Registro público
Informe de salud del softwareesquema 0.27.0 · métricas 1.13.0 · 2026-07-23 16:07 UTC

Genesis-Embodied-AI / gs-madrona

A fork from the official Madrona. The fork will be used for Genesis's own Madrona integration.

C++MIT★ 27 estrellas⑂ 9 forksdesde jun 2025Ver en GitHub ↗

Genesis-Embodied-AI/gs-madrona tiene un índice de salud de 60 sobre 100, lo que lo sitúa en la banda Moderado. Su puntuación más alta es Vitality (81/100) y la más baja, AI Readiness (33/100). Se actualizó por última vez hoy. Una sola persona concentra la mayor parte del trabajo reciente.

60
global / 100
Moderado

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.

60
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

Genesis AIOrganización
1930 seguidores16 repositorios públicosdesde oct 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
PyPIgs-madrona0.0.10-13hace 0 díasrenderinggraphics3dvulkanvisualizationraytracing

Métricas por categoría

Vitalidad

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

81Bueno · 22% del índice global

Actividad de desarrollo

69Moderado
Cómo se puntúa
36/36Recencia de push — último push hace 0 días
9/36Cadencia de commits — 13/52 semanas con commits
14/18Volumen de commits — 35 commits en el último año
10/10OpenSSF Scorecard: Maintained — 14 commit(s) and 0 issue activity found in the last 90 days -- score normalized to 10
Datos de entrada utilizados
commits_last_year35
human_commit_share1
days_since_last_push0
active_weeks_last_year13

Disciplina de publicación

100Excelente
Cómo se puntúa
27/27Publica versiones — 11 versiones publicadas
36/36Recencia de las versiones — última versión hace 0 días
27/27Cadencia de publicación — una versión cada ~39,1 días
0/10OpenSSF Scorecard: Signed-Releases — sin datos
Datos de entrada utilizados
releases_count11
latest_release_tagv0.0.10
releases_from_tagsno
days_since_latest_release0
mean_days_between_releases39,1
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?

39En riesgo · 18% del índice global

Popularidad y adopción

30En riesgo
Cómo se puntúa
23/60Estrellas — 27 estrellas
7.5/25Forks — 9 forks
0/15Observadores — 1 observadores
Datos de entrada utilizados
forks9
stars27
watchers1
growth_stateunverified
growth_factor_pct100
growth_unverified_reasonno_history

Salud de la comunidad

50Moderado
Cómo se puntúa
22.5/22.5README
22.5/22.5Licencia — licencia reconocida (MIT)
0/18Guía CONTRIBUTING
0/13.5Código de conducta
0/7.2Plantilla de issues
0/6.3Plantilla de PR
Datos de entrada utilizados
has_readmesí
has_licensesí
has_contributingno
has_issue_templateno
has_code_of_conductno
has_pull_request_templateno

Sostenibilidad y Gobernanza

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

70Bueno · 24% del índice global

Resiliencia de mantenedores (factor bus)

40En riesgo
Cómo se puntúa
9/54Factor bus — la mitad de los commits recae en 1 contribuyente(s)
7.2/22.5Distribución de commits — el principal contribuyente firma el 68% de los commits
13.5/13.5Amplitud de contribuyentes — 17 contribuyentes
10/10OpenSSF Scorecard: Contributors — project has 4 contributing companies or organizations
Datos de entrada utilizados
bus_factor1
contributors_sampled17
top_contributor_share0,678

Capacidad de respuesta a issues y PR

86Excelente
Cómo se puntúa
46.8/46.8Resolución de issues — 100% de issues cerradas
34.2/38.3Aceptación de PR — 59/66 PR decididos fusionados
4.5/15OpenSSF Scorecard: Code-Review — Found 11/30 approved changesets -- score normalized to 3
Datos de entrada utilizados
merged_prs59
open_issues0
closed_issues3
issue_closed_ratio1
closed_unmerged_prs7

Propiedad y custodia

68Moderado
Cómo se puntúa
30/30Respaldo de la propiedad — propiedad de una organización
0/20Dominio verificado
23.6/25Alcance del propietario — 1930 seguidores de Genesis-Embodied-AI
14.4/25Trayectoria — 16 repos públicos, cuenta de ~2 años
Datos de entrada utilizados
followers1930
owner_typeOrganization
is_verified—
owner_loginGenesis-Embodied-AI
public_repos16
account_age_days997

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 — 13 versiones en el registro
20/20No obsoleto — activo, ni obsoleto ni retirado
Datos de entrada utilizados
packagesgs-madrona
ecosystemspypi
any_deprecatedno
min_days_since_publish0

Calidad de Ingeniería

¿Existen unas prácticas mínimas de ingeniería y documentación?

