Registro público
Informe de salud del softwareesquema 0.11.0 · métricas 1.13.0 · 2026-07-14 17:11 UTC

turnstonelabs / turnstone

PythonApache-2.0★ 872 estrellas⑂ 74 forksdesde mar 2026Ver en GitHub ↗

turnstonelabs/turnstone tiene un índice de salud de 70 sobre 100, lo que lo sitúa en la banda Bueno. Su puntuación más alta es Vitality (87/100) y la más baja, AI Readiness (50/100). Se actualizó por última vez hoy. Una sola persona concentra la mayor parte del trabajo reciente.

70
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.

70
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

turnstonelabsOrganización
24 seguidores3 repositorios públicosdesde mar 2026

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
PyPIturnstone1.7.4-128hace 2 días

Métricas por categoría

Vitalidad

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

87Excelente · 22% del índice global
Cómo se puntúa
36/36Recencia de push — último push hace 0 días
13.8/36Cadencia de commits — 20/52 semanas con commits
18/18Volumen de commits — 1605 commits en el último año
10/10OpenSSF Scorecard: Maintained — 30 commit(s) and 0 issue activity found in the last 90 days -- score normalized to 10
Datos de entrada utilizados
commits_last_year1605
human_commit_share
days_since_last_push0
active_weeks_last_year20
Cómo se puntúa
27/27Publica versiones — 100 versiones publicadas
36/36Recencia de las versiones — última versión hace 0 días
27/27Cadencia de publicación — una versión cada ~1,8 días
0/10OpenSSF Scorecard: Signed-Releases — sin datos
Datos de entrada utilizados
releases_count100
latest_release_tagv1.8.0a1
releases_from_tagsno
days_since_latest_release0
mean_days_between_releases1,8
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?

69Moderado · 18% del índice global
Cómo se puntúa
47.7/60Estrellas — 872 estrellas
15.5/25Forks — 74 forks
5.8/15Observadores — 12 observadores
Datos de entrada utilizados
forks74
stars872
watchers12
growth_stateunverified
growth_factor_pct100
growth_unverified_reasonno_history
Cómo se puntúa
22.5/22.5README
22.5/22.5Licencia — licencia reconocida (Apache-2.0)
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?

57Moderado · 24% del índice global
Cómo se puntúa
9/54Factor bus — la mitad de los commits recae en 1 contribuyente(s)
2.1/22.5Distribución de commits — el principal contribuyente firma el 91% de los commits
13.5/13.5Amplitud de contribuyentes — 14 contribuyentes
3/10OpenSSF Scorecard: Contributors — project has 1 contributing companies or organizations -- score normalized to 3
Datos de entrada utilizados
bus_factor1
contributors_sampled14
top_contributor_share0,907
Cómo se puntúa
34.2/46.8Resolución de issues — 73% de issues cerradas
37.2/38.3Aceptación de PR — 735/756 PR decididos fusionados
0/15OpenSSF Scorecard: Code-Review — Found 0/5 approved changesets -- score normalized to 0
Datos de entrada utilizados
merged_prs735
open_issues22
closed_issues60
issue_closed_ratio0,732
closed_unmerged_prs21
Cómo se puntúa
30/30Respaldo de la propiedad — propiedad de una organización
0/20Dominio verificado
10.1/25Alcance del propietario — 24 seguidores de turnstonelabs
5.1/25Trayectoria — 3 repos públicos, cuenta de ~0 años
Datos de entrada utilizados
followers24
owner_typeOrganization
is_verified
owner_loginturnstonelabs
public_repos3
account_age_days134
Cómo se puntúa
25/25Publicado y resoluble — 1 paquete(s) en pypi
35/35Recencia de publicación — última publicación hace 2 días
20/20Historial de versiones — 128 versiones en el registro
20/20No obsoleto — activo, ni obsoleto ni retirado
Datos de entrada utilizados
packagesturnstone
ecosystemspypi
any_deprecatedno
min_days_since_publish2

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 — 7 flujo(s) de trabajo
24/24Pruebas presentes
16/16Configuración de linter
9.6/9.6Hooks de pre-commit
0/6.4.editorconfig
20/20OpenSSF Scorecard: CI-Tests — 3 out of 3 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_config

