Registro público
Informe de salud del softwareesquema 0.11.0 · métricas 1.13.0 · 2026-07-15 03:34 UTC

camptocamp / tag-publish

PythonBSD-2-Clause★ 1 estrella⑂ 0 forksdesde nov 2024Ver en GitHub ↗

camptocamp/tag-publish tiene un índice de salud de 57 sobre 100, lo que lo sitúa en la banda Moderado. Su puntuación más alta es Engineering Quality (80/100) y la más baja, Community & Adoption (25/100). Se actualizó por última vez hoy. Una sola persona concentra la mayor parte del trabajo reciente.

57
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.

57
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

CamptocampOrganización
272 seguidores1070 repositorios públicosdesde oct 2008

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
PyPItag-publish1.1.1-151hace 397 díasci

Métricas por categoría

Vitalidad

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

72Bueno · 22% del índice global
Cómo se puntúa
36/36Recencia de push — último push hace 0 días
15.9/36Cadencia de commits — 23/52 semanas con commits
17.5/18Volumen de commits — 87 commits en el último año
10/10OpenSSF Scorecard: Maintained — 15 commit(s) and 0 issue activity found in the last 90 days -- score normalized to 10
Datos de entrada utilizados
commits_last_year87
human_commit_share
days_since_last_push0
active_weeks_last_year23
Cómo se puntúa
27/27Publica versiones — 18 versiones publicadas
7.2/36Recencia de las versiones — última versión hace 397 días
27/27Cadencia de publicación — una versión cada ~22,6 días
0/10OpenSSF Scorecard: Signed-Releases — Project has not signed or included provenance with any releases.
Datos de entrada utilizados
releases_count18
latest_release_tag1.1.1
releases_from_tagsno
days_since_latest_release397
mean_days_between_releases22,6

Comunidad y Adopción

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

25Crítico · 18% del índice global
Cómo se puntúa
0/60Estrellas — 1 estrellas
0/25Forks — 0 forks
2.7/15Observadores — 4 observadores
Datos de entrada utilizados
forks0
stars1
watchers4
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)
0/18Guía CONTRIBUTING
0/13.5Código de conducta
0/7.2Plantilla de issues
0/6.3Plantilla de PR
Datos de entrada utilizados
has_readme
has_license
has_contributingno
has_issue_templateno
has_code_of_conductno
has_pull_request_templateno

Sostenibilidad y Gobernanza

¿Sobrevivirá el proyecto a sus personas: factor bus, capacidad de respuesta, quién lo respalda y mantenimiento del paquete?

53Moderado · 24% del índice global
Cómo se puntúa
9/54Factor bus — la mitad de los commits recae en 1 contribuyente(s)
10.2/22.5Distribución de commits — el principal contribuyente firma el 55% de los commits
4.1/13.5Amplitud de contribuyentes — 3 contribuyentes
10/10OpenSSF Scorecard: Contributors — project has 6 contributing companies or organizations
Datos de entrada utilizados
bus_factor1
contributors_sampled3
top_contributor_share0,547
Cómo se puntúa
0/46.8Resolución de issues — 0% de issues cerradas
35.9/38.3Aceptación de PR — 168/179 PR decididos fusionados
0/15OpenSSF Scorecard: Code-Review — Found 0/4 approved changesets -- score normalized to 0
Datos de entrada utilizados
merged_prs168
open_issues2
closed_issues0
issue_closed_ratio0
closed_unmerged_prs11
Cómo se puntúa
30/30Respaldo de la propiedad — propiedad de una organización
0/20Dominio verificado
17.5/25Alcance del propietario — 272 seguidores de camptocamp
25/25Trayectoria — 1070 repos públicos, cuenta de ~17 años
Datos de entrada utilizados
followers272
owner_typeOrganization
is_verified
owner_logincamptocamp
public_repos1070
account_age_days6488
Cómo se puntúa
25/25Publicado y resoluble — 1 paquete(s) en pypi
14/35Recencia de publicación — última publicación hace 397 días
20/20Historial de versiones — 151 versiones en el registro
20/20No obsoleto — activo, ni obsoleto ni retirado
Datos de entrada utilizados
packagestag-publish
ecosystemspypi
any_deprecatedno
min_days_since_publish397

Calidad de Ingeniería

¿Existen unas prácticas mínimas de ingeniería y documentación?

