Registro públicoModerado
Informe de salud del softwareesquema 0.11.0 · métricas 1.13.0 · 2026-07-15 02:41 UTC
cdeust / Cortex
Persistent memory for Claude Code built on computational neuroscience, not just retrieval. 36 cited brain mechanisms consolidate what matters, keep it current as your project evolves, and reconstruct the right context at the right time — a living memory, not a flat RAG. Says "I don't know" when unsure, flags contradictions. Local-first · MCP · MIT.
cdeust/Cortex tiene un índice de salud de 68 sobre 100, lo que lo sitúa en la banda Moderado. Su puntuación más alta es Vitality (86/100) y la más baja, Security (55/100). Se actualizó por última vez hoy. Una sola persona concentra la mayor parte del trabajo reciente.
68
global / 100Índice 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.
68
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)
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
ClementCuenta personal
26 seguidores52 repositorios públicosdesde ene 2013
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
| Registro | Paquete | Versión | Descargas / mes | Versiones | Última publicación | Etiquetas |
|---|---|---|---|---|---|---|
| PyPI | hypermnesia-mcp | 4.14.1 | 2447 | 21 | hace 0 días | claude-codecognitive-profilingmcpmemory |
Métricas por categoría
Vitalidad
¿Está vivo el proyecto: se escribe código y se publican versiones?
86
Actividad de desarrollo
76Bueno
Cómo se puntúa
| 36/36 | Recencia de push — último push hace 0 días |
| 11.8/36 | Cadencia de commits — 17/52 semanas con commits |
| 18/18 | Volumen de commits — 1003 commits en el último año |
| 10/10 | OpenSSF 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_year | 1003 |
| human_commit_share | — |
| days_since_last_push | 0 |
| active_weeks_last_year | 17 |
Disciplina de publicación
100Excelente
Cómo se puntúa
| 27/27 | Publica versiones — 86 versiones publicadas |
| 36/36 | Recencia de las versiones — última versión hace 0 días |
| 27/27 | Cadencia de publicación — una versión cada ~0,4 días |
| 0/10 | OpenSSF Scorecard: Signed-Releases — sin datos |
Datos de entrada utilizados
| releases_count | 86 |
| latest_release_tag | v4.14.1 |
| releases_from_tags | no |
| days_since_latest_release | 0 |
| mean_days_between_releases | 0,4 |
Excluidos de la puntuación (sin datos o no aplicable): OpenSSF Scorecard: Signed-Releases. Los pesos restantes se han renormalizado.
Comunidad y Adopción
¿Tiene el proyecto usuarios, descargas, atención y unas condiciones acogedoras para quienes contribuyen?
60
Popularidad y adopción
40En riesgo
Cómo se puntúa
| 29.5/60 | Estrellas — 67 estrellas |
| 8.3/25 | Forks — 11 forks |
| 2.7/15 | Observadores — 4 observadores |
Datos de entrada utilizados
| forks | 11 |
| stars | 67 |
| watchers | 4 |
| growth_state | unverified |
| growth_factor_pct | 100 |
| growth_unverified_reason | no_history |
Salud de la comunidad
86Excelente
Cómo se puntúa
| 22.5/22.5 | README |
| 16.9/22.5 | Licencia — archivo de licencia presente, no es una licencia reconocida |
| 18/18 | Guía CONTRIBUTING |
| 13.5/13.5 | Código de conducta |
| 0/7.2 | Plantilla de issues |
| 6.3/6.3 | Plantilla de PR |
Datos de entrada utilizados
| has_readme | sí |
| has_license | sí |
| has_contributing | sí |
| has_issue_template | no |
| has_code_of_conduct | sí |
| has_pull_request_template | sí |
Adopción en el ecosistema (descargas)
56Moderado
Cómo se puntúa
| 45.2/80 | Descargas mensuales — 2447 descargas/mes en pypi |
| 0/20 | Dependientes en el registro — no lo informa este ecosistema |
Datos de entrada utilizados
| packages | hypermnesia-mcp |
| dependents | — |
| ecosystems | pypi |
| total_downloads | — |
| monthly_downloads | 2447 |
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?
58
Cómo se puntúa
| 9/54 | Factor bus — la mitad de los commits recae en 1 contribuyente(s) |
| 0.2/22.5 | Distribución de commits — el principal contribuyente firma el 99% de los commits |
| 5.4/13.5 | Amplitud de contribuyentes — 4 contribuyentes |
| 0/10 | OpenSSF Scorecard: Contributors — project has 0 contributing companies or organizations -- score normalized to 0 |
Datos de entrada utilizados
| bus_factor | 1 |
| contributors_sampled | 4 |
| top_contributor_share | 0,991 |
Cómo se puntúa
| 44.5/46.8 | Resolución de issues — 95% de issues cerradas |
| 35.4/38.3 | Aceptación de PR — 86/93 PR decididos fusionados |
| 0/15 | OpenSSF Scorecard: Code-Review — Found 0/27 approved changesets -- score normalized to 0 |
Datos de entrada utilizados
| merged_prs | 86 |
| open_issues | 2 |
| closed_issues | 40 |
| issue_closed_ratio | 0,952 |
| closed_unmerged_prs | 7 |
Propiedad y custodia
56Moderado
Cómo se puntúa
| 10/30 | Respaldo de la propiedad — cuenta personal (usuario) |
| 0/20 | Dominio verificado — no aplicable a cuentas de usuario |
| 10.3/25 | Alcance del propietario — 26 seguidores de cdeust |
| 24.6/25 | Trayectoria — 52 repos públicos, cuenta de ~13 años |
Datos de entrada utilizados
| followers | 26 |
| owner_type | User |
| is_verified | — |
| owner_login | cdeust |
| public_repos | 52 |
| account_age_days | 4941 |
Excluidos de la puntuación (sin datos o no aplicable): Dominio verificado. Los pesos restantes se han renormalizado.
