Registro público
Informe de salud del softwareesquema 0.25.0 · métricas 1.13.0 · 2026-07-21 23:04 UTC

Nayjest / Gito

An AI-powered GitHub code review tool that uses LLMs to detect high-confidence, high-impact issues—such as security vulnerabilities, bugs, and maintainability concerns.

PythonMIT★ 395 estrellas⑂ 34 forksdesde abr 2025Ver en GitHub ↗

Nayjest/Gito tiene un índice de salud de 69 sobre 100, lo que lo sitúa en la banda Moderado. Su puntuación más alta es Vitality (84/100) y la más baja, Security (43/100). Se actualizó por última vez hace 9 días. Una sola persona concentra la mayor parte del trabajo reciente.

69
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.

69
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

Vitalii StepanenkoCuenta personal
85 seguidores92 repositorios públicosdesde nov 2009@metricinsights

Este repositorio pertenece a una cuenta personal. Un proyecto con un único propietario conlleva más riesgo de continuidad que uno respaldado por una organización.

Ecosistemas de paquetes

Métricas por categoría

Vitalidad

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

84Bueno · 22% del índice global
Cómo se puntúa
28.8/36Recencia de push — último push hace 9 días
22.8/36Cadencia de commits — 33/52 semanas con commits
18/18Volumen de commits — 568 commits en el último año
10/10OpenSSF Scorecard: Maintained — 30 commit(s) and 16 issue activity found in the last 90 days -- score normalized to 10
Datos de entrada utilizados
commits_last_year568
human_commit_share1
days_since_last_push9
active_weeks_last_year33
Cómo se puntúa
27/27Publica versiones — 42 versiones publicadas
36/36Recencia de las versiones — última versión hace 9 días
27/27Cadencia de publicación — una versión cada ~18,6 días
0/10OpenSSF Scorecard: Signed-Releases — Project has not signed or included provenance with any releases.
Datos de entrada utilizados
releases_count42
latest_release_tagv4.4.0
releases_from_tagsno
days_since_latest_release9
mean_days_between_releases18,6

Comunidad y Adopción

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

72Bueno · 18% del índice global
Cómo se puntúa
42.1/60Estrellas — 395 estrellas
12.7/25Forks — 34 forks
4.7/15Observadores — 8 observadores
Datos de entrada utilizados
forks34
stars395
watchers8
growth_stateorganic
growth_factor_pct100
Cómo se puntúa
22.5/22.5README
22.5/22.5Licencia — licencia reconocida (MIT)
18/18Guía CONTRIBUTING
13.5/13.5Código de conducta
0/7.2Plantilla de issues
0/6.3Plantilla de PR
Datos de entrada utilizados
has_readme
has_license
has_contributing
has_issue_templateno
has_code_of_conduct
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?

60Moderado · 24% del índice global
Cómo se puntúa
9/54Factor bus — la mitad de los commits recae en 1 contribuyente(s)
2.7/22.5Distribución de commits — el principal contribuyente firma el 88% de los commits
13.5/13.5Amplitud de contribuyentes — 11 contribuyentes
10/10OpenSSF Scorecard: Contributors — project has 5 contributing companies or organizations
Datos de entrada utilizados
bus_factor1
contributors_sampled11
top_contributor_share0,881
Cómo se puntúa
25.4/46.8Resolución de issues — 54% de issues cerradas
33.6/38.3Aceptación de PR — 143/163 PR decididos fusionados
0/15OpenSSF Scorecard: Code-Review — Found 0/14 approved changesets -- score normalized to 0
Datos de entrada utilizados
merged_prs143
open_issues58
closed_issues69
issue_closed_ratio0,543
closed_unmerged_prs20
Cómo se puntúa
10/30Respaldo de la propiedad — cuenta personal (usuario)
0/20Dominio verificado — no aplicable a cuentas de usuario
13.9/25Alcance del propietario — 85 seguidores de Nayjest
25/25Trayectoria — 92 repos públicos, cuenta de ~16 años
Datos de entrada utilizados
followers85
owner_typeUser
is_verified
owner_loginNayjest
public_repos92
account_age_days6091
Excluidos de la puntuación (sin datos o no aplicable): Dominio verificado. Los pesos restantes se han renormalizado.
Cómo se puntúa
25/25Publicado y resoluble — 1 paquete(s) en pypi
35/35Recencia de publicación — última publicación hace 9 días
20/20Historial de versiones — 35 versiones en el registro
20/20No obsoleto — activo, ni obsoleto ni retirado
Datos de entrada utilizados
packagesgito.bot
ecosystemspypi
any_deprecatedno
min_days_since_publish9

Calidad de Ingeniería

¿Existen unas prácticas mínimas de ingeniería y documentación?

