Registro público
Informe de salud del softwareesquema 0.14.0 · métricas 1.13.0 · 2026-07-19 02:02 UTC

cve-search / vulnerability-lookup

Vulnerability-Lookup facilitates quick correlation of vulnerabilities from various sources, independent of vulnerability IDs, and streamlines the management of Coordinated Vulnerability Disclosure (CVD).

Python · HTMLAGPL-3.0★ 547 estrellas⑂ 85 forksdesde nov 2022Ver en GitHub ↗

cve-search/vulnerability-lookup tiene un índice de salud de 81 sobre 100, lo que lo sitúa en la banda Bueno. Su puntuación más alta es Engineering Quality (100/100) y la más baja, Sustainability & Governance (54/100). Se actualizó por última vez hace 1 día. Una sola persona concentra la mayor parte del trabajo reciente.

81
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.

81
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

58 seguidores23 repositorios públicosdesde ene 2025

Este repositorio está respaldado por una organización: una custodia compartida y responsable que puede sobrevivir a cualquier mantenedor individual.

Métricas por categoría

Vitalidad

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

99Excelente · 22% del índice global
Cómo se puntúa
36/36Recencia de push — último push hace 1 días
34.6/36Cadencia de commits — 50/52 semanas con commits
18/18Volumen de commits — 1304 commits en el último año
10/10OpenSSF Scorecard: Maintained — 30 commit(s) and 24 issue activity found in the last 90 days -- score normalized to 10
Datos de entrada utilizados
commits_last_year1304
human_commit_share
days_since_last_push1
active_weeks_last_year50
Cómo se puntúa
27/27Publica versiones — 49 versiones publicadas
36/36Recencia de las versiones — última versión hace 8 días
27/27Cadencia de publicación — una versión cada ~12,4 días
0/10OpenSSF Scorecard: Signed-Releases — sin datos
Datos de entrada utilizados
releases_count49
latest_release_tagv5.4.0
releases_from_tagsno
days_since_latest_release8
mean_days_between_releases12,4
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?

79Bueno · 18% del índice global
Cómo se puntúa
44.4/60Estrellas — 547 estrellas
16/25Forks — 85 forks
6.7/15Observadores — 17 observadores
Datos de entrada utilizados
forks85
stars547
watchers17
growth_stateunverified
growth_factor_pct100
growth_unverified_reasonno_history
Cómo se puntúa
22.5/22.5README
22.5/22.5Licencia — licencia reconocida (AGPL-3.0)
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_readme
has_license
has_contributing
has_issue_templateno
has_code_of_conduct
has_pull_request_template

Sostenibilidad y Gobernanza

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

54Moderado · 24% del índice global
Cómo se puntúa
9/54Factor bus — la mitad de los commits recae en 1 contribuyente(s)
4/22.5Distribución de commits — el principal contribuyente firma el 82% de los commits
13.5/13.5Amplitud de contribuyentes — 27 contribuyentes
10/10OpenSSF Scorecard: Contributors — project has 34 contributing companies or organizations
Datos de entrada utilizados
bus_factor1
contributors_sampled27
top_contributor_share0,822
Cómo se puntúa
37.6/46.8Resolución de issues — 80% de issues cerradas
32.4/38.3Aceptación de PR — 134/158 PR decididos fusionados
4.5/15OpenSSF Scorecard: Code-Review — Found 4/13 approved changesets -- score normalized to 3
Datos de entrada utilizados
merged_prs134
open_issues62
closed_issues254
issue_closed_ratio0,804
closed_unmerged_prs24
Cómo se puntúa
30/30Respaldo de la propiedad — propiedad de una organización
0/20Dominio verificado
12.7/25Alcance del propietario — 58 seguidores de vulnerability-lookup
13/25Trayectoria — 23 repos públicos, cuenta de ~1 años
Datos de entrada utilizados
followers58
owner_typeOrganization
is_verified
owner_loginvulnerability-lookup
public_repos23
account_age_days540

Calidad de Ingeniería

¿Existen unas prácticas mínimas de ingeniería y documentación?