Mantenimiento de paquetes
100Excelente
Cómo se puntúa
| 25/25 | Publicado y resoluble — 1 paquete(s) en pypi |
| 35/35 | Recencia de publicación — última publicación hace 0 días |
| 20/20 | Historial de versiones — 21 versiones en el registro |
| 20/20 | No obsoleto — activo, ni obsoleto ni retirado |
Datos de entrada utilizados
| packages | hypermnesia-mcp |
| ecosystems | pypi |
| any_deprecated | no |
| min_days_since_publish | 0 |
Calidad de Ingeniería
¿Existen unas prácticas mínimas de ingeniería y documentación?
77
Prácticas de ingeniería
68Moderado
Cómo se puntúa
| 24/24 | Flujos de trabajo de CI — 4 flujo(s) de trabajo |
| 24/24 | Pruebas presentes |
| 0/16 | Configuración de linter |
| 0/9.6 | Hooks de pre-commit |
| 0/6.4 | .editorconfig |
| 20/20 | OpenSSF Scorecard: CI-Tests — 19 out of 19 merged PRs checked by a CI test -- score normalized to 10 |
Datos de entrada utilizados
| has_ci | sí |
| has_tests | sí |
| has_editorconfig | no |
| has_linter_config | no |
| has_precommit_config | no |
Documentación
90Excelente
Cómo se puntúa
| 30/30 | README |
| 25/25 | Directorio de documentación |
| 15/15 | Sitio de documentación / página del proyecto — https://ai-architect.tools |
| 10/10 | Descripción del repositorio |
| 10/10 | Topics — 20 topics |
| 0/10 | Wiki |
Datos de entrada utilizados
| topics | agent-memory-system, anthropic, causal-inference, claude, claude-code, claude-code-plugin, cognitive-architecture, cognitive-science, episodic-memory, hopfield-network, llm-memory, long-term-memory, mcp-server, memory, model-context-protocol, neuroscience, persistent-memory, predictive-coding, retrieval-augmented-generation, vector-search |
| has_wiki | no |
| homepage | https://ai-architect.tools |
| has_readme | sí |
| has_docs_dir | sí |
| has_description | sí |
Seguridad
¿Son sólidas las prácticas visibles de seguridad y de cadena de suministro, sin exposición jurisdiccional de alto riesgo sin resolver?
55
Postura de seguridad
55Moderado
Cómo se puntúa
| 7.5/7.5 | Binary-Artifacts — no binaries found in the repo |
| 0/7.5 | Branch-Protection — branch protection not enabled on development/release branches |
| 2.5/2.5 | CI-Tests — 19 out of 19 merged PRs checked by a CI test -- score normalized to 10 |
| 0/2.5 | CII-Best-Practices — no effort to earn an OpenSSF best practices badge detected |
| 0/7.5 | Code-Review — Found 0/27 approved changesets -- score normalized to 0 |
| 0/2.5 | Contributors — project has 0 contributing companies or organizations -- score normalized to 0 |
| 10/10 | Dangerous-Workflow — no dangerous workflow patterns detected |
| 7.5/7.5 | Dependency-Update-Tool — update tool detected |
| 0/5 | Fuzzing — project is not fuzzed |
| 2.2/2.5 | Licencia — license file detected |
| 7.5/7.5 | Maintained — 30 commit(s) and 30 issue activity found in the last 90 days -- score normalized to 10 |
| 5/5 | Packaging — packaging workflow detected |
| 0/5 | Pinned-Dependencies — dependency not pinned by hash detected -- score normalized to 0 |
| 5/5 | SAST — SAST tool is run on all commits |
| 5/5 | Security-Policy — security policy file detected |
| 0/7.5 | Signed-Releases — sin datos |
| 0/7.5 | Token-Permissions — detected GitHub workflow tokens with excessive permissions |
| 1.5/7.5 | Vulnerabilities — 8 existing vulnerabilities detected |
Datos de entrada utilizados
| source | openssf_scorecard |
| checks_evaluated | 17 |
| scorecard_version | v5.5.0 |
| checks_inconclusive | 1 |
| scorecard_aggregate | 5,5 |
Excluidos de la puntuación (sin datos o no aplicable): signed_releases. Los pesos restantes se han renormalizado.
Preparación para IA
¿Hasta qué punto está el repositorio preparado para desarrollarse y mantenerse con agentes de codificación de IA? Es una insignia independiente y experimental — peso 0,0, de modo que se presenta por separado y no afecta a la puntuación de salud global.
