        "weight": 0,
        "metrics": [
          {
            "key": "ai_agent_context",
            "band": "critical",
            "name": "Agent context & guidance",
            "note": null,
            "notes": [],
            "value": 17,
            "inputs": {
              "has_llms_txt": false,
              "legible_history_share": 0.326,
              "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": "31 of 95 human commits state their intent (structured subject or explanatory body)",
                "points": 17.4,
                "status": "partial",
                "details": [
                  {
                    "code": "legible_history",
                    "params": {
                      "legible": 31,
                      "sampled": 95
                    }
                  }
                ],
                "max_points": 40
              }
            ]
          },
          {
            "key": "ai_verify_loop",
            "band": "moderate",
            "name": "Verify loop (build / test / typecheck)",
            "note": null,
            "notes": [],
            "value": 51,
            "inputs": {
              "has_nix": false,
              "has_tests": true,
              "lockfiles": [
                "poetry.lock"
              ],
              "has_dockerfile": false,
              "typed_language": false,
              "bootstrap_files": [],
              "has_devcontainer": false,
              "has_linter_config": true,
              "typecheck_configs": [],
              "agent_commit_share": 0,
              "toolchain_manifests": [],
              "dependency_bot_commit_share": 0.02
            },
            "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": 11,
                "status": "met",
                "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": "lockfile",
                "points": 10,
                "status": "met",
                "details": [
                  {
                    "code": "file_list",
                    "params": {
                      "files": "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": "2 of the last 100 commits are automated dependency updates",
                "points": 8,
                "status": "met",
                "details": [
                  {
                    "code": "dependency_bot_commits",
                    "params": {
                      "count": 2,
                      "sampled": 100
                    }
                  }
                ],
                "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": 52,
            "inputs": {
              "primary_language": "Python",
              "largest_source_bytes": 192863,
              "source_files_sampled": 278,
              "oversized_source_files": 14
            },
            "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": "14/278 source files over 60KB",
                "points": 52.2,
                "status": "partial",
                "details": [
                  {
                    "code": "oversized_source_files",
                    "params": {
                      "kb": 60,
                      "sampled": 278,
                      "oversized": 14
                    }
                  }
                ],
                "max_points": 55
              }
            ]
          }
        ],
        "description": "How well is the repo equipped to be developed and maintained with AI coding agents? An independent, experimental badge — weight 0.0, so it is surfaced on its own and does not affect the overall health score."
      }
    ],
    "metrics_version": "1.13.0"
  },
  "warnings": [
    "Star history unavailable: GitHub GraphQL error: Resource not accessible by personal access token"
  ],
  "report_type": "repository",
  "generated_at": "2026-07-25T11:56:47.178530Z",
  "schema_version": "0.27.0",
  "badge_url": "https://raw.githubusercontent.com/inspect-software/badges/main/v1/b/bp/resqpy.svg",
  "full_name": "bp/resqpy",
  "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 agregadasPyPI.