Registro público
Informe de salud del softwareesquema 0.16.0 · métricas 1.13.0 · 2026-07-21 02:59 UTC

AgentOps-AI / agentops

Python SDK for AI agent monitoring, LLM cost tracking, benchmarking, and more. Integrates with most LLMs and agent frameworks including CrewAI, Agno, OpenAI Agents SDK, Langchain, Autogen, AG2, and CamelAI

Python · TypeScriptMIT★ 5716 estrellas⑂ 610 forksdesde ago 2023Ver en GitHub ↗
#agent#agentops#ai#evals#evaluation-metrics#llm#anthropic#autogen#cost-estimation#crewai#groq#langchain#mistral#ollama#openai#agents-sdk#openai-agents

AgentOps-AI/agentops tiene un índice de salud de 71 sobre 100, lo que lo sitúa en la banda Bueno. Su puntuación más alta es Engineering Quality (95/100) y la más baja, Security (21/100). Se actualizó por última vez hace 25 días. 3 personas concentran la mayor parte del trabajo reciente.

71
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.

71
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

AgentOpsOrganización
490 seguidores28 repositorios públicosdesde jul 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 publicación
PyPIagentops0.4.21-105hace 325 días

Métricas por categoría

Vitalidad

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

65Moderado · 22% del índice global

Actividad de desarrollo

57Moderado
Cómo se puntúa
28.8/36Recencia de push — último push hace 25 días
7.6/36Cadencia de commits — 11/52 semanas con commits
15.1/18Volumen de commits — 47 commits en el último año
0/10OpenSSF Scorecard: Maintained — sin datos
Datos de entrada utilizados
commits_last_year47
human_commit_share—
days_since_last_push25
active_weeks_last_year11

Disciplina de publicación

78Bueno
Cómo se puntúa
27/27Publica versiones — 100 versiones publicadas
16.2/36Recencia de las versiones — última versión hace 325 días
27/27Cadencia de publicación — una versión cada ~11,7 días
0/10OpenSSF Scorecard: Signed-Releases — sin datos
Datos de entrada utilizados
releases_count100
latest_release_tag0.4.21
releases_from_tagsno
days_since_latest_release325
mean_days_between_releases11,7

Comunidad y Adopción

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

93Excelente · 18% del índice global

Popularidad y adopción

93Excelente
Cómo se puntúa
60/60Estrellas — 5716 estrellas
23.2/25Forks — 610 forks
9.4/15Observadores — 50 observadores
Datos de entrada utilizados
forks610
stars5716
watchers50
growth_stateunverified
growth_factor_pct100
growth_unverified_reasonno_history

Salud de la comunidad

92Excelente
Cómo se puntúa
22.5/22.5README
22.5/22.5Licencia — licencia reconocida (MIT)
18/18Guía CONTRIBUTING
13.5/13.5Código 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_conductsí
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?

75Bueno · 24% del índice global

Resiliencia de mantenedores (factor bus)

72Bueno
Cómo se puntúa
36/54Factor bus — la mitad de los commits recae en 3 contribuyente(s)
15.7/22.5Distribución de commits — el principal contribuyente firma el 30% de los commits
13.5/13.5Amplitud de contribuyentes — 49 contribuyentes
0/10OpenSSF Scorecard: Contributors — sin datos
Datos de entrada utilizados
bus_factor3
contributors_sampled49
top_contributor_share0,304

Capacidad de respuesta a issues y PR

76Bueno
Cómo se puntúa
34.7/46.8Resolución de issues — 74% de issues cerradas
29.7/38.3Aceptación de PR — 653/841 PR decididos fusionados
0/15OpenSSF Scorecard: Code-Review — sin datos
Datos de entrada utilizados
merged_prs653
open_issues114
closed_issues330
issue_closed_ratio0,743
closed_unmerged_prs188

Propiedad y custodia

66Moderado
Cómo se puntúa
30/30Respaldo de la propiedad — propiedad de una organización
0/20Dominio verificado
19.3/25Alcance del propietario — 490 seguidores de AgentOps-AI
16.6/25Trayectoria — 28 repos públicos, cuenta de ~2 años
Datos de entrada utilizados
followers490
owner_typeOrganization
is_verified—
owner_loginAgentOps-AI
public_repos28
account_age_days1091

Mantenimiento de paquetes

91Excelente
Cómo se puntúa
25/25Publicado y resoluble — 1 paquete(s) en pypi
26/35Recencia de publicación — última publicación hace 325 días
20/20Historial de versiones — 105 versiones en el registro
20/20No obsoleto — activo, ni obsoleto ni retirado
Datos de entrada utilizados
packagesagentops
ecosystemspypi
any_deprecatedno
min_days_since_publish325

Calidad de Ingeniería

¿Existen unas prácticas mínimas de ingeniería y documentación?

