Registro público
Informe de salud del softwareesquema 0.11.0 · métricas 1.13.0 · 2026-07-15 04:02 UTC

nominal-io / nominal-client

Python client for Nominal test data storage & compute

PythonApache-2.0★ 12 estrellas⑂ 3 forksdesde jul 2024Ver en GitHub ↗

nominal-io/nominal-client tiene un índice de salud de 72 sobre 100, lo que lo sitúa en la banda Bueno. Su puntuación más alta es Vitality (99/100) y la más baja, Community & Adoption (48/100). Se actualizó por última vez hoy. 2 personas concentran la mayor parte del trabajo reciente.

72
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.

72
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

NominalOrganización
34 seguidores25 repositorios públicosdesde oct 2022

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

Ecosistemas de paquetes

RegistroPaqueteVersiónDescargas / mesVersionesÚltima publicación
PyPInominal1.153.0-208hace 0 días

Métricas por categoría

Vitalidad

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

99Excelente · 22% del índice global
Cómo se puntúa
36/36Recencia de push — último push hace 0 días
34.6/36Cadencia de commits — 50/52 semanas con commits
18/18Volumen de commits — 366 commits en el último año
10/10OpenSSF Scorecard: Maintained — 30 commit(s) and 0 issue activity found in the last 90 days -- score normalized to 10
Datos de entrada utilizados
commits_last_year366
human_commit_share
days_since_last_push0
active_weeks_last_year50
Cómo se puntúa
27/27Publica versiones — 100 versiones publicadas
36/36Recencia de las versiones — última versión hace 0 días
27/27Cadencia de publicación — una versión cada ~3,1 días
0/10OpenSSF Scorecard: Signed-Releases — sin datos
Datos de entrada utilizados
releases_count100
latest_release_tagv1.153.0
releases_from_tagsno
days_since_latest_release0
mean_days_between_releases3,1
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?

48En riesgo · 18% del índice global
Cómo se puntúa
16.9/60Estrellas — 12 estrellas
2.5/25Forks — 3 forks
3.9/15Observadores — 6 observadores
Datos de entrada utilizados
forks3
stars12
watchers6
growth_stateunverified
growth_factor_pct100
growth_unverified_reasonno_history
Cómo se puntúa
22.5/22.5README
22.5/22.5Licencia — licencia reconocida (Apache-2.0)
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?

77Bueno · 24% del índice global
Cómo se puntúa
25.2/54Factor bus — la mitad de los commits recae en 2 contribuyente(s)
16.4/22.5Distribución de commits — el principal contribuyente firma el 27% de los commits
13.5/13.5Amplitud de contribuyentes — 37 contribuyentes
10/10OpenSSF Scorecard: Contributors — project has 20 contributing companies or organizations
Datos de entrada utilizados
bus_factor2
contributors_sampled37
top_contributor_share0,269
Cómo se puntúa
46.8/46.8Resolución de issues — 100% de issues cerradas
33.2/38.3Aceptación de PR — 738/849 PR decididos fusionados
12/15OpenSSF Scorecard: Code-Review — Found 26/29 approved changesets -- score normalized to 8
Datos de entrada utilizados
merged_prs738
open_issues0
closed_issues2
issue_closed_ratio1
closed_unmerged_prs111
Cómo se puntúa
30/30Respaldo de la propiedad — propiedad de una organización
0/20Dominio verificado
11.1/25Alcance del propietario — 34 seguidores de nominal-io
17.7/25Trayectoria — 25 repos públicos, cuenta de ~3 años
Datos de entrada utilizados
followers34
owner_typeOrganization
is_verified
owner_loginnominal-io
public_repos25
account_age_days1358
Cómo se puntúa
25/25Publicado y resoluble — 1 paquete(s) en pypi
35/35Recencia de publicación — última publicación hace 0 días
20/20Historial de versiones — 208 versiones en el registro
20/20No obsoleto — activo, ni obsoleto ni retirado
Datos de entrada utilizados
packagesnominal
ecosystemspypi
any_deprecatedno
min_days_since_publish0

Calidad de Ingeniería

¿Existen unas prácticas mínimas de ingeniería y documentación?