100Excelente · 20% del índice global
Cómo se puntúa
24/24Flujos de trabajo de CI — 4 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 — 7 out of 7 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

100Excelente
Cómo se puntúa
30/30README
25/25Directorio de documentación
15/15Sitio de documentación / página del proyecto — https://www.vulnerability-lookup.org
10/10Descripción del repositorio
10/10Topics — 5 topics
10/10Wiki
Datos de entrada utilizados
topicscvd, cvd-policy, cve, vulnerability-databases, vulnerability-lookup
has_wiki
homepagehttps://www.vulnerability-lookup.org
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?

75Bueno · 16% del índice global
Cómo se puntúa
7.5/7.5Binary-Artifacts — no binaries found in the repo
2.2/7.5Branch-Protection — branch protection is not maximal on development and all release branches
2.5/2.5CI-Tests — 7 out of 7 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
2.2/7.5Code-Review — Found 4/13 approved changesets -- score normalized to 3
2.5/2.5Contributors — project has 34 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 — 30 commit(s) and 24 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
5/5SAST — SAST tool is run on all commits
5/5Security-Policy — security policy file detected
0/7.5Signed-Releases — sin datos
7.5/7.5Token-Permissions — GitHub workflow tokens follow principle of least privilege
7.5/7.5Vulnerabilities — 0 existing vulnerabilities detected
Datos de entrada utilizados
sourceopenssf_scorecard
checks_evaluated16
scorecard_versionv5.5.0
checks_inconclusive2
scorecard_aggregate7,5
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.

82Bueno · 0% del índice global
Cómo se puntúa
45/45Instrucciones para agentes — CLAUDE.md
15/15Documentación legible por máquinas (llms.txt) — llms.txt presente
0/40Historial de commits legible — sin datos
Datos de entrada utilizados
has_llms_txt
legible_history_share
agent_instruction_filesCLAUDE.md
agent_instruction_max_bytes8119
Excluidos de la puntuación (sin datos o no aplicable): Historial de commits legible. Los pesos restantes se han renormalizado.
Cómo se puntúa
18/18Arranque con un solo comando — docs/Makefile
22/22Pruebas automatizadas
11/11Configuración de lint / formato
11/11Verificación estática de tipos — mypy.ini
10/10Entorno reproducible — Dockerfile, lockfile
0/10Práctica demostrada con agentes — sin datos
5/8Mantenimiento automatizado — automatización de dependencias configurada, no observada en los commits muestreados
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_filesdocs/Makefile
has_devcontainerno
has_linter_config
typecheck_configsmypy.ini
agent_commit_share
toolchain_manifests
dependency_bot_commit_share0
Excluidos de la puntuación (sin datos o no aplicable): Práctica demostrada con agentes. Los pesos restantes se han renormalizado.
Cómo se puntúa
27/45Código verificable por tipos — Python con configuración de verificación de tipos (mypy.ini)
52.9/55Tamaños de archivo manejables — 16/423 archivos fuente de más de 60 KB
Datos de entrada utilizados
primary_languagePython
largest_source_bytes527.216
source_files_sampled423
oversized_source_files16
Cómo se puntúa
40/40Esquema de API (OpenAPI/GraphQL/proto) — docs/_static/files/swagger.json
0/20Servidor MCP
0/40Ejemplos ejecutables
Datos de entrada utilizados
example_dirs
has_mcp_signalno
api_schema_filesdocs/_static/files/swagger.json

Datos clave

547estrellas de GitHub
27contribuidores
1304commits en los últimos 12 meses
1días desde el último push
49versiones publicadas
1factor bus
62issues abiertas
PyPIecosistemas de paquetes