67
Contexto y guía para agentes
75Bueno
Cómo se puntúa
| 45/45 | Instrucciones para agentes — CLAUDE.md |
| 0/15 | Documentación legible por máquinas (llms.txt) |
| 0/40 | Historial de commits legible — sin datos |
Datos de entrada utilizados
| has_llms_txt | no |
| legible_history_share | — |
| agent_instruction_files | CLAUDE.md |
| agent_instruction_max_bytes | 5077 |
Excluidos de la puntuación (sin datos o no aplicable): Historial de commits legible. Los pesos restantes se han renormalizado.
Cómo se puntúa
| 18/18 | Arranque con un solo comando — Makefile, docs/arxiv-thermodynamic/Makefile |
| 22/22 | Pruebas automatizadas |
| 0/11 | Configuración de lint / formato |
| 11/11 | Verificación estática de tipos — pyrightconfig.json |
| 10/10 | Entorno reproducible — devcontainer, Dockerfile, lockfile |
| 0/10 | Práctica demostrada con agentes — sin datos |
| 0/8 | Mantenimiento automatizado — sin datos |
| 0/10 | OpenSSF Scorecard: Pinned-Dependencies — dependency not pinned by hash detected -- score normalized to 0 |
Datos de entrada utilizados
| has_nix | no |
| has_tests | sí |
| lockfiles | uv.lock |
| has_dockerfile | sí |
| typed_language | no |
| bootstrap_files | Makefile, docs/arxiv-thermodynamic/Makefile |
| has_devcontainer | sí |
| has_linter_config | no |
| typecheck_configs | pyrightconfig.json |
| agent_commit_share | — |
| toolchain_manifests | — |
| dependency_bot_commit_share | — |
Excluidos de la puntuación (sin datos o no aplicable): Práctica demostrada con agentes, Mantenimiento automatizado. Los pesos restantes se han renormalizado.
Cómo se puntúa
| 27/45 | Código verificable por tipos — Python con configuración de verificación de tipos (pyrightconfig.json) |
| 54.8/55 | Tamaños de archivo manejables — 3/959 archivos fuente de más de 60 KB |
Datos de entrada utilizados
| primary_language | Python |
| largest_source_bytes | 111.081 |
| source_files_sampled | 959 |
| oversized_source_files | 3 |
Interfaces legibles por máquina
20Crítico
Cómo se puntúa
| 0/40 | Esquema de API (OpenAPI/GraphQL/proto) |
| 20/20 | Servidor MCP |
| 0/40 | Ejemplos ejecutables |
Datos de entrada utilizados
| example_dirs | — |
| has_mcp_signal | sí |
| api_schema_files | — |
Datos clave
67estrellas de GitHub
4contribuidores
1003commits en los últimos 12 meses
0días desde el último push
86versiones publicadas
1factor bus
2issues abiertas
npm, PyPIecosistemas de paquetes
Advertencias de recopilación de datos
- Could not fetch npm package 'hypermnesia-mcp' from its registry
Más detalle
OpenSSF Scorecard 5.5 / 10
5.5agregado
Evaluación de seguridad independiente y agnóstica en cuanto a herramientas, procedente del proyecto de código abierto OpenSSF Scorecard. Cada comprobación premia una práctica de seguridad, no la herramienta de un proveedor concreto. Las comprobaciones que Scorecard no pudo determinar se marcan como n/d y se excluyen de la puntuación de seguridad (nunca se cuentan como cero).
| 10 | Binary-Artifacts | no binaries found in the repo |
| 0 | Branch-Protection | branch protection not enabled on development/release branches |
| 10 | CI-Tests | 19 out of 19 merged PRs checked by a CI test -- score normalized to 10 |
| 0 | CII-Best-Practices | no effort to earn an OpenSSF best practices badge detected |
| 0 | Code-Review | Found 0/27 approved changesets -- score normalized to 0 |
| 0 | Contributors | project has 0 contributing companies or organizations -- score normalized to 0 |
| 10 | Dangerous-Workflow | no dangerous workflow patterns detected |
| 10 | Dependency-Update-Tool | update tool detected |
| 0 | Fuzzing | project is not fuzzed |
| 9 | License | license file detected |
| 10 | Maintained | 30 commit(s) and 30 issue activity found in the last 90 days -- score normalized to 10 |
| 10 | Packaging | packaging workflow detected |
| 0 | Pinned-Dependencies | dependency not pinned by hash detected -- score normalized to 0 |
| 10 | SAST | SAST tool is run on all commits |
| 10 | Security-Policy | security policy file detected |
| n/d | Signed-Releases | no releases found |
| 0 | Token-Permissions | detected GitHub workflow tokens with excessive permissions |
| 2 | Vulnerabilities | 8 existing vulnerabilities detected |
Dependencias directas 6
| Registro | Paquete | Restricción de versión | Manifiesto |
|---|---|---|---|
| PyPI | fastmcp | >=2.0.0 | pyproject.toml |
| PyPI | pydantic | >=2.0.0 | pyproject.toml |
| PyPI | pydantic-settings | >=2.0.0 | pyproject.toml |
| PyPI | numpy | >=1.24.0 | pyproject.toml |
| PyPI | sentence-transformers | >=3.0.0 | pyproject.toml |
| PyPI | flashrank | >=0.2.0 | pyproject.toml |
Todas las dependencias 196
Conjunto completo de dependencias resueltas según el grafo de dependencias de GitHub: 7 paquetes directos y 189 indirectos (transitivos). El cierre transitivo es completo cuando el repositorio incluye un lockfile.