81Bueno · 20% del índice global
Cómo se puntúa
24/24Flujos de trabajo de CI — 8 flujo(s) de trabajo
24/24Pruebas presentes
0/16Configuración de linter
0/9.6Hooks de pre-commit
0/6.4.editorconfig
20/20OpenSSF Scorecard: CI-Tests — 11 out of 11 merged PRs checked by a CI test -- score normalized to 10
Datos de entrada utilizados
has_ci
has_tests
has_editorconfigno
has_linter_configno
has_precommit_configno

Documentación

100Excelente
Cómo se puntúa
30/30README
25/25Directorio de documentación
15/15Sitio de documentación / página del proyecto — http://gito.bot/
10/10Descripción del repositorio
10/10Topics — 20 topics
10/10Wiki
Datos de entrada utilizados
topicsai, code-analysis, code-review, github, github-actions, llm, code-quality, python, code-audit, developer-tools, software-engineering, static-analysis, ai-code-review, ai-code-reviewer, ai-coding, ai-coding-assistant, github-copilot, ai-code-analysis, ai-coding-tools, codereview
has_wiki
homepagehttp://gito.bot/
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?

43En riesgo · 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 — 11 out of 11 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 0/14 approved changesets -- score normalized to 0
2.5/2.5Contributors — project has 5 contributing companies or organizations
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 16 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
4.5/5Security-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
0/7.5Vulnerabilities — 11 existing vulnerabilities detected
Datos de entrada utilizados
sourceopenssf_scorecard
checks_evaluated17
scorecard_versionv5.5.0
checks_inconclusive1
scorecard_aggregate3,7
Excluidos de la puntuación (sin datos o no aplicable): packaging. Los pesos restantes se han renormalizado.
Cómo se puntúa
10.4/35Dependencias directas libres de avisos conocidos — 1 afectados: gitpython 3.1.50 (high 8.8)
0/25Dependencias indirectas libres de avisos conocidos — el conjunto transitivo no es separable de las dependencias de desarrollo y prueba en este alcance
40/40Sin avisos pendientes — ningún aviso lleva público más de 90 días
Datos de entrada utilizados
sourceosv
advisories15
affected_packages5
assessed_packages167
unassessed_packages0
affected_by_severitycritical 1, high 3, moderate 1
direct_affected_packages1
Excluidos de la puntuación (sin datos o no aplicable): Dependencias indirectas libres de avisos conocidos. Los pesos restantes se han renormalizado. Se cotejaron 167 dependencias resueltas con OSV. Este repositorio no publica ningún paquete que el índice resuelva, por lo que se evaluó en su lugar el grafo de dependencias del repositorio. Ese grafo mezcla fijaciones de desarrollo y prueba con las dependencias distribuidas, de modo que solo se puntúan las dependencias declaradas en tiempo de ejecución; los hallazgos transitivos se informan como contexto y quedan excluidos de la puntuación. No se analiza la alcanzabilidad.

Preparación para IA

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

65Moderado · 0% del índice global
Cómo se puntúa
45/45Instrucciones para agentes — AGENTS.md, CLAUDE.md
15/15Documentación legible por máquinas (llms.txt) — llms.txt presente
24.5/40Historial de commits legible — 46 de 100 commits humanos declaran su intención (asunto estructurado o cuerpo explicativo)
Datos de entrada utilizados
has_llms_txt
legible_history_share0,46
agent_instruction_filesAGENTS.md, CLAUDE.md
agent_instruction_max_bytes5575
Cómo se puntúa
18/18Arranque con un solo comando — Makefile
22/22Pruebas automatizadas
0/11Configuración de lint / formato
0/11Verificación estática de tipos
10/10Entorno reproducible — lockfile
4/10Práctica demostrada con agentes — 2 de los últimos 100 commits con autoría o crédito de agente
0/8Mantenimiento automatizado — no se observan actualizaciones automáticas de dependencias
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_dockerfileno
typed_languageno
bootstrap_filesMakefile
has_devcontainerno
has_linter_configno
typecheck_configs
agent_commit_share0,02
toolchain_manifests
dependency_bot_commit_share0
Cómo se puntúa
0/45Código verificable por tipos — Python sin configuración de verificación de tipos
55/55Tamaños de archivo manejables — 0/72 archivos fuente de más de 60 KB
Datos de entrada utilizados
primary_languagePython
largest_source_bytes21.621
source_files_sampled72
oversized_source_files0

