Registro público
Informe de salud del softwareesquema 0.11.0 · métricas 1.13.0 · 2026-07-15 17:10 UTC

bioscope-ai / bioscope-langextract

A Python library for extracting structured information from unstructured text using LLMs with precise source grounding and interactive visualization.

PythonApache-2.0★ 0 estrellas⑂ 0 forksdesde dic 2025forkVer en GitHub ↗

bioscope-ai/bioscope-langextract tiene un índice de salud de 49 sobre 100, lo que lo sitúa en la banda En riesgo. Su puntuación más alta es Vitality (63/100) y la más baja, Community & Adoption (24/100). Se actualizó por última vez hoy. Una sola persona concentra la mayor parte del trabajo reciente.

49
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.

49
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

Bioscope AIOrganización
6 seguidores5 repositorios públicosdesde jun 2025

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
PyPIbioscope-langextract0.0.137941hace 211 días

Métricas por categoría

Vitalidad

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

63Moderado · 22% del índice global
Cómo se puntúa
36/36Recencia de push — último push hace 0 días
10.4/36Cadencia de commits — 15/52 semanas con commits
18/18Volumen de commits — 125 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_year125
human_commit_share
days_since_last_push0
active_weeks_last_year15
Cómo se puntúa
27/27Publica versiones — 1 versiones publicadas
16.2/36Recencia de las versiones — última versión hace 211 días
12.6/27Cadencia de publicación — cadencia desconocida (una sola versión)
0/10OpenSSF Scorecard: Signed-Releases — sin datos
Datos de entrada utilizados
releases_count1
latest_release_tagv0.0.1
releases_from_tagsno
days_since_latest_release211
mean_days_between_releases
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?

24Crítico · 18% del índice global
Cómo se puntúa
0/60Estrellas — 0 estrellas
0/25Forks — 0 forks
0/15Observadores — 0 observadores
Datos de entrada utilizados
forks0
stars0
watchers0
growth_stateunverified
growth_factor_pct100
growth_unverified_reasonno_history
Cómo se puntúa
0/22.5README
22.5/22.5Licencia — licencia reconocida (Apache-2.0)
0/18Guía CONTRIBUTING
0/13.5Código de conducta
0/7.2Plantilla de issues
0/6.3Plantilla de PR
Datos de entrada utilizados
has_readmeno
has_licenseno
has_contributingno
has_issue_templateno
has_code_of_conductno
has_pull_request_templateno
Cómo se puntúa
47.7/80Descargas mensuales — 3794 descargas/mes en pypi
0/20Dependientes en el registro — no lo informa este ecosistema
Datos de entrada utilizados
packagesbioscope-langextract
dependents
ecosystemspypi
total_downloads
monthly_downloads3794
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?

53Moderado · 24% del índice global
Cómo se puntúa
9/54Factor bus — la mitad de los commits recae en 1 contribuyente(s)
3.6/22.5Distribución de commits — el principal contribuyente firma el 84% de los commits
13.5/13.5Amplitud de contribuyentes — 17 contribuyentes
3/10OpenSSF Scorecard: Contributors — project has 1 contributing companies or organizations -- score normalized to 3
Datos de entrada utilizados
bus_factor1
contributors_sampled17
top_contributor_share0,841
Cómo se puntúa
0/46.8Resolución de issues — sin issues o sin datos
38.2/38.3Aceptación de PR — 1/1 PR decididos fusionados
0/15OpenSSF Scorecard: Code-Review — Found 1/29 approved changesets -- score normalized to 0
Datos de entrada utilizados
merged_prs1
open_issues0
closed_issues0
issue_closed_ratio
closed_unmerged_prs0
Excluidos de la puntuación (sin datos o no aplicable): Resolución de issues. Los pesos restantes se han renormalizado.
Cómo se puntúa
30/30Respaldo de la propiedad — propiedad de una organización
0/20Dominio verificado
6.1/25Alcance del propietario — 6 seguidores de bioscope-ai
7.7/25Trayectoria — 5 repos públicos, cuenta de ~1 años
Datos de entrada utilizados
followers6
owner_typeOrganization
is_verified
owner_loginbioscope-ai
public_repos5
account_age_days379
Cómo se puntúa
25/25Publicado y resoluble — 1 paquete(s) en pypi
26/35Recencia de publicación — última publicación hace 211 días
4/20Historial de versiones — 1 versiones en el registro
20/20No obsoleto — activo, ni obsoleto ni retirado
Datos de entrada utilizados
packagesbioscope-langextract
ecosystemspypi
any_deprecatedno
min_days_since_publish211

Calidad de Ingeniería

¿Existen unas prácticas mínimas de ingeniería y documentación?

