Registro público
Informe de salud del softwareesquema 0.11.0 · métricas 1.13.0 · 2026-07-15 02:45 UTC

durandtibo / zenpyre

Utilities for LangChain

PythonBSD-3-Clause★ 0 estrellas⑂ 0 forksdesde jun 2026Ver en GitHub ↗

durandtibo/zenpyre tiene un índice de salud de 50 sobre 100, lo que lo sitúa en la banda Moderado. Su puntuación más alta es Engineering Quality (90/100) y la más baja, Community & Adoption (24/100). Se actualizó por última vez hoy. Una sola persona concentra la mayor parte del trabajo reciente.

50
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.

50
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

Thibaut DurandCuenta personal
108 seguidores64 repositorios públicosdesde nov 2014Borealis AI

Este repositorio pertenece a una cuenta personal. Un proyecto con un único propietario conlleva más riesgo de continuidad que uno respaldado por una organización.

Ecosistemas de paquetes

RegistroPaqueteVersiónDescargas / mesVersionesÚltima publicaciónEtiquetas
PyPIzenpyre0.0.1a60-61hace 0 díasagentlangchain

Métricas por categoría

Vitalidad

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

34En riesgo · 22% del índice global
Cómo se puntúa
36/36Recencia de push — último push hace 0 días
2.1/36Cadencia de commits — 3/52 semanas con commits
18/18Volumen de commits — 341 commits en el último año
0/10OpenSSF Scorecard: Maintained — project was created within the last 90 days. Please review its contents carefully
Datos de entrada utilizados
commits_last_year341
human_commit_share
days_since_last_push0
active_weeks_last_year3
Cómo se puntúa
0/27Publica versiones — sin versiones publicadas
0/36Recencia de las versiones — sin versiones
0/27Cadencia de publicación — sin versiones
0/10OpenSSF Scorecard: Signed-Releases — sin datos
Datos de entrada utilizados
releases_count0
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
22.5/22.5README
22.5/22.5Licencia — licencia reconocida (BSD-3-Clause)
0/18Guía CONTRIBUTING
0/13.5Código de conducta
0/7.2Plantilla de issues
0/6.3Plantilla de PR
Datos de entrada utilizados
has_readme
has_license
has_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?

57Moderado · 24% del índice global
Cómo se puntúa
9/54Factor bus — la mitad de los commits recae en 1 contribuyente(s)
0.9/22.5Distribución de commits — el principal contribuyente firma el 96% de los commits
4.1/13.5Amplitud de contribuyentes — 3 contribuyentes
6/10OpenSSF Scorecard: Contributors — project has 2 contributing companies or organizations -- score normalized to 6
Datos de entrada utilizados
bus_factor1
contributors_sampled3
top_contributor_share0,962
Cómo se puntúa
23.4/46.8Resolución de issues — 50% de issues cerradas
38.1/38.3Aceptación de PR — 340/341 PR decididos fusionados
0/15OpenSSF Scorecard: Code-Review — Found 0/29 approved changesets -- score normalized to 0
Datos de entrada utilizados
merged_prs340
open_issues1
closed_issues1
issue_closed_ratio0,5
closed_unmerged_prs1
Cómo se puntúa
10/30Respaldo de la propiedad — cuenta personal (usuario)
0/20Dominio verificado — no aplicable a cuentas de usuario
14.6/25Alcance del propietario — 108 seguidores de durandtibo
25/25Trayectoria — 64 repos públicos, cuenta de ~11 años
Datos de entrada utilizados
followers108
owner_typeUser
is_verified
owner_logindurandtibo
public_repos64
account_age_days4251
Excluidos de la puntuación (sin datos o no aplicable): Dominio verificado. Los pesos restantes se han renormalizado.
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 — 61 versiones en el registro
20/20No obsoleto — activo, ni obsoleto ni retirado
Datos de entrada utilizados
packageszenpyre
ecosystemspypi
any_deprecatedno
min_days_since_publish0

Calidad de Ingeniería

¿Existen unas prácticas mínimas de ingeniería y documentación?

