Registro público
Informe de salud del softwareesquema 0.14.0 · métricas 1.13.0 · 2026-07-19 08:00 UTC

dfrostar / neuralmind

Persistent memory for AI coding agents. Your agent learns your codebase the way a senior engineer would — what files go together, what you usually edit next. Works with Claude Code, Cursor, Cline, Continue. 100% local. (Side effect: 40-70× cheaper code questions.)

PythonMIT★ 19 estrellas⑂ 0 forksdesde abr 2026Ver en GitHub ↗

dfrostar/neuralmind tiene un índice de salud de 66 sobre 100, lo que lo sitúa en la banda Moderado. Su puntuación más alta es Engineering Quality (81/100) y la más baja, Community & Adoption (50/100). Se actualizó por última vez hoy. 2 personas concentran la mayor parte del trabajo reciente.

66
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.

66
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

dfrostCuenta personal
0 seguidores18 repositorios públicosdesde dic 2023

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

RegistroPaqueteVersiónDescargas / mesVersionesÚltima publicaciónEtiquetas
PyPIneuralmind1.0.0345556hace 0 díasadaptive-recall-depthagent-answerabilityagent-ergonomicsagent-memory-feedback-loopagent-onboardingagent-onboarding-memoryagent-toolsaiai-agentai-coding-agentai-coding-assistantaideranswer-faithfulnessanswerability-benchmarkanswerability-evalanthropicapi-spec-searchassociative-memoryauto-backend-selectionautomated-indexingbackend-parity-gatebash-output-cacheblast-radiusbm25bm25-keyword-searchbranch-isolated-memorybuilt-in-code-graphc-code-intelligencec-cpp-mcpcall-graphchromadbchromadb-alternativechromadb-freechromadb-free-by-defaultchromadb-optionalci-auto-indexclaudeclaude-codeclaude-code-mcpclaude-desktopclaude-token-costclinecline-mcpco-break-detectioncode-graphcode-mcp-comparisoncode-memory-mcpcode-ragcode-rationalecode-retrieval-benchmarkcode-searchcode-understandingcode-visualizationcodebase-indexingcodebase-memory-mcp-alternativecodebase-memory-mcp-benchmarkcodebase-retrieval-testcodebase-searchcommit-rationalecommitted-team-memorycompiler-accurate-call-graphcomplementary-context-toolscompressed-vector-searchcontext-compressioncontext-engineeringcontext-engineering-stackcontext-windowcontinue-devcopilot-alternativecpp-indexingcsharp-code-graphcsharp-code-intelligencecursorcursor-alternativecursor-mcpcve-tree-free-defaultdaemon-first-architecturedecision-provenancedefault-backenddeveloper-productivitydeveloper-toolsdirectional-transitionsdocstring-to-code-retrievaldollar-savingsdotnet-code-searchdry-run-indexingeditor-integrationembeddingsevaluationexact-name-code-searchexplainable-retrievalexplicit-feedbackfable-5faithfulness-deltafaithfulness-evalfeedback-loopforce-directed-graphgeminigithub-action-indexgitnexus-alternativego-code-graphgpt-4graph-viewgraphify-alternativeheadroom-alternativehealth-checkhebbian-learninghybrid-searchimpact-analysisincremental-code-graphincremental-indexingindex-schema-validationinherited-agent-memoryinstall-doctorinstall-mcpintermediate-representationir-migrationjava-code-graphjava-code-intelligencejava-tree-sitterkeyword-vector-hybridknowledge-graphlabel-free-retrieval-evallean-default-installlearned-memory-evallive-code-indexllmllm-cost-optimizationllm-cost-trackingllm-judged-evalllm-toolsload-bearing-span-protectionlocal-daemonlong-contextmcpmcp-auto-detectionmcp-benchmarkmcp-servermcp-setupmemory-export-importmemory-namespacesmock-coveragemodel-context-protocolmulti-language-code-intelligencenative-editor-uxnatural-language-code-search-evalneedle-in-haystackneuralmind-evalneuralmind-impactneuralmind-serveneuralmind-vs-headroomnext-file-predictionnon-code-artifact-indexingobsidian-styleoffline-evalonboarding-liftonnx-embeddingsopenaiopenapi-indexingoutlier-detectionoutput-compressionphp-code-graphphp-code-intelligencephp-tree-sitterpluggable-graph-backendpolyglot-codebase-indexingpolyglot-fixturesponytail-alternativeponytail-headroom-integrationpositive-negative-feedbackposttooluse-hookprecise-call-graphprecision-recall-mrrprompt-compressionprotobuf-indexingragranked-retrieval-metricsrecall-at-kreciprocal-rank-fusionreduce-tokensreduced-cve-surfacerelevance-sidecarrepo-mapreproducible-benchmarkretrieval-debuggingretrieval-feedbackretrieval-qualityretrieval-quality-harnessretrieval-self-proberetrieval-traceretrieval-transport-generationreuse-feedbackreuse-vs-rewritereverse-dependencyreverse-dependency-lookuprrf-mergeruby-code-graphruby-code-intelligenceruby-tree-sitterrust-code-graphrust-code-intelligencerust-tree-sitterschema-artifact-searchscipscip-indexscip-precisionselector-autotuningself-improvement-enginesemantic-code-searchsemantic-searchshareable-agent-memoryskeleton-viewsourcegraph-cody-alternativesql-schema-indexingstructural-code-searchsynapse-layersynapse-recall-evalteam-memoryteam-memory-bundleteam-memory-citest-coverage-gapstoken-cost-benchmarktoken-cost-calculatortoken-optimizationtoken-reductiontoken-savings-dashboardtool-output-compressiontool-output-recoverytree-sittertree-sitter-graph-backendturboquantturbovectypescript-code-graphunified-token-optimizationvector-databasevector-quantizationversioned-index-contractvscode-extensionvscode-pluginwarm-index-cachewatch-mode-reindexzero-dependency-import