Documentación

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

Seguridad

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

55Moderado · 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
2.5/2.5CI-Tests — 3 out of 3 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
0/7.5Code-Review — Found 0/5 approved changesets -- score normalized to 0
0.8/2.5Contributors — project has 1 contributing companies or organizations -- score normalized to 3
0/10Dangerous-Workflow — 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
7.5/7.5Maintained — 30 commit(s) and 0 issue activity found in the last 90 days -- score normalized to 10
5/5Packaging — packaging workflow detected
2.5/5Pinned-Dependencies — dependency not pinned by hash detected -- score normalized to 5
5/5SAST — SAST tool is run on all commits
5/5Security-Policy — security policy file detected
0/7.5Signed-Releases — sin datos
0/7.5Token-Permissions — detected GitHub workflow tokens with excessive permissions
7.5/7.5Vulnerabilities — 0 existing vulnerabilities detected
Datos de entrada utilizados
sourceopenssf_scorecard
checks_evaluated17
scorecard_versionv5.5.0
checks_inconclusive1
scorecard_aggregate5,5
Excluidos de la puntuación (sin datos o no aplicable): signed_releases. Los pesos restantes se han renormalizado.

Preparación para IA

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

50Moderado · 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
11/11Verificación estática de tipos — sdk/typescript/tsconfig.json, turnstone/sdk/py.typed
10/10Entorno reproducible — Dockerfile, lockfile
0/10Práctica demostrada con agentes — sin datos
0/8Mantenimiento automatizado — sin datos
5/10OpenSSF Scorecard: Pinned-Dependencies — dependency not pinned by hash detected -- score normalized to 5
Datos de entrada utilizados
has_nixno
has_tests
lockfilespackage-lock.json, uv.lock
has_dockerfile
typed_languageno
bootstrap_files
has_devcontainerno
has_linter_config
typecheck_configssdk/typescript/tsconfig.json, turnstone/sdk/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 (sdk/typescript/tsconfig.json, turnstone/sdk/py.typed)
50.4/55Tamaños de archivo manejables — 55/654 archivos fuente de más de 60 KB
Datos de entrada utilizados
primary_languagePython
largest_source_bytes3.565.102
source_files_sampled654
oversized_source_files55
Cómo se puntúa
0/40Esquema de API (OpenAPI/GraphQL/proto)
20/20Servidor MCP
40/40Ejemplos ejecutables — examples
Datos de entrada utilizados
example_dirsexamples
has_mcp_signal
api_schema_files

Datos clave

872estrellas de GitHub
14contribuidores
1605commits en los últimos 12 meses
0días desde el último push
100versiones publicadas
1factor bus
22issues abiertas
PyPIecosistemas de paquetes

Más detalle

OpenSSF Scorecard 5.5 / 10
5.5agregado

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 · 2026-07-14 17:10 UTC

10Binary-Artifactsno binaries found in the repo
0Branch-Protectionbranch protection not enabled on development/release branches
10CI-Tests3 out of 3 merged PRs checked by a CI test -- score normalized to 10
0CII-Best-Practicesno effort to earn an OpenSSF best practices badge detected
0Code-ReviewFound 0/5 approved changesets -- score normalized to 0
3Contributorsproject has 1 contributing companies or organizations -- score normalized to 3
0Dangerous-Workflowdangerous workflow patterns detected
10Dependency-Update-Toolupdate tool detected
0Fuzzingproject is not fuzzed
10Licenselicense file detected
10Maintained30 commit(s) and 0 issue activity found in the last 90 days -- score normalized to 10
10Packagingpackaging workflow detected
5Pinned-Dependenciesdependency not pinned by hash detected -- score normalized to 5
10SASTSAST tool is run on all commits
10Security-Policysecurity policy file detected
n/dSigned-Releasesno releases found
0Token-Permissionsdetected GitHub workflow tokens with excessive permissions
10Vulnerabilities0 existing vulnerabilities detected
Dependencias directas 24
RegistroPaqueteRestricción de versiónManifiesto
PyPIopenai>=2.45pyproject.toml
PyPIanthropic>=0.108pyproject.toml
PyPIhttpx>=0.28pyproject.toml
PyPImcp>=1.27,<2pyproject.toml
PyPIstarlette>=1.3.1pyproject.toml
PyPIuvicorn>=0.34pyproject.toml
PyPIsse-starlette>=2.0pyproject.toml
PyPIhttpx-sse>=0.4pyproject.toml
PyPIpydantic>=2.0pyproject.toml
PyPIpydantic-settings>=2.14.2pyproject.toml
PyPIsqlalchemy>=2.0pyproject.toml
PyPIalembic>=1.14pyproject.toml
PyPIpsycopg>=3.2pyproject.toml
PyPIcroniter>=3.0pyproject.toml
PyPIstructlog>=24.1pyproject.toml
PyPIPyJWT>=2.8pyproject.toml
PyPIbcrypt>=4.0pyproject.toml
PyPIcryptography>=48.0.1pyproject.toml
PyPIlacme>=1.0.5pyproject.toml
PyPIpython-frontmatter>=1.0pyproject.toml
PyPIpypdfium2>=4pyproject.toml
PyPIpillow>=10pyproject.toml
PyPIaltair>=6.0pyproject.toml
PyPIvl-convert-python>=1.6pyproject.toml
Todas las dependencias 188