90Excelente · 20% del índice global
Cómo se puntúa
24/24Flujos de trabajo de CI — 26 flujo(s) de trabajo
24/24Pruebas presentes
16/16Configuración de linter
9.6/9.6Hooks de pre-commit
0/6.4.editorconfig
16/20OpenSSF Scorecard: CI-Tests — 26 out of 30 merged PRs checked by a CI test -- score normalized to 8
Datos de entrada utilizados
has_ci
has_tests
has_editorconfigno
has_linter_config
has_precommit_config

Documentación

90Excelente
Cómo se puntúa
30/30README
25/25Directorio de documentación
15/15Sitio de documentación / página del proyecto — https://durandtibo.github.io/zenpyre/
10/10Descripción del repositorio
0/10Topics
10/10Wiki
Datos de entrada utilizados
topics
has_wiki
homepagehttps://durandtibo.github.io/zenpyre/
has_readme
has_docs_dir
has_description

Seguridad

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

41En riesgo · 16% del índice global
Cómo se puntúa
7.5/7.5Binary-Artifacts — no binaries found in the repo
0/7.5Branch-Protection — branch protection not enabled on development/release branches
2/2.5CI-Tests — 26 out of 30 merged PRs checked by a CI test -- score normalized to 8
0/2.5CII-Best-Practices — no effort to earn an OpenSSF best practices badge detected
0/7.5Code-Review — Found 0/29 approved changesets -- score normalized to 0
1.5/2.5Contributors — project has 2 contributing companies or organizations -- score normalized to 6
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
0/7.5Maintained — project was created within the last 90 days. Please review its contents carefully
0/5Packaging — sin datos
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
6.8/7.5Vulnerabilities — 1 existing vulnerabilities detected
Datos de entrada utilizados
sourceopenssf_scorecard
checks_evaluated16
scorecard_versionv5.5.0
checks_inconclusive2
scorecard_aggregate4,1
Excluidos de la puntuación (sin datos o no aplicable): packaging, signed_releases. Los pesos restantes se han renormalizado.

Preparación para IA

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

66Moderado · 0% del índice global
Cómo se puntúa
18/45Instrucciones para agentes — docs/docs/refs/agents.md (esbozo)
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_filesdocs/docs/refs/agents.md
agent_instruction_max_bytes46
Excluidos de la puntuación (sin datos o no aplicable): Historial de commits legible. Los pesos restantes se han renormalizado.
Cómo se puntúa
18/18Arranque con un solo comando — Makefile
22/22Pruebas automatizadas
11/11Configuración de lint / formato
11/11Verificación estática de tipos — src/zenpyre/py.typed
10/10Entorno reproducible — lockfile
0/10Práctica demostrada con agentes — sin datos
5/8Mantenimiento automatizado — automatización de dependencias configurada, no observada en los commits muestreados
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_filesMakefile
has_devcontainerno
has_linter_config
typecheck_configssrc/zenpyre/py.typed
agent_commit_share
toolchain_manifests
dependency_bot_commit_share0
Excluidos de la puntuación (sin datos o no aplicable): Práctica demostrada con agentes. Los pesos restantes se han renormalizado.
Cómo se puntúa
27/45Código verificable por tipos — Python con configuración de verificación de tipos (src/zenpyre/py.typed)
55/55Tamaños de archivo manejables — 0/390 archivos fuente de más de 60 KB
Datos de entrada utilizados
primary_languagePython
largest_source_bytes30.470
source_files_sampled390
oversized_source_files0

Datos clave

0estrellas de GitHub
3contribuidores
341commits en los últimos 12 meses
0días desde el último push
0versiones publicadas
1factor bus
1issues abiertas
PyPIecosistemas de paquetes