80Bueno · 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
9.6/9.6Hooks de pre-commit
6.4/6.4.editorconfig
20/20OpenSSF Scorecard: CI-Tests — 17 out of 17 merged PRs checked by a CI test -- score normalized to 10
Datos de entrada utilizados
has_ci
has_tests
has_editorconfig
has_linter_config
has_precommit_config

Documentación

50Moderado
Cómo se puntúa
30/30README
0/25Directorio de documentación
0/15Sitio de documentación / página del proyecto
0/10Descripción del repositorio
10/10Topics — 1 topics
10/10Wiki
Datos de entrada utilizados
topicsgeospatial
has_wiki
homepage
has_readme
has_docs_dirno
has_descriptionno

Seguridad

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

51Moderado · 16% del índice global
Cómo se puntúa
7.5/7.5Binary-Artifacts — no binaries found in the repo
3/7.5Branch-Protection — branch protection is not maximal on development and all release branches
2.5/2.5CI-Tests — 17 out of 17 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 0/4 approved changesets -- score normalized to 0
2.5/2.5Contributors — project has 6 contributing companies or organizations
10/10Dangerous-Workflow — no dangerous workflow patterns detected
7.5/7.5Dependency-Update-Tool — update tool detected
0/5Fuzzing — project is not fuzzed
2.5/2.5Licencia — license file detected
7.5/7.5Maintained — 15 commit(s) and 0 issue activity found in the last 90 days -- score normalized to 10
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
2/5Security-Policy — security policy file detected
0/7.5Signed-Releases — Project has not signed or included provenance with any releases.
0/7.5Token-Permissions — detected GitHub workflow tokens with excessive permissions
6/7.5Vulnerabilities — 2 existing vulnerabilities detected
Datos de entrada utilizados
sourceopenssf_scorecard
checks_evaluated17
scorecard_versionv5.5.0
checks_inconclusive1
scorecard_aggregate5,1
Excluidos de la puntuación (sin datos o no aplicable): packaging. 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.

46En 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
11/11Verificación estática de tipos — tag_publish/py.typed
10/10Entorno reproducible — Dockerfile, lockfile
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
lockfilespoetry.lock
has_dockerfile
typed_languageno
bootstrap_files
has_devcontainerno
has_linter_config
typecheck_configstag_publish/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 (tag_publish/py.typed)
55/55Tamaños de archivo manejables — 0/8 archivos fuente de más de 60 KB
Datos de entrada utilizados
primary_languagePython
largest_source_bytes20.223
source_files_sampled8
oversized_source_files0

Datos clave

1estrellas de GitHub
3contribuidores
87commits en los últimos 12 meses
0días desde el último push
18versiones publicadas
1factor bus
2issues abiertas
npm, PyPIecosistemas de paquetes

Advertencias de recopilación de datos

  • Could not fetch npm package '@camptocamp/tag-publish' from its registry

Más detalle

OpenSSF Scorecard 5.1 / 10
5.1agregado

Evaluación de seguridad independiente y agnóstica en cuanto a herramientas, procedente del proyecto de código abierto OpenSSF Scorecard. Cada comprobación premia una práctica de seguridad, no la herramienta de un proveedor concreto. Las comprobaciones que Scorecard no pudo determinar se marcan como n/d y se excluyen de la puntuación de seguridad (nunca se cuentan como cero).Scorecard v5.5.0 · 2026-07-15 03:33 UTC