| Registro | Paquete | Versión | Relación |
|---|---|---|---|
| PyPI | fastmcp | 3.2.4 | directa |
| PyPI | flashrank | 0.2.10 | directa |
| PyPI | numpy | 2.4.4 | directa |
| PyPI | numpy | 2.2.6 | directa |
| PyPI | pydantic | 2.13.3 | directa |
| PyPI | pydantic-settings | 2.14.2 | directa |
| PyPI | sentence-transformers | 5.4.1 | directa |
| PyPI | aiofile | 3.9.0 | indirecta |
| PyPI | aiohappyeyeballs | 2.6.1 | indirecta |
| PyPI | aiohttp | 3.14.1 | indirecta |
| PyPI | aiosignal | 1.4.0 | indirecta |
| PyPI | annotated-doc | 0.0.4 | indirecta |
| PyPI | annotated-types | 0.7.0 | indirecta |
| PyPI | anyio | 4.13.0 | indirecta |
| PyPI | async-timeout | 5.0.1 | indirecta |
| PyPI | attrs | 26.1.0 | indirecta |
| PyPI | authlib | 1.7.2 | indirecta |
| PyPI | backports-asyncio-runner | 1.2.0 | indirecta |
| PyPI | backports-tarfile | 1.2.0 | indirecta |
| PyPI | beartype | 0.22.9 | indirecta |
| PyPI | cachetools | 7.0.6 | indirecta |
| PyPI | caio | 0.9.25 | indirecta |
| PyPI | certifi | 2026.2.25 | indirecta |
| PyPI | cffi | 2.0.0 | indirecta |
| PyPI | charset-normalizer | 3.4.7 | indirecta |
| PyPI | click | 8.3.2 | indirecta |
| PyPI | colorama | 0.4.6 | indirecta |
| PyPI | colorcet | 3.2.1 | indirecta |
| PyPI | coverage | 7.13.5 | indirecta |
| PyPI | cryptography | 48.0.1 | indirecta |
| PyPI | cuda-bindings | 13.2.0 | indirecta |
| PyPI | cuda-pathfinder | 1.5.3 | indirecta |
| PyPI | cuda-toolkit | 13.0.2 | indirecta |
| PyPI | cyclopts | 4.10.2 | indirecta |
| PyPI | datasets | 4.8.4 | indirecta |
| PyPI | datashader | 0.19.0 | indirecta |
| PyPI | dill | 0.4.1 | indirecta |
| PyPI | dnspython | 2.8.0 | indirecta |
| PyPI | docstring-parser | 0.18.0 | indirecta |
| PyPI | docutils | 0.22.4 | indirecta |
| PyPI | email-validator | 2.3.0 | indirecta |
| PyPI | exceptiongroup | 1.3.1 | indirecta |
| PyPI | filelock | 3.29.0 | indirecta |
| PyPI | flatbuffers | 25.12.19 | indirecta |
| PyPI | frozenlist | 1.8.0 | indirecta |
| PyPI | fsspec | 2026.2.0 | indirecta |
| PyPI | googleapis-common-protos | 1.75.0 | indirecta |
| PyPI | griffelib | 2.0.2 | indirecta |
| PyPI | h11 | 0.16.0 | indirecta |
| PyPI | hf-xet | 1.4.3 | indirecta |
| PyPI | httpcore | 1.0.9 | indirecta |
| PyPI | httpx | 0.28.1 | indirecta |
| PyPI | httpx-sse | 0.4.3 | indirecta |
| PyPI | huggingface-hub | 1.11.0 | indirecta |
| PyPI | hypermnesia-mcp | 4.14.1 | indirecta |
| PyPI | idna | 3.15 | indirecta |
| PyPI | igraph | 1.0.0 | indirecta |
| PyPI | importlib-metadata | 8.7.1 | indirecta |
| PyPI | iniconfig | 2.3.0 | indirecta |
| PyPI | jaraco-classes | 3.4.0 | indirecta |
| PyPI | jaraco-context | 6.1.2 | indirecta |
| PyPI | jaraco-functools | 4.4.0 | indirecta |
| PyPI | jeepney | 0.9.0 | indirecta |
| PyPI | jinja2 | 3.1.6 | indirecta |
| PyPI | joblib | 1.5.3 | indirecta |
| PyPI | joserfc | 1.6.8 | indirecta |
| PyPI | jsonref | 1.1.0 | indirecta |
| PyPI | jsonschema | 4.26.0 | indirecta |
| PyPI | jsonschema-path | 0.4.5 | indirecta |
| PyPI | jsonschema-specifications | 2025.9.1 | indirecta |
| PyPI | keyring | 25.7.0 | indirecta |
| PyPI | leidenalg | 0.12.0 | indirecta |
| PyPI | libcst | 1.8.6 | indirecta |
| PyPI | linkify-it-py | 2.1.0 | indirecta |
| PyPI | llvmlite | 0.47.0 | indirecta |
| PyPI | markdown-it-py | 4.0.0 | indirecta |
| PyPI | markupsafe | 3.0.3 | indirecta |
| PyPI | mcp | 1.27.0 | indirecta |
| PyPI | mdit-py-plugins | 0.6.1 | indirecta |