Más detalle

OpenSSF Scorecard 4.1 / 10
4.1agregado

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 02:45 UTC

10Binary-Artifactsno binaries found in the repo
0Branch-Protectionbranch protection not enabled on development/release branches
8CI-Tests26 out of 30 merged PRs checked by a CI test -- score normalized to 8
0CII-Best-Practicesno effort to earn an OpenSSF best practices badge detected
0Code-ReviewFound 0/29 approved changesets -- score normalized to 0
6Contributorsproject has 2 contributing companies or organizations -- score normalized to 6
10Dangerous-Workflowno dangerous workflow patterns detected
10Dependency-Update-Toolupdate tool detected
0Fuzzingproject is not fuzzed
10Licenselicense file detected
0Maintainedproject was created within the last 90 days. Please review its contents carefully
n/dPackagingpackaging workflow not 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
9Vulnerabilities1 existing vulnerabilities detected
Dependencias directas 8
RegistroPaqueteRestricción de versiónManifiesto
PyPIcoola>=1.1.9a3,<2.0pyproject.toml
PyPIiden>= 0.4.1,<1.0pyproject.toml
PyPIlangchain-core>=1.4,<2.0pyproject.toml
PyPIlangchain>=1.3,<2.0pyproject.toml
PyPIlanggraph>=1.2,<2.0pyproject.toml
PyPIobjectory>=0.3,<1.0pyproject.toml
PyPIpydantic>=2.10,<3.0pyproject.toml
PyPIrich>=15.0,<16.0pyproject.toml
Todas las dependencias 220

Conjunto completo de dependencias resueltas según el grafo de dependencias de GitHub: 8 paquetes directos y 212 indirectos (transitivos). El cierre transitivo es completo cuando el repositorio incluye un lockfile.

