Registro público
Informe de salud del softwareesquema 0.11.0 · métricas 1.13.0 · 2026-07-16 00:59 UTC

arcforgelabs / dictate

Desktop dictation that types into the focused app. Configurable push-to-talk, local/API transcription, tray settings, and recent history.

Python · JavaScriptMIT★ 0 estrellas⑂ 1 forkdesde feb 2026Ver en GitHub ↗

arcforgelabs/dictate tiene un índice de salud de 59 sobre 100, lo que lo sitúa en la banda Moderado. Su puntuación más alta es Vitality (80/100) y la más baja, AI Readiness (32/100). Se actualizó por última vez hace 1 día. Una sola persona concentra la mayor parte del trabajo reciente.

59
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.

59
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

Arc ForgeOrganización
1 seguidor2 repositorios públicosdesde may 2026

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

Ecosistemas de paquetes

RegistroPaqueteVersiónDescargas / mesVersionesÚltima publicación
npm@arcforgelabs/dictate2026.7.4816156hace 11 días
PyPIdictate0.2.0723hace 3381 días

Métricas por categoría

Vitalidad

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

80Bueno · 22% del índice global
Cómo se puntúa
36/36Recencia de push — último push hace 1 días
9/36Cadencia de commits — 13/52 semanas con commits
18/18Volumen de commits — 441 commits en el último año
10/10OpenSSF Scorecard: Maintained — 30 commit(s) and 6 issue activity found in the last 90 days -- score normalized to 10
Datos de entrada utilizados
commits_last_year441
human_commit_share
days_since_last_push1
active_weeks_last_year13
Cómo se puntúa
27/27Publica versiones — 20 versiones publicadas
36/36Recencia de las versiones — última versión hace 1 días
27/27Cadencia de publicación — una versión cada ~1,3 días
0/10OpenSSF Scorecard: Signed-Releases — Project has not signed or included provenance with any releases.
Datos de entrada utilizados
releases_count20
latest_release_tagv2026.7.4-unstable.67.1
releases_from_tagsno
days_since_latest_release1
mean_days_between_releases1,3

Comunidad y Adopción

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

44En riesgo · 18% del índice global
Cómo se puntúa
0/60Estrellas — 0 estrellas
0/25Forks — 1 forks
0/15Observadores — 0 observadores
Datos de entrada utilizados
forks1
stars0
watchers0
growth_stateunverified
growth_factor_pct100
growth_unverified_reasonno_history
Cómo se puntúa
22.5/22.5README
22.5/22.5Licencia — licencia reconocida (MIT)
18/18Guía CONTRIBUTING
0/13.5Código 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_conductno
has_pull_request_template
Cómo se puntúa
52.2/80Descargas mensuales — 8233 descargas/mes en npm, pypi
0/20Dependientes en el registro — no lo informa este ecosistema
Datos de entrada utilizados
packages@arcforgelabs/dictate, dictate
dependents
ecosystemsnpm, pypi
total_downloads
monthly_downloads8233
Excluidos de la puntuación (sin datos o no aplicable): Dependientes en el registro. Los pesos restantes se han renormalizado.

Sostenibilidad y Gobernanza

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

48En riesgo · 24% del índice global
Cómo se puntúa
9/54Factor bus — la mitad de los commits recae en 1 contribuyente(s)
0.2/22.5Distribución de commits — el principal contribuyente firma el 99% de los commits
4.1/13.5Amplitud de contribuyentes — 3 contribuyentes
3/10OpenSSF Scorecard: Contributors — project has 1 contributing companies or organizations -- score normalized to 3
Datos de entrada utilizados
bus_factor1
contributors_sampled3
top_contributor_share0,989
Cómo se puntúa
31.2/46.8Resolución de issues — 67% de issues cerradas
26.3/38.3Aceptación de PR — 11/16 PR decididos fusionados
0/15OpenSSF Scorecard: Code-Review — Found 0/27 approved changesets -- score normalized to 0
Datos de entrada utilizados
merged_prs11
open_issues2
closed_issues4
issue_closed_ratio0,667
closed_unmerged_prs5
Cómo se puntúa
30/30Respaldo de la propiedad — propiedad de una organización
0/20Dominio verificado
2.2/25Alcance del propietario — 1 seguidores de arcforgelabs
3.8/25Trayectoria — 2 repos públicos, cuenta de ~0 años
Datos de entrada utilizados
followers1
owner_typeOrganization
is_verified
owner_loginarcforgelabs
public_repos2
account_age_days67
Cómo se puntúa
25/25Publicado y resoluble — 2 paquete(s) en npm, pypi
35/35Recencia de publicación — última publicación hace 11 días
20/20Historial de versiones — 56 versiones en el registro
20/20No obsoleto — activo, ni obsoleto ni retirado
Datos de entrada utilizados
packages@arcforgelabs/dictate, dictate
ecosystemsnpm, pypi
any_deprecatedno
min_days_since_publish11

Calidad de Ingeniería

¿Existen unas prácticas mínimas de ingeniería y documentación?