73Bueno · 20% del índice global
Cómo se puntúa
24/24Flujos de trabajo de CI — 7 flujo(s) de trabajo
24/24Pruebas presentes
0/16Configuración de linter
0/9.6Hooks de pre-commit
0/6.4.editorconfig
20/20OpenSSF Scorecard: CI-Tests — 30 out of 30 merged PRs checked by a CI test -- score normalized to 10
Datos de entrada utilizados
has_ci
has_tests
has_editorconfigno
has_linter_configno
has_precommit_configno
Cómo se puntúa
30/30README
25/25Directorio de documentación
15/15Sitio de documentación / página del proyecto — https://nominal-io.github.io/nominal-client/
10/10Descripción del repositorio
0/10Topics
0/10Wiki
Datos de entrada utilizados
topics
has_wikino
homepagehttps://nominal-io.github.io/nominal-client/
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?

50Moderado · 16% del índice global
Cómo se puntúa
7.5/7.5Binary-Artifacts — no binaries found in the repo
3/7.5Branch-Protection — branch protection is not maximal on development and all release branches
2.5/2.5CI-Tests — 30 out of 30 merged PRs checked by a CI test -- score normalized to 10
0/2.5CII-Best-Practices — no effort to earn an OpenSSF best practices badge detected
6/7.5Code-Review — Found 26/29 approved changesets -- score normalized to 8
2.5/2.5Contributors — project has 20 contributing companies or organizations
10/10Dangerous-Workflow — no dangerous workflow patterns detected
0/7.5Dependency-Update-Tool — no update tool detected
0/5Fuzzing — project is not fuzzed
2.5/2.5Licencia — license file detected
7.5/7.5Maintained — 30 commit(s) and 0 issue activity found in the last 90 days -- score normalized to 10
0/5Packaging — sin datos
1.5/5Pinned-Dependencies — dependency not pinned by hash detected -- score normalized to 3
0/5SAST — SAST tool is not run on all commits -- score normalized to 0
0/5Security-Policy — security policy file not detected
0/7.5Signed-Releases — sin datos
0/7.5Token-Permissions — detected GitHub workflow tokens with excessive permissions
3/7.5Vulnerabilities — 6 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): packaging, signed_releases. Los pesos restantes se han renormalizado.

Preparación para IA

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

52Moderado · 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
18/18Arranque con un solo comando — justfile
22/22Pruebas automatizadas
0/11Configuración de lint / formato
11/11Verificación estática de tipos — nominal/py.typed, packages/nominal-tdms/nominal/tdms/py.typed
10/10Entorno reproducible — lockfile
0/10Práctica demostrada con agentes — sin datos
0/8Mantenimiento automatizado — sin datos
3/10OpenSSF Scorecard: Pinned-Dependencies — dependency not pinned by hash detected -- score normalized to 3
Datos de entrada utilizados
has_nixno
has_tests
lockfilesuv.lock
has_dockerfileno
typed_languageno
bootstrap_filesjustfile
has_devcontainerno
has_linter_configno
typecheck_configsnominal/py.typed, packages/nominal-tdms/nominal/tdms/py.typed
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
27/45Código verificable por tipos — Python con configuración de verificación de tipos (nominal/py.typed, packages/nominal-tdms/nominal/tdms/py.typed)
54.8/55Tamaños de archivo manejables — 1/222 archivos fuente de más de 60 KB
Datos de entrada utilizados
primary_languagePython
largest_source_bytes81.147
source_files_sampled222
oversized_source_files1

Datos clave

12estrellas de GitHub
37contribuidores
366commits en los últimos 12 meses
0días desde el último push
100versiones publicadas
2factor bus
0issues abiertas
PyPIecosistemas de paquetes