RegistroPaqueteVersiónRelación
PyPIcoola1.1.9a3directa
PyPIiden0.4.1directa
PyPIlangchain1.3.13directa
PyPIlangchain-core1.4.9directa
PyPIlanggraph1.2.9directa
PyPIobjectory0.3.1directa
PyPIpydantic2.13.4directa
PyPIrich15.0.0directa
PyPIaiohappyeyeballs2.7.1indirecta
PyPIaiohttp3.14.1indirecta
PyPIaiosignal1.4.0indirecta
PyPIannotated-doc0.0.4indirecta
PyPIannotated-types0.7.0indirecta
PyPIanthropic0.116.0indirecta
PyPIanyio4.14.1indirecta
PyPIattrs26.1.0indirecta
PyPIbabel2.18.0indirecta
PyPIbackrefs7.0indirecta
PyPIbcrypt5.0.0indirecta
PyPIblack26.5.1indirecta
PyPIbracex3.0indirecta
PyPIbuild1.5.1indirecta
PyPIcertifi2026.6.17indirecta
PyPIcffi2.1.0indirecta
PyPIcfgv3.5.0indirecta
PyPIcharset-normalizer3.4.9indirecta
PyPIchromadb1.5.9indirecta
PyPIclick8.4.2indirecta
PyPIcolorama0.4.6indirecta
PyPIcoverage7.15.0indirecta
PyPIcryptography49.0.0indirecta
PyPIcuda-bindings13.3.1indirecta
PyPIcuda-pathfinder1.5.6indirecta
PyPIcuda-toolkit13.0.3.0indirecta
PyPIdistlib0.4.3indirecta
PyPIdistro1.9.0indirecta
PyPIdocformatter1.7.8indirecta
PyPIdocstring-parser0.18.0indirecta
PyPIduckdb1.5.4indirecta
PyPIdurationpy0.10indirecta
PyPIexceptiongroup1.3.1indirecta
PyPIfaker40.28.1indirecta
PyPIfeu0.7.2indirecta
PyPIfilelock3.29.7indirecta
PyPIfiletype1.2.0indirecta
PyPIflatbuffers25.12.19indirecta
PyPIfrozenlist1.8.0indirecta
PyPIfsspec2026.6.0indirecta
PyPIghp-import2.1.0indirecta
PyPIgitdb4.0.12indirecta
PyPIgitpython3.1.51indirecta
PyPIgoogle-auth2.55.2indirecta
PyPIgoogle-genai2.11.0indirecta
PyPIgoogleapis-common-protos1.75.0indirecta
PyPIgriffelib2.1.0indirecta
PyPIgrpcio1.82.1indirecta
PyPIh110.16.0indirecta
PyPIhf-xet1.5.1indirecta
PyPIhttpcore1.0.9indirecta
PyPIhttptools0.8.0indirecta
PyPIhttpx0.28.1indirecta
PyPIhuggingface-hub1.23.0indirecta
PyPIidentify2.6.19indirecta
PyPIidna3.18indirecta
PyPIimportlib-resources7.1.0indirecta
PyPIiniconfig2.3.0indirecta
PyPIinvoke3.0.3indirecta
PyPIjinja23.1.6indirecta
PyPIjiter0.16.0indirecta
PyPIjoblib1.5.3indirecta
PyPIjsonpatch1.33indirecta
PyPIjsonpointer3.1.1indirecta
PyPIjsonschema4.26.0indirecta
PyPIjsonschema-specifications2025.9.1indirecta
PyPIkubernetes36.0.2indirecta
PyPIlangchain-anthropic1.4.8indirecta
PyPIlangchain-chroma1.1.0indirecta
PyPIlangchain-google-genai4.2.7indirecta
PyPIlangchain-huggingface1.2.2indirecta
PyPIlangchain-ollama1.1.0indirecta
PyPIlangchain-openai1.3.5indirecta
PyPIlangchain-protocol0.0.18indirecta
PyPIlangchain-text-splitters1.1.2indirecta
PyPIlanggraph-checkpoint4.1.1indirecta
PyPIlanggraph-prebuilt1.1.0indirecta
PyPIlanggraph-sdk0.4.2indirecta
PyPIlangsmith0.10.2indirecta
PyPImarkdown3.10.2indirecta
PyPImarkdown-it-py4.2.0indirecta
PyPImarkupsafe3.0.3indirecta
PyPImdurl0.1.2indirecta
PyPImergedeep1.3.4indirecta
PyPImike2.2.0indirecta
PyPImkdocs1.6.1indirecta
PyPImkdocs-autorefs1.4.4indirecta
PyPImkdocs-get-deps0.2.2indirecta
PyPImkdocs-include-markdown-plugin7.3.0indirecta
PyPImkdocs-material9.7.6indirecta
PyPImkdocs-material-extensions1.3.1indirecta
PyPImkdocstrings1.0.6indirecta
PyPImkdocstrings-python2.0.5indirecta
PyPImmh35.2.1indirecta
PyPImpmath1.3.0indirecta
PyPImultidict6.7.1indirecta
PyPImypy-extensions1.1.0indirecta
PyPInarwhals2.23.0indirecta
PyPInetworkx3.6.1indirecta
PyPInetworkx3.4.2indirecta
PyPInodeenv1.10.0indirecta
PyPInumpy2.2.6indirecta
PyPInumpy2.4.6indirecta
PyPInumpy2.5.1indirecta
PyPInvidia-cublas13.1.1.3indirecta
PyPInvidia-cuda-cupti13.0.85indirecta
PyPInvidia-cuda-nvrtc13.0.88indirecta
PyPInvidia-cuda-runtime13.0.96indirecta
PyPInvidia-cudnn-cu139.20.0.48indirecta
PyPInvidia-cufft12.0.0.61indirecta
PyPInvidia-cufile1.15.1.6indirecta
PyPInvidia-curand10.4.0.35indirecta
PyPInvidia-cusolver12.0.4.66indirecta
PyPInvidia-cusparse12.6.3.3indirecta
PyPInvidia-cusparselt-cu130.8.1indirecta
PyPInvidia-nccl-cu132.29.7indirecta
PyPInvidia-nvjitlink13.3.33indirecta
PyPInvidia-nvshmem-cu133.4.5indirecta
PyPInvidia-nvtx13.0.85indirecta
PyPIoauthlib3.3.1indirecta
PyPIollama0.6.2indirecta
PyPIonnxruntime1.27.0indirecta
PyPIopenai2.45.0indirecta
PyPIopentelemetry-api1.43.0indirecta
PyPIopentelemetry-exporter-otlp-proto-common1.43.0indirecta
PyPIopentelemetry-exporter-otlp-proto-grpc1.43.0indirecta
PyPIopentelemetry-proto1.43.0indirecta
PyPIopentelemetry-sdk1.43.0indirecta
PyPIopentelemetry-semantic-conventions0.64b0indirecta
PyPIorjson3.11.9indirecta
PyPIormsgpack1.12.2indirecta
PyPIoverrides7.7.0indirecta