| PyPI | mdurl | 0.1.2 | indirecta |
| PyPI | more-itertools | 11.0.2 | indirecta |
| PyPI | mpmath | 1.3.0 | indirecta |
| PyPI | multidict | 6.7.1 | indirecta |
| PyPI | multipledispatch | 1.0.0 | indirecta |
| PyPI | multiprocess | 0.70.19 | indirecta |
| PyPI | mutmut | 3.6.0 | indirecta |
| PyPI | networkx | 3.6.1 | indirecta |
| PyPI | networkx | 3.4.2 | indirecta |
| PyPI | numba | 0.65.1 | indirecta |
| PyPI | nvidia-cublas | 13.1.0.3 | indirecta |
| PyPI | nvidia-cuda-cupti | 13.0.85 | indirecta |
| PyPI | nvidia-cuda-nvrtc | 13.0.88 | indirecta |
| PyPI | nvidia-cuda-runtime | 13.0.96 | indirecta |
| PyPI | nvidia-cudnn-cu13 | 9.19.0.56 | indirecta |
| PyPI | nvidia-cufft | 12.0.0.61 | indirecta |
| PyPI | nvidia-cufile | 1.15.1.6 | indirecta |
| PyPI | nvidia-curand | 10.4.0.35 | indirecta |
| PyPI | nvidia-cusolver | 12.0.4.66 | indirecta |
| PyPI | nvidia-cusparse | 12.6.3.3 | indirecta |
| PyPI | nvidia-cusparselt-cu13 | 0.8.0 | indirecta |
| PyPI | nvidia-nccl-cu13 | 2.28.9 | indirecta |
| PyPI | nvidia-nvjitlink | 13.0.88 | indirecta |
| PyPI | nvidia-nvshmem-cu13 | 3.4.5 | indirecta |
| PyPI | nvidia-nvtx | 13.0.85 | indirecta |
| PyPI | onnxruntime | 1.24.4 | indirecta |
| PyPI | onnxruntime | 1.24.3 | indirecta |
| PyPI | openapi-pydantic | 0.5.1 | indirecta |
| PyPI | opentelemetry-api | 1.43.0 | indirecta |
| PyPI | opentelemetry-exporter-otlp-proto-common | 1.43.0 | indirecta |
| PyPI | opentelemetry-exporter-otlp-proto-http | 1.43.0 | indirecta |
| PyPI | opentelemetry-proto | 1.43.0 | indirecta |
| PyPI | opentelemetry-sdk | 1.43.0 | indirecta |
| PyPI | opentelemetry-semantic-conventions | 0.64b0 | indirecta |
| PyPI | packaging | 26.1 | indirecta |
| PyPI | pandas | 2.3.3 | indirecta |
| PyPI | pandas | 3.0.2 | indirecta |
| PyPI | param | 2.3.3 | indirecta |
| PyPI | pathable | 0.5.0 | indirecta |
| PyPI | pgvector | 0.4.2 | indirecta |
| PyPI | pillow | 12.2.0 | indirecta |
| PyPI | platformdirs | 4.9.6 | indirecta |
| PyPI | pluggy | 1.6.0 | indirecta |
| PyPI | propcache | 0.4.1 | indirecta |
| PyPI | protobuf | 7.34.1 | indirecta |
| PyPI | psycopg | 3.3.3 | indirecta |
| PyPI | psycopg-binary | 3.3.3 | indirecta |
| PyPI | psycopg-pool | 3.3.0 | indirecta |
| PyPI | py-key-value-aio | 0.4.4 | indirecta |
| PyPI | pyarrow | 24.0.0 | indirecta |
| PyPI | pycparser | 3.0 | indirecta |
| PyPI | pyct | 0.6.0 | indirecta |
| PyPI | pydantic-core | 2.46.3 | indirecta |
| PyPI | pygments | 2.20.0 | indirecta |
| PyPI | pyjwt | 2.13.0 | indirecta |
| PyPI | pymupdf | 1.27.2.2 | indirecta |
| PyPI | pyperclip | 1.11.0 | indirecta |
| PyPI | pytest | 9.0.3 | indirecta |
| PyPI | pytest-asyncio | 1.3.0 | indirecta |
| PyPI | pytest-cov | 7.1.0 | indirecta |
| PyPI | pytest-timeout | 2.4.0 | indirecta |
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"unverified_reason": "repository_too_young",
"unanswered_open_prs": null,
"unanswered_open_issues": null,
"days_since_last_merged_pr": null,
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},
"components": [
{
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"detail": "maintenance record not established from the collected data",
"points": 100,
"status": "met",
"details": [
{
"code": "abandonment_unverified",
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}
],
"max_points": 100
}
]
}
],
"description": "Is the project alive — is code being written and are releases shipping?"