Datos clave

395estrellas de GitHub
11contribuidores
568commits en los últimos 12 meses
9días desde el último push
42versiones publicadas
1factor bus
58issues abiertas
PyPIecosistemas de paquetes

Advertencias de recopilación de datos

  • deps.dev does not index pypi:gito.bot@4.4.0; advisories assessed against the repository dependency graph instead

Más detalle

Historial de estrellas y forks 395 ★ / 34 ⇿
395Estrellas
34Forks
40Versiones

Cuándo se añadió cada estrella y fork, recopilado de GitHub y agrupado por día. El crecimiento acumulado se sitúa justo encima de las adiciones diarias que lo componen, de modo que ambos se leen en conjunto: la acumulación orgánica sostenida no se parece en nada a un pico abrupto y efímero. Cuando esa diferencia es medible, se informa como autenticidad del crecimiento.

010020030040039533452025-052025-122026-07
Mayor 3Menor 13Parche 24

Cada punto abarca 2 días.

OpenSSF Scorecard 3.7 / 10
3.7agregado

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 · 2026-07-21 23:04 UTC

10Binary-Artifactsno binaries found in the repo
3Branch-Protectionbranch protection is not maximal on development and all release branches
10CI-Tests11 out of 11 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 0/14 approved changesets -- score normalized to 0
10Contributorsproject has 5 contributing companies or organizations
0Dangerous-Workflowdangerous workflow patterns detected
10Dependency-Update-Toolupdate tool detected
0Fuzzingproject is not fuzzed
10Licenselicense file detected
10Maintained30 commit(s) and 16 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
9Security-Policysecurity policy file detected
0Signed-ReleasesProject has not signed or included provenance with any releases.
0Token-Permissionsdetected GitHub workflow tokens with excessive permissions
0Vulnerabilities11 existing vulnerabilities detected
Dependencias directas 10
RegistroPaqueteRestricción de versiónManifiesto
PyPIai-microcore~6.4.4pyproject.toml
PyPIGitPython^3.1.50pyproject.toml
PyPIunidiff^0.7.5pyproject.toml
PyPIgoogle-genai~2.10.0pyproject.toml
PyPIanthropic>=0.57.1,<1pyproject.toml
PyPItyper>=0.16.0,<0.26pyproject.toml
PyPIghapi~=1.0.8pyproject.toml
PyPIjira^3.10.5pyproject.toml
PyPIpydantic^2.12.5pyproject.toml
PyPIfastcore~=1.11.3pyproject.toml
Todas las dependencias 167

Conjunto completo de dependencias resueltas según el grafo de dependencias de GitHub: 10 paquetes directos y 157 indirectos (transitivos). El cierre transitivo es completo cuando el repositorio incluye un lockfile.