56Moderado · 20% del índice global
Cómo se puntúa
24/24Flujos de trabajo de CI — 2 flujo(s) de trabajo
24/24Pruebas presentes
16/16Configuración de linter — .pylintrc
0/9.6Hooks de pre-commit
0/6.4.editorconfig
20/20OpenSSF Scorecard: CI-Tests — 1 out of 1 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_configno

Documentación

15Crítico
Cómo se puntúa
0/30README
0/25Directorio de documentación
15/15Sitio de documentación / página del proyecto — https://pypi.org/project/langextract/
0/10Descripción del repositorio
0/10Topics
0/10Wiki
Datos de entrada utilizados
topics
has_wikino
homepagehttps://pypi.org/project/langextract/
has_readmeno
has_docs_dirno
has_descriptionno

Seguridad

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

44En riesgo · 16% del índice global
Cómo se puntúa
7.5/7.5Binary-Artifacts — no binaries found in the repo
4.5/7.5Branch-Protection — branch protection is not maximal on development and all release branches
2.5/2.5CI-Tests — 1 out of 1 merged PRs checked by a CI test -- score normalized to 10
0/2.5CII-Best-Practices — no effort to earn an OpenSSF best practices badge detected
0/7.5Code-Review — Found 1/29 approved changesets -- score normalized to 0
0.8/2.5Contributors — project has 1 contributing companies or organizations -- score normalized to 3
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
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
0/5Security-Policy — security policy file not detected
0/7.5Signed-Releases — sin datos
7.5/7.5Token-Permissions — GitHub workflow tokens follow principle of least privilege
3/7.5Vulnerabilities — 6 existing vulnerabilities detected
Datos de entrada utilizados
sourceopenssf_scorecard
checks_evaluated17
scorecard_versionv5.5.0
checks_inconclusive1
scorecard_aggregate4,4
Excluidos de la puntuación (sin datos o no aplicable): 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.

46En riesgo · 0% del índice global
Cómo se puntúa
0/45Instrucciones para agentes — sin CLAUDE.md / AGENTS.md / reglas de editor
0/15Documentación legible por máquinas (llms.txt)
0/40Historial de commits legible — sin datos
Datos de entrada utilizados
has_llms_txtno
legible_history_share
agent_instruction_files
agent_instruction_max_bytes
Excluidos de la puntuación (sin datos o no aplicable): Historial de commits legible. Los pesos restantes se han renormalizado.
Cómo se puntúa
0/18Arranque con un solo comando
22/22Pruebas automatizadas
11/11Configuración de lint / formato — .pylintrc
11/11Verificación estática de tipos — langextract/py.typed
10/10Entorno reproducible — lockfile
0/10Práctica demostrada con agentes — sin datos
0/8Mantenimiento automatizado — sin datos
0/10OpenSSF Scorecard: Pinned-Dependencies — dependency not pinned by hash detected -- score normalized to 0
Datos de entrada utilizados
has_nixno
has_tests
lockfilesuv.lock
has_dockerfileno
typed_languageno
bootstrap_files
has_devcontainerno
has_linter_config
typecheck_configslangextract/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 (langextract/py.typed)
55/55Tamaños de archivo manejables — 0/47 archivos fuente de más de 60 KB
Datos de entrada utilizados
primary_languagePython
largest_source_bytes44.969
source_files_sampled47
oversized_source_files0

Datos clave

0estrellas de GitHub
17contribuidores
125commits en los últimos 12 meses
0días desde el último push
1versiones publicadas
1factor bus
0issues abiertas
PyPIecosistemas de paquetes