52Moderado · 20% del índice global

Prácticas de ingeniería

44En riesgo
Cómo se puntúa
24/24Flujos de trabajo de CI — 1 flujo(s) de trabajo
0/24Pruebas 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_cisí
has_testsno
has_editorconfigno
has_linter_configno
has_precommit_configno

Documentación

65Moderado
Cómo se puntúa
30/30README
25/25Directorio de documentación
0/15Sitio de documentación / página del proyecto
10/10Descripción del repositorio
0/10Topics
0/10Wiki
Datos de entrada utilizados
topics—
has_wikino
homepage—
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?

52Moderado · 16% del índice global

Postura de seguridad

52Moderado
Cómo se puntúa
7.5/7.5Binary-Artifacts — no binaries found in the repo
3.8/7.5Branch-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
2.2/7.5Code-Review — Found 11/30 approved changesets -- score normalized to 3
2.5/2.5Contributors — project has 4 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 — 14 commit(s) and 0 issue activity found in the last 90 days -- score normalized to 10
5/5Packaging — packaging workflow detected
0/5Pinned-Dependencies — dependency not pinned by hash detected -- score normalized to 0
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
7.5/7.5Vulnerabilities — 0 existing vulnerabilities detected
Datos de entrada utilizados
sourceopenssf_scorecard
checks_evaluated17
scorecard_versionv5.5.0
checks_inconclusive1
scorecard_aggregate5,2
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.

33En riesgo · 0% del índice global

Contexto y guía para agentes

27Crítico
Cómo se puntúa
0/45Instrucciones para agentes — sin CLAUDE.md / AGENTS.md / reglas de editor
0/15Documentación legible por máquinas (llms.txt)
26.7/40Historial de commits legible — 50 de 100 commits humanos declaran su intención (asunto estructurado o cuerpo explicativo)
Datos de entrada utilizados
has_llms_txtno
legible_history_share0,5
agent_instruction_files—
agent_instruction_max_bytes—

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

13Crítico
Cómo se puntúa
0/18Arranque con un solo comando
0/22Pruebas automatizadas
0/11Configuración de lint / formato
11/11Verificación estática de tipos — C++ (tipado estático)
0/10Entorno reproducible
2/10Práctica demostrada con agentes — 1 de los últimos 100 commits con autoría o crédito de agente
0/8Mantenimiento automatizado — no se observan actualizaciones automáticas de dependencias
0/10OpenSSF Scorecard: Pinned-Dependencies — dependency not pinned by hash detected -- score normalized to 0
Datos de entrada utilizados
has_nixno
has_testsno
lockfiles—
has_dockerfileno
typed_languagesí
bootstrap_files—
has_devcontainerno
has_linter_configno
typecheck_configs—
agent_commit_share0,01
toolchain_manifests—
dependency_bot_commit_share0

Legibilidad del código para modelos

99Excelente
Cómo se puntúa
45/45Código verificable por tipos — C++ (tipado estático)
54/55Tamaños de archivo manejables — 3/164 archivos fuente de más de 60 KB
Datos de entrada utilizados
primary_languageC++
largest_source_bytes101.946
source_files_sampled164
oversized_source_files3

Datos clave

27estrellas de GitHub
17contribuidores
35commits en los últimos 12 meses
0días desde el último push
11versiones publicadas
1factor bus
0issues abiertas
PyPIecosistemas de paquetes

Advertencias de recopilación de datos

  • Star history unavailable: GitHub GraphQL error: Resource not accessible by personal access token
  • deps.dev does not index pypi:gs-madrona@0.0.10; advisories assessed against the repository dependency graph instead
  • No resolved dependencies carried a version and a supported ecosystem

Más detalle

Historial de estrellas y forks 0 ★ / 9 ⇿
0Estrellas
9Forks
8Versiones

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

0246810912025-072026-012026-07
Mayor 0Menor 0Parche 5
OpenSSF Scorecard 5.2 / 10
5.2agregado

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 · 2026-07-23 16:06 UTC

10Binary-Artifactsno binaries found in the repo
5Branch-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
3Code-ReviewFound 11/30 approved changesets -- score normalized to 3
10Contributorsproject has 4 contributing companies or organizations
10Dangerous-Workflowno dangerous workflow patterns detected
0Dependency-Update-Toolno update tool detected
0Fuzzingproject is not fuzzed
10Licenselicense file detected
10Maintained14 commit(s) and 0 issue activity found in the last 90 days -- score normalized to 10
10Packagingpackaging workflow detected
0Pinned-Dependenciesdependency not pinned by hash detected -- score normalized to 0
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
10Vulnerabilities0 existing vulnerabilities detected
Dependencias directas 2
RegistroPaqueteRestricción de versiónManifiesto
PyPInvidia-cuda-nvrtc-cu12>=12.8pyproject.toml
PyPInvidia-nvjitlink-cu12>=12.8pyproject.toml
Todas las dependencias 5

Conjunto completo de dependencias resueltas según el grafo de dependencias de GitHub: 2 paquetes directos y 3 indirectos (transitivos). El cierre transitivo es completo cuando el repositorio incluye un lockfile.