RegistroPaqueteVersiónRelación
PyPIai-microcore6.4.4directa
PyPIanthropic0.112.0directa
PyPIfastcore1.11.5directa
PyPIghapi1.0.11directa
PyPIgitpython3.1.50directa
PyPIgoogle-genai2.10.0directa
PyPIjira3.10.5directa
PyPIpydantic2.12.5directa
PyPItyper0.25.1directa
PyPIunidiff0.7.5directa
PyPIannotated-doc0.0.4indirecta
PyPIannotated-types0.7.0indirecta
PyPIanyio4.14.1indirecta
PyPIastroid4.0.4indirecta
PyPIasync-timeout5.0.1indirecta
PyPIattrs26.1.0indirecta
PyPIauthlib1.7.2indirecta
PyPIbackports-tarfile1.2.0indirecta
PyPIbackports-zstd1.6.0indirecta
PyPIbeartype0.22.9indirecta
PyPIblack26.5.1indirecta
PyPIbuild1.5.0indirecta
PyPIburner-redis0.1.7indirecta
PyPIcachecontrol0.14.4indirecta
PyPIcachetools7.1.4indirecta
PyPIcertifi2026.6.17indirecta
PyPIcffi2.0.0indirecta
PyPIchardet5.2.0indirecta
PyPIcharset-normalizer3.4.7indirecta
PyPIcleo2.1.0indirecta
PyPIclick8.4.2indirecta
PyPIcloudpickle3.1.2indirecta
PyPIcolorama0.4.6indirecta
PyPIcoverage7.14.3indirecta
PyPIcrashtest0.4.1indirecta
PyPIcronsim2.7indirecta
PyPIcryptography49.0.0indirecta
PyPIcyclopts4.19.0indirecta
PyPIdefusedxml0.7.1indirecta
PyPIdill0.4.1indirecta
PyPIdiskcache5.6.3indirecta
PyPIdistlib0.4.3indirecta
PyPIdistro1.9.0indirecta
PyPIdnspython2.8.0indirecta
PyPIdocstring-parser0.16indirecta
PyPIdocutils0.23indirecta
PyPIdulwich1.2.6indirecta
PyPIemail-validator2.3.0indirecta
PyPIexceptiongroup1.3.1indirecta
PyPIfakeredis2.34.1indirecta
PyPIfastjsonschema2.21.2indirecta
PyPIfastmcp2.14.7indirecta
PyPIfilelock3.29.4indirecta
PyPIfindpython0.8.0indirecta
PyPIflake87.3.0indirecta
PyPIflake8-pyproject1.2.4indirecta
PyPIgitdb4.0.12indirecta
PyPIgoogle-auth2.55.1indirecta
PyPIh110.16.0indirecta
PyPIhttpcore1.0.9indirecta
PyPIhttpx0.28.1indirecta
PyPIhttpx-sse0.4.3indirecta
PyPIid1.6.1indirecta
PyPIidna3.18indirecta
PyPIimportlib-metadata9.0.0indirecta
PyPIiniconfig2.3.0indirecta
PyPIinstaller1.0.1indirecta
PyPIisort8.0.1indirecta
PyPIjaraco-classes3.4.0indirecta
PyPIjaraco-context6.1.2indirecta
PyPIjaraco-functools4.5.0indirecta
PyPIjeepney0.9.0indirecta
PyPIjinja23.1.6indirecta
PyPIjiter0.15.0indirecta
PyPIjoserfc1.7.1indirecta
PyPIjsonref1.1.0indirecta
PyPIjsonschema4.26.0indirecta
PyPIjsonschema-path0.5.0indirecta
PyPIjsonschema-specifications2025.9.1indirecta
PyPIkeyring25.7.0indirecta
PyPIlupa2.8indirecta
PyPImarkdown-it-py4.2.0indirecta
PyPImarkupsafe3.0.3indirecta
PyPImccabe0.7.0indirecta
PyPImcp1.28.0indirecta
PyPImdurl0.1.2indirecta