PyPIpackaging26.2indirecta
PyPIpaginate0.5.7indirecta
PyPIpathspec1.1.1indirecta
PyPIplatformdirs4.10.0indirecta
PyPIpluggy1.6.0indirecta
PyPIpolars1.42.1indirecta
PyPIpolars-runtime-321.42.1indirecta
PyPIpre-commit4.6.0indirecta
PyPIpropcache0.5.2indirecta
PyPIprotobuf7.35.1indirecta
PyPIpyasn10.6.4indirecta
PyPIpyasn1-modules0.4.2indirecta
PyPIpybase641.4.3indirecta
PyPIpycparser3.0indirecta
PyPIpydantic-core2.46.4indirecta
PyPIpydantic-settings2.14.2indirecta
PyPIpygments2.20.0indirecta
PyPIpymdown-extensions11.0.1indirecta
PyPIpyparsing3.3.2indirecta
PyPIpypika0.51.1indirecta
PyPIpyproject-hooks1.2.0indirecta
PyPIpyright1.1.411indirecta
PyPIpytest9.1.1indirecta
PyPIpytest-cov7.1.0indirecta
PyPIpytest-timeout2.4.0indirecta
PyPIpython-dateutil2.9.0.post0indirecta
PyPIpython-discovery1.4.4indirecta
PyPIpython-dotenv1.2.2indirecta
PyPIpytokens0.4.1indirecta
PyPIpyyaml6.0.3indirecta
PyPIpyyaml-env-tag1.1indirecta
PyPIreferencing0.37.0indirecta
PyPIregex2026.7.10indirecta
PyPIrequests2.34.2indirecta
PyPIrequests-oauthlib2.0.0indirecta
PyPIrequests-toolbelt1.0.0indirecta
PyPIrpds-py2026.6.3indirecta
PyPIruff0.15.21indirecta
PyPIsafetensors0.8.0indirecta
PyPIscikit-learn1.9.0indirecta
PyPIscikit-learn1.7.2indirecta
PyPIscipy1.18.0indirecta
PyPIscipy1.17.1indirecta
PyPIscipy1.15.3indirecta
PyPIsentence-transformers5.6.0indirecta
PyPIsetuptools83.0.0indirecta
PyPIshellingham1.5.4indirecta
PyPIsix1.17.0indirecta
PyPIsmmap5.0.3indirecta
PyPIsniffio1.3.1indirecta
PyPIsympy1.14.0indirecta
PyPItenacity9.1.4indirecta
PyPIthreadpoolctl3.6.0indirecta
PyPItiktoken0.13.0indirecta
PyPItokenizers0.22.2indirecta
PyPItomli2.4.1indirecta
PyPItorch2.13.0indirecta
PyPItqdm4.68.4indirecta
PyPItransformers5.13.1indirecta
PyPItriton3.7.1indirecta
PyPItyper0.26.8indirecta
PyPItyping-extensions4.16.0indirecta
PyPItyping-inspection0.4.2indirecta
PyPItzdata2026.3indirecta
PyPIurllib32.7.0indirecta
PyPIuuid-utils0.17.0indirecta
PyPIuvicorn0.51.0indirecta
PyPIuvloop0.22.1indirecta
PyPIverspec0.1.0indirecta
PyPIvirtualenv21.6.1indirecta
PyPIwatchdog6.0.0indirecta
PyPIwatchfiles1.2.0indirecta
PyPIwcmatch11.0indirecta
PyPIwebsocket-client1.9.0indirecta
PyPIwebsockets15.0.1indirecta
PyPIxdoctest1.3.2indirecta
PyPIxxhash3.8.1indirecta
PyPIyarl1.24.2indirecta
PyPIzenpyre0.0.1a58indirecta
PyPIzstandard0.25.0indirecta
Informe JSON sin procesar legible por máquina
{
  "data": {
    "repo": {
      "topics": [],
      "is_fork": false,
      "size_kb": 3301,
      "has_wiki": true,
      "homepage": "https://durandtibo.github.io/zenpyre/",
      "languages": {
        "Shell": 1256,
        "Python": 1618132,
        "Makefile": 1168
      },
      "pushed_at": "2026-07-15T02:31:38Z",
      "created_at": "2026-06-25T21:18:34Z",
      "owner_type": "User",
      "updated_at": "2026-07-14T19:48:33Z",
      "description": "Utilities for LangChain",
      "is_archived": false,
      "is_disabled": false,
      "license_spdx": "BSD-3-Clause",
      "default_branch": "main",
      "primary_language": "Python",
      "significant_languages": [
        "Python"
      ]
    },
    "owner": {
      "blog": "https://durandtibo.github.io/",
      "name": "Thibaut Durand",
      "type": "User",
      "login": "durandtibo",
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                "key": "openssf_scorecard_contributors",
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            "inputs": {
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                "key": "owner_reach",
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                "key": "fuzzing",
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                "key": "packaging",
                "name": "Packaging",
                "detail": "packaging workflow not detected",
                "points": 0,
                "status": "excluded",
                "details": [
                  {
                    "code": "no_data",
                    "params": {}
                  }
                ],
                "max_points": 5
              },
              {
                "key": "pinned_dependencies",
                "name": "Pinned-Dependencies",
                "detail": "dependency not pinned by hash detected -- score normalized to 0",
                "points": 0,
                "status": "missed",
                "details": [],
                "max_points": 5
