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.
Остановитесь и запросите подтверждение перед установкой.
Проверьте план и получите явное согласие пользователя перед изменением файлов.
Установить с помощью моего Агента
Скопируйте этот запрос в своего Агента. Он содержит каноническую страницу Skill и манифест.
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.Ваш Агент по-прежнему должен показать план и запросить все подтверждения, требуемые политикой безопасности.
Ресурсы для AI-агентов
Используйте эти ссылки, когда AI-агенту, crawler или script нужен чистый контекст вместо полной страницы.
Протестировать
Использование «jsonlogic». Create a discount eligibility rule for loyalty members who spent more than 100.
Ожидаемый результат:
Eligibility requires loyalty membership and spending above 100. Spending exactly 100 does not qualify. Define missing-field handling before testing.
Использование «jsonlogic». Explain why an order rule flags an item priced at 620 when the threshold is 500.
Ожидаемый результат:
The rule checks each item and succeeds when any price exceeds 500. An item priced at 620 qualifies. An empty item list returns false.
Использование «jsonlogic». Does passing structural validation prove that my rule works in both JavaScript and Ruby?
Ожидаемый результат:
No. Structural validation checks rule shape only. Execute identical boundary, missing-field, and type cases in both libraries before claiming matching behavior.
Аудит безопасности
Высокий рискOf 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.
Подтверждённые проблемы безопасности (2)
Пункты проверки возможностей (2)
Это реальные локальные возможности, которые могут ожидаться для этого навыка, поэтому они требуют проверки, но не считаются подтверждённым вредоносным поведением.
Факторы риска
🌐 Доступ к сети (15)
📁 Доступ к файловой системе (17)
⚙️ Внешние команды (30)
⚡ Содержит скрипты (50)
Поделиться и цитировать этот отчет
Делитесь версионным отчетом об оценке, нейтральным значком, встраиваемой карточкой и цитатами. Skillstore публикует доказательства, не решая, безопасен ли этот Skill.
Копировать ссылку на отчёт
https://skillstore.io/skills/valeryia-piatrova-jsonlogic/audits/1?utm_source=security_passport&utm_medium=share&utm_campaign=versioned_reportЗначок Markdown
[](https://skillstore.io/skills/valeryia-piatrova-jsonlogic?utm_source=security_passport_badge)Значок 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>Встраиваемая карточка
<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>Академические ссылки (APA · BibTeX · CFF)
Цитата APA
valeryia-piatrova. (2026). jsonlogic security audit report (audit version 1) [Author version unspecified]. Skillstore. https://skillstore.io/skills/valeryia-piatrova-jsonlogic/audits/1Цитата 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"
Оценка Skillstore
Почему такая оценка Достоверность доказательств: СреднийЧто вы можете построить
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.
Попробуйте эти промпты
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.
Лучшие практики
- 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.
Избегать
- 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.
Часто задаваемые вопросы
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?
Сведения для разработчиков
Автор
valeryia-piatrovaЛицензия
MIT
Ревизия Skillstore
r1
Примечание о версии
Автор не указал версию.
Репозиторий
https://github.com/valeryia-piatrova/jsonlogic-skill/tree/19c9ebeb6ae5bf9406d0a39f32a24b60b77738ff/Ссылка
c7a30fd4df735cc64b379eb7df86db9e58f0193d
Актуальность поддержки
01.10.2026
Использование
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