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 · 2026-07-15 04:02 UTC

10Binary-Artifactsno binaries found in the repo
4Branch-Protectionbranch protection is not maximal on development and all release branches
10CI-Tests30 out of 30 merged PRs checked by a CI test -- score normalized to 10
0CII-Best-Practicesno effort to earn an OpenSSF best practices badge detected
8Code-ReviewFound 26/29 approved changesets -- score normalized to 8
10Contributorsproject has 20 contributing companies or organizations
10Dangerous-Workflowno dangerous workflow patterns detected
0Dependency-Update-Toolno update tool detected
0Fuzzingproject is not fuzzed
10Licenselicense file detected
10Maintained30 commit(s) and 0 issue activity found in the last 90 days -- score normalized to 10
n/dPackagingpackaging workflow not detected
3Pinned-Dependenciesdependency not pinned by hash detected -- score normalized to 3
0SASTSAST tool is not run on all commits -- score normalized to 0
0Security-Policysecurity policy file not detected
n/dSigned-Releasesno releases found
0Token-Permissionsdetected GitHub workflow tokens with excessive permissions
4Vulnerabilities6 existing vulnerabilities detected
Dependencias directas 17
RegistroPaqueteRestricción de versiónManifiesto
PyPIconjure-python-client>=3.1.0,<4pyproject.toml
PyPIexceptiongroup>=1.3.0pyproject.toml
PyPInominal-api==0.1305.0pyproject.toml
PyPInominal-api-protos==0.1305.0pyproject.toml
PyPItruststore>=0.10.4pyproject.toml
PyPItyping-extensions>=4,<5pyproject.toml
PyPIpandas>=2.0.0pyproject.toml
PyPIpolars>=1.0.0pyproject.toml
PyPIpython-dateutil>=2.8.2pyproject.toml
PyPIpyyaml>=6.0pyproject.toml
PyPIrequests>=2.32.0pyproject.toml
PyPIurllib3>=2.7.0pyproject.toml
PyPIffmpeg-python>=0.2.0pyproject.toml
PyPIclick>=8,<9pyproject.toml
PyPIrich>=14.1.0pyproject.toml
PyPItabulate>=0.9.0,<0.10pyproject.toml
PyPInominal-streaming==0.8.2pyproject.toml
Todas las dependencias 83

Conjunto completo de dependencias resueltas según el grafo de dependencias de GitHub: 17 paquetes directos y 66 indirectos (transitivos). El cierre transitivo es completo cuando el repositorio incluye un lockfile.