              },
              {
                "key": "sast",
                "name": "SAST",
                "detail": "SAST tool is not run on all commits -- score normalized to 0",
                "points": 0,
                "status": "missed",
                "details": [],
                "max_points": 5
              },
              {
                "key": "security_policy",
                "name": "Security-Policy",
                "detail": "security policy file not detected",
                "points": 0,
                "status": "missed",
                "details": [],
                "max_points": 5
              },
              {
                "key": "signed_releases",
                "name": "Signed-Releases",
                "detail": "no releases found",
                "points": 0,
                "status": "excluded",
                "details": [
                  {
                    "code": "no_data",
                    "params": {}
                  }
                ],
                "max_points": 7.5
              },
              {
                "key": "token_permissions",
                "name": "Token-Permissions",
                "detail": "detected GitHub workflow tokens with excessive permissions",
                "points": 0,
                "status": "missed",
                "details": [],
                "max_points": 7.5
              },
              {
                "key": "vulnerabilities",
                "name": "Vulnerabilities",
                "detail": "1 existing vulnerabilities detected",
                "points": 6.8,
                "status": "partial",
                "details": [],
                "max_points": 7.5
              }
            ]
          },
          {
            "key": "high_risk_jurisdiction_exposure",
            "band": "excellent",
            "name": "High-Risk Jurisdiction Exposure",
            "note": "Only high-confidence self-published location evidence affects this multiplier. Ambiguous matches are review-only; country evidence is not proof of nationality, citizenship, legal registration, malicious intent, or sanctions status.",
            "notes": [
              {
                "code": "jurisdiction_evidence_limits",
                "params": {}
              }
            ],
            "value": 100,
            "inputs": {
              "meaning": "self-published location evidence; not nationality or citizenship",
              "red_flag": false,
              "exposures": [],
              "policy_countries": [
                "Russia",
                "Iran",
                "North Korea"
              ],
              "review_only_matches": 0,
              "assessed_self_published_locations": 2
            },
            "components": [
              {
                "key": "policy_exposure_multiplier",
                "name": "Policy exposure multiplier",
                "detail": "no confirmed policy-scope location match",
                "points": 100,
                "status": "met",
                "details": [
                  {
                    "code": "jurisdiction_no_match",
                    "params": {}
                  }
                ],
                "max_points": 100
              }
            ]
          }
        ],
        "description": "Are visible security and supply-chain practices strong, with no malicious dependency and no unresolved high-risk jurisdiction exposure?"
      },
      {
        "key": "ai_readiness",
        "band": "moderate",
        "name": "AI Readiness",
        "value": 66,
        "weight": 0,
        "metrics": [
          {
            "key": "ai_agent_context",
            "band": "at_risk",
            "name": "Agent context & guidance",
            "note": "Excluded from scoring (no data or not applicable): Legible commit history. Remaining weights renormalized.",
            "notes": [
              {
                "code": "excluded_no_data",
                "params": {
                  "components": [
                    "legible_commit_history"
                  ]
                }
              },
              {
                "code": "weights_renormalized",
                "params": {}
              }
            ],
            "value": 30,
            "inputs": {
              "has_llms_txt": false,