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 0 días
9.7/36Cadencia de commits — 14/52 semanas con commits
18/18Volumen de commits — 594 commits en el último año
10/10OpenSSF Scorecard: Maintained — 30 commit(s) and 30 issue activity found in the last 90 days -- score normalized to 10
Datos de entrada utilizados
commits_last_year594
human_commit_share
days_since_last_push0
active_weeks_last_year14
Cómo se puntúa
27/27Publica versiones — 61 versiones publicadas
36/36Recencia de las versiones — última versión hace 0 días
27/27Cadencia de publicación — una versión cada ~0,7 días
0/10OpenSSF Scorecard: Signed-Releases — Project has not signed or included provenance with any releases.
Datos de entrada utilizados
releases_count61
latest_release_tagv1.0.0
releases_from_tagsno
days_since_latest_release0
mean_days_between_releases0,7

Comunidad y Adopción

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

50Moderado · 18% del índice global
Cómo se puntúa
20.4/60Estrellas — 19 estrellas
0/25Forks — 0 forks
0/15Observadores — 0 observadores
Datos de entrada utilizados
forks0
stars19
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
47.2/80Descargas mensuales — 3455 descargas/mes en pypi
0/20Dependientes en el registro — no lo informa este ecosistema
Datos de entrada utilizados
packagesneuralmind
dependents
ecosystemspypi
total_downloads
monthly_downloads3455
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?

61Moderado · 24% del índice global
Cómo se puntúa
25.2/54Factor bus — la mitad de los commits recae en 2 contribuyente(s)
11.3/22.5Distribución de commits — el principal contribuyente firma el 50% de los commits
6.8/13.5Amplitud de contribuyentes — 5 contribuyentes
3/10OpenSSF Scorecard: Contributors — project has 1 contributing companies or organizations -- score normalized to 3
Datos de entrada utilizados
bus_factor2
contributors_sampled5
top_contributor_share0,499
Cómo se puntúa
46.8/46.8Resolución de issues — 100% de issues cerradas
29.3/38.3Aceptación de PR — 255/333 PR decididos fusionados
0/15OpenSSF Scorecard: Code-Review — Found 0/24 approved changesets -- score normalized to 0
Datos de entrada utilizados
merged_prs255
open_issues0
closed_issues37
issue_closed_ratio1
closed_unmerged_prs78
Cómo se puntúa
10/30Respaldo de la propiedad — cuenta personal (usuario)
0/20Dominio verificado — no aplicable a cuentas de usuario
0/25Alcance del propietario — 0 seguidores de dfrostar
14.5/25Trayectoria — 18 repos públicos, cuenta de ~2 años
Datos de entrada utilizados
followers0
owner_typeUser
is_verified
owner_logindfrostar
public_repos18
account_age_days942
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 0 días
20/20Historial de versiones — 56 versiones en el registro
20/20No obsoleto — activo, ni obsoleto ni retirado
Datos de entrada utilizados
packagesneuralmind
ecosystemspypi
any_deprecatedno
min_days_since_publish0