Conjunto completo de dependencias resueltas según el grafo de dependencias de GitHub: 25 paquetes directos y 163 indirectos (transitivos). El cierre transitivo es completo cuando el repositorio incluye un lockfile.

RegistroPaqueteVersiónRelación
PyPIalembic1.18.5directa
PyPIaltair6.2.2directa
PyPIanthropic0.116.0directa
PyPIbcrypt5.0.0directa
PyPIcroniter6.2.3directa
PyPIcryptography49.0.0directa
PyPIhttpx0.28.1directa
PyPIhttpx-sse0.4.3directa
PyPIlacme1.0.5directa
PyPImcp1.28.1directa
PyPImcpdirecta
PyPIopenai2.45.0directa
PyPIpillow12.3.0directa
PyPIpsycopg3.3.4directa
PyPIpydantic2.13.4directa
PyPIpydantic-settings2.14.2directa
PyPIpyjwt2.13.0directa
PyPIpypdfium25.11.0directa
PyPIpython-frontmatter1.3.0directa
PyPIsqlalchemy2.0.51directa
PyPIsse-starlette3.4.5directa
PyPIstarlette1.3.1directa
PyPIstructlog26.1.0directa
PyPIuvicorn0.50.2directa
PyPIvl-convert-python1.9.0.post1directa
npm@emnapi/core1.11.1indirecta
npm@emnapi/runtime1.11.1indirecta
npm@emnapi/wasi-threads1.2.2indirecta
npm@jridgewell/sourcemap-codec1.5.5indirecta
npm@napi-rs/wasm-runtime1.1.6indirecta
npm@oxc-project/types0.138.0indirecta
npm@rolldown/binding-android-arm641.1.4indirecta
npm@rolldown/binding-darwin-arm641.1.4indirecta
npm@rolldown/binding-darwin-x641.1.4indirecta
npm@rolldown/binding-freebsd-x641.1.4indirecta
npm@rolldown/binding-linux-arm-gnueabihf1.1.4indirecta
npm@rolldown/binding-linux-arm64-gnu1.1.4indirecta
npm@rolldown/binding-linux-arm64-musl1.1.4indirecta
npm@rolldown/binding-linux-ppc64-gnu1.1.4indirecta
npm@rolldown/binding-linux-s390x-gnu1.1.4indirecta
npm@rolldown/binding-linux-x64-gnu1.1.4indirecta
npm@rolldown/binding-linux-x64-musl1.1.4indirecta
npm@rolldown/binding-openharmony-arm641.1.4indirecta
npm@rolldown/binding-wasm32-wasi1.1.4indirecta
npm@rolldown/binding-win32-arm64-msvc1.1.4indirecta
npm@rolldown/binding-win32-x64-msvc1.1.4indirecta
npm@rolldown/pluginutils1.0.1indirecta
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npm@typescript/typescript-linux-ppc647.0.2indirecta
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npm@typescript/typescript-linux-s390x7.0.2indirecta
npm@typescript/typescript-linux-x647.0.2indirecta
npm@typescript/typescript-netbsd-arm647.0.2indirecta
npm@typescript/typescript-netbsd-x647.0.2indirecta
npm@typescript/typescript-openbsd-arm647.0.2indirecta
npm@typescript/typescript-openbsd-x647.0.2indirecta
npm@typescript/typescript-sunos-x647.0.2indirecta
npm@typescript/typescript-win32-arm647.0.2indirecta
npm@typescript/typescript-win32-x647.0.2indirecta
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npm@vitest/utils4.1.10indirecta
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Informe JSON sin procesar legible por máquina
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                "key": "token_permissions",
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              },
              {
                "key": "vulnerabilities",
                "name": "Vulnerabilities",
                "detail": "0 existing vulnerabilities detected",
                "points": 7.5,
                "status": "met",
                "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": 4
            },
            "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": 50,
        "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": 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": [
                  {
                    "code": "no_agent_instructions",
                    "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": "good",
            "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": 72,
            "inputs": {
              "has_nix": false,
              "has_tests": true,
              "lockfiles": [
                "package-lock.json",
                "uv.lock"
              ],
              "has_dockerfile": true,
              "typed_language": false,
              "bootstrap_files": [],
              "has_devcontainer": false,
              "has_linter_config": true,
              "typecheck_configs": [
