Registro público
Informe de salud del softwareesquema 0.27.0 · métricas 1.13.0 · 2026-07-27 17:47 UTC

dcc-mcp / dcc-mcp-houdini

SideFX Houdini adapter for the DCC Model Context Protocol

PythonMIT★ 6 estrellas⑂ 0 forksdesde may 2026Ver en GitHub ↗

dcc-mcp/dcc-mcp-houdini tiene un índice de salud de 59 sobre 100, lo que lo sitúa en la banda Moderado. Su puntuación más alta es Engineering Quality (86/100) y la más baja, Community & Adoption (29/100). Se actualizó por última vez hoy. 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

DCC MCPOrganización
26 seguidores57 repositorios públicosdesde jun 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 publicaciónEtiquetas
PyPIdcc-mcp-houdini0.28.0-57hace 0 díasaidcchoudinihythonllmmcpmodel-context-protocolsidefx

Métricas por categoría

Vitalidad

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

71Bueno · 22% del índice global
Cómo se puntúa
36/36Recencia de push — último push hace 0 días
4.2/36Cadencia de commits — 6/52 semanas con commits
18/18Volumen de commits — 137 commits en el último año
0/10OpenSSF Scorecard: Maintained — project was created within the last 90 days. Please review its contents carefully
Datos de entrada utilizados
commits_last_year137
human_commit_share1
days_since_last_push0
active_weeks_last_year6
Cómo se puntúa
27/27Publica versiones — 58 versiones publicadas
36/36Recencia de las versiones — última versión hace 0 días
27/27Cadencia de publicación — una versión cada ~1,1 días
0/10OpenSSF Scorecard: Signed-Releases — Project has not signed or included provenance with any releases.
Datos de entrada utilizados
releases_count58
latest_release_tagv0.28.0
releases_from_tagsno
days_since_latest_release0
mean_days_between_releases1,1

Comunidad y Adopción

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

29Crítico · 18% del índice global
Cómo se puntúa
11.3/60Estrellas — 6 estrellas
0/25Forks — 0 forks
0/15Observadores — 0 observadores
Datos de entrada utilizados
forks0
stars6
watchers0
growth_stateunverified
growth_factor_pct100
growth_unverified_reasonno_history
Cómo se puntúa
22.5/22.5README
22.5/22.5Licencia — licencia reconocida (MIT)
0/18Guía CONTRIBUTING
0/13.5Código de conducta
0/7.2Plantilla de issues
0/6.3Plantilla de PR
Datos de entrada utilizados
has_readme
has_license
has_contributingno
has_issue_templateno
has_code_of_conductno
has_pull_request_templateno

Sostenibilidad y Gobernanza

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

56Moderado · 24% del índice global
Cómo se puntúa
9/54Factor bus — la mitad de los commits recae en 1 contribuyente(s)
0/22.5Distribución de commits — el principal contribuyente firma el 100% de los commits
1.4/13.5Amplitud de contribuyentes — 1 contribuyentes
0/10OpenSSF Scorecard: Contributors — project has 0 contributing companies or organizations -- score normalized to 0
Datos de entrada utilizados
bus_factor1
contributors_sampled1
top_contributor_share1
Cómo se puntúa
42.7/46.8Resolución de issues — 91% de issues cerradas
37/38.3Aceptación de PR — 173/179 PR decididos fusionados
0/15OpenSSF Scorecard: Code-Review — Found 0/17 approved changesets -- score normalized to 0
Datos de entrada utilizados
merged_prs173
open_issues2
closed_issues21
issue_closed_ratio0,913
closed_unmerged_prs6
Cómo se puntúa
30/30Respaldo de la propiedad — propiedad de una organización
0/20Dominio verificado
10.3/25Alcance del propietario — 26 seguidores de dcc-mcp
13.1/25Trayectoria — 57 repos públicos, cuenta de ~0 años
Datos de entrada utilizados
followers26
owner_typeOrganization
is_verified
owner_logindcc-mcp
public_repos57
account_age_days55
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 — 57 versiones en el registro
20/20No obsoleto — activo, ni obsoleto ni retirado
Datos de entrada utilizados
packagesdcc-mcp-houdini
ecosystemspypi
any_deprecatedno
min_days_since_publish0

Calidad de Ingeniería

¿Existen unas prácticas mínimas de ingeniería y documentación?