},
{
"key": "community",
"band": "moderate",
"name": "Community & Adoption",
"value": 60,
"weight": 0.18,
"metrics": [
{
"key": "popularity",
"band": "at_risk",
"name": "Popularity & adoption",
"note": null,
"notes": [],
"value": 40,
"inputs": {
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"stars": 67,
"watchers": 4,
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"growth_factor_pct": 100,
"growth_unverified_reason": "no_history"
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"components": [
{
"key": "stars",
"name": "Stars",
"detail": "67 stars",
"points": 29.5,
"status": "partial",
"details": [
{
"code": "stars",
"params": {
"count": 67
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}
],
"max_points": 60
},
{
"key": "forks",
"name": "Forks",
"detail": "11 forks",
"points": 8.3,
"status": "partial",
"details": [
{
"code": "forks",
"params": {
"count": 11
}
}
],
"max_points": 25
},
{
"key": "watchers",
"name": "Watchers",
"detail": "4 watchers",
"points": 2.7,
"status": "partial",
"details": [
{
"code": "watchers",
"params": {
"count": 4
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}
],
"max_points": 15
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]
},
{
"key": "community_health",
"band": "excellent",
"name": "Community health",
"note": null,
"notes": [],
"value": 86,
"inputs": {
"has_readme": true,
"has_license": true,
"has_contributing": true,
"has_issue_template": false,
"has_code_of_conduct": true,
"has_pull_request_template": true
},
"components": [
{
"key": "readme",
"name": "README",
"detail": null,
"points": 22.5,
"status": "met",
"details": [],
"max_points": 22.5
},
{
"key": "license",
"name": "License",
"detail": "license file present, not a recognized license",
"points": 16.9,
"status": "partial",
"details": [
{
"code": "license_custom",
"params": {}
}
],
"max_points": 22.5
},
{
"key": "contributing_guide",
"name": "CONTRIBUTING guide",
"detail": null,
"points": 18,
"status": "met",
"details": [],
"max_points": 18
},
{
"key": "code_of_conduct",
"name": "Code of conduct",
"detail": null,
"points": 13.5,
"status": "met",
"details": [],
"max_points": 13.5
},
{
"key": "issue_template",
"name": "Issue template",
"detail": null,
"points": 0,
"status": "missed",
"details": [],
"max_points": 7.2
},
{
"key": "pr_template",
"name": "PR template",
"detail": null,
"points": 6.3,
"status": "met",
"details": [],
"max_points": 6.3
}
]
},
{
"key": "ecosystem_adoption",
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"name": "Ecosystem adoption (downloads)",
"note": "Excluded from scoring (no data or not applicable): Registry dependents. Remaining weights renormalized.",
"notes": [
{
"code": "excluded_no_data",
"params": {
"components": [
"registry_dependents"
]
}
},
{
"code": "weights_renormalized",
"params": {}
}
],
"value": 56,
"inputs": {
"packages": [
"hypermnesia-mcp"
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"dependents": null,
"ecosystems": "pypi",
"total_downloads": null,
"monthly_downloads": 2447
},
"components": [
{
"key": "monthly_downloads",
"name": "Monthly downloads",
"detail": "2,447 downloads/month across pypi",
"points": 45.2,
"status": "partial",
"details": [
{
"code": "downloads_monthly",
"params": {
"count": 2447,
"ecosystems": "pypi"
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}
],
"max_points": 80
},
{
"key": "registry_dependents",
"name": "Registry dependents",
"detail": "not reported by this ecosystem",
"points": 0,
"status": "excluded",
"details": [
{
"code": "not_reported_by_this_ecosystem",
"params": {}
}
],
"max_points": 20
}
]
}
],
"description": "Does the project have users, downloads, attention, and a welcoming setup for contributors?"
},
{
"key": "governance",
"band": "moderate",
"name": "Sustainability & Governance",
"value": 58,
"weight": 0.24,
"metrics": [
{
"key": "maintainer_resilience",
"band": "critical",
"name": "Maintainer resilience (bus factor)",
"note": null,
"notes": [],
"value": 15,
"inputs": {
"bus_factor": 1,
"contributors_sampled": 4,
"top_contributor_share": 0.991
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"components": [
{
"key": "bus_factor",
"name": "Bus factor",
"detail": "1 contributor(s) cover half of all commits",
"points": 9,
"status": "partial",
"details": [
{
"code": "bus_factor",
"params": {
"count": 1
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}
],
"max_points": 54
},
{
"key": "commit_distribution",
"name": "Commit distribution",
"detail": "top contributor authored 99% of commits",
"points": 0.2,
"status": "partial",
"details": [
{
"code": "top_contributor_share",
"params": {
"share": 99
}
}
],