Advertencias de recopilación de datos

  • Could not fetch pypi package 'vulnerabilitylookup' from its registry

Más detalle

OpenSSF Scorecard 7.5 / 10
7.5agregado

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 · 2026-07-19 02:02 UTC

10Binary-Artifactsno binaries found in the repo
3Branch-Protectionbranch protection is not maximal on development and all release branches
10CI-Tests7 out of 7 merged PRs checked by a CI test -- score normalized to 10
0CII-Best-Practicesno effort to earn an OpenSSF best practices badge detected
3Code-ReviewFound 4/13 approved changesets -- score normalized to 3
10Contributorsproject has 34 contributing companies or organizations
10Dangerous-Workflowno dangerous workflow patterns detected
10Dependency-Update-Toolupdate tool detected
0Fuzzingproject is not fuzzed
10Licenselicense file detected
10Maintained30 commit(s) and 24 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
10SASTSAST tool is run on all commits
10Security-Policysecurity policy file detected
n/dSigned-Releasesno releases found
10Token-PermissionsGitHub workflow tokens follow principle of least privilege
10Vulnerabilities0 existing vulnerabilities detected
Dependencias directas 43
RegistroPaqueteRestricción de versiónManifiesto
PyPIredis(>=7.1.0,<7.2.0)pyproject.toml
PyPIgunicorn(>=23.0.0)pyproject.toml
PyPIflask-restx(>=1.3.2)pyproject.toml
PyPIwerkzeug(>=3.1.5)pyproject.toml
PyPIrequests(>=2.32.5)pyproject.toml
PyPIgitpython(>=3.1.43)pyproject.toml
PyPIbootstrap-flask(>=2.4.0)pyproject.toml
PyPIpyyaml(>=6.0.2)pyproject.toml
PyPIorjson(>=3.10.7)pyproject.toml
PyPIfeedgen(>=1.0.0)pyproject.toml
PyPIsqlalchemy(>=2.0.45)pyproject.toml
PyPIflask-principal(>=0.4.0)pyproject.toml
PyPIflask-login(>=0.6.3)pyproject.toml
PyPIflask-sqlalchemy(>=3.1.1)pyproject.toml
PyPIflask-migrate(>=4.0.7)pyproject.toml
PyPIvalidate-email(>=1.3)pyproject.toml
PyPIflask-wtf(>=1.2.1)pyproject.toml
PyPIwtforms(>=3.1.2)pyproject.toml
PyPIemail-validator(>=2.2.0)pyproject.toml
PyPIflask-paginate(>=2024.4.12)pyproject.toml
PyPIpyotp(>=2.9.0)pyproject.toml
PyPIqrcode(>=7.4.2)pyproject.toml
PyPIpyvariot(>=0.2.0)pyproject.toml
PyPImarkdown(>=3.7)pyproject.toml
PyPIthe-big-username-blacklist(>=1.5.4)pyproject.toml
PyPIcvss(>=3.1)pyproject.toml
PyPIxmltodict(>=0.14.0)pyproject.toml
PyPIfeedparser(>=6.0.11)pyproject.toml
PyPIpycountry(>=24.6.1)pyproject.toml
PyPIpymispwarninglists(>=1.5)pyproject.toml
PyPIbleach(>=6.3.0)pyproject.toml
PyPIsqlalchemy-schemadisplay(>=2.0,<3.0)pyproject.toml
PyPIbeautifulsoup4(>=4.11.2)pyproject.toml
PyPIgcve(>=0.11.0,<1.0.0)pyproject.toml
PyPIpylookyloo(>=1.31.1,<2.0.0)pyproject.toml
PyPIpytz(>=2025.2,<2026.0)pyproject.toml
PyPIflask-limiter(>=4.1.0,<5.0.0)pyproject.toml
PyPIpsycopg(>=3.3.2,<4.0.0)pyproject.toml
PyPImeilisearch(>=0.40.0,<0.41.0)pyproject.toml
PyPIvalkey(>=6.1.1,<7.0.0)pyproject.toml
PyPItomlkit(>=0.14.0,<0.15.0)pyproject.toml
PyPIflask-caching(>=2.3.0)pyproject.toml
PyPIflask-cors(>=6.0.0)pyproject.toml
Todas las dependencias 183

Conjunto completo de dependencias resueltas según el grafo de dependencias de GitHub: 43 paquetes directos y 140 indirectos (transitivos). El cierre transitivo es completo cuando el repositorio incluye un lockfile.