Advertencias de recopilación de datos

  • Community profile unavailable

Más detalle

OpenSSF Scorecard 4.4 / 10
4.4agregado

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 17:10 UTC

10Binary-Artifactsno binaries found in the repo
6Branch-Protectionbranch protection is not maximal on development and all release branches
10CI-Tests1 out of 1 merged PRs checked by a CI test -- score normalized to 10
0CII-Best-Practicesno effort to earn an OpenSSF best practices badge detected
0Code-ReviewFound 1/29 approved changesets -- score normalized to 0
3Contributorsproject has 1 contributing companies or organizations -- score normalized to 3
10Dangerous-Workflowno dangerous workflow patterns detected
0Dependency-Update-Toolno update 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
0Security-Policysecurity policy file not detected
n/dSigned-Releasesno releases found
10Token-PermissionsGitHub workflow tokens follow principle of least privilege
4Vulnerabilities6 existing vulnerabilities detected
Dependencias directas 7
RegistroPaqueteRestricción de versiónManifiesto
PyPIexceptiongroup>=1.1.0pyproject.toml
PyPImore-itertools>=8.0.0pyproject.toml
PyPIpydantic>=2.0.0pyproject.toml
PyPIpython-dotenv>=0.19.0pyproject.toml
PyPIPyYAML>=6.0pyproject.toml
PyPIregex>=2023.0.0pyproject.toml
PyPItyping-extensions>=4.0.0pyproject.toml
Todas las dependencias 24

Conjunto completo de dependencias resueltas según el grafo de dependencias de GitHub: 7 paquetes directos y 17 indirectos (transitivos). El cierre transitivo es completo cuando el repositorio incluye un lockfile.