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 — 15 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 — 7 out of 7 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 — https://dfrostar.github.io/neuralmind/
10/10Descripción del repositorio
10/10Topics — 20 topics
10/10Wiki
Datos de entrada utilizados
topicsai, ai-coding, knowledge-graph, llm, mcp, semantic-search, token-reduction, agent-memory, claude-code, cursor, hebbian-learning, local-first, markov-chain, persistent-memory, synapse-layer, directional-transitions, next-file-prediction, developer-tools, graph-view, obsidian-style
has_wiki
homepagehttps://dfrostar.github.io/neuralmind/
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?

53Moderado · 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
0/7.5Code-Review — Found 0/24 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 30 issue activity found in the last 90 days -- score normalized to 10
5/5Packaging — packaging workflow detected
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 — Project has not signed or included provenance with any releases.
0/7.5Token-Permissions — detected GitHub workflow tokens with excessive permissions
0/7.5Vulnerabilities — 24 existing vulnerabilities detected
Datos de entrada utilizados
sourceopenssf_scorecard
checks_evaluated18
scorecard_versionv5.5.0
checks_inconclusive0
scorecard_aggregate5,3

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.

72Bueno · 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_bytes7582
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
11/11Verificación estática de tipos — editors/vscode/tsconfig.json, site/tsconfig.json
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
lockfilespackage-lock.json
has_dockerfile
typed_languageno
bootstrap_files
has_devcontainerno
has_linter_configno
typecheck_configseditors/vscode/tsconfig.json, site/tsconfig.json
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 (editors/vscode/tsconfig.json, site/tsconfig.json)
54.1/55Tamaños de archivo manejables — 6/362 archivos fuente de más de 60 KB
Datos de entrada utilizados
primary_languagePython
largest_source_bytes205.399
source_files_sampled362
oversized_source_files6
Cómo se puntúa
0/40Esquema de API (OpenAPI/GraphQL/proto)
20/20Servidor MCP
40/40Ejemplos ejecutables — example
Datos de entrada utilizados
example_dirsexample
has_mcp_signal
api_schema_files

Datos clave

19estrellas de GitHub
5contribuidores
594commits en los últimos 12 meses
0días desde el último push
61versiones publicadas
2factor bus
0issues abiertas
npm, PyPIecosistemas de paquetes

Más detalle

OpenSSF Scorecard 5.3 / 10
5.3agregado

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 07:59 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
0Code-ReviewFound 0/24 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 30 issue activity found in the last 90 days -- score normalized to 10
10Packagingpackaging workflow detected
0Pinned-Dependenciesdependency not pinned by hash detected -- score normalized to 0
10SASTSAST tool is run on all commits
10Security-Policysecurity policy file detected
0Signed-ReleasesProject has not signed or included provenance with any releases.
0Token-Permissionsdetected GitHub workflow tokens with excessive permissions
0Vulnerabilities24 existing vulnerabilities detected
Dependencias directas 24
RegistroPaqueteRestricción de versiónManifiesto
PyPIpyyaml>=6.0pyproject.toml
PyPItoml>=0.10pyproject.toml
PyPImcp>=1.27.2pyproject.toml
PyPIcryptography>=41.0pyproject.toml
PyPIpydantic>=2.0pyproject.toml
PyPIturbovec>=0.7pyproject.toml
PyPIonnxruntime>=1.16pyproject.toml
PyPItokenizers>=0.15pyproject.toml
PyPInumpy>=1.20pyproject.toml
PyPIchromadb>=0.4.0pyproject.toml
PyPItree-sitter>=0.21.0pyproject.toml
PyPItree-sitter-python>=0.21.0pyproject.toml
PyPItree-sitter-typescript>=0.21.0pyproject.toml
PyPItree-sitter-go>=0.21.0pyproject.toml
PyPItree-sitter-rust>=0.21.0pyproject.toml
PyPItree-sitter-java>=0.21.0pyproject.toml
PyPItree-sitter-c>=0.21.0pyproject.toml
PyPItree-sitter-cpp>=0.21.0pyproject.toml
PyPItree-sitter-c-sharp>=0.21.0pyproject.toml
PyPItree-sitter-ruby>=0.21.0pyproject.toml
PyPItree-sitter-php>=0.22.0pyproject.toml
npmnext14.2.21site/package.json
npmreact^18.3.1site/package.json
npmreact-dom^18.3.1site/package.json
Todas las dependencias 152