71Bueno · 20% del índice global
Cómo se puntúa
24/24Flujos de trabajo de CI — 11 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 — 5 out of 5 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
Cómo se puntúa
30/30README
25/25Directorio de documentación
0/15Sitio de documentación / página del proyecto
10/10Descripción del repositorio
10/10Topics — 9 topics
0/10Wiki
Datos de entrada utilizados
topicsdesktop-app, dictation, linux, push-to-talk, python, speech-to-text, transcription, whisper, windows
has_wikino
homepage
has_readme
has_docs_dir
has_description

Seguridad

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

50Moderado · 16% del índice global
Cómo se puntúa
7.5/7.5Binary-Artifacts — no binaries found in the repo
3.8/7.5Branch-Protection — branch protection is not maximal on development and all release branches
2.5/2.5CI-Tests — 5 out of 5 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 0/27 approved changesets -- score normalized to 0
0.8/2.5Contributors — project has 1 contributing companies or organizations -- score normalized to 3
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 6 issue activity found in the last 90 days -- score normalized to 10
5/5Packaging — packaging workflow detected
3.5/5Pinned-Dependencies — dependency not pinned by hash detected -- score normalized to 7
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
0/7.5Vulnerabilities — 30 existing vulnerabilities detected
Datos de entrada utilizados
sourceopenssf_scorecard
checks_evaluated18
scorecard_versionv5.5.0
checks_inconclusive0
scorecard_aggregate5

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.

32En 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
0/11Configuración de lint / formato
0/11Verificación estática de tipos
10/10Entorno reproducible — lockfile
0/10Práctica demostrada con agentes — sin datos
0/8Mantenimiento automatizado — sin datos
7/10OpenSSF Scorecard: Pinned-Dependencies — dependency not pinned by hash detected -- score normalized to 7
Datos de entrada utilizados
has_nixno
has_tests
lockfilespackage-lock.json, uv.lock
has_dockerfileno
typed_languageno
bootstrap_files
has_devcontainerno
has_linter_configno
typecheck_configs
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
0/45Código verificable por tipos — Python sin configuración de verificación de tipos
53/55Tamaños de archivo manejables — 7/188 archivos fuente de más de 60 KB
Datos de entrada utilizados
primary_languagePython
largest_source_bytes114.176
source_files_sampled188
oversized_source_files7

Datos clave

0estrellas de GitHub
3contribuidores
441commits en los últimos 12 meses
1días desde el último push
20versiones publicadas
1factor bus
2issues abiertas
npm, PyPIecosistemas de paquetes

Más detalle

OpenSSF Scorecard 5.0 / 10
5.0agregado

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 · 2026-07-16 00:58 UTC

10Binary-Artifactsno binaries found in the repo
5Branch-Protectionbranch protection is not maximal on development and all release branches
10CI-Tests5 out of 5 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 0/27 approved changesets -- score normalized to 0
3Contributorsproject has 1 contributing companies or organizations -- score normalized to 3
10Dangerous-Workflowno dangerous workflow patterns detected
10Dependency-Update-Toolupdate tool detected
0Fuzzingproject is not fuzzed
10Licenselicense file detected
10Maintained30 commit(s) and 6 issue activity found in the last 90 days -- score normalized to 10
10Packagingpackaging workflow detected
7Pinned-Dependenciesdependency not pinned by hash detected -- score normalized to 7
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
0Vulnerabilities30 existing vulnerabilities detected
Dependencias directas 10
RegistroPaqueteRestricción de versiónManifiesto
PyPIfaster-whisper>=1.1.0pyproject.toml
PyPInumpy>=1.26.0pyproject.toml
PyPIPyYAML>=6.0.0pyproject.toml
PyPIcryptography>=42.0.0pyproject.toml
PyPIsounddevice>=0.5.0pyproject.toml
PyPIwebrtc-noise-gain>=1.3.0pyproject.toml
PyPIonnx-asr>=0.11.0pyproject.toml
PyPIonnxruntime>=1.19,<1.24pyproject.toml
npmreact^18.3.1ui/package.json
npmreact-dom^18.3.1ui/package.json
Todas las dependencias 439

Conjunto completo de dependencias resueltas según el grafo de dependencias de GitHub: 14 paquetes directos y 425 indirectos (transitivos). El cierre transitivo es completo cuando el repositorio incluye un lockfile.

