Registro público
Informe de salud del softwareesquema 0.11.0 · métricas 1.13.0 · 2026-07-17 00:18 UTC

ionelmc / pytest-benchmark

pytest fixture for benchmarking code

PythonBSD-2-Clause★ 1444 estrellas⑂ 138 forksdesde oct 2014Ver en GitHub ↗

ionelmc/pytest-benchmark tiene un índice de salud de 64 sobre 100, lo que lo sitúa en la banda Moderado. Su puntuación más alta es Engineering Quality (89/100) y la más baja, AI Readiness (40/100). Se actualizó por última vez hace 30 días. Una sola persona concentra la mayor parte del trabajo reciente.

64
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.

64
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

511 seguidores199 repositorios públicosdesde sept 2009

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
PyPIpytest-benchmark5.2.3-49hace 249 díaspytestbenchmark

Métricas por categoría

Vitalidad

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

54Moderado · 22% del índice global
Cómo se puntúa
28.8/36Recencia de push — último push hace 30 días
8.3/36Cadencia de commits — 12/52 semanas con commits
16.3/18Volumen de commits — 64 commits en el último año
3/10OpenSSF Scorecard: Maintained — 2 commit(s) and 2 issue activity found in the last 90 days -- score normalized to 3
Datos de entrada utilizados
commits_last_year64
human_commit_share
days_since_last_push30
active_weeks_last_year12
Cómo se puntúa
16.2/27Publica versiones — 18 etiquetas de versión (sin releases de GitHub)
16.2/36Recencia de las versiones — última versión hace 249 días
12.6/27Cadencia de publicación — una versión cada ~185,2 días
0/10OpenSSF Scorecard: Signed-Releases — sin datos
Datos de entrada utilizados
releases_count18
latest_release_tagv5.2.3
releases_from_tags
days_since_latest_release249
mean_days_between_releases185,2
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?

73Bueno · 18% del índice global
Cómo se puntúa
51.2/60Estrellas — 1444 estrellas
17.8/25Forks — 138 forks
6.8/15Observadores — 18 observadores
Datos de entrada utilizados
forks138
stars1444
watchers18
growth_stateunverified
growth_factor_pct100
growth_unverified_reasonno_history
Cómo se puntúa
22.5/22.5README
22.5/22.5Licencia — licencia reconocida (BSD-2-Clause)
18/18Guía 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_contributing
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?

62Moderado · 24% del índice global
Cómo se puntúa
9/54Factor bus — la mitad de los commits recae en 1 contribuyente(s)
3.1/22.5Distribución de commits — el principal contribuyente firma el 86% de los commits
13.5/13.5Amplitud de contribuyentes — 50 contribuyentes
10/10OpenSSF Scorecard: Contributors — project has 75 contributing companies or organizations
Datos de entrada utilizados
bus_factor1
contributors_sampled50
top_contributor_share0,862
Cómo se puntúa
22.3/46.8Resolución de issues — 48% de issues cerradas
30.9/38.3Aceptación de PR — 76/94 PR decididos fusionados
9/15OpenSSF Scorecard: Code-Review — Found 12/18 approved changesets -- score normalized to 6
Datos de entrada utilizados
merged_prs76
open_issues109
closed_issues99
issue_closed_ratio0,476
closed_unmerged_prs18
Cómo se puntúa
10/30Respaldo de la propiedad — cuenta personal (usuario)
0/20Dominio verificado — no aplicable a cuentas de usuario
19.5/25Alcance del propietario — 511 seguidores de ionelmc
25/25Trayectoria — 199 repos públicos, cuenta de ~16 años
Datos de entrada utilizados
followers511
owner_typeUser
is_verified
owner_loginionelmc
public_repos199
account_age_days6142
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
26/35Recencia de publicación — última publicación hace 249 días
20/20Historial de versiones — 49 versiones en el registro
20/20No obsoleto — activo, ni obsoleto ni retirado
Datos de entrada utilizados
packagespytest-benchmark
ecosystemspypi
any_deprecatedno
min_days_since_publish249

Calidad de Ingeniería

¿Existen unas prácticas mínimas de ingeniería y documentación?