RegistroPaqueteVersiónRelación
PyPIexceptiongroup1.3.1directa
PyPImore-itertools10.8.0directa
PyPIpydantic2.12.5directa
PyPIpython-dotenv1.2.1directa
PyPIpyyaml6.0.3directa
PyPIregex2025.11.3directa
PyPItyping-extensions4.15.0directa
PyPIannotated-types0.7.0indirecta
PyPIbioscope-langextract0.0.1indirecta
PyPIblack24.3.0indirecta
PyPIclick8.3.1indirecta
PyPIcolorama0.4.6indirecta
PyPIiniconfig2.3.0indirecta
PyPIisort7.0.0indirecta
PyPImypy-extensions1.1.0indirecta
PyPIpackaging25.0indirecta
PyPIpathspec0.12.1indirecta
PyPIplatformdirs4.5.1indirecta
PyPIpluggy1.6.0indirecta
PyPIpydantic-core2.41.5indirecta
PyPIpygments2.19.2indirecta
PyPIpyink24.3.0indirecta
PyPIpytest9.0.2indirecta
PyPItyping-inspection0.4.2indirecta
Informe JSON sin procesar legible por máquina
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                "key": "openssf_scorecard_code_review",
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            "name": "Ownership & stewardship",
            "note": null,
            "notes": [],
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            "inputs": {
              "followers": 6,
              "owner_type": "Organization",
              "is_verified": null,
              "owner_login": "bioscope-ai",
              "public_repos": 5,
              "account_age_days": 379
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            "components": [
              {
                "key": "ownership_backing",
                "name": "Ownership backing",
                "detail": "organization-owned",
                "points": 30,
                "status": "met",
                "details": [
                  {
                    "code": "owner_organization",
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                ],
                "max_points": 30
              },
              {
                "key": "verified_domain",
                "name": "Verified domain",
                "detail": null,
                "points": 0,
                "status": "missed",
                "details": [],
                "max_points": 20
              },
              {
                "key": "owner_reach",
                "name": "Owner reach",
                "detail": "6 followers of bioscope-ai",
                "points": 6.1,
                "status": "partial",
                "details": [
                  {
                    "code": "owner_followers",
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                      "count": 6,
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                  }
                ],
                "max_points": 25
              },
              {
                "key": "track_record",
                "name": "Track record",
                "detail": "5 public repos, account ~1 yr old",
                "points": 7.7,
                "status": "partial",
                "details": [
                  {
                    "code": "public_repos",
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                      "count": 5
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                  },
                  {
                    "code": "account_age_years",
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                      "years": 1
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                ],
                "max_points": 25
              }
            ]
          },
          {
            "key": "package_maintenance",
            "band": "good",
            "name": "Package maintenance",
            "note": null,
            "notes": [],
            "value": 75,
            "inputs": {
              "packages": [
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              "ecosystems": "pypi",
              "any_deprecated": false,
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            "components": [
              {
                "key": "published_resolvable",
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                "detail": "1 package(s) on pypi",
                "points": 25,
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                ],
                "max_points": 25
              },
              {
                "key": "publish_recency",
                "name": "Publish recency",
                "detail": "latest publish 211 days ago",
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                "details": [
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                    "code": "publish_recency",
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              {
                "key": "version_history",
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                "detail": "1 published versions",
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              {
                "key": "not_deprecated",
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                "max_points": 20
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        ],
        "description": "Will the project survive its people — bus factor, responsiveness, who backs it, and package upkeep?"
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        "key": "engineering",
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        "name": "Engineering Quality",
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        "weight": 0.2,
        "metrics": [
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                "key": "ci_workflows",
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                "max_points": 24
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              {
                "key": "tests_present",
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                "points": 24,
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              {
                "key": "linter_config",
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              {
                "key": "pre_commit_hooks",
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              {
                "key": "editorconfig",
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                "status": "missed",
                "details": [],
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              },
              {
                "key": "openssf_scorecard_ci_tests",
                "name": "OpenSSF Scorecard: CI-Tests",
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                "points": 20,
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          },
          {
            "key": "documentation",
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            "note": null,
            "notes": [],
            "value": 15,
            "inputs": {
              "topics": [],
              "has_wiki": false,
              "homepage": "https://pypi.org/project/langextract/",
              "has_readme": false,
              "has_docs_dir": false,
              "has_description": false
            },
            "components": [
              {
                "key": "readme",
                "name": "README",
                "detail": null,
                "points": 0,
                "status": "missed",
                "details": [],
                "max_points": 30
              },
              {
                "key": "documentation_directory",
                "name": "Documentation directory",
                "detail": null,
                "points": 0,
                "status": "missed",
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              },
              {
                "key": "documentation_homepage_site",
                "name": "Documentation / homepage site",
                "detail": "https://pypi.org/project/langextract/",
                "points": 15,
                "status": "met",
                "details": [],
                "max_points": 15
              },
              {
                "key": "repository_description",
                "name": "Repository description",
                "detail": null,
                "points": 0,
                "status": "missed",
                "details": [],
                "max_points": 10
              },
              {
                "key": "topics",
                "name": "Topics",
                "detail": null,
                "points": 0,
                "status": "missed",
                "details": [],
                "max_points": 10
              },
              {
                "key": "wiki",
                "name": "Wiki",
                "detail": null,
                "points": 0,
                "status": "missed",
                "details": [],
                "max_points": 10
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            ]
          }
        ],
        "description": "Are baseline engineering and documentation practices in place?"
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      {
        "key": "security",
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        "weight": 0.16,
        "metrics": [
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            "key": "security_posture",
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                "code": "weights_renormalized",
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              "source": "openssf_scorecard",
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            "components": [
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                "key": "binary_artifacts",
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              {
                "key": "branch_protection",
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                "max_points": 7.5
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              {
                "key": "ci_tests",
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              {
                "key": "cii_best_practices",
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                "points": 0,
                "status": "missed",
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              {
                "key": "code_review",
                "name": "Code-Review",
                "detail": "Found 1/29 approved changesets -- score normalized to 0",
                "points": 0,
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                "details": [],
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              {
                "key": "contributors",
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                "status": "partial",
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              {
                "key": "dangerous_workflow",
                "name": "Dangerous-Workflow",