RegistroPaqueteVersiónRelación
PyPIbeautifulsoup44.15.0directa
PyPIbleach6.4.0directa
PyPIbootstrap-flask2.5.0directa
PyPIcvss3.6directa
PyPIemail-validator2.3.0directa
PyPIfeedgen1.0.0directa
PyPIfeedparser6.0.12directa
PyPIflask-caching2.4.1directa
PyPIflask-cors6.0.5directa
PyPIflask-limiter4.1.1directa
PyPIflask-login0.6.3directa
PyPIflask-migrate4.1.0directa
PyPIflask-paginate2024.4.12directa
PyPIflask-principal0.4.0directa
PyPIflask-restx1.3.2directa
PyPIflask-sqlalchemy3.1.1directa
PyPIflask-wtf1.3.0directa
PyPIgcve0.12.1directa
PyPIgitpython3.1.51directa
PyPIgunicorn26.0.0directa
PyPImarkdown3.10.2directa
PyPImeilisearch0.40.0directa
PyPIorjson3.11.9directa
PyPIpsycopg3.3.4directa
PyPIpycountry26.2.16directa
PyPIpylookyloo1.37.0directa
PyPIpymispwarninglists1.7.0directa
PyPIpyotp2.10.0directa
PyPIpytz2025.2directa
PyPIpyvariot0.2.2directa
PyPIpyyaml6.0.3directa
PyPIqrcode8.2directa
PyPIredis7.1.1directa
PyPIrequests2.34.2directa
PyPIsqlalchemy2.0.51directa
PyPIsqlalchemy-schemadisplay2.0directa
PyPIthe-big-username-blacklist1.5.4directa
PyPItomlkit0.14.0directa
PyPIvalidate-email1.3directa
PyPIvalkey6.1.1directa
PyPIwerkzeug3.1.8directa
PyPIwtforms3.2.2directa
PyPIxmltodict1.0.4directa
PyPIaccessible-pygments0.0.5indirecta
PyPIalabaster1.0.0indirecta
PyPIalembic1.18.5indirecta
PyPIaniso860110.0.1indirecta
PyPIannotated-types0.7.0indirecta
PyPIasttokens3.0.2indirecta
PyPIasync-timeout5.0.1indirecta
PyPIattrs26.1.0indirecta
PyPIbabel2.18.0indirecta
PyPIblinker1.9.0indirecta
PyPIcachelib0.14.0indirecta
PyPIcamel-converter5.1.0indirecta
PyPIcertifi2026.6.17indirecta
PyPIcffi2.1.0indirecta
PyPIcfgv3.5.0indirecta
PyPIcharset-normalizer3.4.9indirecta
PyPIclick8.4.2indirecta
PyPIcolorama0.4.6indirecta
PyPIcryptography48.0.1indirecta
PyPIdateparser1.4.1indirecta
PyPIdecorator5.3.1indirecta
PyPIdeepmerge2.1.0indirecta
PyPIdeprecated1.3.1indirecta
PyPIdistlib0.4.3indirecta
PyPIdnspython2.8.0indirecta
PyPIdocutils0.22.4indirecta
PyPIexecuting2.2.1indirecta
PyPIfilelock3.29.7indirecta
PyPIflask3.1.3indirecta
PyPIgevent26.5.0indirecta
PyPIgitdb4.0.12indirecta
PyPIgreenlet3.5.3indirecta
PyPIhiredis3.4.0indirecta
PyPIidentify2.6.19indirecta
PyPIidna3.18indirecta
PyPIimagesize1.5.0indirecta
PyPIimportlib-resources7.1.0indirecta
PyPIiniconfig2.3.0indirecta
PyPIipython8.39.0indirecta
PyPIitsdangerous2.2.0indirecta
PyPIjedi0.20.0indirecta
PyPIjinja23.1.6indirecta
PyPIjsonschema4.26.0indirecta
PyPIjsonschema-specifications2025.9.1indirecta
PyPIlibrt0.13.0indirecta
PyPIlimits5.8.0indirecta
PyPIlookyloo-models0.3.0indirecta
PyPIlxml6.1.1indirecta
PyPImako1.3.12indirecta
PyPImarkdown-it-py4.2.0indirecta
PyPImarkupsafe3.0.3indirecta
PyPImatplotlib-inline0.2.2indirecta
PyPImdit-py-plugins0.6.1indirecta
PyPImdurl0.1.2indirecta
PyPImistune3.3.3indirecta
PyPImypy1.20.2indirecta
PyPImypy-extensions1.1.0indirecta
PyPImyst-parserindirecta
PyPImyst-parser5.1.0indirecta
PyPInodeenv1.10.0indirecta
PyPIordered-set4.1.0indirecta
PyPIpackaging26.2indirecta
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PyPIpathspec1.1.1indirecta
PyPIpexpect4.9.0indirecta
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PyPIplatformdirs4.10.0indirecta
PyPIpluggy1.6.0indirecta
PyPIpre-commit3.8.0indirecta
PyPIprompt-toolkit3.0.52indirecta
PyPIpsycopg-binary3.3.4indirecta
PyPIptyprocess0.7.0indirecta
PyPIpure-eval0.2.3indirecta
PyPIpycparser3.0indirecta
PyPIpydantic2.13.4indirecta
PyPIpydantic-core2.46.4indirecta
PyPIpydata-sphinx-theme0.16.1indirecta
PyPIpydot4.0.1indirecta
PyPIpygments2.20.0indirecta
PyPIpyparsing3.3.2indirecta
PyPIpysocks1.7.1indirecta
PyPIpytest9.1.1indirecta
PyPIpytest-env1.6.0indirecta
PyPIpython-dateutil2.9.0.post0indirecta
PyPIpython-discovery1.4.4indirecta
PyPIpython-dotenv1.2.2indirecta
PyPIpyvulnerabilitylookup2.19.0indirecta
PyPIreferencing0.37.0indirecta
PyPIregex2026.7.10indirecta
PyPIrich14.3.4indirecta
PyPIroman-numerals4.1.0indirecta
PyPIrpds-py2026.6.3indirecta
PyPIsetuptools83.0.0indirecta
PyPIsgmllib3k1.0.0indirecta
PyPIsix1.17.0indirecta
PyPIsmmap5.0.3indirecta
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PyPItypes-openpyxl3.1.5.20260518indirecta
PyPItypes-pyopenssl24.1.0.20240722indirecta
PyPItypes-pyyaml6.0.12.20260518indirecta
PyPItypes-redis4.6.0.20241004indirecta
PyPItypes-requests2.33.0.20260712indirecta
PyPItypes-setuptools83.0.0.20260706indirecta
PyPItypes-xmltodict0.13.0.3indirecta
PyPItyping-extensions4.16.0indirecta
PyPItyping-inspection0.4.2indirecta
PyPItzdata2026.3indirecta
PyPItzlocal5.4.4indirecta
PyPIua-parser1.0.2indirecta
