jsonlogic
Build and Test JsonLogic Business Rules
Business conditions can produce unexpected results when field names, missing values, or library behavior differ. This skill builds JsonLogic rules and guides targeted verification.
Detente y solicita confirmación antes de instalar.
Revisa el plan y obtén el consentimiento explícito del usuario antes de modificar archivos.
Instalar con mi Agente
Copia esta solicitud en tu Agente. Incluye la página canónica del Skill y el manifiesto.
Review the Skillstore skill "jsonlogic" from https://skillstore.io/skills/valeryia-piatrova-jsonlogic.md and its manifest at https://skillstore.io/api/skills/valeryia-piatrova-jsonlogic/manifest. Verify the artifact. Stop and obtain explicit user consent before installing or changing files.Tu Agente debe seguir mostrando su plan y solicitar cualquier confirmación exigida por la política de seguridad.
Recursos legibles por agentes
Usa estos enlaces cuando un agente de IA, crawler o script necesite contexto limpio en vez de leer la página completa.
Pruébalo
Usando "jsonlogic". Create a discount eligibility rule for loyalty members who spent more than 100.
Resultado esperado:
Eligibility requires loyalty membership and spending above 100. Spending exactly 100 does not qualify. Define missing-field handling before testing.
Usando "jsonlogic". Explain why an order rule flags an item priced at 620 when the threshold is 500.
Resultado esperado:
The rule checks each item and succeeds when any price exceeds 500. An item priced at 620 qualifies. An empty item list returns false.
Usando "jsonlogic". Does passing structural validation prove that my rule works in both JavaScript and Ruby?
Resultado esperado:
No. Structural validation checks rule shape only. Execute identical boundary, missing-field, and type cases in both libraries before claiming matching behavior.
Auditoría de seguridad
Riesgo altoOf 372 static findings, 370 are false positives and two confirm automatic installation of an unpinned Ruby dependency. Additional findings concern artifact publication without consent and unsafe JSON embedding in HTML. No evidence found of credential theft or instructions to override this audit.
Preocupaciones de seguridad confirmadas (2)
Elementos de revisión de capacidades (2)
Estas son capacidades locales reales que pueden esperarse para esta habilidad, por lo que requieren revisión, pero no se cuentan como comportamiento malicioso confirmado.
Factores de riesgo
🌐 Acceso a red (15)
📁 Acceso al sistema de archivos (17)
⚙️ Comandos externos (30)
⚡ Contiene scripts (50)
Compartir y citar este informe
Comparte el informe de evaluación versionado, la insignia neutral, la tarjeta insertable y las citas. Skillstore presenta evidencias sin decidir si este Skill es seguro.
Copiar enlace del informe
https://skillstore.io/skills/valeryia-piatrova-jsonlogic/audits/1?utm_source=security_passport&utm_medium=share&utm_campaign=versioned_reportInsignia Markdown
[](https://skillstore.io/skills/valeryia-piatrova-jsonlogic?utm_source=security_passport_badge)Insignia HTML
<a href="https://skillstore.io/skills/valeryia-piatrova-jsonlogic?utm_source=security_passport_badge"><img src="https://skillstore.io/badges/skills/valeryia-piatrova-jsonlogic/security.svg" alt="Skillstore security assessment" loading="lazy"></a>Tarjeta para insertar
<iframe src="https://skillstore.io/embed/skills/valeryia-piatrova-jsonlogic.html" title="Skillstore Security Assessment" sandbox="allow-popups allow-popups-to-escape-sandbox" loading="lazy" referrerpolicy="no-referrer" width="420" height="180"></iframe>Citas académicas (APA · BibTeX · CFF)
Cita APA
valeryia-piatrova. (2026). jsonlogic security audit report (audit version 1) [Author version unspecified]. Skillstore. https://skillstore.io/skills/valeryia-piatrova-jsonlogic/audits/1Cita BibTeX
@techreport{valeryia-piatrova-valeryia-piatrova-jsonlogic-2026,
author = {valeryia-piatrova},
title = {jsonlogic security audit report (audit version 1)},
institution = {Skillstore},
year = {2026},
number = {1},
url = {https://skillstore.io/skills/valeryia-piatrova-jsonlogic/audits/1},
note = {Author version unspecified}
}CITATION.cff
cff-version: 1.2.0
message: "If you use this Skill, cite its author and this versioned security audit report."
title: "jsonlogic security audit report (audit version 1)"
version: "unspecified"
type: report
authors:
- name: "valeryia-piatrova"
date-released: "2026-10-01"
url: "https://skillstore.io/skills/valeryia-piatrova-jsonlogic/audits/1"
identifiers:
- type: other
value: "skillstore:valeryia-piatrova-jsonlogic:audit:1"
description: "Skillstore immutable audit report identifier"
Puntuación de Skillstore
Por qué esta puntuación Confianza de la evidencia: MedioLo que puedes crear
Encode Eligibility Conditions
Turn product requirements into explicit rules with documented inputs, outputs, and missing-field behavior.
Debug Application Rules
Reproduce unexpected results, identify coercion or operator issues, and verify corrections against representative data.
Compare Rule Implementations
Test identical inputs across frontend and backend libraries to identify unsupported operators and behavior differences.
Prueba estos prompts
Explain this JsonLogic rule: [rule]. Describe each operator, required fields, returned values, and missing-field behavior. Do not publish an artifact.
Create a JsonLogic rule for [condition] using [schema or synthetic sample]. Explain assumptions and expected outcomes. Keep all data local.
Debug [rule] with [synthetic input] in [library and version]. Expected: [result]. Add boundary tests and request permission before installing dependencies or publishing.
Compare [rule] in [library A] and [library B] using identical synthetic cases. Cover missing values, coercion, and empty arrays. Separate observed from unverified results.
Mejores prácticas
- Provide a schema or synthetic sample and specify the target library and version.
- Test normal cases, exact boundaries, missing fields, unexpected types, and empty arrays in the actual evaluator.
- Use redacted inputs and explicitly approve dependency installation or artifact publication before either occurs.
Evitar
- Treating structural validation or a playground result as proof of production correctness.
- Assuming all libraries support the same extensions, truthiness rules, and type coercion.
- Providing secrets or production records for automatic artifact publication.
Preguntas frecuentes
What is JsonLogic?
Which AI tools can use this skill?
Which evaluator is used by default?
Can it validate rules without executing them?
Does the playground match every library?
Does using the skill require network access?
Detalles del desarrollador
Autor
valeryia-piatrovaLicencia
MIT
Revisión de Skillstore
r1
Aviso de versión
El autor no declaró una versión.
Repositorio
https://github.com/valeryia-piatrova/jsonlogic-skill/tree/19c9ebeb6ae5bf9406d0a39f32a24b60b77738ff/Ref.
c7a30fd4df735cc64b379eb7df86db9e58f0193d
Actualidad del mantenimiento
1/10/2026
Uso
0 descargas · 0 vistas