RegistroPaqueteVersiónRelación
PyPInvidia-cuda-nvrtc-cu12—directa
PyPInvidia-nvjitlink-cu12—directa
PyPInanobind—indirecta
PyPIscikit-build-core—indirecta
PyPIsetuptools-scm—indirecta
Avisos de dependencias sin evaluar

El cotejo de avisos no pudo ejecutarse para este informe: No resolved dependencies carried a version and a supported ecosystem

Informe JSON sin procesar legible por máquina
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          "headline": "Add per-environment geom visibility mask for heterogeneous entities (…",
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          "headline": "[Feature] Add fisheye rasterized rendering (#44)",
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          "headline": "[Feature] Support Batch Textures (#46)",
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          "body": "* Fix segmentation fault.\n* Update pyproject.toml",
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          "headline": "Fix segmentation fault. (#39)",
          "author_name": "Alexis DUBURCQ",
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          "headline": "[MISC] Update demo for gs-madrona (#35)",
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          "headline": "[Feature] Add colored and attenuating light. (#34)",
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          "headline": "[Feature] Support madrona normal and segmentation render. (#24)",
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          "headline": "Remove unecessary linking on 'nvrtc_static'. (#31)",
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          "headline": "Do not raise exception if impossible to set heap size on device. (#30)",
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          "is_bot": false,
          "headline": "Update project description. (#29)",
          "author_name": "Alexis DUBURCQ",
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          "headline": "Fix flipped 'use_rasterizer' toggle-flag after PR#26. (#28)",
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          "author_login": "duburcqa",
          "committed_at": "2025-07-30T20:49:41Z",
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          "is_bot": false,
          "headline": "Do not run CI on push. (#27)",
          "author_name": "Alexis DUBURCQ",
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          "committed_at": "2025-07-29T13:23:50Z",
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          "headline": "Deploy wheels on PyPI upon release publish. (#26)",
          "author_name": "Alexis DUBURCQ",
          "author_login": "duburcqa",
          "committed_at": "2025-07-29T13:22:39Z",
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          "oid": "d83c2692f3b766b640f23d3fe2655b19eba699e1",
          "body": "* Do not raise error if wheels already found on PyPI.\n* Update README.\n* Update release patch tag.\n* Fix inverted 'use_rasterizer' flag.",
          "is_bot": false,
          "headline": "Various minor improvements. (#25)",
          "author_name": "Alexis DUBURCQ",
          "author_login": "duburcqa",
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          "body": "* Add path fallback for Vulkan SDK loading.\n* Update nanobind version.\n* Replace MJX (Mujoco Jax) naming by GS.\n* Cleanup Python import ordering.\n* Avoid dynamic linking on Cuda Driver Runtime.\n* Disable verbose by default.\n* Refactor build system.\n* Set cache directory using env var.\n* Add cibuildwheel config.\n* Add CI for building Linux Python wheels.",
          "is_bot": false,
          "headline": "[MISC] Publish pre-compiled binaries on PyPI. (#21)",
          "author_name": "Alexis DUBURCQ",
          "author_login": "duburcqa",
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          "headline": "Only define certain MACROs when they are not defined yet in CUDA (#23)",
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          "body": "* modify readme\n\n* more changes",
          "is_bot": false,
          "headline": "modify readme (#22)",
          "author_name": "YilingQiao",
          "author_login": "YilingQiao",
          "committed_at": "2025-07-23T01:44:55Z",
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          "headline": "Fix performance benchmark section in README (#19)",
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          "committed_at": "2025-07-18T05:38:27Z",
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          "oid": "30cbe929c472e7e2deaef292effb87cc1b6ea5fd",
          "body": "* Update README and example perf report\n\n* Update acknoledgement\n\n* Addressed PR feedbacks and Updated README.md\n\n* Minor wording fix\n\n* Reword integrated with connected.\nReduce width of images to 600\nReplace instructions of creating virtual environment with venv\nUpdate repo link to point to Genesis\n[…]\nd feedback\n\n* Replace more occurrences of Genesis with links\n\n* sequantial rendering -> sequantial processing\n\n* 3rd round update\n\n* round 3, second batch\n\n* No more general purpose\n\n* Update 4th wave",
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          "headline": "Update README and example performance benchmark report (#18)",
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          "headline": "Enable Vulkan validation layer and debug shader in debug build (#17)",
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          "headline": "Shadow map implemetation for Madrona rasterizer (#16)",
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          "body": "* Add performance benchmark scripts\n\n* Update gitignore.\nUpdate README.md with instruction to run performance benchmark\n\n* Update Readme with steps to install IsaacLab and Maniskill\n\n* Black format files\n\n* Improve continue_from\n\n* Update report generation script",
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          "headline": "Add benchmark script to gs-madrona (#14)",
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          "body": "… (#15)",