PyPIua-parser-builtins202606indirecta
PyPIua-parser-rs0.1.5indirecta
PyPIurllib32.7.0indirecta
PyPIvirtualenv21.6.1indirecta
PyPIwcwidth0.8.2indirecta
PyPIwebencodings0.5.1indirecta
PyPIwrapt2.2.2indirecta
PyPIzope-event6.2indirecta
PyPIzope-interface8.5indirecta
Informe JSON sin procesar legible por máquina
{
  "data": {
    "repo": {
      "topics": [
        "cvd",
        "cvd-policy",
        "cve",
        "vulnerability-databases",
        "vulnerability-lookup"
      ],
      "is_fork": false,
      "size_kb": 14535,
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      "languages": {
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      },
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                "name": "Maintained",
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                "detail": "SAST tool is run on all commits",
                "points": 5,
                "status": "met",
                "details": [],
                "max_points": 5
              },
              {
                "key": "security_policy",
                "name": "Security-Policy",
                "detail": "security policy file detected",
                "points": 5,
                "status": "met",
                "details": [],
                "max_points": 5
              },
              {
                "key": "signed_releases",
                "name": "Signed-Releases",
                "detail": "no releases found",
                "points": 0,
                "status": "excluded",
                "details": [
                  {
                    "code": "no_data",
                    "params": {}
                  }
                ],
                "max_points": 7.5
              },
              {
                "key": "token_permissions",
                "name": "Token-Permissions",
                "detail": "GitHub workflow tokens follow principle of least privilege",
                "points": 7.5,
                "status": "met",
                "details": [],
                "max_points": 7.5
              },
              {
                "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": "good",
        "name": "AI Readiness",
        "value": 82,
        "weight": 0,
        "metrics": [
          {
            "key": "ai_agent_context",
            "band": "excellent",
            "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": 100,
            "inputs": {
              "has_llms_txt": true,
              "legible_history_share": null,
              "agent_instruction_files": [
                "CLAUDE.md"
              ],
              "agent_instruction_max_bytes": 8119
            },
            "components": [
              {
                "key": "agent_instructions",
                "name": "Agent instructions",
                "detail": "CLAUDE.md",
                "points": 45,
                "status": "met",
                "details": [
                  {
                    "code": "file_list",
                    "params": {
                      "files": "CLAUDE.md"
                    }
                  }
                ],
                "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. Remaining weights renormalized.",
            "notes": [
              {
                "code": "excluded_no_data",
                "params": {
                  "components": [
                    "demonstrated_agent_practice"
                  ]
                }
              },
              {
                "code": "weights_renormalized",
                "params": {}
              }
            ],
            "value": 86,
            "inputs": {
              "has_nix": false,
              "has_tests": true,
              "lockfiles": [
                "poetry.lock"
              ],
              "has_dockerfile": true,
              "typed_language": false,
              "bootstrap_files": [
                "docs/Makefile"
              ],
              "has_devcontainer": false,
              "has_linter_config": true,
              "typecheck_configs": [
                "mypy.ini"
              ],
              "agent_commit_share": null,
              "toolchain_manifests": [],
              "dependency_bot_commit_share": 0
            },
            "components": [
              {
                "key": "one_command_bootstrap",
                "name": "One-command bootstrap",
                "detail": "docs/Makefile",
                "points": 18,
                "status": "met",
                "details": [