Conjunto completo de dependencias resueltas según el grafo de dependencias de GitHub: 28 paquetes directos y 124 indirectos (transitivos). El cierre transitivo es completo cuando el repositorio incluye un lockfile.

RegistroPaqueteVersiónRelación
npmnext14.2.21directa
npmreact18.3.1directa
npmreact-dom18.3.1directa
PyPIchromadbdirecta
PyPIchromadb1.5.8directa
PyPIcryptographydirecta
PyPImcpdirecta
PyPImcp1.28.1directa
PyPInumpydirecta
PyPIonnxruntimedirecta
PyPIpydanticdirecta
PyPIpyyamldirecta
PyPIpyyaml6.0.3directa
PyPItokenizersdirecta
PyPItomldirecta
PyPItoml0.10.2directa
PyPItree-sitterdirecta
PyPItree-sitter-cdirecta
PyPItree-sitter-c-sharpdirecta
PyPItree-sitter-cppdirecta
PyPItree-sitter-godirecta
PyPItree-sitter-javadirecta
PyPItree-sitter-phpdirecta
PyPItree-sitter-pythondirecta
PyPItree-sitter-rubydirecta
PyPItree-sitter-rustdirecta
PyPItree-sitter-typescriptdirecta
PyPIturbovecdirecta
npm@alloc/quick-lru5.2.0indirecta
npm@jridgewell/gen-mapping0.3.13indirecta
npm@jridgewell/resolve-uri3.1.2indirecta
npm@jridgewell/sourcemap-codec1.5.5indirecta
npm@jridgewell/trace-mapping0.3.31indirecta
npm@next/env14.2.21indirecta
npm@next/swc-darwin-arm6414.2.21indirecta
npm@next/swc-darwin-x6414.2.21indirecta
npm@next/swc-linux-arm64-gnu14.2.21indirecta
npm@next/swc-linux-arm64-musl14.2.21indirecta
npm@next/swc-linux-x64-gnu14.2.21indirecta
npm@next/swc-linux-x64-musl14.2.21indirecta
npm@next/swc-win32-arm64-msvc14.2.21indirecta
npm@next/swc-win32-ia32-msvc14.2.21indirecta
npm@next/swc-win32-x64-msvc14.2.21indirecta
npm@nodelib/fs.scandir2.1.5indirecta
npm@nodelib/fs.stat2.0.5indirecta
npm@nodelib/fs.walk1.2.8indirecta
npm@swc/counter0.1.3indirecta
npm@swc/helpers0.5.5indirecta
npm@types/node20.19.43indirecta
npm@types/node26.0.1indirecta
npm@types/prop-types15.7.15indirecta
npm@types/react18.3.31indirecta
npm@types/react-dom18.3.7indirecta
npm@types/vscode1.125.0indirecta
npmany-promise1.3.0indirecta
npmanymatch3.1.3indirecta
npmarg5.0.2indirecta
npmautoprefixer10.5.2indirecta
npmbaseline-browser-mapping2.10.43indirecta
npmbinary-extensions2.3.0indirecta
npmbraces3.0.3indirecta
npmbrowserslist4.28.6indirecta
npmbusboy1.6.0indirecta
npmcamelcase-css2.0.1indirecta
npmcaniuse-lite1.0.30001805indirecta
npmchokidar3.6.0indirecta
npmclient-only0.0.1indirecta
npmcommander4.1.1indirecta
npmcssesc3.0.0indirecta
npmcsstype3.2.3indirecta
npmdidyoumean1.2.2indirecta
npmdlv1.1.3indirecta
npmelectron-to-chromium1.5.389indirecta
npmes-errors1.3.0indirecta
npmescalade3.2.0indirecta
npmfast-glob3.3.3indirecta
npmfastq1.20.1indirecta
npmfdir6.5.0indirecta
npmfill-range7.1.1indirecta
npmfraction.js5.3.4indirecta
npmfsevents2.3.3indirecta
npmfunction-bind1.1.2indirecta
npmglob-parent5.1.2indirecta
npmglob-parent6.0.2indirecta
npmgraceful-fs4.2.11indirecta
npmhasown2.0.4indirecta
npmis-binary-path2.1.0indirecta
npmis-core-module2.16.2indirecta
npmis-extglob2.1.1indirecta
npmis-glob4.0.3indirecta
npmis-number7.0.0indirecta
npmjiti1.21.7indirecta
npmjs-tokens4.0.0indirecta
npmlilconfig3.1.3indirecta
npmlines-and-columns1.2.4indirecta
npmloose-envify1.4.0indirecta
npmmerge21.4.1indirecta
npmmicromatch4.0.8indirecta
npmmz2.7.0indirecta
npmnanoid3.3.15indirecta
npmnode-releases2.0.51indirecta
npmnormalize-path3.0.0indirecta
npmobject-assign4.1.1indirecta
npmobject-hash3.0.0indirecta
npmpath-parse1.0.7indirecta
npmpicocolors1.1.1indirecta
npmpicomatch2.3.2indirecta
npmpicomatch4.0.5indirecta
npmpify2.3.0indirecta
npmpirates4.0.7indirecta
npmpostcss8.4.31indirecta
npmpostcss8.5.17indirecta
npmpostcss-import15.1.0indirecta
npmpostcss-js4.1.0indirecta
npmpostcss-load-config6.0.1indirecta
npmpostcss-nested6.2.0indirecta
npmpostcss-selector-parser6.1.4indirecta
npmpostcss-value-parser4.2.0indirecta
npmqueue-microtask1.2.3indirecta
npmread-cache1.0.0indirecta
npmreaddirp3.6.0indirecta
npmresolve1.22.12indirecta
npmreusify1.1.0indirecta
npmrun-parallel1.2.0indirecta
npmscheduler0.23.2indirecta
npmsource-map-js1.2.1indirecta
npmstreamsearch1.1.0indirecta
npmstyled-jsx5.1.1indirecta
npmsucrase3.35.1indirecta
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                  {
                    "code": "topics_count",
                    "params": {
                      "count": 20
                    }
                  }
                ],
                "max_points": 10
              },
              {
                "key": "wiki",
                "name": "Wiki",
                "detail": null,