PyPImore-itertools11.1.0indirecta
PyPImsgpack1.2.1indirecta
PyPImypy-extensions1.1.0indirecta
PyPInh30.3.6indirecta
PyPIoauthlib3.3.1indirecta
PyPIopenai2.44.0indirecta
PyPIopenapi-pydantic0.5.1indirecta
PyPIopentelemetry-api1.43.0indirecta
PyPIpackaging26.2indirecta
PyPIpathable0.6.0indirecta
PyPIpathspec1.1.1indirecta
PyPIpathvalidate3.3.1indirecta
PyPIpbs-installer2026.6.10indirecta
PyPIpkginfo1.12.1.2indirecta
PyPIplatformdirs4.10.0indirecta
PyPIpluggy1.6.0indirecta
PyPIpoetry2.4.1indirecta
PyPIpoetry-core2.4.0indirecta
PyPIprometheus-client0.25.0indirecta
PyPIpy-key-value-aio0.3.0indirecta
PyPIpy-key-value-shared0.3.0indirecta
PyPIpyasn10.6.3indirecta
PyPIpyasn1-modules0.4.2indirecta
PyPIpycodestyle2.14.0indirecta
PyPIpycparser3.0indirecta
PyPIpydantic-core2.41.5indirecta
PyPIpydantic-settings2.14.2indirecta
PyPIpydocket0.22.0indirecta
PyPIpyflakes3.4.0indirecta
PyPIpygments2.20.0indirecta
PyPIpyjwt2.13.0indirecta
PyPIpylint4.0.6indirecta
PyPIpyperclip1.11.0indirecta
PyPIpyproject-hooks1.2.0indirecta
PyPIpytest9.1.1indirecta
PyPIpytest-asyncio1.4.0indirecta
PyPIpytest-cov7.1.0indirecta
PyPIpytest-mock3.15.1indirecta
PyPIpython-discovery1.4.2indirecta
PyPIpython-dotenv1.2.2indirecta
PyPIpython-json-logger4.1.0indirecta
PyPIpython-multipart0.0.32indirecta
PyPIpytokens0.4.1indirecta
PyPIpywin32312indirecta
PyPIpywin32-ctypes0.2.3indirecta
PyPIpyyaml6.0.3indirecta
PyPIrapidfuzz3.14.5indirecta
PyPIreadme-renderer45.0indirecta
PyPIredis8.0.1indirecta
PyPIreferencing0.37.0indirecta
PyPIregex2026.5.9indirecta
PyPIrequests2.34.2indirecta
PyPIrequests-oauthlib2.0.0indirecta
PyPIrequests-toolbelt1.0.0indirecta
PyPIrfc39862.0.0indirecta
PyPIrich15.0.0indirecta
PyPIrich-rst2.0.2indirecta
PyPIrpds-py2026.5.1indirecta
PyPIsecretstorage3.5.0indirecta
PyPIshellingham1.5.4indirecta
PyPIsmmap5.0.3indirecta
PyPIsniffio1.3.1indirecta
PyPIsortedcontainers2.4.0indirecta
PyPIsse-starlette3.4.5indirecta
PyPIstarlette1.3.1indirecta
PyPItenacity9.1.4indirecta
PyPItiktoken0.13.0indirecta
PyPItomlkit0.15.0indirecta
PyPItqdm4.68.3indirecta
PyPItrove-classifiers2026.6.1.19indirecta
PyPItwine6.2.0indirecta
PyPItyping-extensions4.15.0indirecta
PyPItyping-inspection0.4.2indirecta
PyPItzdata2026.2indirecta
PyPIuncalled-for0.3.2indirecta
PyPIurllib32.7.0indirecta
PyPIuvicorn0.49.0indirecta
PyPIvirtualenv21.5.1indirecta
PyPIwebsockets16.0indirecta
PyPIxattr1.3.0indirecta
PyPIzipp4.1.0indirecta
Avisos de dependencias 5