95Excelente · 20% del índice global

Prácticas de ingeniería

92Excelente
Cómo se puntúa
24/24Flujos de trabajo de CI — 9 flujo(s) de trabajo
24/24Pruebas presentes
16/16Configuración de linter — .eslintrc.json, ruff.toml
9.6/9.6Hooks de pre-commit
0/6.4.editorconfig
0/20OpenSSF Scorecard: CI-Tests — sin datos
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://agentops.ai
10/10Descripción del repositorio
10/10Topics — 17 topics
10/10Wiki
Datos de entrada utilizados
topicsagent, agentops, ai, evals, evaluation-metrics, llm, anthropic, autogen, cost-estimation, crewai, groq, langchain, mistral, ollama, openai, agents-sdk, openai-agents
has_wikisí
homepagehttps://agentops.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?

21Crítico · 16% del índice global

Postura de seguridad

1Crítico
Cómo se puntúa
0/30Política de seguridad (SECURITY.md)
0/25Configuración de Dependabot
0/25Lockfiles de dependencias — biblioteca publicada — los lockfiles son cosa de las aplicaciones, no se esperan aquí
0/20Flujo de trabajo de CodeQL
Datos de entrada utilizados
sourcefile_signals
lockfilesbun.lockb, package-lock.json, uv.lock
manifestsapp/package.json, app/pyproject.toml, app/requirements-dev.txt, docs/package.json, pyproject.toml
has_codeql_workflowno
has_security_policyno
has_dependabot_configno
Excluidos de la puntuación (sin datos o no aplicable): Lockfiles de dependencias. Los pesos restantes se han renormalizado.

Avisos de dependencias

100Excelente
Cómo se puntúa
35/35Dependencias directas libres de avisos conocidos — ninguna dependencia directa tiene un aviso conocido
25/25Dependencias indirectas libres de avisos conocidos — ninguna dependencia indirecta tiene un aviso conocido
0/40Sin avisos pendientes — ningún aviso tiene fecha de publicación
Datos de entrada utilizados
sourceosv
advisories0
affected_packages0
assessed_packages33
unassessed_packages0
affected_by_severitynone
direct_affected_packages0
Excluidos de la puntuación (sin datos o no aplicable): Sin avisos pendientes. Los pesos restantes se han renormalizado. Se cotejó el cierre de dependencias en tiempo de ejecución de pypi:agentops@0.4.21 —lo que arrastra la instalación del paquete publicado—: 33 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.

69Moderado · 0% del índice global

Contexto y guía para agentes

25Crítico
Cómo se puntúa
0/45Instrucciones para agentes — sin CLAUDE.md / AGENTS.md / reglas de editor
15/15Documentación legible por máquinas (llms.txt) — llms.txt presente
0/40Historial de commits legible — sin datos
Datos de entrada utilizados
has_llms_txtsí
legible_history_share—
agent_instruction_files—
agent_instruction_max_bytes—
Excluidos de la puntuación (sin datos o no aplicable): Historial de commits legible. Los pesos restantes se han renormalizado.

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

100Excelente
Cómo se puntúa
18/18Arranque con un solo comando — app/api/justfile, app/justfile
22/22Pruebas automatizadas
11/11Configuración de lint / formato — .eslintrc.json, ruff.toml
11/11Verificación estática de tipos — app/dashboard/tsconfig.json, app/landing/tsconfig.json
10/10Entorno reproducible — Dockerfile, lockfile
0/10Práctica demostrada con agentes — sin datos
0/8Mantenimiento automatizado — sin datos
0/10OpenSSF Scorecard: Pinned-Dependencies — sin datos
Datos de entrada utilizados
has_nixno
has_testssí
lockfilesbun.lockb, package-lock.json, uv.lock
has_dockerfilesí
typed_languageno
bootstrap_filesapp/api/justfile, app/justfile
has_devcontainerno
has_linter_configsí
typecheck_configsapp/dashboard/tsconfig.json, app/landing/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 (app/dashboard/tsconfig.json, app/landing/tsconfig.json)
54.9/55Tamaños de archivo manejables — 1/887 archivos fuente de más de 60 KB
Datos de entrada utilizados
primary_languagePython
largest_source_bytes86.538
source_files_sampled887
oversized_source_files1