              "legible_history_share": null,
              "agent_instruction_files": [
                "docs/docs/refs/agents.md"
              ],
              "agent_instruction_max_bytes": 46
            },
            "components": [
              {
                "key": "agent_instructions",
                "name": "Agent instructions",
                "detail": "docs/docs/refs/agents.md (stub)",
                "points": 18,
                "status": "partial",
                "details": [
                  {
                    "code": "file_list",
                    "params": {
                      "files": "docs/docs/refs/agents.md"
                    }
                  },
                  {
                    "code": "agent_instructions_stub",
                    "params": {}
                  }
                ],
                "max_points": 45
              },
              {
                "key": "machine_readable_docs_llms_txt",
                "name": "Machine-readable docs (llms.txt)",
                "detail": null,
                "points": 0,
                "status": "missed",
                "details": [],
                "max_points": 15
              },
              {
                "key": "legible_commit_history",
                "name": "Legible commit history",
                "detail": "no data",
                "points": 0,
                "status": "excluded",
                "details": [
                  {
                    "code": "no_data",
                    "params": {}
                  }
                ],
                "max_points": 40
              }
            ]
          },
          {
            "key": "ai_verify_loop",
            "band": "excellent",
            "name": "Verify loop (build / test / typecheck)",
            "note": "Excluded from scoring (no data or not applicable): Demonstrated agent practice. Remaining weights renormalized.",
            "notes": [
              {
                "code": "excluded_no_data",
                "params": {
                  "components": [
                    "demonstrated_agent_practice"
                  ]
                }
              },
              {
                "code": "weights_renormalized",
                "params": {}
              }
            ],
            "value": 86,
            "inputs": {
              "has_nix": false,
              "has_tests": true,
              "lockfiles": [
                "uv.lock"
              ],
              "has_dockerfile": false,
              "typed_language": false,
              "bootstrap_files": [
                "Makefile"
              ],
              "has_devcontainer": false,
              "has_linter_config": true,
              "typecheck_configs": [
                "src/zenpyre/py.typed"
              ],
              "agent_commit_share": null,
              "toolchain_manifests": [],
              "dependency_bot_commit_share": 0
            },
            "components": [
              {
                "key": "one_command_bootstrap",
                "name": "One-command bootstrap",
                "detail": "Makefile",
                "points": 18,
                "status": "met",
                "details": [
                  {
                    "code": "file_list",
                    "params": {
                      "files": "Makefile"
                    }
                  }
                ],
                "max_points": 18
              },
              {
                "key": "automated_tests",
                "name": "Automated tests",
                "detail": null,
                "points": 22,
                "status": "met",
                "details": [],
                "max_points": 22
              },
              {
                "key": "lint_format_config",
                "name": "Lint / format config",
                "detail": null,
                "points": 11,
                "status": "met",
                "details": [],
                "max_points": 11
              },
              {
                "key": "static_type_checking",
                "name": "Static type checking",
                "detail": "src/zenpyre/py.typed",
                "points": 11,
                "status": "met",
                "details": [
                  {
                    "code": "file_list",
                    "params": {