10Binary-Artifactsno binaries found in the repo
4Branch-Protectionbranch protection is not maximal on development and all release branches
10CI-Tests17 out of 17 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 0/4 approved changesets -- score normalized to 0
10Contributorsproject has 6 contributing companies or organizations
10Dangerous-Workflowno dangerous workflow patterns detected
10Dependency-Update-Toolupdate tool detected
0Fuzzingproject is not fuzzed
10Licenselicense file detected
10Maintained15 commit(s) and 0 issue activity found in the last 90 days -- score normalized to 10
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
4Security-Policysecurity policy file detected
0Signed-ReleasesProject has not signed or included provenance with any releases.
0Token-Permissionsdetected GitHub workflow tokens with excessive permissions
8Vulnerabilities2 existing vulnerabilities detected
Dependencias directas 10
RegistroPaqueteRestricción de versiónManifiesto
PyPIrequests<3,>=2pyproject.toml
PyPItwine<7,>=6pyproject.toml
PyPIPyYAML<7,>=6pyproject.toml
PyPIid<2,>=1pyproject.toml
PyPIsecurity-md<2,>=1pyproject.toml
PyPIapplications-download<2,>=1pyproject.toml
PyPIjsonschema-validator-new<1,>=0pyproject.toml
PyPIdebian-inspector<32,>=31pyproject.toml
PyPImulti-repo-automation<2,>=1pyproject.toml
PyPIgithubkit<1,>=0pyproject.toml
Todas las dependencias 111

Conjunto completo de dependencias resueltas según el grafo de dependencias de GitHub: 10 paquetes directos y 101 indirectos (transitivos). El cierre transitivo es completo cuando el repositorio incluye un lockfile.