Interfaces legibles por máquina

60Moderado
Cómo se puntúa
0/40Esquema de API (OpenAPI/GraphQL/proto)
20/20Servidor MCP
40/40Ejemplos ejecutables — examples, notebooks
Datos de entrada utilizados
example_dirsexamples, notebooks
has_mcp_signalsí
api_schema_files—

Datos clave

5716estrellas de GitHub
49contribuidores
47commits en los últimos 12 meses
25días desde el último push
100versiones publicadas
3factor bus
114issues abiertas
npm, PyPIecosistemas de paquetes

Advertencias de recopilación de datos

  • Could not fetch pypi package 'agentops-dev' from its registry
  • OpenSSF Scorecard did not return a usable result (2026/07/21 02:58:51 Warning: PATs stored in env variables GITHUB_AUTH_TOKEN and GITHUB_TOKEN differ. Scorecard will use the former.); skipping Scorecard checks

Más detalle

Dependencias directas 19
RegistroPaqueteRestricción de versiónManifiesto
PyPIrequests>=2.0.0,<3.0.0pyproject.toml
PyPIpsutil>=5.9.8,<7.0.1pyproject.toml
PyPItermcolor>=2.3.0,<2.5.0pyproject.toml
PyPIPyYAML>=5.3,<7.0pyproject.toml
PyPIpackaging>=21.0,<25.0pyproject.toml
PyPIhttpx>=0.24.0,<0.29.0pyproject.toml
PyPIaiohttp>=3.8.0,<4.0.0pyproject.toml
PyPIopentelemetry-sdk==1.29.0pyproject.toml
PyPIopentelemetry-sdk>1.29.0pyproject.toml
PyPIopentelemetry-api==1.29.0pyproject.toml
PyPIopentelemetry-api>1.29.0pyproject.toml
PyPIopentelemetry-exporter-otlp-proto-http==1.29.0pyproject.toml
PyPIopentelemetry-exporter-otlp-proto-http>1.29.0pyproject.toml
PyPIordered-set>=4.0.0,<5.0.0pyproject.toml
PyPIwrapt>=1.0.0,<2.0.0pyproject.toml
PyPIopentelemetry-instrumentation==0.50b0pyproject.toml
PyPIopentelemetry-instrumentation>=0.50b0pyproject.toml
PyPIopentelemetry-semantic-conventions==0.50b0pyproject.toml
PyPIopentelemetry-semantic-conventions>=0.50b0pyproject.toml
Todas las dependencias 574

Conjunto completo de dependencias resueltas según el grafo de dependencias de GitHub: 10 paquetes directos y 564 indirectos (transitivos). El cierre transitivo es completo cuando el repositorio incluye un lockfile.

RegistroPaqueteVersiónRelación
PyPIaiohttp—directa
PyPIhttpx—directa
PyPIopentelemetry-api—directa
PyPIopentelemetry-exporter-otlp-proto-http—directa
PyPIopentelemetry-sdk—directa
PyPIopentelemetry-semantic-conventions—directa
PyPIpsutil—directa
PyPIpyyaml—directa
PyPIrequests—directa
PyPItermcolor—directa
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npm@apidevtools/swagger-parser10.1.0indirecta
npm@assistant-ui/react^0.9.5indirecta
npm@assistant-ui/react-ai-sdk^0.9.4indirecta
npm@assistant-ui/react-markdown^0.9.2indirecta
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Avisos de dependencias 0

Instalar pypi:agentops@0.4.21 arrastra 33 paquetes, directos y transitivos: 0 tienen avisos conocidos, de los cuales 0 son dependencias directas.

Ningún aviso conocido afecta a las dependencias evaluadas.