86Excelente · 20% del índice global
Cómo se puntúa
24/24Flujos de trabajo de CI — 5 flujo(s) de trabajo
24/24Pruebas presentes
16/16Configuración de linter
9.6/9.6Hooks de pre-commit
0/6.4.editorconfig
20/20OpenSSF Scorecard: CI-Tests — 17 out of 17 merged PRs checked by a CI test -- score normalized to 10
Datos de entrada utilizados
has_ci
has_tests
has_editorconfigno
has_linter_config
has_precommit_config
Cómo se puntúa
30/30README
25/25Directorio de documentación
0/15Sitio de documentación / página del proyecto
10/10Descripción del repositorio
0/10Topics
10/10Wiki
Datos de entrada utilizados
topics
has_wiki
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?

44En riesgo · 16% del índice global
Cómo se puntúa
7.5/7.5Binary-Artifacts — no binaries found in the repo
0/7.5Branch-Protection — sin datos
2.5/2.5CI-Tests — 17 out of 17 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 0/17 approved changesets -- score normalized to 0
0/2.5Contributors — project has 0 contributing companies or organizations -- score normalized to 0
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
0/7.5Maintained — project was created within the last 90 days. Please review its contents carefully
5/5Packaging — packaging workflow detected
0/5Pinned-Dependencies — dependency not pinned by hash detected -- score normalized to 0
0/5SAST — SAST tool is not run on all commits -- score normalized to 0
0/5Security-Policy — security policy file not 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
7.5/7.5Vulnerabilities — 0 existing vulnerabilities detected
Datos de entrada utilizados
sourceopenssf_scorecard
checks_evaluated17
scorecard_versionv5.5.0
checks_inconclusive1
scorecard_aggregate4,4
Excluidos de la puntuación (sin datos o no aplicable): branch_protection. 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.

65Moderado · 0% del índice global
Cómo se puntúa
45/45Instrucciones para agentes — AGENTS.md, CLAUDE.md, GEMINI.md
15/15Documentación legible por máquinas (llms.txt) — llms.txt presente
40/40Historial de commits legible — 100 de 100 commits humanos declaran su intención (asunto estructurado o cuerpo explicativo)
Datos de entrada utilizados
has_llms_txt
legible_history_share1
agent_instruction_filesAGENTS.md, CLAUDE.md, GEMINI.md
agent_instruction_max_bytes9664
Cómo se puntúa
18/18Arranque con un solo comando — justfile
22/22Pruebas automatizadas
11/11Configuración de lint / formato
0/11Verificación estática de tipos
0/10Entorno reproducible
0/10Práctica demostrada con agentes — ningún commit con autoría de agente entre los últimos 100
0/8Mantenimiento automatizado — no se observan actualizaciones automáticas de dependencias
0/10OpenSSF Scorecard: Pinned-Dependencies — dependency not pinned by hash detected -- score normalized to 0
Datos de entrada utilizados
has_nixno
has_tests
lockfiles
has_dockerfileno
typed_languageno
bootstrap_filesjustfile
has_devcontainerno
has_linter_config
typecheck_configs
agent_commit_share0
toolchain_manifests
dependency_bot_commit_share0
Cómo se puntúa
0/45Código verificable por tipos — Python sin configuración de verificación de tipos
54.8/55Tamaños de archivo manejables — 1/340 archivos fuente de más de 60 KB
Datos de entrada utilizados
primary_languagePython
largest_source_bytes107.558
source_files_sampled340
oversized_source_files1
Cómo se puntúa
0/40Esquema de API (OpenAPI/GraphQL/proto)
0/20Servidor MCP
40/40Ejemplos ejecutables — examples
Datos de entrada utilizados
example_dirsexamples
has_mcp_signalno
api_schema_files

Datos clave

6estrellas de GitHub
1contribuidores
137commits en los últimos 12 meses
0días desde el último push
58versiones publicadas
1factor bus
2issues abiertas
PyPIecosistemas de paquetes

Advertencias de recopilación de datos

  • Star history unavailable: GitHub GraphQL error: Resource not accessible by personal access token
  • deps.dev does not index pypi:dcc-mcp-houdini@0.28.0; advisories assessed against the repository dependency graph instead
  • No resolved dependencies carried a version and a supported ecosystem

