Registro público
Informe de salud del softwareesquema 0.12.0 · métricas 1.13.0 · 2026-07-17 23:35 UTC

openadaptai / openadapt

Compile a demonstrated GUI workflow into a deterministic, locally executable program. Zero model calls on healthy runs; governed repair; halts instead of guessing. Launcher for openadapt-flow: pip install openadapt

PythonMIT★ 1648 estrellas⑂ 258 forksdesde abr 2023Ver en GitHub ↗
#process-automation#python#transformers#large-language-models#large-multimodal-models#large-action-model#agents#ai-agents#ai-agents-framework#anthropic#google-gemini#openai#generative-process-automation#computer-use#omniparser#computer-use-agents#desktop-automation#gui-automation#local-first#workflow-automation

openadaptai/openadapt tiene un índice de salud de 75 sobre 100, lo que lo sitúa en la banda Bueno. Su puntuación más alta es Engineering Quality (96/100) y la más baja, Security (48/100). Se actualizó por última vez hoy. 2 personas concentran la mayor parte del trabajo reciente.

75
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.

75
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

OpenAdapt.AIOrganización
98 seguidores54 repositorios públicosdesde may 2023

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
PyPIopenadapt1.6.4-75hace 0 díasagentautomationcomputer-useguimlrpavlm

Métricas por categoría

Vitalidad

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

77Bueno · 22% del índice global

Actividad de desarrollo

68Moderado
Cómo se puntúa
36/36Recencia de push — último push hace 0 días
4.2/36Cadencia de commits — 6/52 semanas con commits
17.8/18Volumen de commits — 95 commits en el último año
10/10OpenSSF Scorecard: Maintained — 30 commit(s) and 2 issue activity found in the last 90 days -- score normalized to 10
Datos de entrada utilizados
commits_last_year95
human_commit_share—
days_since_last_push0
active_weeks_last_year6

Disciplina de publicación

90Excelente
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 ~0,6 días
0/10OpenSSF Scorecard: Signed-Releases — Project has not signed or included provenance with any releases.
Datos de entrada utilizados
releases_count100
latest_release_tagv1.6.4
releases_from_tagsno
days_since_latest_release0
mean_days_between_releases0,6

Comunidad y Adopción

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

78Bueno · 18% del índice global

Popularidad y adopción

79Bueno
Cómo se puntúa
52.2/60Estrellas — 1648 estrellas
20.1/25Forks — 258 forks
6.5/15Observadores — 16 observadores
Datos de entrada utilizados
forks258
stars1648
watchers16
growth_stateunverified
growth_factor_pct100
growth_unverified_reasonno_history

Salud de la comunidad

77Bueno
Cómo se puntúa
22.5/22.5README
22.5/22.5Licencia — licencia reconocida (MIT)
18/18Guía CONTRIBUTING
0/13.5Código de conducta
0/7.2Plantilla de issues
6.3/6.3Plantilla de PR
Datos de entrada utilizados
has_readmesí
has_licensesí
has_contributingsí
has_issue_templateno
has_code_of_conductno
has_pull_request_templatesí

Sostenibilidad y Gobernanza

¿Sobrevivirá el proyecto a sus personas: factor bus, capacidad de respuesta, quién lo respalda y mantenimiento del paquete?

72Bueno · 24% del índice global

Resiliencia de mantenedores (factor bus)

61Moderado
Cómo se puntúa
25.2/54Factor bus — la mitad de los commits recae en 2 contribuyente(s)
12.3/22.5Distribución de commits — el principal contribuyente firma el 45% de los commits
13.5/13.5Amplitud de contribuyentes — 18 contribuyentes
10/10OpenSSF Scorecard: Contributors — project has 7 contributing companies or organizations
Datos de entrada utilizados
bus_factor2
contributors_sampled18
top_contributor_share0,454

Capacidad de respuesta a issues y PR

72Bueno
Cómo se puntúa
46.8/46.8Resolución de issues — 100% de issues cerradas
25.2/38.3Aceptación de PR — 329/499 PR decididos fusionados
0/15OpenSSF Scorecard: Code-Review — Found 0/30 approved changesets -- score normalized to 0
Datos de entrada utilizados
merged_prs329
open_issues0
closed_issues511
issue_closed_ratio1
closed_unmerged_prs170