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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                "name": "Direct dependencies free of known advisories",
                "detail": "no direct dependency carries a known advisory",
                "points": 35,
                "status": "met",
                "details": [
                  {
                    "code": "no_direct_advisories",
                    "params": {}
                  }
                ],
                "max_points": 35
              },
              {
                "key": "indirect_dependencies_free_of_known_advisories",
                "name": "Indirect dependencies free of known advisories",
                "detail": "no indirect dependency carries a known advisory",
                "points": 25,
                "status": "met",
                "details": [
                  {
                    "code": "no_indirect_advisories",
                    "params": {}
                  }
                ],
                "max_points": 25
              },
              {
                "key": "no_advisories_left_outstanding",
                "name": "No advisories left outstanding",
                "detail": "no advisory carries a publication date",
                "points": 0,
                "status": "excluded",
                "details": [
                  {
                    "code": "advisories_no_publication_date",
                    "params": {}
                  }
                ],
                "max_points": 40
              }
            ]
          },
          {
            "key": "malicious_dependencies",
            "band": "excellent",
            "name": "Malicious dependencies",
            "note": null,
            "notes": [],
            "value": 100,
            "inputs": {
              "source": "osv",
              "meaning": "reported as a malicious package by the OpenSSF corpus; the remedy is removal or moving off the compromised name, never an upgrade of the same artifact. Versions the registry has since pulled are listed but not scored",
              "packages": [],
              "red_flag": false,
              "assessed_packages": 33,
              "malicious_packages": 0,
              "direct_malicious_packages": 0,
              "withdrawn_malicious_packages": 0,
              "installable_malicious_packages": 0
            },
            "components": [
              {
                "key": "no_dependency_reported_as_a_malicious_package",
                "name": "No dependency reported as a malicious package",
                "detail": "no dependency is reported as a malicious package",
                "points": 100,
                "status": "met",
                "details": [
                  {
                    "code": "no_malicious_dependencies",
                    "params": {}
                  }
                ],
                "max_points": 100
              }
            ]
          },
          {
            "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": 13
            },
            "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": 69,
        "weight": 0,
        "metrics": [
          {
            "key": "ai_agent_context",
            "band": "critical",
            "name": "Agent context & guidance",
            "note": "Excluded from scoring (no data or not applicable): Legible commit history. Remaining weights renormalized.",
            "notes": [
              {
                "code": "excluded_no_data",
                "params": {
                  "components": [
                    "legible_commit_history"
                  ]
                }
              },
              {
                "code": "weights_renormalized",
                "params": {}
              }
            ],
            "value": 25,
            "inputs": {
              "has_llms_txt": true,
              "legible_history_share": null,
              "agent_instruction_files": [],
              "agent_instruction_max_bytes": null
            },
            "components": [
              {
                "key": "agent_instructions",
                "name": "Agent instructions",
                "detail": "no CLAUDE.md / AGENTS.md / editor rules",
                "points": 0,
                "status": "missed",
                "details": [
                  {
                    "code": "no_agent_instructions",
                    "params": {}
                  }
                ],
                "max_points": 45
              },
              {
                "key": "machine_readable_docs_llms_txt",
                "name": "Machine-readable docs (llms.txt)",
                "detail": "llms.txt present",
                "points": 15,
                "status": "met",
                "details": [
                  {
                    "code": "llms_txt_present",
                    "params": {}
                  }
                ],
                "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, Automated maintenance. Remaining weights renormalized.",
            "notes": [
              {
                "code": "excluded_no_data",
                "params": {
                  "components": [
                    "demonstrated_agent_practice",
                    "automated_maintenance"
                  ]
                }
              },
              {
                "code": "weights_renormalized",
                "params": {}
              }
            ],
            "value": 100,
            "inputs": {
              "has_nix": false,
              "has_tests": true,
              "lockfiles": [
                "bun.lockb",
                "package-lock.json",
                "uv.lock"
              ],
              "has_dockerfile": true,
              "typed_language": false,
              "bootstrap_files": [
                "app/api/justfile",
                "app/justfile"
              ],
              "has_devcontainer": false,
              "has_linter_config": true,
              "typecheck_configs": [
                "app/dashboard/tsconfig.json",
                "app/landing/tsconfig.json"
              ],
              "agent_commit_share": null,
              "toolchain_manifests": [],
              "dependency_bot_commit_share": null
            },
            "components": [
              {
                "key": "one_command_bootstrap",
                "name": "One-command bootstrap",