RegistroPaqueteVersiónRelación
PyPIclick8.3.0directa
PyPIconjure-python-client3.1.0directa
PyPIexceptiongroup1.3.0directa
PyPIffmpeg-python0.2.0directa
PyPInominal-api0.1305.0directa
PyPInominal-api-protos0.1305.0directa
PyPInominal-streaming0.8.2directa
PyPIpandas2.3.3directa
PyPIpolars1.34.0directa
PyPIpython-dateutil2.9.0.post0directa
PyPIpyyaml6.0.3directa
PyPIrequests2.32.5directa
PyPIrich14.2.0directa
PyPItabulate0.9.0directa
PyPItruststore0.10.4directa
PyPItyping-extensions4.15.0directa
PyPIurllib32.7.0directa
PyPIbabel2.17.0indirecta
PyPIbackrefs5.9indirecta
PyPIcertifi2025.10.5indirecta
PyPIcharset-normalizer3.4.3indirecta
PyPIcolorama0.4.6indirecta
PyPIcoverage7.10.7indirecta
PyPIet-xmlfile2.0.0indirecta
PyPIfuture1.0.0indirecta
PyPIghp-import2.1.0indirecta
PyPIgoogleapis-common-protos1.75.0indirecta
PyPIgriffe1.14.0indirecta
PyPIgrpcio1.81.1indirecta
PyPIhatchlingindirecta
PyPIidna3.10indirecta
PyPIiniconfig2.1.0indirecta
PyPIjinja23.1.6indirecta
PyPImarkdown3.9indirecta
PyPImarkdown-it-py4.0.0indirecta
PyPImarkupsafe3.0.3indirecta
PyPImdurl0.1.2indirecta
PyPImergedeep1.3.4indirecta
PyPImkdocs1.6.1indirecta
PyPImkdocs-autorefs1.4.3indirecta
PyPImkdocs-click0.9.0indirecta
PyPImkdocs-get-deps0.2.0indirecta
PyPImkdocs-material9.6.21indirecta
PyPImkdocs-material-extensions1.3.1indirecta
PyPImkdocstrings0.30.1indirecta
PyPImkdocstrings-python1.18.2indirecta
PyPImypy1.18.2indirecta
PyPImypy-extensions1.1.0indirecta
PyPInominal1.153.0indirecta
PyPInominalindirecta
PyPInominal-tdms1.143.0indirecta
PyPInominal-video0.1.9indirecta
PyPInptdms1.10.0indirecta
PyPInptdmsindirecta
PyPInumpy2.3.3indirecta
PyPInumpy2.2.6indirecta
PyPIopenpyxl3.1.5indirecta
PyPIpackaging25.0indirecta
PyPIpaginate0.5.7indirecta
PyPIpandas-stubs2.3.2.250926indirecta
PyPIpathspec0.12.1indirecta
PyPIplatformdirs4.5.0indirecta
PyPIpluggy1.6.0indirecta
PyPIpolars-runtime-321.34.0indirecta
PyPIprotobuf6.33.6indirecta
PyPIpygments2.19.2indirecta
PyPIpymdown-extensions10.16.1indirecta
PyPIpytest8.4.2indirecta
PyPIpytest-cov5.0.0indirecta
PyPIpytz2025.2indirecta
PyPIpyyaml-env-tag1.1indirecta
PyPIruff0.12.1indirecta
PyPIsix1.17.0indirecta
PyPItomli2.3.0indirecta
PyPItypes-grpcio1.0.0.20260614indirecta
PyPItypes-protobuf4.25.0.20240417indirecta
PyPItypes-python-dateutil2.9.0.20251008indirecta
PyPItypes-pytz2025.2.0.20250809indirecta
PyPItypes-pyyaml6.0.12.20250915indirecta
PyPItypes-requests2.32.4.20250913indirecta
PyPItypes-tabulate0.9.0.20241207indirecta
PyPItzdata2025.2indirecta
PyPIwatchdog6.0.0indirecta
Informe JSON sin procesar legible por máquina
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          "manifest": "pyproject.toml",
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          "version_constraint": ">=8,<9"
        },
        {
          "name": "rich",
          "manifest": "pyproject.toml",
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          "version_constraint": ">=14.1.0"
        },
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                "key": "pinned_dependencies",
                "name": "Pinned-Dependencies",
                "detail": "dependency not pinned by hash detected -- score normalized to 3",
                "points": 1.5,
                "status": "partial",
                "details": [],
                "max_points": 5
              },
              {
                "key": "sast",
                "name": "SAST",
                "detail": "SAST tool is not run on all commits -- score normalized to 0",
                "points": 0,
                "status": "missed",
                "details": [],
                "max_points": 5
              },
              {
                "key": "security_policy",
                "name": "Security-Policy",
                "detail": "security policy file not detected",
                "points": 0,
                "status": "missed",
                "details": [],
                "max_points": 5
              },
              {
                "key": "signed_releases",
                "name": "Signed-Releases",
                "detail": "no releases found",
                "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": "6 existing vulnerabilities detected",
                "points": 3,
                "status": "partial",
                "details": [],
                "max_points": 7.5
              }
            ]
          },
          {
            "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": 6
            },
            "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": "moderate",
        "name": "AI Readiness",
        "value": 52,
        "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": {
                  "components": [
                    "legible_commit_history"
                  ]
                }
              },
              {
                "code": "weights_renormalized",
                "params": {}
              }
            ],
            "value": 1,
            "inputs": {
              "has_llms_txt": false,
              "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": {}
                  }
                ],
                "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": "no data",
                "points": 0,
                "status": "excluded",
                "details": [
                  {
                    "code": "no_data",
                    "params": {}