"max_points": 22.5
},
{
"key": "contributor_breadth",
"name": "Contributor breadth",
"detail": "4 contributors",
"points": 5.4,
"status": "partial",
"details": [
{
"code": "contributors_sampled",
"params": {
"count": 4
}
}
],
"max_points": 13.5
},
{
"key": "openssf_scorecard_contributors",
"name": "OpenSSF Scorecard: Contributors",
"detail": "project has 0 contributing companies or organizations -- score normalized to 0",
"points": 0,
"status": "missed",
"details": [],
"max_points": 10
}
]
},
{
"key": "responsiveness",
"band": "good",
"name": "Issue & PR responsiveness",
"note": null,
"notes": [],
"value": 80,
"inputs": {
"merged_prs": 86,
"open_issues": 2,
"closed_issues": 40,
"issue_closed_ratio": 0.952,
"closed_unmerged_prs": 7
},
"components": [
{
"key": "issue_resolution",
"name": "Issue resolution",
"detail": "95% of issues closed",
"points": 44.5,
"status": "partial",
"details": [
{
"code": "issues_closed_share",
"params": {
"share": 95
}
}
],
"max_points": 46.75
},
{
"key": "pr_acceptance",
"name": "PR acceptance",
"detail": "86/93 decided PRs merged",
"points": 35.4,
"status": "partial",
"details": [
{
"code": "decided_prs_merged",
"params": {
"merged": 86,
"decided": 93
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}
],
"max_points": 38.25
},
{
"key": "openssf_scorecard_code_review",
"name": "OpenSSF Scorecard: Code-Review",
"detail": "Found 0/27 approved changesets -- score normalized to 0",
"points": 0,
"status": "missed",
"details": [],
"max_points": 15
}
]
},
{
"key": "stewardship",
"band": "moderate",
"name": "Ownership & stewardship",
"note": "Excluded from scoring (no data or not applicable): Verified domain. Remaining weights renormalized.",
"notes": [
{
"code": "excluded_no_data",
"params": {
"components": [
"verified_domain"
]
}
},
{
"code": "weights_renormalized",
"params": {}
}
],
"value": 56,
"inputs": {
"followers": 26,
"owner_type": "User",
"is_verified": null,
"owner_login": "cdeust",
"public_repos": 52,
"account_age_days": 4941
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"components": [
{
"key": "ownership_backing",
"name": "Ownership backing",
"detail": "personal (user) account",
"points": 10,
"status": "partial",
"details": [
{
"code": "owner_personal",
"params": {}
}
],
"max_points": 30
},
{
"key": "verified_domain",
"name": "Verified domain",
"detail": "not applicable to user accounts",
"points": 0,
"status": "excluded",
"details": [
{
"code": "not_applicable_to_user_accounts",
"params": {}
}
],
"max_points": 20
},
{
"key": "owner_reach",
"name": "Owner reach",
"detail": "26 followers of cdeust",
"points": 10.3,
"status": "partial",
"details": [
{
"code": "owner_followers",
"params": {
"count": 26,
"login": "cdeust"
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}
],
"max_points": 25
},
{
"key": "track_record",
"name": "Track record",
"detail": "52 public repos, account ~13 yr old",
"points": 24.6,
"status": "partial",
"details": [
{
"code": "public_repos",
"params": {
"count": 52
}
},
{
"code": "account_age_years",
"params": {
"years": 13
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}
],
"max_points": 25
}
]
},
{
"key": "package_maintenance",
"band": "excellent",
"name": "Package maintenance",
"note": null,
"notes": [],
"value": 100,
"inputs": {
"packages": [
"hypermnesia-mcp"
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"ecosystems": "pypi",
"any_deprecated": false,
"min_days_since_publish": 0
},
"components": [
{
"key": "published_resolvable",
"name": "Published & resolvable",
"detail": "1 package(s) on pypi",
"points": 25,
"status": "met",
"details": [
{
"code": "packages_published",
"params": {
"count": 1,
"ecosystems": "pypi"
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}
],
"max_points": 25
},
{
"key": "publish_recency",
"name": "Publish recency",
"detail": "latest publish 0 days ago",
"points": 35,
"status": "met",
"details": [
{
"code": "publish_recency",
"params": {
"days": 0
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}
],
"max_points": 35
},
{
"key": "version_history",
"name": "Version history",
"detail": "21 published versions",
"points": 20,
"status": "met",
"details": [
{
"code": "published_versions",
"params": {
"count": 21
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}
],
"max_points": 20
},
{
"key": "not_deprecated",
"name": "Not deprecated",
"detail": "active, not deprecated or yanked",
"points": 20,
"status": "met",
"details": [
{
"code": "package_not_deprecated",
"params": {}
}
],
"max_points": 20
}
]
}
],
"description": "Will the project survive its people — bus factor, responsiveness, who backs it, and package upkeep?"