89Excelente · 20% del índice global
Cómo se puntúa
24/24Flujos de trabajo de CI — 1 flujo(s) de trabajo
24/24Pruebas presentes
16/16Configuración de linter — tox.ini
9.6/9.6Hooks de pre-commit
6.4/6.4.editorconfig
12/20OpenSSF Scorecard: CI-Tests — 8 out of 12 merged PRs checked by a CI test -- score normalized to 6
Datos de entrada utilizados
has_ci
has_tests
has_editorconfig
has_linter_config
has_precommit_config

Documentación

85Excelente
Cómo se puntúa
30/30README
25/25Directorio de documentación
0/15Sitio de documentación / página del proyecto
10/10Descripción del repositorio
10/10Topics — 5 topics
10/10Wiki
Datos de entrada utilizados
topicspython, pytest, benchmark, benchmarking, performance
has_wiki
homepage
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
1.5/2.5CI-Tests — 8 out of 12 merged PRs checked by a CI test -- score normalized to 6
0/2.5CII-Best-Practices — no effort to earn an OpenSSF best practices badge detected
4.5/7.5Code-Review — Found 12/18 approved changesets -- score normalized to 6
2.5/2.5Contributors — project has 75 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
2.2/7.5Maintained — 2 commit(s) and 2 issue activity found in the last 90 days -- score normalized to 3
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
7.5/7.5Vulnerabilities — 0 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.

40En riesgo · 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)
0/40Historial de commits legible — sin datos
Datos de entrada utilizados
has_llms_txtno
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.
Cómo se puntúa
0/18Arranque con un solo comando
22/22Pruebas automatizadas
11/11Configuración de lint / formato — tox.ini
11/11Verificación estática de tipos — src/pytest_benchmark/py.typed
0/10Entorno reproducible
0/10Práctica demostrada con agentes — sin datos
0/8Mantenimiento automatizado — sin datos
0/10OpenSSF Scorecard: Pinned-Dependencies — dependency not pinned by hash detected -- score normalized to 0
Datos de entrada utilizados
has_nixno
has_tests
lockfiles
has_dockerfileno
typed_languageno
bootstrap_files
has_devcontainerno
has_linter_config
typecheck_configssrc/pytest_benchmark/py.typed
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.
Cómo se puntúa
27/45Código verificable por tipos — Python con configuración de verificación de tipos (src/pytest_benchmark/py.typed)
55/55Tamaños de archivo manejables — 0/32 archivos fuente de más de 60 KB
Datos de entrada utilizados
primary_languagePython
largest_source_bytes40.399
source_files_sampled32
oversized_source_files0
Cómo se puntúa
0/40Esquema de API (OpenAPI/GraphQL/proto)
0/20Servidor MCP
40/40Ejemplos ejecutables — notebooks
Datos de entrada utilizados
example_dirsnotebooks
has_mcp_signalno
api_schema_files

Datos clave

1444estrellas de GitHub
50contribuidores
64commits en los últimos 12 meses
30días desde el último push
18versiones publicadas
1factor bus
109issues 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 · 2026-07-17 00:18 UTC

10Binary-Artifactsno binaries found in the repo
0Branch-Protectionbranch protection not enabled on development/release branches
6CI-Tests8 out of 12 merged PRs checked by a CI test -- score normalized to 6
0CII-Best-Practicesno effort to earn an OpenSSF best practices badge detected
6Code-ReviewFound 12/18 approved changesets -- score normalized to 6
10Contributorsproject has 75 contributing companies or organizations
10Dangerous-Workflowno dangerous workflow patterns detected
0Dependency-Update-Toolno update tool detected
0Fuzzingproject is not fuzzed
10Licenselicense file detected
3Maintained2 commit(s) and 2 issue activity found in the last 90 days -- score normalized to 3
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
10Vulnerabilities0 existing vulnerabilities detected
Dependencias directas 2
RegistroPaqueteRestricción de versiónManifiesto
PyPIpytest>=8.1pyproject.toml
PyPIpy-cpuinfo2>=10.1pyproject.toml
Todas las dependencias 7

Conjunto completo de dependencias resueltas según el grafo de dependencias de GitHub: 0 paquetes directos y 7 indirectos (transitivos). El cierre transitivo es completo cuando el repositorio incluye un lockfile.