Más detalle

OpenSSF Scorecard 4.4 / 10
4.4agregado

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 · 2026-07-27 17:47 UTC

10Binary-Artifactsno binaries found in the repo
n/dBranch-Protectioninternal error: error during branchesHandler.setup: internal error: some github tokens can't read classic branch protection rules: https://github.com/ossf/scorecard-action/blob/main/docs/authentication/fine-grained-auth-token.md
10CI-Tests17 out of 17 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 0/17 approved changesets -- score normalized to 0
0Contributorsproject has 0 contributing companies or organizations -- score normalized to 0
10Dangerous-Workflowno dangerous workflow patterns detected
10Dependency-Update-Toolupdate tool detected
0Fuzzingproject is not fuzzed
10Licenselicense file detected
0Maintainedproject was created within the last 90 days. Please review its contents carefully
10Packagingpackaging workflow detected
0Pinned-Dependenciesdependency not pinned by hash detected -- score normalized to 0
0SASTSAST tool is not run on all commits -- score normalized to 0
0Security-Policysecurity policy file not detected
0Signed-ReleasesProject has not signed or included provenance with any releases.
0Token-Permissionsdetected GitHub workflow tokens with excessive permissions
10Vulnerabilities0 existing vulnerabilities detected
Dependencias directas 1
RegistroPaqueteRestricción de versiónManifiesto
PyPIdcc-mcp-core>=0.19.70,<1.0.0pyproject.toml
Todas las dependencias 10

Conjunto completo de dependencias resueltas según el grafo de dependencias de GitHub: 1 paquetes directos y 9 indirectos (transitivos). El cierre transitivo es completo cuando el repositorio incluye un lockfile.

RegistroPaqueteVersiónRelación
PyPIdcc-mcp-coredirecta
PyPIpackagingindirecta
PyPIpyfakefsindirecta
PyPIpytestindirecta
PyPIpytest-asyncioindirecta
PyPIpytest-covindirecta
PyPIpytest-mockindirecta
PyPIpyyamlindirecta
PyPIrequestsindirecta
PyPIruffindirecta
Avisos de dependencias sin evaluar

El cotejo de avisos no pudo ejecutarse para este informe: No resolved dependencies carried a version and a supported ecosystem