                  {
                    "code": "file_list",
                    "params": {
                      "files": "docs/Makefile"
                    }
                  }
                ],
                "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": "mypy.ini",
                "points": 11,
                "status": "met",
                "details": [
                  {
                    "code": "file_list",
                    "params": {
                      "files": "mypy.ini"
                    }
                  }
                ],
                "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": "dependency automation configured, none observed in the sampled commits",
                "points": 5,
                "status": "partial",
                "details": [
                  {
                    "code": "dependency_bot_config_only",
                    "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": 80,
            "inputs": {
              "primary_language": "Python",
              "largest_source_bytes": 527216,
              "source_files_sampled": 423,
              "oversized_source_files": 16
            },
            "components": [
              {
                "key": "type_checkable_code",
                "name": "Type-checkable code",
                "detail": "Python with type-check config (mypy.ini)",
                "points": 27,
                "status": "partial",
                "details": [
                  {
                    "code": "typecheck_config_language",
                    "params": {
                      "files": "mypy.ini",
                      "language": "Python"
                    }
                  }
                ],
                "max_points": 45
              },
              {
                "key": "manageable_file_sizes",
                "name": "Manageable file sizes",
                "detail": "16/423 source files over 60KB",
                "points": 52.9,
                "status": "partial",
                "details": [
                  {
                    "code": "oversized_source_files",
                    "params": {
                      "kb": 60,
                      "sampled": 423,
                      "oversized": 16
                    }
                  }
                ],
                "max_points": 55
              }
            ]
          },
          {
            "key": "ai_interfaces",
            "band": "at_risk",
            "name": "Machine-readable interfaces",
            "note": null,
            "notes": [],
            "value": 40,
            "inputs": {
              "example_dirs": [],
              "has_mcp_signal": false,
              "api_schema_files": [
                "docs/_static/files/swagger.json"
              ]
            },
            "components": [
              {
                "key": "api_schema_openapi_graphql_proto",
                "name": "API schema (OpenAPI/GraphQL/proto)",
                "detail": "docs/_static/files/swagger.json",
                "points": 40,
                "status": "met",
                "details": [
                  {
                    "code": "file_list",
                    "params": {
                      "files": "docs/_static/files/swagger.json"
                    }
                  }
                ],
                "max_points": 40
              },
              {
                "key": "mcp_server",
                "name": "MCP server",
                "detail": null,
                "points": 0,
                "status": "missed",
                "details": [],
                "max_points": 20
              },
              {
                "key": "runnable_examples",
                "name": "Runnable examples",
                "detail": null,
                "points": 0,
                "status": "missed",
                "details": [],
                "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 'vulnerabilitylookup' from its registry"
  ],
  "report_type": "repository",
  "generated_at": "2026-07-19T02:02:53.530767Z",
  "schema_version": "0.14.0",
  "badge_url": "https://raw.githubusercontent.com/inspect-software/badges/main/v1/c/cve-search/vulnerability-lookup.svg",
  "full_name": "cve-search/vulnerability-lookup",
  "license_state": "standard",
  "license_spdx": "AGPL-3.0"
}

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 v0.14.0 — metodología completa · wiki de métricas.

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