RegistroPaqueteVersiónRelación
PyPIfuroindirecta
PyPIpipindirecta
PyPIsetuptoolsindirecta
PyPIsetuptools-scmindirecta
PyPIsphinxindirecta
PyPItoxindirecta
PyPIvirtualenvindirecta
Informe JSON sin procesar legible por máquina
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            "reason": "no dangerous workflow patterns detected",
            "documentation_url": "https://github.com/ossf/scorecard/blob/c395761df6afe1a69e476bc60a013a94bcbc153f/docs/checks.md#dangerous-workflow"
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                "name": "Pre-commit hooks",
                "detail": null,
                "points": 9.6,
                "status": "met",
                "details": [],
                "max_points": 9.6
              },
              {
                "key": "editorconfig",
                "name": ".editorconfig",
                "detail": null,
                "points": 6.4,
                "status": "met",
                "details": [],
                "max_points": 6.4
              },
              {
                "key": "openssf_scorecard_ci_tests",
                "name": "OpenSSF Scorecard: CI-Tests",
                "detail": "8 out of 12 merged PRs checked by a CI test -- score normalized to 6",
                "points": 12,
                "status": "partial",
                "details": [],
                "max_points": 20
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          {
            "key": "documentation",
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              "has_wiki": true,
              "homepage": null,
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              "has_docs_dir": true,
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            "components": [
              {
                "key": "readme",
                "name": "README",
                "detail": null,
                "points": 30,
                "status": "met",
                "details": [],
                "max_points": 30
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              {
                "key": "documentation_directory",
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                "points": 25,
                "status": "met",
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              {
                "key": "documentation_homepage_site",
                "name": "Documentation / homepage site",
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                "points": 0,
                "status": "missed",
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              {
                "key": "repository_description",
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                "points": 10,
                "status": "met",
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              {
                "key": "topics",
                "name": "Topics",
                "detail": "5 topics",
                "points": 10,
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                "details": [
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                    "code": "topics_count",
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                "max_points": 10
              },
              {
                "key": "wiki",
                "name": "Wiki",
                "detail": null,
                "points": 10,
                "status": "met",
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                "max_points": 10
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        ],
        "description": "Are baseline engineering and documentation practices in place?"
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      {
        "key": "security",
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        "name": "Security",
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        "weight": 0.16,
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              "checks_evaluated": 16,
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            "components": [
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                "key": "binary_artifacts",
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                "status": "missed",
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                "key": "code_review",
                "name": "Code-Review",
                "detail": "Found 12/18 approved changesets -- score normalized to 6",
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                "key": "contributors",
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              {
                "key": "dangerous_workflow",
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                "points": 10,
                "status": "met",
                "details": [],
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              },
              {
                "key": "dependency_update_tool",
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                "points": 0,
                "status": "missed",
                "details": [],
                "max_points": 7.5
              },
              {
                "key": "fuzzing",
                "name": "Fuzzing",
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                "points": 0,
                "status": "missed",
                "details": [],
                "max_points": 5
              },
              {
                "key": "license",
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                "detail": "license file detected",
                "points": 2.5,
                "status": "met",
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                "max_points": 2.5
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              {
                "key": "maintained",
                "name": "Maintained",
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                "points": 2.2,
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                "details": [],
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                "key": "packaging",
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                "points": 0,
                "status": "excluded",
                "details": [
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                    "code": "no_data",
                    "params": {}
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                "max_points": 5
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              {
                "key": "pinned_dependencies",
                "name": "Pinned-Dependencies",
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                "points": 0,
                "status": "missed",
                "details": [],
                "max_points": 5
              },
              {
                "key": "sast",
                "name": "SAST",
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                "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",
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                "points": 0,
                "status": "excluded",
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                "key": "token_permissions",
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                "status": "missed",
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                "key": "vulnerabilities",