Este repositorio no publica ningún paquete que el índice resuelva, así que se evaluó su propio grafo de dependencias — 167 paquetes, que incluyen también fijaciones de desarrollo y prueba que nunca se distribuyen: 5 tienen avisos conocidos, de los cuales 1 son directas.

PaqueteVersiónRelaciónGravedadAvisosCorregido en
fastmcp2.14.7indirectacrítica63.2.0
gitpython3.1.50directaalta43.1.52
mcp1.28.0indirectaalta11.28.1
pyasn10.6.3indirectaalta20.6.4
diskcache5.6.3indirectamoderada2

Un aviso significa que la versión registrada en el grafo de dependencias cae dentro del rango afectado de un aviso. No se analiza la alcanzabilidad, y el grafo incluye fijaciones de desarrollo y prueba: un hallazgo puede referirse al utillaje y no al software distribuido.

Informe JSON sin procesar legible por máquina
{
  "data": {
    "repo": {
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      "homepage": "http://gito.bot/",
      "languages": {
        "Jinja": 11140,
        "Python": 228462,
        "Makefile": 1112,
        "Inno Setup": 3716
      },
      "pushed_at": "2026-07-12T19:33:41Z",
      "created_at": "2025-04-30T10:49:12Z",
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                "points": 2.5,
                "status": "met",
                "details": [],
                "max_points": 2.5
              },
              {
                "key": "dangerous_workflow",
                "name": "Dangerous-Workflow",
                "detail": "dangerous workflow patterns detected",
                "points": 0,
                "status": "missed",
                "details": [],
                "max_points": 10
              },
              {
                "key": "dependency_update_tool",
                "name": "Dependency-Update-Tool",
                "detail": "update tool detected",
                "points": 7.5,
                "status": "met",
                "details": [],
                "max_points": 7.5
              },
              {
                "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": "30 commit(s) and 16 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": 4.5,
                "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": "11 existing vulnerabilities detected",
                "points": 0,
                "status": "missed",
                "details": [],
                "max_points": 7.5
              }
            ]
          },
          {
            "key": "dependency_advisories",
            "band": "moderate",
            "name": "Dependency advisories",
            "note": "Excluded from scoring (no data or not applicable): Indirect dependencies free of known advisories. Remaining weights renormalized. Matched 167 resolved dependencies against OSV. This repository publishes no package the index resolves, so the repository dependency graph was assessed instead. That graph mixes development and test pins with shipped dependencies, so only the declared runtime dependencies are scored; transitive findings are reported as context and excluded from the score. Reachability is not analyzed.",
            "notes": [
              {
                "code": "excluded_no_data",
                "params": {
                  "components": [
                    "indirect_dependencies_free_of_known_advisories"
                  ]
                }
              },
              {
                "code": "weights_renormalized",
                "params": {}
              },
              {
                "code": "advisories_scope_repository",
                "params": {
                  "assessed": 167
                }
              },
              {
                "code": "advisories_repo_graph_caveat",
                "params": {}
              },
              {
                "code": "advisories_reachability",
                "params": {}
              }
            ],
            "value": 67,
            "inputs": {
              "source": "osv",
              "advisories": 15,
              "affected_packages": 5,
              "assessed_packages": 167,
              "unassessed_packages": 0,
              "affected_by_severity": "critical 1, high 3, moderate 1",
              "direct_affected_packages": 1
            },
            "components": [
              {
                "key": "direct_dependencies_free_of_known_advisories",
                "name": "Direct dependencies free of known advisories",
                "detail": "1 affected: gitpython 3.1.50 (high 8.8)",
                "points": 10.4,
                "status": "partial",
                "details": [
                  {
                    "code": "advisories_affected",
                    "params": {
                      "count": 1,
                      "packages": "gitpython 3.1.50 (high 8.8)"
                    }
                  }
                ],
                "max_points": 35
              },
              {
                "key": "indirect_dependencies_free_of_known_advisories",
                "name": "Indirect dependencies free of known advisories",
                "detail": "transitive set not separable from development and test dependencies in this scope",
                "points": 0,
                "status": "excluded",
                "details": [
                  {
                    "code": "advisories_scope_not_separable",
                    "params": {}
                  }
                ],
                "max_points": 25
              },
              {
                "key": "no_advisories_left_outstanding",
                "name": "No advisories left outstanding",
                "detail": "no advisory has been public longer than 90 days",
                "points": 40,
                "status": "met",
                "details": [
                  {
                    "code": "advisories_none_stale",
                    "params": {
                      "days": 90
                    }
                  }
                ],
                "max_points": 40
              }
            ]
          },
          {
            "key": "malicious_dependencies",
            "band": "excellent",
            "name": "Malicious dependencies",
            "note": null,
            "notes": [],
            "value": 100,
            "inputs": {
              "source": "osv",
              "meaning": "reported as a malicious package by the OpenSSF corpus; the remedy is removal or moving off the compromised name, never an upgrade of the same artifact. Versions the registry has since pulled are listed but not scored",
              "packages": [],
              "red_flag": false,
              "assessed_packages": 167,
              "malicious_packages": 0,
              "direct_malicious_packages": 0,
              "withdrawn_malicious_packages": 0,
              "installable_malicious_packages": 0
            },
            "components": [
              {
                "key": "no_dependency_reported_as_a_malicious_package",
                "name": "No dependency reported as a malicious package",
                "detail": "no dependency is reported as a malicious package",
                "points": 100,
                "status": "met",
                "details": [
                  {
                    "code": "no_malicious_dependencies",
                    "params": {}
                  }
                ],
                "max_points": 100
              }
            ]
          },
          {
            "key": "high_risk_jurisdiction_exposure",
            "band": "excellent",
            "name": "High-Risk Jurisdiction Exposure",