Propiedad y custodia

63Moderado
Cómo se puntúa
30/30Respaldo de la propiedad — propiedad de una organización
0/20Dominio verificado
14.3/25Alcance del propietario — 98 seguidores de OpenAdaptAI
19.1/25Trayectoria — 54 repos públicos, cuenta de ~3 años
Datos de entrada utilizados
followers98
owner_typeOrganization
is_verified—
owner_loginOpenAdaptAI
public_repos54
account_age_days1169

Mantenimiento de paquetes

100Excelente
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 — 75 versiones en el registro
20/20No obsoleto — activo, ni obsoleto ni retirado
Datos de entrada utilizados
packagesopenadapt
ecosystemspypi
any_deprecatedno
min_days_since_publish0

Calidad de Ingeniería

¿Existen unas prácticas mínimas de ingeniería y documentación?

96Excelente · 20% del índice global

Prácticas de ingeniería

94Excelente
Cómo se puntúa
24/24Flujos de trabajo de CI — 4 flujo(s) de trabajo
24/24Pruebas presentes
16/16Configuración de linter — .eslintrc.json, .flake8
9.6/9.6Hooks de pre-commit
0/6.4.editorconfig
20/20OpenSSF Scorecard: CI-Tests — 17 out of 17 merged PRs checked by a CI test -- score normalized to 10
Datos de entrada utilizados
has_cisí
has_testssí
has_editorconfigno
has_linter_configsí
has_precommit_configsí

Documentación

100Excelente
Cómo se puntúa
30/30README
25/25Directorio de documentación
15/15Sitio de documentación / página del proyecto — https://www.OpenAdapt.AI
10/10Descripción del repositorio
10/10Topics — 20 topics
10/10Wiki
Datos de entrada utilizados
topicsprocess-automation, python, transformers, large-language-models, large-multimodal-models, large-action-model, agents, ai-agents, ai-agents-framework, anthropic, google-gemini, openai, generative-process-automation, computer-use, omniparser, computer-use-agents, desktop-automation, gui-automation, local-first, workflow-automation
has_wikisí
homepagehttps://www.OpenAdapt.AI
has_readmesí
has_docs_dirsí
has_descriptionsí

Seguridad

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

48En riesgo · 16% del índice global

Postura de seguridad

48En riesgo
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 — 17 out of 17 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 0/30 approved changesets -- score normalized to 0
2.5/2.5Contributors — project has 7 contributing companies or organizations
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 2 issue activity found in the last 90 days -- score normalized to 10
5/5Packaging — packaging workflow detected
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 — Project has not signed or included provenance with any releases.
0/7.5Token-Permissions — detected GitHub workflow tokens with excessive permissions
0/7.5Vulnerabilities — 251 existing vulnerabilities detected
Datos de entrada utilizados
sourceopenssf_scorecard
checks_evaluated17
scorecard_versionv5.5.0
checks_inconclusive1
scorecard_aggregate4,8
Excluidos de la puntuación (sin datos o no aplicable): branch_protection. 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.

69Moderado · 0% del índice global

Contexto y guía para agentes

75Bueno
Cómo se puntúa
45/45Instrucciones para agentes — CLAUDE.md
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_filesCLAUDE.md
agent_instruction_max_bytes1541
Excluidos de la puntuación (sin datos o no aplicable): Historial de commits legible. Los pesos restantes se han renormalizado.

Bucle de verificación (compilación / pruebas / verificación de tipos)

70Bueno
Cómo se puntúa
0/18Arranque con un solo comando
22/22Pruebas automatizadas
11/11Configuración de lint / formato — .eslintrc.json, .flake8
11/11Verificación estática de tipos — legacy/openadapt/app/dashboard/tsconfig.json
10/10Entorno reproducible — Dockerfile, 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_testssí
lockfilespackage-lock.json, poetry.lock, uv.lock
has_dockerfilesí
typed_languageno
bootstrap_files—
has_devcontainerno
has_linter_configsí
typecheck_configslegacy/openadapt/app/dashboard/tsconfig.json
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.