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                "points": 7.5,
                "status": "met",
                "details": [],
                "max_points": 7.5
              }
            ]
          },
          {
            "key": "high_risk_jurisdiction_exposure",
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            "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": [
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                "code": "jurisdiction_evidence_limits",
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                "Iran",
                "North Korea"
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              "assessed_self_published_locations": 9
            },
            "components": [
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                "key": "policy_exposure_multiplier",
                "name": "Policy exposure multiplier",
                "detail": "no confirmed policy-scope location match",
                "points": 100,
                "status": "met",
                "details": [
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                    "code": "jurisdiction_no_match",
                    "params": {}
                  }
                ],
                "max_points": 100
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            ]
          }
        ],
        "description": "Are visible security and supply-chain practices strong, with no malicious dependency and no unresolved high-risk jurisdiction exposure?"
      },
      {
        "key": "ai_readiness",
        "band": "at_risk",
        "name": "AI Readiness",
        "value": 40,
        "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"
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                }
              },
              {
                "code": "weights_renormalized",
                "params": {}
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            "value": 1,
            "inputs": {
              "has_llms_txt": false,
              "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": [
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                    "code": "no_agent_instructions",
                    "params": {}
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                "max_points": 45
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                "key": "machine_readable_docs_llms_txt",
                "name": "Machine-readable docs (llms.txt)",
                "detail": null,
                "points": 0,
                "status": "missed",
                "details": [],
                "max_points": 15
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              {
                "key": "legible_commit_history",
                "name": "Legible commit history",
                "detail": "no data",
                "points": 0,
                "status": "excluded",
                "details": [
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                    "code": "no_data",
                    "params": {}
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                "max_points": 40
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            ]
          },
          {
            "key": "ai_verify_loop",
            "band": "moderate",
            "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": [
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              {
                "code": "weights_renormalized",
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            "value": 54,
            "inputs": {
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              "bootstrap_files": [],
              "has_devcontainer": false,
              "has_linter_config": true,
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                "status": "met",
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                "max_points": 11
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                "points": 11,
                "status": "met",
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                "status": "missed",
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              },
              {
                "key": "demonstrated_agent_practice",
                "name": "Demonstrated agent practice",
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                "status": "excluded",
                "details": [
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                    "params": {}
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                ],
                "max_points": 10
              },
              {
                "key": "automated_maintenance",
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                "details": [
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                ],
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              },
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                "key": "openssf_scorecard_pinned_dependencies",
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                "points": 0,
                "status": "missed",
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            ]
          },
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            "notes": [],
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              "oversized_source_files": 0
            },
            "components": [
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                "status": "partial",
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            ]
          },
          {
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            "band": "at_risk",
            "name": "Machine-readable interfaces",
            "note": null,
            "notes": [],
            "value": 40,
            "inputs": {
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              ],
              "has_mcp_signal": false,
              "api_schema_files": []
            },
            "components": [
              {
                "key": "api_schema_openapi_graphql_proto",
                "name": "API schema (OpenAPI/GraphQL/proto)",
                "detail": null,
                "points": 0,
                "status": "missed",
                "details": [],
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              },
              {
                "key": "mcp_server",
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                "points": 0,
                "status": "missed",
                "details": [],
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              },
              {
                "key": "runnable_examples",
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                "points": 40,
                "status": "met",
                "details": [
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                    }
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                ],
                "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": [],
  "report_type": "repository",
  "generated_at": "2026-07-17T00:18:28.838698Z",
  "schema_version": "0.11.0",
  "badge_url": "https://raw.githubusercontent.com/inspect-software/badges/main/v1/i/ionelmc/pytest-benchmark.svg",
  "full_name": "ionelmc/pytest-benchmark",
  "license_state": "standard",
  "license_spdx": "BSD-2-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.