Informe JSON sin procesar legible por máquina
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          "headline": "Merge pull request #194 from dcc-mcp/release-please--branches--main--…",
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          "headline": "Merge pull request #197 from dcc-mcp/agent/fix-live-kinefx-20260726",
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          "headline": "fix: preserve VEX context on snippet updates",
          "author_name": "Hal",
          "author_login": "loonghao",
          "committed_at": "2026-07-26T04:13:51Z",
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          "body": "Removed:\n- probe_cop_v2.py — merged into probe_cop.py (now canonical)\n- probe_ofx.py — OFX product-declined, not a repeatable gate\n- debug_cop_*.py, diagnose_ocl*.py — one-off exploration artifacts\n- run_probe_v3.py — extra variant\n- h21_probe_results_final.json — static artifact, no test consumer\n\n\n[…]\nfilled)\n- README.md — developer runbook with gateway path and JSON contract\n\nConclusion: Copernicus COP + MaterialX -> ready. OpenCL COP cook fail\non CPU-only platform -> PIP-2933 gate not yet passed.",
          "is_bot": false,
          "headline": "refactor: shrink probes/ to minimal repeatable gate (4 files)",
          "author_name": "loonghao",
          "author_login": "loonghao",
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          "body": "- Marked developer/QA only with explicit audience header\n- probe_cop_v2.py as canonical command (H21-corrected)\n- Added gateway agent execution path with JSON output contract\n- Documented side effects, cleanup procedure, and exit codes\n- Recorded H21 verified results table (11/13 pass, 2 fail)\n- Added output file reference (h21_probe_results_final.json)",
          "is_bot": false,
          "headline": "docs: rewrite probes/README.md with audience, contract, and gateway path",
          "author_name": "loonghao",
          "author_login": "loonghao",
          "committed_at": "2026-07-25T16:40:27Z",
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        },
        {
          "oid": "c53f9653a5dad2720c0ea6e9722608a9820fb757",
          "body": "- COP network: PASS — copnet + constant + null, cook=OK\n- OpenCL COP create: PASS — kernelcode parm (not kernel), kernel source set\n- OpenCL COP cook: FAIL — CPU-only OpenCL; output binding mismatch on AMD Ryzen 9\n- MaterialX op: path: PASS — mtlximage.file wired correctly\n- OpenCL devices: PASS — h\n[…]\ninstead of 'gradient' (gradient fails in copnet on H21)\n- Add 'kernelcode' as primary kernel param candidate\n- Note hou.opencl unavailability\n\nGateway diagnostic tools and final JSON results included.",
          "is_bot": false,
          "headline": "feat(PIP-2930): H21 Windows matrix filled via gateway execution",
          "author_name": "loonghao",
          "author_login": "loonghao",
          "committed_at": "2026-07-25T16:40:27Z",
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        },
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          "body": "H21.0.631 Windows GUI — 4/4 primary cells PASS:\n- COP network: copnet (CopNet category), constant+null, layer() cook ok\n- OpenCL COP: opencl (Cop category), kernelcode param, Houdini kernel DSL\n- MaterialX op: path: mtlximage.file resolves correctly\n- OpenCL devices: hgpuinfo detects Intel CPU + NVI\n[…]\nlayer.dataWindow/displayWindow (no .resolution())\n- hou.CopNode has vdb()/verb() but not cable()\n- hou.opencl module not available in H21\n\nDebug scripts retained for CopNet/OpenCL parameter discovery.",
          "is_bot": false,
          "headline": "feat: PIP-2930 H21 live probe results + API corrections",
          "author_name": "loonghao",
          "author_login": "loonghao",
          "committed_at": "2026-07-25T16:40:27Z",
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          "body": "…h verification\n\n- probe_cop.py: Full COP network create -> OpenCL COP -> MaterialX op: path\n- probe_opencl_devices.py: OpenCL device enumeration via 7 methods\n- probe_ofx.py: Safe OFX enumeration (read-only, no native code loading)\n- matrix.md: Compatibility matrix template (H21/H20.5 x OS)\n- README.md: Usage instructions\n\nScripts are syntax-verified. Actual Houdini execution pending - no Houdini\navailable in agent runtime. Designed for hython or Houdini Python shell.",
          "is_bot": false,
          "headline": "feat: PIP-2930 stage-1 HOM probe scripts for COP/OpenCL/MaterialX tec…",
          "author_name": "loonghao",
          "author_login": "loonghao",
          "committed_at": "2026-07-25T16:40:27Z",
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          "body": null,
          "is_bot": false,
          "headline": "chore: apply ruff format to fix CI format check",
          "author_name": "loonghao",
          "author_login": "loonghao",
          "committed_at": "2026-07-25T14:03:55Z",
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        },
        {
          "oid": "733b90adf97308461db17c3ba364f94ebe275291",
          "body": "- Fix F401: remove unused FrozenSet import, asdict import, and replace\n  bare 'import hou' with __import__('hou') to avoid unused-variable lint\n- Fix B904: use 'raise ... from err' in two except ImportError clauses\n- Fix E741: rename ambiguous variable 'l' to 'level'\n- Fix F821: replace string annot\n[…]\nremove unused local variable assignments in tests\n- Fix I001: reorder imports in inspect_network.py\n- Increase throttle test sleep from 0.2s to 0.5s for macOS Python 3.13\n  thread-scheduling tolerance",
