Registro público
Informe de salud del softwareesquema 0.27.0 · métricas 1.13.0 · 2026-07-23 07:19 UTC

openai / openai-guardrails-js

OpenAI Guardrails - TypeScript / JavaScript

TypeScriptMIT★ 87 estrellas⑂ 15 forksdesde sept 2025Ver en GitHub ↗

openai/openai-guardrails-js tiene un índice de salud de 62 sobre 100, lo que lo sitúa en la banda Moderado. Su puntuación más alta es Engineering Quality (82/100) y la más baja, Security (50/100). Se actualizó por última vez hace 118 días. Una sola persona concentra la mayor parte del trabajo reciente.

62
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.

62
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

OpenAIOrganización
127.098 seguidores265 repositorios públicosdesde oct 2015

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
npm@openai/guardrails0.2.152.6049hace 219 díasguardrailsaisafetyvalidationtypescriptopenai

Métricas por categoría

Vitalidad

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

52Moderado · 22% del índice global
Cómo se puntúa
9.9/36Recencia de push — último push hace 118 días
7.6/36Cadencia de commits — 11/52 semanas con commits
16.5/18Volumen de commits — 68 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_year68
human_commit_share1
days_since_last_push118
active_weeks_last_year11
Cómo se puntúa
27/27Publica versiones — 8 versiones publicadas
16.2/36Recencia de las versiones — última versión hace 219 días
27/27Cadencia de publicación — una versión cada ~8,6 días
0/10OpenSSF Scorecard: Signed-Releases — sin datos
Datos de entrada utilizados
releases_count8
latest_release_tagv0.2.1
releases_from_tagsno
days_since_latest_release219
mean_days_between_releases8,6
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?

55Moderado · 18% del índice global
Cómo se puntúa
31.4/60Estrellas — 87 estrellas
9.6/25Forks — 15 forks
3.3/15Observadores — 5 observadores
Datos de entrada utilizados
forks15
stars87
watchers5
growth_stateunverified
growth_factor_pct100
growth_unverified_reasonno_history
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_readme
has_license
has_contributingno
has_issue_templateno
has_code_of_conductno
has_pull_request_templateno
Cómo se puntúa
62.9/80Descargas mensuales — 52.604 descargas/mes en npm
0/20Dependientes en el registro — no lo informa este ecosistema
Datos de entrada utilizados
packages@openai/guardrails
dependents
ecosystemsnpm
total_downloads
monthly_downloads52.604
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?

66Moderado · 24% del índice global
Cómo se puntúa
9/54Factor bus — la mitad de los commits recae en 1 contribuyente(s)
9.9/22.5Distribución de commits — el principal contribuyente firma el 56% de los commits
8.1/13.5Amplitud de contribuyentes — 6 contribuyentes
3/10OpenSSF Scorecard: Contributors — project has 1 contributing companies or organizations -- score normalized to 3
Datos de entrada utilizados
bus_factor1
contributors_sampled6
top_contributor_share0,559
Cómo se puntúa
23.4/46.8Resolución de issues — 50% de issues cerradas
36.1/38.3Aceptación de PR — 50/53 PR decididos fusionados
15/15OpenSSF Scorecard: Code-Review — all changesets reviewed
Datos de entrada utilizados
merged_prs50
open_issues5
closed_issues5
issue_closed_ratio0,5
closed_unmerged_prs3
Cómo se puntúa
30/30Respaldo de la propiedad — propiedad de una organización
0/20Dominio verificado
25/25Alcance del propietario — 127.098 seguidores de openai
25/25Trayectoria — 265 repos públicos, cuenta de ~10 años
Datos de entrada utilizados
followers127.098
owner_typeOrganization
is_verified
owner_loginopenai
public_repos265
account_age_days3945
Cómo se puntúa
25/25Publicado y resoluble — 1 paquete(s) en npm
26/35Recencia de publicación — última publicación hace 219 días
20/20Historial de versiones — 9 versiones en el registro
20/20No obsoleto — activo, ni obsoleto ni retirado
Datos de entrada utilizados
packages@openai/guardrails
ecosystemsnpm
any_deprecatedno
min_days_since_publish219

Calidad de Ingeniería

¿Existen unas prácticas mínimas de ingeniería y documentación?

82Bueno · 20% del índice global
Cómo se puntúa
24/24Flujos de trabajo de CI — 3 flujo(s) de trabajo
24/24Pruebas presentes
16/16Configuración de linter — .eslintrc.js
0/9.6Hooks de pre-commit
0/6.4.editorconfig
20/20OpenSSF Scorecard: CI-Tests — 30 out of 30 merged PRs checked by a CI test -- score normalized to 10
Datos de entrada utilizados
has_ci
has_tests
has_editorconfigno
has_linter_config
has_precommit_configno
Cómo se puntúa
30/30README
25/25Directorio de documentación
15/15Sitio de documentación / página del proyecto — https://guardrails.openai.com
10/10Descripción del repositorio
0/10Topics
0/10Wiki
Datos de entrada utilizados
topics
has_wikino
homepagehttps://guardrails.openai.com
has_readme
has_docs_dir
has_description