},
{
"key": "engineering",
"band": "good",
"name": "Engineering Quality",
"value": 77,
"weight": 0.2,
"metrics": [
{
"key": "engineering_practices",
"band": "moderate",
"name": "Engineering practices",
"note": null,
"notes": [],
"value": 68,
"inputs": {
"has_ci": true,
"has_tests": true,
"has_editorconfig": false,
"has_linter_config": false,
"has_precommit_config": false
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"components": [
{
"key": "ci_workflows",
"name": "CI workflows",
"detail": "4 workflow(s)",
"points": 24,
"status": "met",
"details": [
{
"code": "ci_workflows",
"params": {
"count": 4
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}
],
"max_points": 24
},
{
"key": "tests_present",
"name": "Tests present",
"detail": null,
"points": 24,
"status": "met",
"details": [],
"max_points": 24
},
{
"key": "linter_config",
"name": "Linter config",
"detail": null,
"points": 0,
"status": "missed",
"details": [],
"max_points": 16
},
{
"key": "pre_commit_hooks",
"name": "Pre-commit hooks",
"detail": null,
"points": 0,
"status": "missed",
"details": [],
"max_points": 9.6
},
{
"key": "editorconfig",
"name": ".editorconfig",
"detail": null,
"points": 0,
"status": "missed",
"details": [],
"max_points": 6.4
},
{
"key": "openssf_scorecard_ci_tests",
"name": "OpenSSF Scorecard: CI-Tests",
"detail": "19 out of 19 merged PRs checked by a CI test -- score normalized to 10",
"points": 20,
"status": "met",
"details": [],
"max_points": 20
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]
},
{
"key": "documentation",
"band": "excellent",
"name": "Documentation",
"note": null,
"notes": [],
"value": 90,
"inputs": {
"topics": [
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"anthropic",
"causal-inference",
"claude",
"claude-code",
"claude-code-plugin",
"cognitive-architecture",
"cognitive-science",
"episodic-memory",
"hopfield-network",
"llm-memory",
"long-term-memory",
"mcp-server",
"memory",
"model-context-protocol",
"neuroscience",
"persistent-memory",
"predictive-coding",
"retrieval-augmented-generation",
"vector-search"
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"has_wiki": false,
"homepage": "https://ai-architect.tools",
"has_readme": true,
"has_docs_dir": true,
"has_description": true
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"components": [
{
"key": "readme",
"name": "README",
"detail": null,
"points": 30,
"status": "met",
"details": [],
"max_points": 30
},
{
"key": "documentation_directory",
"name": "Documentation directory",
"detail": null,
"points": 25,
"status": "met",
"details": [],
"max_points": 25
},
{
"key": "documentation_homepage_site",
"name": "Documentation / homepage site",
"detail": "https://ai-architect.tools",
"points": 15,
"status": "met",
"details": [],
"max_points": 15
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{
"key": "repository_description",
"name": "Repository description",
"detail": null,
"points": 10,
"status": "met",
"details": [],
"max_points": 10
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{
"key": "topics",
"name": "Topics",
"detail": "20 topics",
"points": 10,
"status": "met",
"details": [
{
"code": "topics_count",
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"count": 20
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}
],
"max_points": 10
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{
"key": "wiki",
"name": "Wiki",
"detail": null,
"points": 0,
"status": "missed",
"details": [],
"max_points": 10
}
]
}
],
"description": "Are baseline engineering and documentation practices in place?"
},
{
"key": "security",
"band": "moderate",
"name": "Security",
"value": 55,
"weight": 0.16,
"metrics": [
{
"key": "security_posture",
"band": "moderate",
"name": "Security posture",
"note": "Excluded from scoring (no data or not applicable): Signed-Releases. Remaining weights renormalized.",
"notes": [
{
"code": "excluded_no_data",
"params": {
"components": [
"signed_releases"
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}
},
{
"code": "weights_renormalized",
"params": {}
}
],
"value": 55,
"inputs": {
"source": "openssf_scorecard",
"checks_evaluated": 17,
"scorecard_version": "v5.5.0",
"checks_inconclusive": 1,
"scorecard_aggregate": 5.5
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"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 not enabled on development/release branches",
"points": 0,
"status": "missed",
"details": [],
"max_points": 7.5
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{
"key": "ci_tests",
"name": "CI-Tests",
"detail": "19 out of 19 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 0/27 approved changesets -- score normalized to 0",
"points": 0,
"status": "missed",
"details": [],
"max_points": 7.5
},
{
"key": "contributors",
"name": "Contributors",
"detail": "project has 0 contributing companies or organizations -- score normalized to 0",
"points": 0,
"status": "missed",
"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": 2.2,
"status": "partial",
"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": "no releases found",
"points": 0,
"status": "excluded",
"details": [
{
"code": "no_data",
"params": {}
}
],
"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": "8 existing vulnerabilities detected",
"points": 1.5,
"status": "partial",
"details": [],
"max_points": 7.5
}
]
},
{
"key": "high_risk_jurisdiction_exposure",
"band": "excellent",
"name": "High-Risk Jurisdiction Exposure",
"note": "Only high-confidence self-published location evidence affects this multiplier. Ambiguous matches are review-only; country evidence is not proof of nationality, citizenship, legal registration, malicious intent, or sanctions status.",
"notes": [
{
"code": "jurisdiction_evidence_limits",
"params": {}
}
],
"value": 100,
"inputs": {
"meaning": "self-published location evidence; not nationality or citizenship",
"red_flag": false,
"exposures": [],
"policy_countries": [
"Russia",
"Iran",
"North Korea"
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"review_only_matches": 0,
"assessed_self_published_locations": 3
},
"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": 67,
"weight": 0,
"metrics": [
{
"key": "ai_agent_context",
"band": "good",
"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"
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}
},
{
"code": "weights_renormalized",
"params": {}
}
],
"value": 75,
"inputs": {
"has_llms_txt": false,
"legible_history_share": null,
"agent_instruction_files": [
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"agent_instruction_max_bytes": 5077
},
"components": [
{
"key": "agent_instructions",
"name": "Agent instructions",
"detail": "CLAUDE.md",
"points": 45,
"status": "met",
"details": [
{
"code": "file_list",
"params": {
"files": "CLAUDE.md"
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}
],
"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": "good",
"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": [
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"automated_maintenance"
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}
},
{
"code": "weights_renormalized",
"params": {}
}
],
"value": 74,
"inputs": {
"has_nix": false,
"has_tests": true,
"lockfiles": [
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}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 agregadas — PyPI.