          "is_bot": false,
          "headline": "fix(ci): resolve 15 ruff lint errors and macOS throttling test flakiness",
          "author_name": "loonghao",
          "author_login": "loonghao",
          "committed_at": "2026-07-25T14:03:55Z",
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        },
        {
          "oid": "941595c9033c490393a3f71d6e1b5cf192030f4a",
          "body": "Add semantic network inspection (broken inputs, orphans, cycles,\nsubgraphs, type mismatches) and auto-layout with user-position\npreservation to houdini-node-graph skill.\n\nCore module (_node_graph_inspection.py):\n- inspect_network(): Read-only semantic analysis of a parent network\n  - broken input de\n[…]\nh user-preservation\n\nTests: 31 unit tests using established FakeNode/FakeParent/Hou mock\npattern, covering inspection, layout, strategy selection, user\npreservation, skill integration, and edge cases.",
          "is_bot": false,
          "headline": "feat: semantic node graph inspection and controllable auto-layout",
          "author_name": "loonghao",
          "author_login": "loonghao",
          "committed_at": "2026-07-25T14:03:55Z",
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        },
        {
          "oid": "eefd8098765117cbd59b803ae1a1e8f282b06646",
          "body": "* feat(vex): add typed VEX workflow module for Houdini adapter\n\nAdd a safe, typed VEX creation and diagnosis workflow for Houdini\nWrangle nodes.  Hard constraints enforced throughout:\n\n- VEX snippets are set via hou.Parm.set(), never Python exec/eval\n- Client-side allowlist/deny-list validation befo\n[…]\nrangle.py and\n  validate_wrangle_parameters in validate_vex_syntax.py\n- F841: prefixed unused variables with underscore in integration test\n\n* style: ruff format -- 3 files reformatted for line-length",
          "is_bot": false,
          "headline": "feat(vex): add typed VEX workflow module for Houdini adapter",
          "author_name": "Hal",
          "author_login": "loonghao",
          "committed_at": "2026-07-25T12:50:54Z",
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        },
        {
          "oid": "19e10373cd3e1ddb48b7871e70d59843941776ba",
          "body": null,
          "is_bot": false,
          "headline": "chore(main): release 0.26.0",
          "author_name": "Hal",
          "author_login": "loonghao",
          "committed_at": "2026-07-24T14:30:52Z",
          "body_truncated": false,
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        },
        {
          "oid": "a1365204ecada4d18bcb1f4e65faeb252b75f9b4",
          "body": null,
          "is_bot": false,
          "headline": "chore(main): release 0.26.0",
          "author_name": "Hal",
          "author_login": "loonghao",
          "committed_at": "2026-07-24T07:57:51Z",
          "body_truncated": false,
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        },
        {
          "oid": "f82b7fc06f39cf21c2686018a695917af6304a91",
          "body": null,
          "is_bot": false,
          "headline": "fix: report isolated worker liveness honestly",
          "author_name": "loonghao",
          "author_login": "loonghao",
          "committed_at": "2026-07-24T07:57:26Z",
          "body_truncated": false,
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        },
        {
          "oid": "bc724c6b7b77e9c4f4f4f1ee6695e39b669bc920",
          "body": null,
          "is_bot": false,
          "headline": "feat: report durable cook elapsed time",
          "author_name": "loonghao",
          "author_login": "loonghao",
          "committed_at": "2026-07-24T07:57:26Z",
          "body_truncated": false,
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        },
        {
          "oid": "8c72b2cc1456506cbb76ca757e263b22e079e750",
          "body": null,
          "is_bot": false,
          "headline": "fix: require recoverable core release",
          "author_name": "loonghao",
          "author_login": "loonghao",
          "committed_at": "2026-07-24T07:57:26Z",
          "body_truncated": false,
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        },
        {
          "oid": "3d65ce8a2f6d534fe2de36a15c8e5d53baa63a20",
          "body": null,
          "is_bot": false,
          "headline": "fix: make long cook jobs recoverable",
          "author_name": "loonghao",
          "author_login": "loonghao",
          "committed_at": "2026-07-24T07:57:26Z",
          "body_truncated": false,
          "is_coding_agent": false
        },
        {
          "oid": "fad33db7fdebc2a10ac46124eeb6bc9e72105e86",
          "body": "Add three new shelf tools to the DCC-MCP toolbar in Houdini:\n\n- Copy Instance ID: copies the DCC-MCP instance UUID to clipboard\n  via PySide2 QApplication.clipboard(), with fallback to stdout\n- Server Info: displays detailed server status including MCP URL,\n  instance UUID, adapter/Houdini versions,\n[…]\ninfo and GitHub/docs links\n\nThe unified menu structure (Copy Instance ID / Server Info /\nAbout DCC MCP / Start MCP / Stop MCP) aligns with the parent\nPIP-2794 cross-DCC menu standardization.\n\nPIP-2796",
          "is_bot": false,
          "headline": "feat(houdini): add unified shelf menu with Copy Instance ID",
          "author_name": "loonghao",
          "author_login": "loonghao",