                "detail": "app/api/justfile, app/justfile",
                "points": 18,
                "status": "met",
                "details": [
                  {
                    "code": "file_list",
                    "params": {
                      "files": "app/api/justfile, app/justfile"
                    }
                  }
                ],
                "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": ".eslintrc.json, ruff.toml",
                "points": 11,
                "status": "met",
                "details": [
                  {
                    "code": "file_list",
                    "params": {
                      "files": ".eslintrc.json, ruff.toml"
                    }
                  }
                ],
                "max_points": 11
              },
              {
                "key": "static_type_checking",
                "name": "Static type checking",
                "detail": "app/dashboard/tsconfig.json, app/landing/tsconfig.json",
                "points": 11,
                "status": "met",
                "details": [
                  {
                    "code": "file_list",
                    "params": {
                      "files": "app/dashboard/tsconfig.json, app/landing/tsconfig.json"
                    }
                  }
                ],
                "max_points": 11
              },
              {
                "key": "reproducible_environment",
                "name": "Reproducible environment",
                "detail": "Dockerfile, lockfile",
                "points": 10,
                "status": "met",
                "details": [
                  {
                    "code": "file_list",
                    "params": {
                      "files": "Dockerfile, 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": "no data",
                "points": 0,
                "status": "excluded",
                "details": [
                  {
                    "code": "no_data",
                    "params": {}
                  }
                ],
                "max_points": 8
              },
              {
                "key": "openssf_scorecard_pinned_dependencies",
                "name": "OpenSSF Scorecard: Pinned-Dependencies",
                "detail": "OpenSSF Scorecard unavailable",
                "points": 0,
                "status": "excluded",
                "details": [
                  {
                    "code": "no_data",
                    "params": {}
                  }
                ],
                "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": 86538,
              "source_files_sampled": 887,
              "oversized_source_files": 1
            },
            "components": [
              {
                "key": "type_checkable_code",
                "name": "Type-checkable code",
                "detail": "Python with type-check config (app/dashboard/tsconfig.json, app/landing/tsconfig.json)",
                "points": 27,
                "status": "partial",
                "details": [
                  {
                    "code": "typecheck_config_language",
                    "params": {
                      "files": "app/dashboard/tsconfig.json, app/landing/tsconfig.json",
                      "language": "Python"
                    }
                  }
                ],
                "max_points": 45
              },
              {
                "key": "manageable_file_sizes",
                "name": "Manageable file sizes",
                "detail": "1/887 source files over 60KB",
                "points": 54.9,
                "status": "partial",
                "details": [
                  {
                    "code": "oversized_source_files",
                    "params": {
                      "kb": 60,
                      "sampled": 887,
                      "oversized": 1
                    }
                  }
                ],
                "max_points": 55
              }
            ]
          },
          {
            "key": "ai_interfaces",
            "band": "moderate",
            "name": "Machine-readable interfaces",
            "note": null,
            "notes": [],
            "value": 60,
            "inputs": {
              "example_dirs": [
                "examples",
                "notebooks"
              ],
              "has_mcp_signal": true,
              "api_schema_files": []
            },
            "components": [
              {
                "key": "api_schema_openapi_graphql_proto",
                "name": "API schema (OpenAPI/GraphQL/proto)",
                "detail": null,
                "points": 0,
                "status": "missed",
                "details": [],
                "max_points": 40
              },
              {
                "key": "mcp_server",
                "name": "MCP server",
                "detail": null,
                "points": 20,
                "status": "met",
                "details": [],
                "max_points": 20
              },
              {
                "key": "runnable_examples",
                "name": "Runnable examples",
                "detail": "examples, notebooks",
                "points": 40,
                "status": "met",
                "details": [
                  {
                    "code": "file_list",
                    "params": {
                      "files": "examples, notebooks"
                    }
                  }
                ],
                "max_points": 40
              }
            ]
          }
        ],
        "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": [
    "Could not fetch pypi package 'agentops-dev' from its registry",
    "OpenSSF Scorecard did not return a usable result (2026/07/21 02:58:51 Warning: PATs stored in env variables GITHUB_AUTH_TOKEN and GITHUB_TOKEN differ. Scorecard will use the former.); skipping Scorecard checks"
  ],
  "report_type": "repository",
  "generated_at": "2026-07-21T02:59:40.155805Z",
  "schema_version": "0.16.0",
  "badge_url": "https://raw.githubusercontent.com/inspect-software/badges/main/v1/a/AgentOps-AI/agentops.svg",
  "full_name": "AgentOps-AI/agentops",
  "license_state": "standard",
  "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 v0.16.0 — metodología completa · wiki de métricas.

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