thoughtbot/opentelemetry-instrumentation-ruby_llm tiene un índice de salud de 69 sobre 100, lo que lo sitúa en la banda Bueno. Su puntuación más alta es Vitality (80/100) y la más baja, AI Readiness (36/100). Se actualizó por última vez hoy. Una sola persona concentra la mayor parte del trabajo reciente.
69
global / 100
Bueno
Índice de salud del software
Las métricas se agrupan en categorías ponderadas sobre una escala estandarizada de 1 a 100. El resultado global parte de su media ponderada, calibrada contra la distribución del registro público para que las bandas tengan significado percentil; cuando la evidencia pública activa la Política de Jurisdicciones de Alto Riesgo, la calificación se ajusta y recibe un límite «En riesgo» de 34.
69
Excepcional93-100El nivel más alto del registro (≈ el 5% superior); cumple prácticamente todos los criterios evaluados
Excelente80-92Sólido en todos los frentes; carencias menores
Bueno65-79Saludable; carencias limitadas y manejables
Moderado50-64Aceptable con carencias notables; se recomienda revisión
Débil35-49Debilidades sustanciales en varias áreas
En riesgo20-34Debilidades significativas; su adopción exige cautela
Crítico1-19Problemas 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.
El resultado global ponderado 62 se calibra a 69 en la escala publicada del índice (calibración del registro 2026-08-02).
¿Hasta qué punto está el repositorio preparado para desarrollarse y mantenerse con agentes de codificación de IA? Tiene un peso deliberadamente pequeño (4%): las herramientas para agentes son una señal real de mantenimiento, pero un repositorio sin ninguna puede alcanzar igualmente 100/100.
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Más detalle
Historial de estrellas y forks 0 ★ / 8 ⇿
0Estrellas
8Forks
4Versiones
Cuándo se añadió cada estrella y fork, recopilado de GitHub y agrupado por día. El crecimiento acumulado se sitúa justo encima de las adiciones diarias que lo componen, de modo que ambos se leen en conjunto: la acumulación orgánica sostenida no se parece en nada a un pico abrupto y efímero. Cuando esa diferencia es medible, se informa como autenticidad del crecimiento.
Mayor 0Menor 4Parche 0
OpenSSF Scorecard 5.0 / 10
5.0agregado
Evaluación de seguridad independiente y agnóstica en cuanto a herramientas, procedente del proyecto de código abierto OpenSSF Scorecard. Cada comprobación premia una práctica de seguridad, no la herramienta de un proveedor concreto. Las comprobaciones que Scorecard no pudo determinar se marcan como n/d y se excluyen de la puntuación de seguridad (nunca se cuentan como cero).Scorecard v5.5.0 · 2026-07-31 19:24 UTC
No fue posible recopilar el conjunto de dependencias resuelto para este informe: GitHub dependency-graph SBOM unavailable (404); the dependency graph may be disabled for this repository
Informe JSON sin procesar legible por máquina
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"headline": "Document conversation and user tracking via with_otel_attributes (#28)",
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"headline": "Add `with_otel_attributes` for custom observation attributes (#21)",
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"headline": "Relax Ruby version requirement from 3.2.0 to 3.1.3 (#19)",
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"body": "Instrument the embeddings endpoint following the OpenTelemetry GenAI\nsemantic conventions for embedding spans. The patch is applied via\nsingleton_class.prepend on RubyLLM::Embedding, wrapping the class-level\nembed method with a CLIENT span.\n\nSpan attributes:\n- gen_ai.operation.name: \"embeddings\"\n- g\n[…]\n\n\nTests cover span creation with all attributes, error recording on\nAPI failure, and resilience when instrumentation itself fails.\n\nCo-authored-by: Claude Opus 4.6 (1M context) <noreply@anthropic.com>",
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"headline": "Add instrumentation for RubyLLM::Embedding.embed (#17)",
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"body": "RubyLLM's Rails/ActiveRecord integration (acts_as_chat) defines its own\nask method that calls RubyLLM::Chat#complete directly, bypassing the\ninstrumentation's patched #ask method. By instrumenting #complete instead,\nall LLM API calls are captured regardless of the entry point.\n\nThis also means tool \n[…]\n ask loop, giving better\nvisibility into each individual LLM request.\n\nCloses thoughtbot/opentelemetry-instrumentation-ruby_llm#15\n\nCo-authored-by: Claude Opus 4.6 (1M context) <noreply@anthropic.com>",
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"headline": "Instrument complete instead of ask (#16)",
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"headline": "Update chat.rb interface",
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"headline": "Bump version to 0.2.0",
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"headline": "Untrack Gemfile.lock",
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"body": "Support capturing gen_ai.system_instructions, gen_ai.input.messages and\ngen_ai.output.messages via capture_content config option or\nOTEL_INSTRUMENTATION_GENAI_CAPTURE_MESSAGE_CONTENT env var. Content is\nnot captured by default.",
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"headline": "Add opt-in content capture for messages and system instructions",
"author_name": "Clarissa Borges",
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"body": "The inner rescue now wraps only the super call, so instrumentation bugs\ndon't get misrecorded as API errors on the span.",
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"headline": "Update README to include planned custom attributes",
"author_name": "Clarissa Borges",
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"points": 0,
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"details": [
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}
],
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]
},
{
"key": "community_health",
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"note": null,
"notes": [],
"value": 65,
"inputs": {
"has_readme": true,
"has_license": true,
"readme_badges": null,
"has_contributing": false,
"has_issue_template": false,
"has_code_of_conduct": true,
"readme_badge_services": [],
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"components": [
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"key": "readme",
"name": "README",
"detail": null,
"points": 22.5,
"status": "met",
"details": [],
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},
{
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"points": 22.5,
"status": "met",
"details": [
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"code": "license_standard",
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},
{
"code": "license_spdx",
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}
],
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{
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"status": "missed",
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},
{
"key": "code_of_conduct",
"name": "Code of conduct",
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{
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}
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{
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],
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{
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"status": "partial",
"details": [],
"max_points": 10
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]
},
{
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{
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"components": [
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"points": 21,
"status": "partial",
"details": [
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"code": "issues_closed_share",
"params": {
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}
],
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{
"key": "pr_acceptance",
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"details": [
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}
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{
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{
"key": "openssf_scorecard_code_review",
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"status": "partial",
"details": [],
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]
},
{
"key": "stewardship",
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"name": "Ownership & stewardship",
"note": null,
"notes": [],
"value": 76,
"inputs": {
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"owner_type": "Organization",
"is_verified": null,
"owner_login": "thoughtbot",
"public_repos": 469,
"account_age_days": 6686
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"components": [
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"key": "ownership_backing",
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"details": [
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"code": "owner_organization",
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{
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"points": 0,
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{
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{
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{
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"note": null,
"notes": [],
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"inputs": {
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{
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{
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{
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}
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{
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"name": "Engineering Quality",
"value": 65,
"weight": 0.19,
"metrics": [
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"key": "engineering_practices",
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"notes": [],
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{
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"points": 24,
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{
"key": "linter_config",
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{
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{
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]
},
{
"key": "documentation",
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"notes": [],
"value": 60,
"inputs": {
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"key": "readme",
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{
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]
}
],
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{
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"weight": 0.16,
"metrics": [
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{
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{
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{
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{
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{
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{
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{
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"components": [
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],
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"components": [
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]
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"components": [
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Los datos ausentes se excluyen y los pesos se renormalizan; nunca se puntúan como cero. La metodología es versionada y abierta: métricas v2.5.0, esquema v0.27.0 — metodología completa · wiki de métricas.