          "committed_at": "2026-07-24T07:57:12Z",
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          "is_coding_agent": false
        },
        {
          "oid": "8e99d7355d86e406c1d5cf741354ce8f0f87846f",
          "body": "* feat(render): wire multi-frame ROP into core chunked main-affinity runner\n\nAdd per-frame chunked ROP execution via dcc_mcp_core.chunked_runner.\nEach frame is a single bounded step — UI stays interactive, cancellation\nis observable at checkpoints, and only partial outputs are reported on\ncancel.\n\n-\n[…]\nre: bump dcc-mcp-core floor to 0.19.68 across all docs\n\nPropagate the pyproject.toml min-version bump to packaging scripts,\nREADME, and all 30 SKILL.md compatibility strings.\n\nRefs: Houdini issue #103",
          "is_bot": false,
          "headline": "feat(render): wire multi-frame ROP render into core ChunkedRunner",
          "author_name": "Hal",
          "author_login": "loonghao",
          "committed_at": "2026-07-23T14:31:08Z",
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        },
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          "oid": "a03e781d3217486e61ca8ea62a2f19ad8164e3b0",
          "body": null,
          "is_bot": false,
          "headline": "style: format host pump tests",
          "author_name": "loonghao",
          "author_login": "loonghao",
          "committed_at": "2026-07-23T09:01:17Z",
          "body_truncated": false,
          "is_coding_agent": false
        },
        {
          "oid": "e55c5bbe67c563dbb8f24637c400396781ab2096",
          "body": "When the pre_drain_check returns False or raises an exception in\nHoudiniEventLoopTimerAdapter._callback(), the method returned without\nresetting _next_due from its inf sentinel (set on entry at line 67).\nThis left the pump permanently wedged — every subsequent event-loop\ninvocation hit the 'now < _n\n[…]\nng, so the pump retries on the next tick instead of\nhanging forever.\n\nAdds two regression tests:\n- test_pre_drain_check_failure_does_not_wedge_pump\n- test_pre_drain_check_exception_does_not_wedge_pump",
          "is_bot": false,
          "headline": "fix: prevent pump wedge when pre_drain_check fails or raises",
          "author_name": "loonghao",
          "author_login": "loonghao",
          "committed_at": "2026-07-23T09:01:17Z",
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        },
        {
          "oid": "8eae3ead3bfc8cd7df6ee6fd0327b46cd5daeb7b",
          "body": "Add defense-in-depth layers to prevent native SIGSEGV when\nDCC-MCP pump drain evaluates hou.Parm objects whose backing\nHOM nodes have been freed:\n\n1. host.py: Pre-drain scene validity check\n   - HoudiniEventLoopTimerAdapter accepts optional pre_drain_check\n   - _callback() skips tick when hou.node('\n[…]\non Houdini single-threaded UI loop\n   - Read-only probes individually guarded by _safe()\n\n4. Skill scripts: All 7 scripts using parm.eval() now call safe_parm_eval()\n\nRefs: PIP-2826, GitHub issue #181",
          "is_bot": false,
          "headline": "fix: guard parm.eval() against SIGSEGV on deleted Houdini nodes",
          "author_name": "loonghao",
          "author_login": "loonghao",
          "committed_at": "2026-07-23T09:01:17Z",
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        {
          "oid": "a8dec558e1d994380aa23d5763a4d9bf68bec8a3",
          "body": null,
          "is_bot": false,
          "headline": "fix: include import skill in interchange stage (#184)",
          "author_name": "Hal",
          "author_login": "loonghao",
          "committed_at": "2026-07-23T08:30:43Z",
          "body_truncated": false,
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        {
          "oid": "e7ac9a4bd67f3a7de79f21fd7bf2fd013eea7d96",
          "body": null,
          "is_bot": false,
          "headline": "fix(render): preserve Solaris fallback fields (#186)",
          "author_name": "Hal",
          "author_login": "loonghao",
          "committed_at": "2026-07-23T08:30:40Z",
          "body_truncated": false,
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        },
        {
          "oid": "2ab9860d4d45dfd2552ba510d12b73ef514d6418",
          "body": null,
          "is_bot": false,
          "headline": "fix(render): resolve effective Solaris settings",
          "author_name": "loonghao",
          "author_login": "loonghao",
          "committed_at": "2026-07-23T08:19:46Z",
          "body_truncated": false,
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        },
        {
          "oid": "edba5d383d5f5e6eabb305fe25e65a8f91d24693",
          "body": "Resolves CI Lint and Skill Metadata failure on PR #179.\n- Consolidated typing imports in _flipbook_chunked.py\n- Removed unused import hou from _render_single_frame\n- Removed unused imports from flipbook.py (_collected_written_files,\n  _glob_outputs, _normalize_frame_range, _skipped_frames, glob)\n- ruff format applied",
          "is_bot": false,
          "headline": "fix: ruff check --fix import sorting and unused imports",
          "author_name": "loonghao",
          "author_login": "loonghao",
          "committed_at": "2026-07-21T18:58:00Z",
          "body_truncated": false,
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        },
        {
          "oid": "7f9603c6b36f9994b729c6c9d3e9967954f04127",
