extension-oql
Expose Canister Data Through OQL
Structured canister data is difficult for intelligence agents to query safely. This skill adds OQL entities, schema discovery, query execution, relationships, and per-entity authorization.
Instalar con mi Agente
Copia esta solicitud en tu Agente. Incluye la página canónica del Skill y el manifiesto.
Review the Skillstore skill "extension-oql" from https://skillstore.io/skills/caffeinelabs-extension-oql.md and its manifest at https://skillstore.io/api/skills/caffeinelabs-extension-oql/manifest. Verify the artifact. You may proceed after verification, subject to the environment's own policy.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 "extension-oql". Expose a products map while keeping access limited to controllers.
Resultado esperado:
- Added a product entity with its identifier as the primary key.
- Kept controller-only authorization and added an empty-state schema sample.
- Registered schema discovery and query execution through the Expose mixin.
Usando "extension-oql". Make private notes queryable by each note owner.
Resultado esperado:
- Tagged the owner principal as the row owner.
- Applied user-scoped authorization so each caller receives only owned notes.
- Kept ownership available during joins to prevent cross-user traversal.
Usando "extension-oql". Connect products and vendors through a supplies collection.
Resultado esperado:
- Created a manual supply entity from map entries.
- Promoted product and vendor identifiers into queryable fields.
- Linked both identifiers to their target entities for relationship traversal.
Auditoría de seguridad
SeguroAll 115 static findings are false positives caused by Markdown code formatting, Motoko examples, a fixed Mops setup command, the `keys()` method, and sample records. SKILL.md contains no shell backtick execution, key-file access, system reconnaissance, prompt injection, or data-exfiltration intent. It documents explicit per-entity authorization and warns developers to choose access levels carefully.
Factores de riesgo
⚙️ Comandos externos (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/caffeinelabs-extension-oql/audits/1?utm_source=security_passport&utm_medium=share&utm_campaign=versioned_reportInsignia Markdown
[](https://skillstore.io/skills/caffeinelabs-extension-oql?utm_source=security_passport_badge)Insignia HTML
<a href="https://skillstore.io/skills/caffeinelabs-extension-oql?utm_source=security_passport_badge"><img src="https://skillstore.io/badges/skills/caffeinelabs-extension-oql/security.svg" alt="Skillstore security assessment" loading="lazy"></a>Tarjeta para insertar
<iframe src="https://skillstore.io/embed/skills/caffeinelabs-extension-oql.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
caffeinelabs. (2026). extension-oql security audit report (audit version 1) [Author version 0.4.0]. Skillstore. https://skillstore.io/skills/caffeinelabs-extension-oql/audits/1Cita BibTeX
@techreport{caffeinelabs-caffeinelabs-extension-oql-2026,
author = {caffeinelabs},
title = {extension-oql security audit report (audit version 1)},
institution = {Skillstore},
year = {2026},
number = {1},
url = {https://skillstore.io/skills/caffeinelabs-extension-oql/audits/1},
note = {Author version 0.4.0}
}CITATION.cff
cff-version: 1.2.0
message: "If you use this Skill, cite its author and this versioned security audit report."
title: "extension-oql security audit report (audit version 1)"
version: "0.4.0"
type: report
authors:
- name: "caffeinelabs"
date-released: "2026-07-23"
url: "https://skillstore.io/skills/caffeinelabs-extension-oql/audits/1"
identifiers:
- type: other
value: "skillstore:caffeinelabs-extension-oql:audit:1"
description: "Skillstore immutable audit report identifier"
Puntuación de Skillstore
Por qué esta puntuación Confianza de la evidencia: MedioLo que puedes crear
Add Canister Analytics
Expose product, customer, or project collections for natural-language questions and aggregate analysis.
Protect User-Scoped Queries
Apply owner fields and scoped authorization so signed-in users receive only permitted rows.
Model Complex Relationships
Create edges, junction entities, flattened records, and computed payloads for richer queries.
Prueba estos prompts
Inspect my Motoko canister and expose the products collection through caffeineai-oql. Keep controller-only authorization and summarize each change.
Expose my notes collection. Use its owner principal for row-level access, and prevent users from reading another user's rows.
Expose products, vendors, and supplies as related OQL entities. Define stable primary keys and edges that support dotted-path queries.
Review all persistent collections. Propose authorized entities, manual projections, conversion modules, hidden fields, samples, and synthetic junctions before implementing them.
Mejores prácticas
- Keep controller-only authorization until the intended audience for every entity is explicit.
- Expose only fields and collections required for supported questions.
- Verify primary keys, owner fields, edges, and empty-collection samples before deployment.
Evitar
- Do not mark private or user-owned data as public.
- Do not enable scoped access without a valid owner field or subject-aware iterator.
- Do not rely on populated collections for schema discovery when data can be empty.
Preguntas frecuentes
What does this skill add?
Which collection types are supported?
How is access controlled?
Does it expose every collection automatically?
What versions are required?
How are non-primitive fields handled?
Detalles del desarrollador
Autor
caffeinelabsLicencia
MIT
Versión del autor
v0.4.0
Revisión de Skillstore
r1
Repositorio
https://github.com/caffeinelabs/skills/tree/10fb452613c797633b8cb33639fc9a754a138039/skills/extension-oqlRef.
f32f934280aa94e399d875d7cf7b2ed16d1b82a3
Actualidad del mantenimiento
24/7/2026
Uso
0 descargas · 0 vistas
Estructura de archivos
📄 SKILL.md