RegistroPaqueteVersiónRelación
PyPIapplications-download1.4.0directa
PyPIdebian-inspector31.1.1directa
PyPIgithubkit0.14.3directa
PyPIid1.5.0directa
PyPIjsonschema-validator-new0.3.2directa
PyPImulti-repo-automation1.7.0directa
PyPIpyyaml6.0.3directa
PyPIrequests2.33.0directa
PyPIsecurity-md1.0.0directa
PyPItwine6.2.0directa
PyPIannotated-types0.7.0indirecta
PyPIanyio4.14.2indirecta
PyPIanysqlite0.0.5indirecta
PyPIast-serialize0.6.0indirecta
PyPIastroid4.0.4indirecta
PyPIattrs26.1.0indirecta
PyPIbackports-tarfile1.2.0indirecta
PyPIbandit1.9.4indirecta
PyPIbuild1.5.1indirecta
PyPIc2cciutils1.7.5indirecta
PyPIcertifi2026.6.17indirecta
PyPIcffi2.1.0indirecta
PyPIchardet7.4.3indirecta
PyPIcharset-normalizer3.4.9indirecta
PyPIcolorama0.4.6indirecta
PyPIconfigupdater3.2indirecta
PyPIcryptography49.0.0indirecta
PyPIdefusedxml0.7.1indirecta
PyPIdill0.4.1indirecta
PyPIdocutils0.23indirecta
PyPIdodgy0.2.1indirecta
PyPIexceptiongroup1.3.1indirecta
PyPIflake87.3.0indirecta
PyPIflake8-polyfill1.0.2indirecta
PyPIh110.16.0indirecta
PyPIhishel0.1.5indirecta
PyPIhttpcore1.0.9indirecta
PyPIhttpx0.28.1indirecta
PyPIidentify2.6.19indirecta
PyPIidna3.18indirecta
PyPIimportlib-metadata9.0.0indirecta
PyPIisort8.0.1indirecta
PyPIjaraco-classes3.4.0indirecta
PyPIjaraco-context6.1.2indirecta
PyPIjaraco-functools4.6.0indirecta
PyPIjeepney0.9.0indirecta
PyPIjson50.15.0indirecta
PyPIjsonschema4.26.0indirecta
PyPIjsonschema-specifications2025.9.1indirecta
PyPIkeyring25.7.0indirecta
PyPIlibrt0.13.0indirecta
PyPImarkdown3.10.2indirecta
PyPImarkdown-it-py4.2.0indirecta
PyPImarkdown-table2020.12.3indirecta
PyPImccabe0.7.0indirecta
PyPImdurl0.1.2indirecta
PyPImore-itertools11.1.0indirecta
PyPImsgpack1.2.1indirecta
PyPImypy2.3.0indirecta
PyPImypy-extensions1.1.0indirecta
PyPInh30.3.6indirecta
PyPIpackaging26.2indirecta
PyPIpathspec1.1.1indirecta
PyPIpep8-naming0.10.0indirecta
PyPIplatformdirs4.10.0indirecta
PyPIpoetry2.4.1indirecta
PyPIpoetry-dynamic-versioning1.10.0indirecta
PyPIpoetry-plugin-export1.10.0indirecta
PyPIpre-commit4.6.0indirecta
PyPIprospector1.17.3indirecta
PyPIprospector-profile-duplicated1.11.0indirecta
PyPIprospector-profile-utils1.26.5indirecta
PyPIpycodestyle2.14.0indirecta
PyPIpycparser3.0indirecta
PyPIpydantic2.13.4indirecta
PyPIpydantic-core2.46.4indirecta
PyPIpydocstyle6.3.0indirecta
PyPIpyflakes3.4.0indirecta
PyPIpygments2.20.0indirecta
PyPIpylint4.0.6indirecta
PyPIpylint-celery0.3indirecta
PyPIpylint-django2.8.0indirecta
PyPIpylint-plugin-utils0.9.0indirecta
PyPIpyproject-hooks1.2.0indirecta
PyPIpyroma5.0.1indirecta
PyPIpywin32-ctypes0.2.3indirecta
PyPIreadme-renderer45.0indirecta
PyPIreferencing0.37.0indirecta
PyPIrequests-toolbelt1.0.0indirecta
PyPIrequirements-detector1.5.0indirecta
PyPIrfc39862.0.0indirecta
PyPIrich15.0.0indirecta
PyPIrpds-py0.30.0indirecta
PyPIruamel-yaml0.19.1indirecta
PyPIruff0.15.21indirecta
PyPIsecretstorage3.5.0indirecta
PyPIsemver3.0.4indirecta
PyPIsetoptconf-tmp0.3.1indirecta
PyPIsetuptools83.0.0indirecta
PyPIsnowballstemmer3.1.1indirecta
PyPIstevedore5.8.0indirecta
PyPItoml0.10.2indirecta
PyPItomli2.4.1indirecta
PyPItomlkit0.15.0indirecta
PyPItrove-classifiers2026.6.1.19indirecta
PyPItypes-pyyaml6.0.12.20260518indirecta
PyPItypes-requests2.33.0.20260712indirecta
PyPItyping-extensions4.16.0indirecta
PyPItyping-inspection0.4.2indirecta
PyPIurllib32.7.0indirecta
PyPIzipp4.1.0indirecta
Informe JSON sin procesar legible por máquina
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                "key": "fuzzing",
                "name": "Fuzzing",
                "detail": "project is not fuzzed",
                "points": 0,
                "status": "missed",
                "details": [],
                "max_points": 5
              },
              {
                "key": "license",
                "name": "License",
                "detail": "license file detected",
                "points": 2.5,
                "status": "met",
                "details": [],
                "max_points": 2.5
              },
              {
                "key": "maintained",
                "name": "Maintained",
                "detail": "15 commit(s) and 0 issue activity found in the last 90 days -- score normalized to 10",
                "points": 7.5,
                "status": "met",
                "details": [],
                "max_points": 7.5
              },
              {
                "key": "packaging",
                "name": "Packaging",
                "detail": "packaging workflow not detected",
                "points": 0,
                "status": "excluded",
                "details": [
                  {
                    "code": "no_data",
                    "params": {}
                  }
                ],
                "max_points": 5
              },
              {
                "key": "pinned_dependencies",
                "name": "Pinned-Dependencies",
                "detail": "dependency not pinned by hash detected -- score normalized to 0",
                "points": 0,
                "status": "missed",
                "details": [],
                "max_points": 5
              },
              {
                "key": "sast",
                "name": "SAST",
                "detail": "SAST tool is not run on all commits -- score normalized to 0",
                "points": 0,
                "status": "missed",
                "details": [],
                "max_points": 5
              },
              {
                "key": "security_policy",
                "name": "Security-Policy",
                "detail": "security policy file detected",
                "points": 2,
                "status": "partial",
                "details": [],
                "max_points": 5
              },
              {
                "key": "signed_releases",
                "name": "Signed-Releases",
                "detail": "Project has not signed or included provenance with any releases.",
                "points": 0,
                "status": "missed",
                "details": [],
                "max_points": 7.5
              },
              {
                "key": "token_permissions",
                "name": "Token-Permissions",