          "body": "Replace the non-cancellable viewer.flipbook() call with a per-frame\nchunked runner that wraps the ChunkedRunner contract from dcc-mcp-core.\n\nKey changes:\n- New _flipbook_chunked.py: embedded ChunkedRunner (pending next core\n  release) with frame-by-frame flipbook steps, job registry, and\n  progress/\n[…]\n executes one viewer.flipbook() call per frame on the main\nthread, checks cancellation before each step, publishes progress\nmonotonically, and reports partial written_files + skipped_frames on\ncancel.",
          "is_bot": false,
          "headline": "PIP-2790: Convert viewport flipbook to bounded frame chunks",
          "author_name": "loonghao",
          "author_login": "loonghao",
          "committed_at": "2026-07-21T18:58:00Z",
          "body_truncated": true,
          "is_coding_agent": false
        },
        {
          "oid": "076034d2c7d00805a57759f8b154d3d44378ff9b",
          "body": null,
          "is_bot": false,
          "headline": "chore(main): release 0.25.0 (#176)",
          "author_name": "Hal",
          "author_login": "loonghao",
          "committed_at": "2026-07-20T07:33:00Z",
          "body_truncated": false,
          "is_coding_agent": false
        },
        {
          "oid": "780ff5719680fa03fb733eab1f4194602ec9a8e5",
          "body": null,
          "is_bot": false,
          "headline": "fix(render): shorten atomic status temp paths (#178)",
          "author_name": "Hal",
          "author_login": "loonghao",
          "committed_at": "2026-07-20T07:27:31Z",
          "body_truncated": false,
          "is_coding_agent": false
        },
        {
          "oid": "1692501d19dc4b89cd95af3a2d756291ea06c8e2",
          "body": "… (#177)\n\n* feat(render): add staged no-clobber publication for isolated ROP jobs\n\n* fix(render): harden artifact transaction finalization\n\n* fix(render): scope artifact finalization locks per job\n\n* fix(render): retry transient Windows status sharing errors\n\n* fix(render): share status I/O and preserve ambiguous finals\n\n* fix(render): classify post-publication validation failures",
          "is_bot": false,
          "headline": "feat(render): add staged no-clobber publication for isolated ROP jobs…",
          "author_name": "Hal",
          "author_login": "loonghao",
          "committed_at": "2026-07-20T04:10:06Z",
          "body_truncated": false,
          "is_coding_agent": false
        },
        {
          "oid": "463f89857836c944874017e9ae1c358395c115ae",
          "body": null,
          "is_bot": false,
          "headline": "feat(render): expose raw output path pattern (#175)",
          "author_name": "Hal",
          "author_login": "loonghao",
          "committed_at": "2026-07-19T22:20:36Z",
          "body_truncated": false,
          "is_coding_agent": false
        },
        {
          "oid": "c5053aadc8f75376e45cd8e9f4ecc37201a96687",
          "body": null,
          "is_bot": false,
          "headline": "chore(main): release 0.24.1 (#171)",
          "author_name": "Hal",
          "author_login": "loonghao",
          "committed_at": "2026-07-19T14:14:00Z",
          "body_truncated": false,
          "is_coding_agent": false
        },
        {
          "oid": "84c09493ba3e802a468ae8e11cad9cffe84bf063",
          "body": null,
          "is_bot": false,
          "headline": "fix(scene): report object visibility and renderability (#174)",
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                "key": "verified_domain",
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                "key": "owner_reach",
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                "key": "track_record",
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                      "count": 57
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                    "code": "account_age_years",
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            "key": "package_maintenance",
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              "ecosystems": "pypi",
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                "key": "published_resolvable",
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                "key": "publish_recency",
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                "key": "version_history",
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                "key": "not_deprecated",
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        ],
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                "key": "ci_workflows",
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                "key": "tests_present",
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                "key": "openssf_scorecard_ci_tests",
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        ],
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                "key": "dependency_update_tool",
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                "key": "fuzzing",
                "name": "Fuzzing",
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              },
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                "key": "maintained",
                "name": "Maintained",
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                "key": "packaging",
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                "key": "signed_releases",
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                "key": "vulnerabilities",