            "note": "Only high-confidence self-published location evidence affects this multiplier. Ambiguous matches are review-only; country evidence is not proof of nationality, citizenship, legal registration, malicious intent, or sanctions status.",
            "notes": [
              {
                "code": "jurisdiction_evidence_limits",
                "params": {}
              }
            ],
            "value": 100,
            "inputs": {
              "meaning": "self-published location evidence; not nationality or citizenship",
              "red_flag": false,
              "exposures": [],
              "policy_countries": [
                "Russia",
                "Iran",
                "North Korea"
              ],
              "review_only_matches": 0,
              "assessed_self_published_locations": 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": 65,
        "weight": 0,
        "metrics": [
          {
            "key": "ai_agent_context",
            "band": "good",
            "name": "Agent context & guidance",
            "note": null,
            "notes": [],
            "value": 84,
            "inputs": {
              "has_llms_txt": true,
              "legible_history_share": 0.46,
              "agent_instruction_files": [
                "AGENTS.md",
                "CLAUDE.md"
              ],
              "agent_instruction_max_bytes": 5575
            },
            "components": [
              {
                "key": "agent_instructions",
                "name": "Agent instructions",
                "detail": "AGENTS.md, CLAUDE.md",
                "points": 45,
                "status": "met",
                "details": [
                  {
                    "code": "file_list",
                    "params": {
                      "files": "AGENTS.md, 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": "46 of 100 human commits state their intent (structured subject or explanatory body)",
                "points": 24.5,
                "status": "partial",
                "details": [
                  {
                    "code": "legible_history",
                    "params": {
                      "legible": 46,
                      "sampled": 100
                    }
                  }
                ],
                "max_points": 40
              }
            ]
          },
          {
            "key": "ai_verify_loop",
            "band": "moderate",
            "name": "Verify loop (build / test / typecheck)",
            "note": null,
            "notes": [],
            "value": 54,
            "inputs": {
              "has_nix": false,
              "has_tests": true,
              "lockfiles": [
                "poetry.lock"
              ],
              "has_dockerfile": false,
              "typed_language": false,
              "bootstrap_files": [
                "Makefile"
              ],
              "has_devcontainer": false,
              "has_linter_config": false,
              "typecheck_configs": [],
              "agent_commit_share": 0.02,
              "toolchain_manifests": [],
              "dependency_bot_commit_share": 0
            },
            "components": [
              {
                "key": "one_command_bootstrap",
                "name": "One-command bootstrap",
                "detail": "Makefile",
                "points": 18,
                "status": "met",
                "details": [
                  {
                    "code": "file_list",
                    "params": {
                      "files": "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": 0,
                "status": "missed",
                "details": [],
                "max_points": 11
              },
              {
                "key": "static_type_checking",
                "name": "Static type checking",
                "detail": null,
                "points": 0,
                "status": "missed",
                "details": [],
                "max_points": 11
              },
              {
                "key": "reproducible_environment",
                "name": "Reproducible environment",
                "detail": "lockfile",
                "points": 10,
                "status": "met",
                "details": [
                  {
                    "code": "file_list",
                    "params": {
                      "files": "lockfile"
                    }
                  }
                ],
                "max_points": 10
              },
              {
                "key": "demonstrated_agent_practice",
                "name": "Demonstrated agent practice",
                "detail": "2 of the last 100 commits agent-authored or agent-credited",
                "points": 4,
                "status": "partial",
                "details": [
                  {
                    "code": "agent_authored_commits",
                    "params": {
                      "count": 2,
                      "sampled": 100
                    }
                  }
                ],
                "max_points": 10
              },
              {
                "key": "automated_maintenance",
                "name": "Automated maintenance",
                "detail": "no automated dependency updates observed",
                "points": 0,
                "status": "missed",
                "details": [
                  {
                    "code": "no_dependency_automation",
                    "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": "moderate",
            "name": "Code legibility for models",
            "note": null,
            "notes": [],
            "value": 55,
            "inputs": {
              "primary_language": "Python",
              "largest_source_bytes": 21621,
              "source_files_sampled": 72,
              "oversized_source_files": 0
            },
            "components": [
              {
                "key": "type_checkable_code",
                "name": "Type-checkable code",
                "detail": "Python without a type-check config",
                "points": 0,
                "status": "missed",
                "details": [
                  {
                    "code": "no_typecheck_config_language",
                    "params": {
                      "language": "Python"
                    }
                  }
                ],
                "max_points": 45
              },
              {
                "key": "manageable_file_sizes",
                "name": "Manageable file sizes",
                "detail": "0/72 source files over 60KB",
                "points": 55,
                "status": "met",
                "details": [
                  {
                    "code": "oversized_source_files",
                    "params": {
                      "kb": 60,
                      "sampled": 72,
                      "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": [
    "deps.dev does not index pypi:gito.bot@4.4.0; advisories assessed against the repository dependency graph instead"
  ],
  "report_type": "repository",
  "generated_at": "2026-07-21T23:04:40.431346Z",
  "schema_version": "0.25.0",
  "badge_url": "https://raw.githubusercontent.com/inspect-software/badges/main/v1/n/Nayjest/Gito.svg",
  "full_name": "Nayjest/Gito",
  "license_state": "standard",
  "license_spdx": "MIT"
}

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 v0.25.0 — metodología completa · wiki de métricas.

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