RegistroPaqueteVersiónRelación
npmreact18.3.1directa
npmreact-dom18.3.1directa
PyPIcryptography49.0.0directa
PyPIfaster-whisperdirecta
PyPIfaster-whisper1.2.1directa
PyPInumpydirecta
PyPInumpy2.4.6directa
PyPIonnx-asr0.11.0directa
PyPIonnxruntime1.23.2directa
PyPIpyyamldirecta
PyPIpyyaml6.0.3directa
PyPIsounddevicedirecta
PyPIsounddevice0.5.5directa
PyPIwebrtc-noise-gain1.3.0directa
crates.ioserdeindirecta
crates.ioserde_jsonindirecta
crates.iotauriindirecta
crates.iotauri-buildindirecta
crates.iotauri-plugin-dialogindirecta
crates.iotauri-plugin-osindirecta
crates.iotauri-plugin-single-instanceindirecta
npm@adobe/css-tools4.5.0indirecta
npm@asamuzakjp/css-color3.2.0indirecta
npm@babel/code-frame7.29.7indirecta
npm@babel/helper-validator-identifier7.29.7indirecta
npm@babel/runtime7.29.7indirecta
npm@csstools/color-helpers5.1.0indirecta
npm@csstools/css-calc2.1.4indirecta
npm@csstools/css-color-parser3.1.0indirecta
npm@csstools/css-parser-algorithms3.0.5indirecta
npm@csstools/css-tokenizer3.0.4indirecta
npm@emnapi/core1.10.0indirecta
npm@emnapi/runtime1.10.0indirecta
npm@emnapi/wasi-threads1.2.1indirecta
npm@jridgewell/sourcemap-codec1.5.5indirecta
npm@napi-rs/wasm-runtime1.1.4indirecta
npm@oxc-project/types0.133.0indirecta
npm@rolldown/binding-android-arm641.0.3indirecta
npm@rolldown/binding-darwin-arm641.0.3indirecta
npm@rolldown/binding-darwin-x641.0.3indirecta
npm@rolldown/binding-freebsd-x641.0.3indirecta
npm@rolldown/binding-linux-arm-gnueabihf1.0.3indirecta
npm@rolldown/binding-linux-arm64-gnu1.0.3indirecta
npm@rolldown/binding-linux-arm64-musl1.0.3indirecta
npm@rolldown/binding-linux-ppc64-gnu1.0.3indirecta
npm@rolldown/binding-linux-s390x-gnu1.0.3indirecta
npm@rolldown/binding-linux-x64-gnu1.0.3indirecta
npm@rolldown/binding-linux-x64-musl1.0.3indirecta
npm@rolldown/binding-openharmony-arm641.0.3indirecta
npm@rolldown/binding-wasm32-wasi1.0.3indirecta
npm@rolldown/binding-win32-arm64-msvc1.0.3indirecta
npm@rolldown/binding-win32-x64-msvc1.0.3indirecta
npm@rolldown/pluginutils1.0.1indirecta
npm@standard-schema/spec1.1.0indirecta
npm@tauri-apps/cli2.11.3indirecta
npm@tauri-apps/cli-darwin-arm642.11.3indirecta
npm@tauri-apps/cli-darwin-x642.11.3indirecta
npm@tauri-apps/cli-linux-arm-gnueabihf2.11.3indirecta
npm@tauri-apps/cli-linux-arm64-gnu2.11.3indirecta
npm@tauri-apps/cli-linux-arm64-musl2.11.3indirecta
npm@tauri-apps/cli-linux-riscv64-gnu2.11.3indirecta
npm@tauri-apps/cli-linux-x64-gnu2.11.3indirecta
npm@tauri-apps/cli-linux-x64-musl2.11.3indirecta
npm@tauri-apps/cli-win32-arm64-msvc2.11.3indirecta
npm@tauri-apps/cli-win32-ia32-msvc2.11.3indirecta
npm@tauri-apps/cli-win32-x64-msvc2.11.3indirecta
npm@testing-library/dom10.4.1indirecta
npm@testing-library/jest-dom6.9.1indirecta
npm@testing-library/react16.3.2indirecta
npm@tybys/wasm-util0.10.2indirecta
npm@types/aria-query5.0.4indirecta
npm@types/chai5.2.3indirecta
npm@types/deep-eql4.0.2indirecta
npm@types/estree1.0.9indirecta
npm@vitejs/plugin-react6.0.2indirecta
npm@vitest/expect4.1.8indirecta
npm@vitest/mocker4.1.8indirecta
npm@vitest/pretty-format4.1.8indirecta
npm@vitest/runner4.1.8indirecta
npm@vitest/snapshot4.1.8indirecta
npm@vitest/spy4.1.8indirecta
npm@vitest/utils4.1.8indirecta
npmagent-base7.1.4indirecta
npmansi-regex5.0.1indirecta
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npmchai6.2.2indirecta
npmcombined-stream1.0.8indirecta
npmconvert-source-map2.0.0indirecta
npmcss.escape1.5.1indirecta
npmcssstyle4.6.0indirecta
npmdata-urls5.0.0indirecta
npmdebug4.4.3indirecta
npmdecimal.js10.6.0indirecta
npmdelayed-stream1.0.0indirecta
npmdequal2.0.3indirecta
npmdetect-libc2.1.2indirecta
npmdom-accessibility-api0.5.16indirecta
npmdom-accessibility-api0.6.3indirecta
npmdunder-proto1.0.1indirecta
npmentities6.0.1indirecta
npmes-define-property1.0.1indirecta
npmes-errors1.3.0indirecta
npmes-module-lexer2.1.0indirecta