Seguridad

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

50Moderado · 16% del índice global
Cómo se puntúa
7.5/7.5Binary-Artifacts — no binaries found in the repo
0/7.5Branch-Protection — sin datos
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
7.5/7.5Code-Review — all changesets reviewed
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
1.5/5Pinned-Dependencies — dependency not pinned by hash detected -- score normalized to 3
0/5SAST — SAST tool is not run on all commits -- score normalized to 0
0/5Security-Policy — security policy file not detected
0/7.5Signed-Releases — sin datos
0/7.5Token-Permissions — detected GitHub workflow tokens with excessive permissions
0/7.5Vulnerabilities — 44 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): branch_protection, signed_releases. Los pesos restantes se han renormalizado.
Cómo se puntúa
35/35Dependencias directas libres de avisos conocidos — ninguna dependencia directa tiene un aviso conocido
8.7/25Dependencias indirectas libres de avisos conocidos — 2 afectados: fast-uri 3.1.3 (high 7.5), @hono/node-server 1.19.14 (moderate 5.9)
40/40Sin avisos pendientes — ningún aviso lleva público más de 90 días
Datos de entrada utilizados
sourceosv
advisories2
affected_packages2
assessed_packages128
unassessed_packages0
affected_by_severityhigh 1, moderate 1
direct_affected_packages0
Se cotejó el cierre de dependencias en tiempo de ejecución de npm:@openai/guardrails@0.2.1 —lo que arrastra la instalación del paquete publicado—: 128 paquetes. No se analiza la alcanzabilidad.

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.

60Moderado · 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)
31.4/40Historial de commits legible — 40 de 68 commits humanos declaran su intención (asunto estructurado o cuerpo explicativo)
Datos de entrada utilizados
has_llms_txtno
legible_history_share0,588
agent_instruction_files
agent_instruction_max_bytes
Cómo se puntúa
18/18Arranque con un solo comando — Makefile
22/22Pruebas automatizadas
11/11Configuración de lint / formato — .eslintrc.js
11/11Verificación estática de tipos — tsconfig.json
10/10Entorno reproducible — lockfile
0/10Práctica demostrada con agentes — ningún commit con autoría de agente entre los últimos 68
0/8Mantenimiento automatizado — no se observan actualizaciones automáticas de dependencias
3/10OpenSSF Scorecard: Pinned-Dependencies — dependency not pinned by hash detected -- score normalized to 3
Datos de entrada utilizados
has_nixno
has_tests
lockfilespackage-lock.json, uv.lock
has_dockerfileno
typed_language
bootstrap_filesMakefile
has_devcontainerno
has_linter_config
typecheck_configstsconfig.json
agent_commit_share0
toolchain_manifests
dependency_bot_commit_share0
Cómo se puntúa
45/45Código verificable por tipos — TypeScript (tipado estático)
55/55Tamaños de archivo manejables — 0/99 archivos fuente de más de 60 KB
Datos de entrada utilizados
primary_languageTypeScript
largest_source_bytes27.796
source_files_sampled99
oversized_source_files0
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

87estrellas de GitHub
6contribuidores
68commits en los últimos 12 meses
118días desde el último push
8versiones publicadas
1factor bus
5issues abiertas
npm, PyPIecosistemas de paquetes

Advertencias de recopilación de datos

  • Star history unavailable: GitHub GraphQL error: Resource not accessible by personal access token
  • Could not fetch pypi package 'openai-guardrails-js-docs' from its registry
  • GitHub dependency-graph SBOM unavailable (404); the dependency graph may be disabled for this repository

Más detalle

Historial de estrellas y forks 0 ★ / 15 ⇿
0Estrellas
15Forks
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.

03581013151522025-102026-022026-07
Mayor 0Menor 1Parche 7
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 · 2026-07-23 07:19 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-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
10Code-Reviewall changesets reviewed
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
3Pinned-Dependenciesdependency not pinned by hash detected -- score normalized to 3
0SASTSAST tool is not run on all commits -- score normalized to 0
0Security-Policysecurity policy file not detected
n/dSigned-Releasesno releases found
0Token-Permissionsdetected GitHub workflow tokens with excessive permissions
0Vulnerabilities44 existing vulnerabilities detected
Dependencias directas 7
RegistroPaqueteRestricción de versiónManifiesto
npm@openai/agents^0.1.3package.json
npmopenai^4.0.0package.json
npmzod^3.22.0package.json
PyPImkdocs>=1.6.1pyproject.toml
PyPImkdocs-material>=9.6.14pyproject.toml
PyPIpymdown-extensions>=10.0.0pyproject.toml
PyPImkdocs-i18n>=0.4.3pyproject.toml
Todas las dependencias no recopilado

No fue posible recopilar el conjunto de dependencias resuelto para este informe: GitHub dependency-graph SBOM unavailable (404); the dependency graph may be disabled for this repository

Avisos de dependencias 2

Instalar npm:@openai/guardrails@0.2.1 arrastra 128 paquetes, directos y transitivos: 2 tienen avisos conocidos, de los cuales 0 son dependencias directas.

PaqueteVersiónRelaciónGravedadAvisosCorregido en
fast-uri3.1.3indirectaalta14.1.1
@hono/node-server1.19.14indirectamoderada12.0.5

Un aviso significa que la versión registrada en el grafo de dependencias cae dentro del rango afectado de un aviso. No se analiza la alcanzabilidad, y el grafo incluye fijaciones de desarrollo y prueba: un hallazgo puede referirse al utillaje y no al software distribuido.

Informe JSON sin procesar legible por máquina
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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",
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      }
    ],
    "metrics_version": "1.13.0"
  },
  "warnings": [
    "Star history unavailable: GitHub GraphQL error: Resource not accessible by personal access token",
    "Could not fetch pypi package 'openai-guardrails-js-docs' from its registry",
    "GitHub dependency-graph SBOM unavailable (404); the dependency graph may be disabled for this repository"
  ],
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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 agregadasnpm.