Legibilidad del código para modelos

82Bueno
Cómo se puntúa
27/45Código verificable por tipos — Python con configuración de verificación de tipos (legacy/openadapt/app/dashboard/tsconfig.json)
55/55Tamaños de archivo manejables — 0/200 archivos fuente de más de 60 KB
Datos de entrada utilizados
primary_languagePython
largest_source_bytes57.775
source_files_sampled200
oversized_source_files0

Interfaces legibles por máquina

40En riesgo
Cómo se puntúa
0/40Esquema de API (OpenAPI/GraphQL/proto)
0/20Servidor MCP
40/40Ejemplos ejecutables — examples
Datos de entrada utilizados
example_dirsexamples
has_mcp_signalno
api_schema_files—

Datos clave

1648estrellas de GitHub
18contribuidores
95commits en los últimos 12 meses
0días desde el último push
100versiones publicadas
2factor bus
0issues abiertas
PyPIecosistemas de paquetes

Más detalle

OpenSSF Scorecard 4.8 / 10
4.8agregado

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 · 2026-07-17 23:35 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-Tests17 out of 17 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 0/30 approved changesets -- score normalized to 0
10Contributorsproject has 7 contributing companies or organizations
10Dangerous-Workflowno dangerous workflow patterns detected
10Dependency-Update-Toolupdate tool detected
0Fuzzingproject is not fuzzed
10Licenselicense file detected
10Maintained30 commit(s) and 2 issue activity found in the last 90 days -- score normalized to 10
10Packagingpackaging workflow 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
0Signed-ReleasesProject has not signed or included provenance with any releases.
0Token-Permissionsdetected GitHub workflow tokens with excessive permissions
0Vulnerabilities251 existing vulnerabilities detected
Dependencias directas 2
RegistroPaqueteRestricción de versiónManifiesto
PyPIclick>=8.0.0pyproject.toml
PyPIopenadapt-flow>=1.7.0,<2.0.0pyproject.toml
Todas las dependencias 1028

Conjunto completo de dependencias resueltas según el grafo de dependencias de GitHub: 3 paquetes directos y 1025 indirectos (transitivos). El cierre transitivo es completo cuando el repositorio incluye un lockfile.