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                "points": 10,
                "status": "met",
                "details": [],
                "max_points": 10
              },
              {
                "key": "dependency_update_tool",
                "name": "Dependency-Update-Tool",
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                "points": 0,
                "status": "missed",
                "details": [],
                "max_points": 7.5
              },
              {
                "key": "fuzzing",
                "name": "Fuzzing",
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                "points": 0,
                "status": "missed",
                "details": [],
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              },
              {
                "key": "license",
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                "detail": "license file detected",
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                "status": "met",
                "details": [],
                "max_points": 2.5
              },
              {
                "key": "maintained",
                "name": "Maintained",
                "detail": "0 commit(s) and 0 issue activity found in the last 90 days -- score normalized to 0",
                "points": 0,
                "status": "missed",
                "details": [],
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              {
                "key": "packaging",
                "name": "Packaging",
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                "points": 5,
                "status": "met",
                "details": [],
                "max_points": 5
              },
              {
                "key": "pinned_dependencies",
                "name": "Pinned-Dependencies",
                "detail": "dependency not pinned by hash detected -- score normalized to 0",
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                "status": "missed",
                "details": [],
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              },
              {
                "key": "sast",
                "name": "SAST",
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                "status": "missed",
                "details": [],
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              },
              {
                "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",
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                "points": 0,
                "status": "excluded",
                "details": [
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                    "params": {}
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                "max_points": 7.5
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              {
                "key": "token_permissions",
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                "detail": "GitHub workflow tokens follow principle of least privilege",
                "points": 7.5,
                "status": "met",
                "details": [],
                "max_points": 7.5
              },
              {
                "key": "vulnerabilities",
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                "points": 3,
                "status": "partial",
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                "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"
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              "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": [
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                    "code": "jurisdiction_no_match",
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                "max_points": 100
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            ]
          }
        ],
        "description": "Are visible security and supply-chain practices strong, with no malicious dependency and no unresolved high-risk jurisdiction exposure?"
      },
      {
        "key": "ai_readiness",
        "band": "at_risk",
        "name": "AI Readiness",
        "value": 46,
        "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": [
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              },
              {
                "code": "weights_renormalized",
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            "value": 1,
            "inputs": {
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              "legible_history_share": null,
              "agent_instruction_files": [],
              "agent_instruction_max_bytes": null
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            "components": [
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                "key": "agent_instructions",
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                "detail": "no CLAUDE.md / AGENTS.md / editor rules",
                "points": 0,
                "status": "missed",
                "details": [
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                "max_points": 45
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                "key": "machine_readable_docs_llms_txt",
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                "points": 0,
                "status": "missed",
                "details": [],
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              },
              {
                "key": "legible_commit_history",
                "name": "Legible commit history",
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                "points": 0,
                "status": "excluded",
                "details": [
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                    "code": "no_data",
                    "params": {}
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                ],
                "max_points": 40
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            ]
          },
          {
            "key": "ai_verify_loop",
            "band": "moderate",
            "name": "Verify loop (build / test / typecheck)",
            "note": "Excluded from scoring (no data or not applicable): Demonstrated agent practice, Automated maintenance. Remaining weights renormalized.",
            "notes": [
              {
                "code": "excluded_no_data",
                "params": {
                  "components": [
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              {
                "code": "weights_renormalized",
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            "value": 66,
            "inputs": {
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              "bootstrap_files": [],
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              "typecheck_configs": [
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              "toolchain_manifests": [],
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            "components": [
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              },
              {
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                "status": "met",
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                ],
                "max_points": 11
              },
              {
                "key": "static_type_checking",
                "name": "Static type checking",
                "detail": "langextract/py.typed",
                "points": 11,
                "status": "met",
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                ],
                "max_points": 11
              },
              {
                "key": "reproducible_environment",
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                "details": [
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                ],
                "max_points": 10
              },
              {
                "key": "demonstrated_agent_practice",
                "name": "Demonstrated agent practice",
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                "status": "excluded",
                "details": [
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                    "params": {}
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                ],
                "max_points": 10
              },
              {
                "key": "automated_maintenance",
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                "detail": "no data",
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                "status": "excluded",
                "details": [
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                ],
                "max_points": 8
              },
              {
                "key": "openssf_scorecard_pinned_dependencies",
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            ]
          },
          {
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            "notes": [],
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            "inputs": {
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              "largest_source_bytes": 44969,
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              "oversized_source_files": 0
            },
            "components": [
              {
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                "name": "Type-checkable code",
                "detail": "Python with type-check config (langextract/py.typed)",
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                "status": "partial",
                "details": [
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                    }
                  }
                ],
                "max_points": 45
              },
              {
                "key": "manageable_file_sizes",
                "name": "Manageable file sizes",
                "detail": "0/47 source files over 60KB",
                "points": 55,
                "status": "met",
                "details": [
                  {
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                    }
                  }
                ],
                "max_points": 55
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            ]
          }
        ],
        "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": [
    "Community profile unavailable"
  ],
  "report_type": "repository",
  "generated_at": "2026-07-15T17:10:27.259909Z",
  "schema_version": "0.11.0",
  "badge_url": "https://raw.githubusercontent.com/inspect-software/badges/main/v1/b/bioscope-ai/bioscope-langextract.svg",
  "full_name": "bioscope-ai/bioscope-langextract",
  "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.