          "is_bot": false,
          "headline": "Implemented antialiasing for the rasterizer and options to control it…",
          "author_name": "Rachid El Guerrab",
          "author_login": "Rush2k",
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          "body": "* Working render options to control output or rgb/depth/normal/segmentation\n\n* Support depth-only render with null Pixel Shader and no color attachments.",
          "is_bot": false,
          "headline": "Control rgb and depth rendering separately (#12)",
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          "body": "* Shadowing works\n\n* clean up",
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          "headline": "Enable shadowing for raytracer pipeline (#13)",
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          "body": "* update readme\n\n* rename\n\n* Render all cameras\n\n* Rename folder\n\n* Use torch",
          "is_bot": false,
          "headline": "Rename to gs madrona (#11)",
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          "body": "Co-authored-by: Hongyi Yu <hongyi.yu@genesis-ai.company>",
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          "headline": "Add debug cam obj (#10)",
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          "is_bot": false,
          "headline": "Update Madrona rendering code (#9)",
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          "author_login": "yuhongyi",
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          "oid": "c2cbecf5e0248ae0fc087fae67d095a3e4635a4e",
          "body": "…ng (#5)\n\n* Update shaders for madrona to support Genesis batch rendering\n\n* Address PR comments\n\n* Make ambient a global\n\n---------\n\nCo-authored-by: Hongyi Yu <hongyi.yu@genesis-ai.company>",
          "is_bot": false,
          "headline": "[Feature] Update shaders for madrona to support Genesis batch renderi…",
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          "committed_at": "2025-06-17T21:32:23Z",
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          "body": "* Update raytracing code\n\n* Update one more\n\n---------\n\nCo-authored-by: Hongyi Yu <hongyi.yu@genesis-ai.company>",
          "is_bot": false,
          "headline": "Update raytracing code (#6)",
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          "oid": "1f891a68ff391a337b247359298621571a8b4d1b",
          "body": "* Update visualization code for viewer\n\n* Remove LightConfig. Update LightDesc\n\n---------\n\nCo-authored-by: Hongyi Yu <hongyi.yu@genesis-ai.company>",
          "is_bot": false,
          "headline": "[Feature] Unify data structure for lights (#8)",
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          "oid": "5bd255c1933d0469f659eafec21e0d38ea4e56e3",
          "body": "* Integrate Madrona_GS\n\n* Update .gitignore\n\n* Remove -b release from install instructions\n\n---------\n\nCo-authored-by: Hongyi Yu <hongyi.yu@genesis-ai.company>",
          "is_bot": false,
          "headline": "Integrate Madrona_GS (#4)",
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          "is_bot": false,
          "headline": "Update python (#7)",
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          "body": "* python format and git ignore\n\n* delete testing",
          "is_bot": false,
          "headline": "Add CI for python format check (#3)",
          "author_name": "YilingQiao",
          "author_login": "YilingQiao",
          "committed_at": "2025-06-13T16:58:17Z",
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        {
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            "name": "Dangerous-Workflow",
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            "reason": "no dangerous workflow patterns detected",
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          {
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            "reason": "security policy file not detected",
            "documentation_url": "https://github.com/ossf/scorecard/blob/c395761df6afe1a69e476bc60a013a94bcbc153f/docs/checks.md#security-policy"
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                  {
                    "code": "account_age_years",
                    "params": {
                      "years": 2
                    }
                  }
                ],
                "max_points": 25
              }
            ]
          },
          {
            "key": "package_maintenance",
            "band": "excellent",
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            "note": null,
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                "key": "published_resolvable",
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      {
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                "key": "fuzzing",
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                "key": "packaging",
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                "key": "vulnerabilities",
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  "warnings": [
    "Star history unavailable: GitHub GraphQL error: Resource not accessible by personal access token",
    "deps.dev does not index pypi:gs-madrona@0.0.10; advisories assessed against the repository dependency graph instead",
    "No resolved dependencies carried a version and a supported ecosystem"
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  "full_name": "Genesis-Embodied-AI/gs-madrona",
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  "license_spdx": "MIT"
}

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Las puntuaciones son señales, no garantías. Reflejan prácticas públicamente visibles en GitHub; no son una auditoría de código ni una garantía de seguridad.

Los datos ausentes se excluyen y los pesos se renormalizan; nunca se puntúan como cero. La metodología es versionada y abierta: métricas v1.13.0, esquema v0.27.0 — metodología completa · wiki de métricas.

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