                "points": 10,
                "status": "met",
                "details": [],
                "max_points": 10
              }
            ]
          }
        ],
        "description": "Are baseline engineering and documentation practices in place?"
      },
      {
        "key": "security",
        "band": "moderate",
        "name": "Security",
        "value": 53,
        "weight": 0.16,
        "metrics": [
          {
            "key": "security_posture",
            "band": "moderate",
            "name": "Security posture",
            "note": null,
            "notes": [],
            "value": 53,
            "inputs": {
              "source": "openssf_scorecard",
              "checks_evaluated": 18,
              "scorecard_version": "v5.5.0",
              "checks_inconclusive": 0,
              "scorecard_aggregate": 5.3
            },
            "components": [
              {
                "key": "binary_artifacts",
                "name": "Binary-Artifacts",
                "detail": "no binaries found in the repo",
                "points": 7.5,
                "status": "met",
                "details": [],
                "max_points": 7.5
              },
              {
                "key": "branch_protection",
                "name": "Branch-Protection",
                "detail": "branch protection is not maximal on development and all release branches",
                "points": 2.2,
                "status": "partial",
                "details": [],
                "max_points": 7.5
              },
              {
                "key": "ci_tests",
                "name": "CI-Tests",
                "detail": "7 out of 7 merged PRs checked by a CI test -- score normalized to 10",
                "points": 2.5,
                "status": "met",
                "details": [],
                "max_points": 2.5
              },
              {
                "key": "cii_best_practices",
                "name": "CII-Best-Practices",
                "detail": "no effort to earn an OpenSSF best practices badge detected",
                "points": 0,
                "status": "missed",
                "details": [],
                "max_points": 2.5
              },
              {
                "key": "code_review",
                "name": "Code-Review",
                "detail": "Found 0/24 approved changesets -- score normalized to 0",
                "points": 0,
                "status": "missed",
                "details": [],
                "max_points": 7.5
              },
              {
                "key": "contributors",
                "name": "Contributors",
                "detail": "project has 1 contributing companies or organizations -- score normalized to 3",
                "points": 0.8,
                "status": "partial",
                "details": [],
                "max_points": 2.5
              },
              {
                "key": "dangerous_workflow",
                "name": "Dangerous-Workflow",
                "detail": "no dangerous workflow patterns detected",
                "points": 10,
                "status": "met",
                "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 30 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 detected",
                "points": 5,
                "status": "met",
                "details": [],
                "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 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": "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": "24 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": "good",
        "name": "AI Readiness",
        "value": 72,
        "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": 7582
            },
            "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": "moderate",
            "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": 53,
            "inputs": {
              "has_nix": false,
              "has_tests": true,
              "lockfiles": [
                "package-lock.json"
              ],
              "has_dockerfile": true,
              "typed_language": false,
              "bootstrap_files": [],
              "has_devcontainer": false,
              "has_linter_config": false,
              "typecheck_configs": [
                "editors/vscode/tsconfig.json",
                "site/tsconfig.json"
              ],