npmes-object-atoms1.1.2indirecta
npmes-set-tostringtag2.1.0indirecta
npmestree-walker3.0.3indirecta
npmexpect-type1.3.0indirecta
npmfdir6.5.0indirecta
npmform-data4.0.6indirecta
npmfsevents2.3.3indirecta
npmfunction-bind1.1.2indirecta
npmget-intrinsic1.3.0indirecta
npmget-proto1.0.1indirecta
npmgopd1.2.0indirecta
npmhas-symbols1.1.0indirecta
npmhas-tostringtag1.0.2indirecta
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npmlightningcss-linux-x64-gnu1.32.0indirecta
npmlightningcss-linux-x64-musl1.32.0indirecta
npmlightningcss-win32-arm64-msvc1.32.0indirecta
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npmloose-envify1.4.0indirecta
npmlru-cache10.4.3indirecta
npmlz-string1.5.0indirecta
npmmagic-string0.30.21indirecta
npmmath-intrinsics1.1.0indirecta
npmmime-db1.52.0indirecta
npmmime-types2.1.35indirecta
npmmin-indent1.0.1indirecta
npmms2.1.3indirecta
npmnanoid3.3.12indirecta
npmnwsapi2.2.23indirecta
npmobug2.1.1indirecta
npmparse57.3.0indirecta
npmpathe2.0.3indirecta
npmpicocolors1.1.1indirecta
npmpicomatch4.0.4indirecta
npmpostcss8.5.15indirecta
npmpretty-format27.5.1indirecta
npmpunycode2.3.1indirecta
npmreact-is17.0.2indirecta
npmredent3.0.0indirecta
npmrolldown1.0.3indirecta
npmrrweb-cssom0.7.1indirecta
npmrrweb-cssom0.8.0indirecta
npmsafer-buffer2.1.2indirecta
npmsaxes6.0.0indirecta
npmscheduler0.23.2indirecta
npmsiginfo2.0.0indirecta
npmsource-map-js1.2.1indirecta
npmstackback0.0.2indirecta
npmstd-env4.1.0indirecta
npmstrip-indent3.0.0indirecta
npmsymbol-tree3.2.4indirecta
npmtinybench2.9.0indirecta
npmtinyexec1.2.4indirecta
npmtinyglobby0.2.17indirecta
npmtinyrainbow3.1.0indirecta
npmtldts6.1.86indirecta
npmtldts-core6.1.86indirecta
npmtough-cookie5.1.2indirecta
npmtr465.1.1indirecta
npmtslib2.8.1indirecta
npmvite8.0.16indirecta
npmvitest4.1.8indirecta
npmw3c-xmlserializer5.0.0indirecta
npmwebidl-conversions7.0.0indirecta
npmwhatwg-encoding3.1.1indirecta
npmwhatwg-mimetype4.0.0indirecta
npmwhatwg-url14.2.0indirecta
npmwhy-is-node-running2.3.0indirecta
npmws8.21.0indirecta
npmxml-name-validator5.0.0indirecta
npmxmlchars2.2.0indirecta
PyPIabsl-py2.5.0indirecta
PyPIaccelerate1.14.0indirecta
PyPIaiohappyeyeballs2.6.2indirecta
PyPIaiohttp3.14.1indirecta
PyPIaiosignal1.4.0indirecta
PyPIalembic1.18.4indirecta
PyPIannotated-types0.7.0indirecta
PyPIantlr4-python3-runtime4.9.3indirecta
PyPIanyio4.14.1indirecta
PyPIasteroid-filterbanks0.4.0indirecta
PyPIasttokens3.0.1indirecta
PyPIattrs26.1.0indirecta
PyPIaudioread3.1.0indirecta
PyPIav17.1.0indirecta
PyPIbraceexpand0.1.7indirecta
PyPIcairocffi1.7.1indirecta
PyPIcairosvg2.9.0indirecta
PyPIcertifi2026.6.17indirecta
PyPIcffi2.0.0indirecta
PyPIcharset-normalizer3.4.7indirecta
PyPIclick8.4.1indirecta
PyPIcloudpickle3.1.2indirecta
PyPIcolorama0.4.6indirecta
PyPIcoloredlogs15.0.1indirecta
PyPIcolorlog6.10.1indirecta
PyPIcontourpy1.3.3indirecta
PyPIcssselect20.9.0indirecta
PyPIctranslate24.8.0indirecta
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                "key": "pr_acceptance",
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          {
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        ],
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                "key": "ci_workflows",
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            ]
          }
        ],
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                "key": "cii_best_practices",
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                "key": "code_review",
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                "key": "contributors",
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              },
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              },
              {
                "key": "dependency_update_tool",