                "detail": "detected GitHub workflow tokens with excessive permissions",
                "points": 0,
                "status": "missed",
                "details": [],
                "max_points": 7.5
              },
              {
                "key": "vulnerabilities",
                "name": "Vulnerabilities",
                "detail": "2 existing vulnerabilities detected",
                "points": 6,
                "status": "partial",
                "details": [],
                "max_points": 7.5
              }
            ]
          },
          {
            "key": "high_risk_jurisdiction_exposure",
            "band": "excellent",
            "name": "High-Risk Jurisdiction Exposure",
            "note": "Only high-confidence self-published location evidence affects this multiplier. Ambiguous matches are review-only; country evidence is not proof of nationality, citizenship, legal registration, malicious intent, or sanctions status.",
            "notes": [
              {
                "code": "jurisdiction_evidence_limits",
                "params": {}
              }
            ],
            "value": 100,
            "inputs": {
              "meaning": "self-published location evidence; not nationality or citizenship",
              "red_flag": false,
              "exposures": [],
              "policy_countries": [
                "Russia",
                "Iran",
                "North Korea"
              ],
              "review_only_matches": 0,
              "assessed_self_published_locations": 2
            },
            "components": [
              {
                "key": "policy_exposure_multiplier",
                "name": "Policy exposure multiplier",
                "detail": "no confirmed policy-scope location match",
                "points": 100,
                "status": "met",
                "details": [
                  {
                    "code": "jurisdiction_no_match",
                    "params": {}
                  }
                ],
                "max_points": 100
              }
            ]
          }
        ],
        "description": "Are visible security and supply-chain practices strong, with no malicious dependency and no unresolved high-risk jurisdiction exposure?"
      },
      {
        "key": "ai_readiness",
        "band": "at_risk",
        "name": "AI Readiness",
        "value": 46,
        "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": "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": [
                    "demonstrated_agent_practice",
                    "automated_maintenance"
                  ]
                }
              },
              {
                "code": "weights_renormalized",
                "params": {}
              }
            ],
            "value": 66,
            "inputs": {
              "has_nix": false,
              "has_tests": true,
              "lockfiles": [
                "poetry.lock"
              ],
              "has_dockerfile": true,
              "typed_language": false,
              "bootstrap_files": [],
              "has_devcontainer": false,
              "has_linter_config": true,
              "typecheck_configs": [
                "tag_publish/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": "tag_publish/py.typed",
                "points": 11,
                "status": "met",
                "details": [
                  {
                    "code": "file_list",
                    "params": {
                      "files": "tag_publish/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 0",
                "points": 0,
                "status": "missed",
                "details": [],
                "max_points": 10
              }
            ]
          },
          {
            "key": "ai_code_legibility",
            "band": "good",
            "name": "Code legibility for models",
            "note": null,
            "notes": [],
            "value": 82,
            "inputs": {
              "primary_language": "Python",
              "largest_source_bytes": 20223,
              "source_files_sampled": 8,
              "oversized_source_files": 0
            },
            "components": [
              {
                "key": "type_checkable_code",
                "name": "Type-checkable code",
                "detail": "Python with type-check config (tag_publish/py.typed)",
                "points": 27,
                "status": "partial",
                "details": [
                  {
                    "code": "typecheck_config_language",
                    "params": {
                      "files": "tag_publish/py.typed",
                      "language": "Python"
                    }
                  }
                ],
                "max_points": 45
              },
              {
                "key": "manageable_file_sizes",
                "name": "Manageable file sizes",
                "detail": "0/8 source files over 60KB",
                "points": 55,
                "status": "met",
                "details": [
                  {
                    "code": "oversized_source_files",
                    "params": {
                      "kb": 60,
                      "sampled": 8,
                      "oversized": 0
                    }
                  }
                ],
                "max_points": 55
              }
            ]
          }
        ],
        "description": "How well is the repo equipped to be developed and maintained with AI coding agents? An independent, experimental badge — weight 0.0, so it is surfaced on its own and does not affect the overall health score."
      }
    ],
    "metrics_version": "1.13.0"
  },
  "warnings": [
    "Could not fetch npm package '@camptocamp/tag-publish' from its registry"
  ],
  "report_type": "repository",
  "generated_at": "2026-07-15T03:34:03.542032Z",
  "schema_version": "0.11.0",
  "badge_url": "https://raw.githubusercontent.com/inspect-software/badges/main/v1/c/camptocamp/tag-publish.svg",
  "full_name": "camptocamp/tag-publish",
  "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.