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.
將此請求複製給你的智慧代理，其中包含權威 Skill 頁面和清單。
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.你的智慧代理仍應顯示其計畫，並依安全政策請求必要確認。
當 AI Agent、爬蟲或腳本需要乾淨脈絡、而不是讀取完整頁面時，請使用這些連結。
正在使用「extension-oql」。 Expose a products map while keeping access limited to controllers.
預期結果:
正在使用「extension-oql」。 Make private notes queryable by each note owner.
預期結果:
正在使用「extension-oql」。 Connect products and vendors through a supplies collection.
預期結果:
All 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.
分享版本化評估報告、中性徽章、嵌入卡片與引用。Skillstore 只報告證據，不判斷該 Skill 是否安全。
https://skillstore.io/skills/caffeinelabs-extension-oql/audits/1?utm_source=security_passport&utm_medium=share&utm_campaign=versioned_report[](https://skillstore.io/skills/caffeinelabs-extension-oql?utm_source=security_passport_badge)<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><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>caffeinelabs. (2026). extension-oql security audit report (audit version 1) [Author version 0.4.0]. Skillstore. https://skillstore.io/skills/caffeinelabs-extension-oql/audits/1@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}
}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"
Expose product, customer, or project collections for natural-language questions and aggregate analysis.
Apply owner fields and scoped authorization so signed-in users receive only permitted rows.
Create edges, junction entities, flattened records, and computed payloads for richer queries.
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.
作者
caffeinelabs授權
MIT
作者版本
v0.4.0
Skillstore 修訂
r1
引用
f32f934280aa94e399d875d7cf7b2ed16d1b82a3
維護新鮮度
2026/7/24
使用量
0 次下載 · 0 次瀏覽
檔案結構
📄 SKILL.md
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