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              },
              {
                "key": "fuzzing",
                "name": "Fuzzing",
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              },
              {
                "key": "license",
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              },
              {
                "key": "maintained",
                "name": "Maintained",
                "detail": "30 commit(s) and 6 issue activity found in the last 90 days -- score normalized to 10",
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                "status": "met",
                "details": [],
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              },
              {
                "key": "packaging",
                "name": "Packaging",
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                "details": [],
                "max_points": 5
              },
              {
                "key": "pinned_dependencies",
                "name": "Pinned-Dependencies",
                "detail": "dependency not pinned by hash detected -- score normalized to 7",
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              },
              {
                "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": "30 existing vulnerabilities detected",
                "points": 0,
                "status": "missed",
                "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": 32,
        "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": "at_risk",
            "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": 48,
            "inputs": {
              "has_nix": false,
              "has_tests": true,
              "lockfiles": [
                "package-lock.json",
                "uv.lock"
              ],
              "has_dockerfile": false,
              "typed_language": false,
              "bootstrap_files": [],
              "has_devcontainer": false,
              "has_linter_config": false,
              "typecheck_configs": [],
              "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": 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": "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 7",
                "points": 7,
                "status": "partial",
                "details": [],
                "max_points": 10
              }
            ]
          },
          {
            "key": "ai_code_legibility",
            "band": "moderate",
            "name": "Code legibility for models",
            "note": null,
            "notes": [],
            "value": 53,
            "inputs": {
              "primary_language": "Python",
              "largest_source_bytes": 114176,
              "source_files_sampled": 188,
              "oversized_source_files": 7
            },
            "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": "7/188 source files over 60KB",
                "points": 53,
                "status": "partial",
                "details": [
                  {
                    "code": "oversized_source_files",
                    "params": {
                      "kb": 60,
                      "sampled": 188,
                      "oversized": 7
                    }
                  }
                ],
                "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": [],
  "report_type": "repository",
  "generated_at": "2026-07-16T00:59:07.741132Z",
  "schema_version": "0.11.0",
  "badge_url": "https://raw.githubusercontent.com/inspect-software/badges/main/v1/a/arcforgelabs/dictate.svg",
  "full_name": "arcforgelabs/dictate",
  "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 v0.11.0 — metodología completa · wiki de métricas.

Cómo se sitúa un resultado dentro del registro general: estadísticas agregadasnpm, PyPI.