                "sdk/typescript/tsconfig.json",
                "turnstone/sdk/py.typed"
              ],
              "agent_commit_share": null,
              "toolchain_manifests": [],
              "dependency_bot_commit_share": null
            },
            "components": [
              {
                "key": "one_command_bootstrap",
                "name": "One-command bootstrap",
                "detail": null,
                "points": 0,
                "status": "missed",
                "details": [],
                "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": "sdk/typescript/tsconfig.json, turnstone/sdk/py.typed",
                "points": 11,
                "status": "met",
                "details": [
                  {
                    "code": "file_list",
                    "params": {
                      "files": "sdk/typescript/tsconfig.json, turnstone/sdk/py.typed"
                    }
                  }
                ],
                "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": "dependency not pinned by hash detected -- score normalized to 5",
                "points": 5,
                "status": "partial",
                "details": [],
                "max_points": 10
              }
            ]
          },
          {
            "key": "ai_code_legibility",
            "band": "good",
            "name": "Code legibility for models",
            "note": null,
            "notes": [],
            "value": 77,
            "inputs": {
              "primary_language": "Python",
              "largest_source_bytes": 3565102,
              "source_files_sampled": 654,
              "oversized_source_files": 55
            },
            "components": [
              {
                "key": "type_checkable_code",
                "name": "Type-checkable code",
                "detail": "Python with type-check config (sdk/typescript/tsconfig.json, turnstone/sdk/py.typed)",
                "points": 27,
                "status": "partial",
                "details": [
                  {
                    "code": "typecheck_config_language",
                    "params": {
                      "files": "sdk/typescript/tsconfig.json, turnstone/sdk/py.typed",
                      "language": "Python"
                    }
                  }
                ],
                "max_points": 45
              },
              {
                "key": "manageable_file_sizes",
                "name": "Manageable file sizes",
                "detail": "55/654 source files over 60KB",
                "points": 50.4,
                "status": "partial",
                "details": [
                  {
                    "code": "oversized_source_files",
                    "params": {
                      "kb": 60,
                      "sampled": 654,
                      "oversized": 55
                    }
                  }
                ],
                "max_points": 55
              }
            ]
          },
          {
            "key": "ai_interfaces",
            "band": "moderate",
            "name": "Machine-readable interfaces",
            "note": null,
            "notes": [],
            "value": 60,
            "inputs": {
              "example_dirs": [
                "examples"
              ],
              "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",
                "points": 40,
                "status": "met",
                "details": [
                  {
                    "code": "file_list",
                    "params": {
                      "files": "examples"
                    }
                  }
                ],
                "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": "2026-07-14T17:11:26.179960Z",
  "schema_version": "0.11.0",
  "badge_url": "https://raw.githubusercontent.com/inspect-software/badges/main/v1/t/turnstonelabs/turnstone.svg",
  "full_name": "turnstonelabs/turnstone",
  "license_state": "standard",
  "license_spdx": "Apache-2.0"
}

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.