RegistroPaqueteVersiónRelación
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Informe JSON sin procesar legible por máquina
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                  {
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                "key": "openssf_scorecard_contributors",
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          },
          {
            "key": "responsiveness",
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              "merged_prs": 329,
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                "max_points": 46.75
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              {
                "key": "pr_acceptance",
                "name": "PR acceptance",
                "detail": "329/499 decided PRs merged",
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                "max_points": 38.25
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              {
                "key": "openssf_scorecard_code_review",
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          {
            "key": "stewardship",
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            "notes": [],
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              "followers": 98,
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              "is_verified": null,
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                "key": "ownership_backing",
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                "details": [
                  {
                    "code": "owner_organization",
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                ],
                "max_points": 30
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              {
                "key": "verified_domain",
                "name": "Verified domain",
                "detail": null,
                "points": 0,
                "status": "missed",
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                "max_points": 20
              },
              {
                "key": "owner_reach",
                "name": "Owner reach",
                "detail": "98 followers of OpenAdaptAI",
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                    "code": "owner_followers",
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                      "count": 98,
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                ],
                "max_points": 25
              },
              {
                "key": "track_record",
                "name": "Track record",
                "detail": "54 public repos, account ~3 yr old",
                "points": 19.1,
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                "details": [
                  {
                    "code": "public_repos",
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                      "count": 54
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                  {
                    "code": "account_age_years",
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                      "years": 3
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                ],
                "max_points": 25
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            ]
          },
          {
            "key": "package_maintenance",
            "band": "excellent",
            "name": "Package maintenance",
            "note": null,
            "notes": [],
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            "inputs": {
              "packages": [
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              "ecosystems": "pypi",
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            "components": [
              {
                "key": "published_resolvable",
                "name": "Published & resolvable",
                "detail": "1 package(s) on pypi",
                "points": 25,
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                  {
                    "code": "packages_published",
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                "max_points": 25
              },
              {
                "key": "publish_recency",
                "name": "Publish recency",
                "detail": "latest publish 0 days ago",
                "points": 35,
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                    "code": "publish_recency",
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                ],
                "max_points": 35
              },
              {
                "key": "version_history",
                "name": "Version history",
                "detail": "75 published versions",
                "points": 20,
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                "details": [
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                "key": "not_deprecated",
                "name": "Not deprecated",
                "detail": "active, not deprecated or yanked",
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                "details": [
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                    "code": "package_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": [
          {
            "key": "engineering_practices",
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                "key": "ci_workflows",
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                    "code": "ci_workflows",
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                "max_points": 24
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              {
                "key": "tests_present",
                "name": "Tests present",
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              {
                "key": "linter_config",
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                "max_points": 16
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                "key": "pre_commit_hooks",
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                "key": "editorconfig",
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              {
                "key": "openssf_scorecard_ci_tests",
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            "components": [
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                "key": "readme",
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                "key": "documentation_directory",
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                "key": "documentation_homepage_site",
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                "key": "repository_description",
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                "key": "topics",
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                "key": "wiki",
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            ]
          }
        ],
        "description": "Are baseline engineering and documentation practices in place?"
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      {
        "key": "security",
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        "name": "Security",
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                "code": "weights_renormalized",
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            "value": 48,
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            "components": [
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                "key": "binary_artifacts",
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                "detail": "no binaries found in the repo",
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              {
                "key": "branch_protection",
                "name": "Branch-Protection",
                "detail": "internal 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",
                "points": 0,
                "status": "excluded",
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                "key": "ci_tests",
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                "key": "cii_best_practices",
                "name": "CII-Best-Practices",
                "detail": "no effort to earn an OpenSSF best practices badge detected",
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              {
                "key": "code_review",
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              {
                "key": "contributors",
                "name": "Contributors",
                "detail": "project has 7 contributing companies or organizations",
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                "max_points": 2.5
              },
              {
                "key": "dangerous_workflow",
                "name": "Dangerous-Workflow",
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                "points": 10,
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                "details": [],
                "max_points": 10
              },
              {
                "key": "dependency_update_tool",
                "name": "Dependency-Update-Tool",
                "detail": "update tool detected",
                "points": 7.5,
                "status": "met",
                "details": [],
                "max_points": 7.5
              },
              {
                "key": "fuzzing",
                "name": "Fuzzing",
                "detail": "project is not fuzzed",
                "points": 0,
                "status": "missed",
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                "max_points": 5
              },
              {
                "key": "license",
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                "detail": "license file detected",
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                "status": "met",
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              },
              {
                "key": "maintained",
                "name": "Maintained",
                "detail": "30 commit(s) and 2 issue activity found in the last 90 days -- score normalized to 10",
                "points": 7.5,
                "status": "met",
                "details": [],
                "max_points": 7.5
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              {
                "key": "packaging",
                "name": "Packaging",
                "detail": "packaging workflow detected",
                "points": 5,
                "status": "met",
                "details": [],
                "max_points": 5
              },
              {
                "key": "pinned_dependencies",
                "name": "Pinned-Dependencies",
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                "points": 1.5,
                "status": "partial",
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              },
              {
                "key": "sast",
                "name": "SAST",
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                "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",
                "detail": "Project has not signed or included provenance with any releases.",
                "points": 0,
                "status": "missed",
                "details": [],
                "max_points": 7.5
              },
              {
                "key": "token_permissions",
                "name": "Token-Permissions",
                "detail": "detected GitHub workflow tokens with excessive permissions",
                "points": 0,
                "status": "missed",
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              },
              {
                "key": "vulnerabilities",
                "name": "Vulnerabilities",
                "detail": "251 existing vulnerabilities detected",
                "points": 0,
                "status": "missed",
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                "max_points": 7.5
              }
            ]
          },
          {
            "key": "high_risk_jurisdiction_exposure",
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            "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",
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            ],
            "value": 100,
            "inputs": {
              "meaning": "self-published location evidence; not nationality or citizenship",
              "red_flag": false,
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              "policy_countries": [
                "Russia",
                "Iran",
                "North Korea"
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              "review_only_matches": 0,
              "assessed_self_published_locations": 4
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            "components": [
              {
                "key": "policy_exposure_multiplier",
                "name": "Policy exposure multiplier",
                "detail": "no confirmed policy-scope location match",
                "points": 100,
                "status": "met",
                "details": [
                  {
                    "code": "jurisdiction_no_match",
                    "params": {}
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                ],
                "max_points": 100
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            ]
          }
        ],
        "description": "Are visible security and supply-chain practices strong, with no malicious dependency and no unresolved high-risk jurisdiction exposure?"
      },
      {
        "key": "ai_readiness",
        "band": "moderate",
        "name": "AI Readiness",
        "value": 69,
        "weight": 0,
        "metrics": [
          {
            "key": "ai_agent_context",
            "band": "good",
            "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",
                "params": {}
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            ],
            "value": 75,
            "inputs": {
              "has_llms_txt": false,
              "legible_history_share": null,
              "agent_instruction_files": [
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              "agent_instruction_max_bytes": 1541
            },
            "components": [
              {
                "key": "agent_instructions",
                "name": "Agent instructions",
                "detail": "CLAUDE.md",
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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 v0.12.0 — metodología completa · wiki de métricas.

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