              "agent_commit_share": null,
              "toolchain_manifests": [],
              "dependency_bot_commit_share": 0
            },
            "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": "editors/vscode/tsconfig.json, site/tsconfig.json",
                "points": 11,
                "status": "met",
                "details": [
                  {
                    "code": "file_list",
                    "params": {
                      "files": "editors/vscode/tsconfig.json, site/tsconfig.json"
                    }
                  }
                ],
                "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": 81,
            "inputs": {
              "primary_language": "Python",
              "largest_source_bytes": 205399,
              "source_files_sampled": 362,
              "oversized_source_files": 6
            },
            "components": [
              {
                "key": "type_checkable_code",
                "name": "Type-checkable code",
                "detail": "Python with type-check config (editors/vscode/tsconfig.json, site/tsconfig.json)",
                "points": 27,
                "status": "partial",
                "details": [
                  {
                    "code": "typecheck_config_language",
                    "params": {
                      "files": "editors/vscode/tsconfig.json, site/tsconfig.json",
                      "language": "Python"
                    }
                  }
                ],
                "max_points": 45
              },
              {
                "key": "manageable_file_sizes",
                "name": "Manageable file sizes",
                "detail": "6/362 source files over 60KB",
                "points": 54.1,
                "status": "partial",
                "details": [
                  {
                    "code": "oversized_source_files",
                    "params": {
                      "kb": 60,
                      "sampled": 362,
                      "oversized": 6
                    }
                  }
                ],
                "max_points": 55
              }
            ]
          },
          {
            "key": "ai_interfaces",
            "band": "moderate",
            "name": "Machine-readable interfaces",
            "note": null,
            "notes": [],
            "value": 60,
            "inputs": {
              "example_dirs": [
                "example"
              ],
              "has_mcp_signal": true,
              "api_schema_files": []
            },
            "components": [
              {
                "key": "api_schema_openapi_graphql_proto",
                "name": "API schema (OpenAPI/GraphQL/proto)",
                "detail": null,
                "points": 0,
                "status": "missed",
                "details": [],
                "max_points": 40
              },
              {
                "key": "mcp_server",
                "name": "MCP server",
                "detail": null,
                "points": 20,
                "status": "met",
                "details": [],
                "max_points": 20
              },
              {
                "key": "runnable_examples",
                "name": "Runnable examples",
                "detail": "example",
                "points": 40,
                "status": "met",
                "details": [
                  {
                    "code": "file_list",
                    "params": {
                      "files": "example"
                    }
                  }
                ],
                "max_points": 40
              }
            ]
          }
        ],
        "description": "How well is the repo equipped to be developed and maintained with AI coding agents? An independent, experimental badge — weight 0.0, so it is surfaced on its own and does not affect the overall health score."
      }
    ],
    "metrics_version": "1.13.0"
  },
  "warnings": [],
  "report_type": "repository",
  "generated_at": "2026-07-19T08:00:17.956913Z",
  "schema_version": "0.14.0",
  "badge_url": "https://raw.githubusercontent.com/inspect-software/badges/main/v1/d/dfrostar/neuralmind.svg",
  "full_name": "dfrostar/neuralmind",
  "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 v0.14.0 — metodología completa · wiki de métricas.

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