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          },
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        ],
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                "key": "machine_readable_docs_llms_txt",
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                "key": "automated_tests",
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                "key": "reproducible_environment",
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                "key": "demonstrated_agent_practice",
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                "points": 0,
                "status": "missed",
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                      "sampled": 100
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                ],
                "max_points": 10
              },
              {
                "key": "automated_maintenance",
                "name": "Automated maintenance",
                "detail": "no automated dependency updates observed",
                "points": 0,
                "status": "missed",
                "details": [
                  {
                    "code": "no_dependency_automation",
                    "params": {}
                  }
                ],
                "max_points": 8
              },
              {
                "key": "openssf_scorecard_pinned_dependencies",
                "name": "OpenSSF Scorecard: Pinned-Dependencies",
                "detail": "dependency not pinned by hash detected -- score normalized to 0",
                "points": 0,
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                "details": [],
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            ]
          },
          {
            "key": "ai_code_legibility",
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            "name": "Code legibility for models",
            "note": null,
            "notes": [],
            "value": 55,
            "inputs": {
              "primary_language": "Python",
              "largest_source_bytes": 107558,
              "source_files_sampled": 340,
              "oversized_source_files": 1
            },
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                "name": "Type-checkable code",
                "detail": "Python without a type-check config",
                "points": 0,
                "status": "missed",
                "details": [
                  {
                    "code": "no_typecheck_config_language",
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                      "language": "Python"
                    }
                  }
                ],
                "max_points": 45
              },
              {
                "key": "manageable_file_sizes",
                "name": "Manageable file sizes",
                "detail": "1/340 source files over 60KB",
                "points": 54.8,
                "status": "partial",
                "details": [
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                      "oversized": 1
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                ],
                "max_points": 55
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            ]
          },
          {
            "key": "ai_interfaces",
            "band": "at_risk",
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            "note": null,
            "notes": [],
            "value": 40,
            "inputs": {
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              "has_mcp_signal": false,
              "api_schema_files": []
            },
            "components": [
              {
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                "name": "API schema (OpenAPI/GraphQL/proto)",
                "detail": null,
                "points": 0,
                "status": "missed",
                "details": [],
                "max_points": 40
              },
              {
                "key": "mcp_server",
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                "points": 0,
                "status": "missed",
                "details": [],
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              },
              {
                "key": "runnable_examples",
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                "detail": "examples",
                "points": 40,
                "status": "met",
                "details": [
                  {
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              }
            ]
          }
        ],
        "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": [
    "Star history unavailable: GitHub GraphQL error: Resource not accessible by personal access token",
    "deps.dev does not index pypi:dcc-mcp-houdini@0.28.0; advisories assessed against the repository dependency graph instead",
    "No resolved dependencies carried a version and a supported ecosystem"
  ],
  "report_type": "repository",
  "generated_at": "2026-07-27T17:47:27.067361Z",
  "schema_version": "0.27.0",
  "badge_url": "https://raw.githubusercontent.com/inspect-software/badges/main/v1/d/dcc-mcp/dcc-mcp-houdini.svg",
  "full_name": "dcc-mcp/dcc-mcp-houdini",
  "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 v0.27.0 — metodología completa · wiki de métricas.

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