                  }
                ],
                "max_points": 40
              }
            ]
          },
          {
            "key": "ai_verify_loop",
            "band": "good",
            "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": [
                    "demonstrated_agent_practice",
                    "automated_maintenance"
                  ]
                }
              },
              {
                "code": "weights_renormalized",
                "params": {}
              }
            ],
            "value": 78,
            "inputs": {
              "has_nix": false,
              "has_tests": true,
              "lockfiles": [
                "uv.lock"
              ],
              "has_dockerfile": false,
              "typed_language": false,
              "bootstrap_files": [
                "justfile"
              ],
              "has_devcontainer": false,
              "has_linter_config": false,
              "typecheck_configs": [
                "nominal/py.typed",
                "packages/nominal-tdms/nominal/tdms/py.typed"
              ],
              "agent_commit_share": null,
              "toolchain_manifests": [],
              "dependency_bot_commit_share": null
            },
            "components": [
              {
                "key": "one_command_bootstrap",
                "name": "One-command bootstrap",
                "detail": "justfile",
                "points": 18,
                "status": "met",
                "details": [
                  {
                    "code": "file_list",
                    "params": {
                      "files": "justfile"
                    }
                  }
                ],
                "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": "nominal/py.typed, packages/nominal-tdms/nominal/tdms/py.typed",
                "points": 11,
                "status": "met",
                "details": [
                  {
                    "code": "file_list",
                    "params": {
                      "files": "nominal/py.typed, packages/nominal-tdms/nominal/tdms/py.typed"
                    }
                  }
                ],
                "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 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": {}
                  }
                ],
                "max_points": 8
              },
              {
                "key": "openssf_scorecard_pinned_dependencies",
                "name": "OpenSSF Scorecard: Pinned-Dependencies",
                "detail": "dependency not pinned by hash detected -- score normalized to 3",
                "points": 3,
                "status": "partial",
                "details": [],
                "max_points": 10
              }
            ]
          },
          {
            "key": "ai_code_legibility",
            "band": "good",
            "name": "Code legibility for models",
            "note": null,
            "notes": [],
            "value": 82,
            "inputs": {
              "primary_language": "Python",
              "largest_source_bytes": 81147,
              "source_files_sampled": 222,
              "oversized_source_files": 1
            },
            "components": [
              {
                "key": "type_checkable_code",
                "name": "Type-checkable code",
                "detail": "Python with type-check config (nominal/py.typed, packages/nominal-tdms/nominal/tdms/py.typed)",
                "points": 27,
                "status": "partial",
                "details": [
                  {
                    "code": "typecheck_config_language",
                    "params": {
                      "files": "nominal/py.typed, packages/nominal-tdms/nominal/tdms/py.typed",
                      "language": "Python"
                    }
                  }
                ],
                "max_points": 45
              },
              {
                "key": "manageable_file_sizes",
                "name": "Manageable file sizes",
                "detail": "1/222 source files over 60KB",
                "points": 54.8,
                "status": "partial",
                "details": [
                  {
                    "code": "oversized_source_files",
                    "params": {
                      "kb": 60,
                      "sampled": 222,
                      "oversized": 1
                    }
                  }
                ],
                "max_points": 55
              }
            ]
          }
        ],
        "description": "How well is the repo equipped to be developed and maintained with AI coding agents? An independent, experimental badge — weight 0.0, so it is surfaced on its own and does not affect the overall health score."
      }
    ],
    "metrics_version": "1.13.0"
  },
  "warnings": [],
  "report_type": "repository",
  "generated_at": "2026-07-15T04:02:44.166502Z",
  "schema_version": "0.11.0",
  "badge_url": "https://raw.githubusercontent.com/inspect-software/badges/main/v1/n/nominal-io/nominal-client.svg",
  "full_name": "nominal-io/nominal-client",
  "license_state": "standard",
  "license_spdx": "Apache-2.0"
}

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 v0.11.0 — metodología completa · wiki de métricas.

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