                      "files": "src/zenpyre/py.typed"
                    }
                  }
                ],
                "max_points": 11
              },
              {
                "key": "reproducible_environment",
                "name": "Reproducible environment",
                "detail": "lockfile",
                "points": 10,
                "status": "met",
                "details": [
                  {
                    "code": "file_list",
                    "params": {
                      "files": "lockfile"
                    }
                  }
                ],
                "max_points": 10
              },
              {
                "key": "demonstrated_agent_practice",
                "name": "Demonstrated agent practice",
                "detail": "no data",
                "points": 0,
                "status": "excluded",
                "details": [
                  {
                    "code": "no_data",
                    "params": {}
                  }
                ],
                "max_points": 10
              },
              {
                "key": "automated_maintenance",
                "name": "Automated maintenance",
                "detail": "dependency automation configured, none observed in the sampled commits",
                "points": 5,
                "status": "partial",
                "details": [
                  {
                    "code": "dependency_bot_config_only",
                    "params": {}
                  }
                ],
                "max_points": 8
              },
              {
                "key": "openssf_scorecard_pinned_dependencies",
                "name": "OpenSSF Scorecard: Pinned-Dependencies",
                "detail": "dependency not pinned by hash detected -- score normalized to 0",
                "points": 0,
                "status": "missed",
                "details": [],
                "max_points": 10
              }
            ]
          },
          {
            "key": "ai_code_legibility",
            "band": "good",
            "name": "Code legibility for models",
            "note": null,
            "notes": [],
            "value": 82,
            "inputs": {
              "primary_language": "Python",
              "largest_source_bytes": 30470,
              "source_files_sampled": 390,
              "oversized_source_files": 0
            },
            "components": [
              {
                "key": "type_checkable_code",
                "name": "Type-checkable code",
                "detail": "Python with type-check config (src/zenpyre/py.typed)",
                "points": 27,
                "status": "partial",
                "details": [
                  {
                    "code": "typecheck_config_language",
                    "params": {
                      "files": "src/zenpyre/py.typed",
                      "language": "Python"
                    }
                  }
                ],
                "max_points": 45
              },
              {
                "key": "manageable_file_sizes",
                "name": "Manageable file sizes",
                "detail": "0/390 source files over 60KB",
                "points": 55,
                "status": "met",
                "details": [
                  {
                    "code": "oversized_source_files",
                    "params": {
                      "kb": 60,
                      "sampled": 390,
                      "oversized": 0
                    }
                  }
                ],
                "max_points": 55
              }
            ]
          }
        ],
        "description": "How well is the repo equipped to be developed and maintained with AI coding agents? An independent, experimental badge — weight 0.0, so it is surfaced on its own and does not affect the overall health score."
      }
    ],
    "metrics_version": "1.13.0"
  },
  "warnings": [],
  "report_type": "repository",
  "generated_at": "2026-07-15T02:45:38.596778Z",
  "schema_version": "0.11.0",
  "badge_url": "https://raw.githubusercontent.com/inspect-software/badges/main/v1/d/durandtibo/zenpyre.svg",
  "full_name": "durandtibo/zenpyre",
  "license_state": "standard",
  "license_spdx": "BSD-3-Clause"
}

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.