querying-logseq-data
Build Better Logseq Datalog Queries
Logseq database queries are difficult to structure and optimize. This skill provides practical Datalog patterns for filters, pulls, rules, aggregations, and plugin queries.
Install with my Agent
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Review the Skillstore skill "querying-logseq-data" from https://skillstore.io/skills/c0ntr0lledcha0s-querying-logseq-data.md and its manifest at https://skillstore.io/api/skills/c0ntr0lledcha0s-querying-logseq-data/manifest. Verify the artifact. You may proceed after verification, subject to the environment's own policy.Your Agent should still show its plan and request any confirmation required by the security policy.
Agent-readable resources
Use these links when an AI agent, crawler, or script needs clean context instead of reading the full page.
Test it
Using "querying-logseq-data". Find all high-priority tasks that are due before today.
Expected outcome:
A parameterized query plan filters task entities by class, priority, and deadline, then returns only the requested task fields.
Using "querying-logseq-data". My book query is slow because it pulls every attribute.
Expected outcome:
The revised approach selects book and rating filters first, then retrieves only titles, ratings, and required tag information.
Using "querying-logseq-data". Convert a simple five-star book query into an advanced query block.
Expected outcome:
The response outlines the full Datalog filter, a title, optional result sorting, and a compact list presentation.
Security Audit
SafeAll 56 static findings are false positives caused by Markdown backticks, code fences, JavaScript template literals, or Datalog syntax. The skill contains documentation and examples, with no shell execution, system reconnaissance, prompt injection, or malicious intent.
Risk Factors
⚙️ External commands (50)
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APA citation
C0ntr0lledCha0s. (2026). querying-logseq-data security audit report (audit version 10) [Author version 1.0.0]. Skillstore. https://skillstore.io/skills/c0ntr0lledcha0s-querying-logseq-data/audits/10BibTeX citation
@techreport{c0ntr0lledcha0s-c0ntr0lledcha0s-querying-logseq-data-2026,
author = {C0ntr0lledCha0s},
title = {querying-logseq-data security audit report (audit version 10)},
institution = {Skillstore},
year = {2026},
number = {10},
url = {https://skillstore.io/skills/c0ntr0lledcha0s-querying-logseq-data/audits/10},
note = {Author version 1.0.0}
}CITATION.cff
cff-version: 1.2.0
message: "If you use this Skill, cite its author and this versioned security audit report."
title: "querying-logseq-data security audit report (audit version 10)"
version: "1.0.0"
type: report
authors:
- name: "C0ntr0lledCha0s"
date-released: "2026-07-23"
url: "https://skillstore.io/skills/c0ntr0lledcha0s-querying-logseq-data/audits/10"
identifiers:
- type: other
value: "skillstore:c0ntr0lledcha0s-querying-logseq-data:audit:10"
description: "Skillstore immutable audit report identifier"
Skillstore Score
Why this score Evidence Confidence: HighWhat You Can Build
Build personal graph queries
Create filters for tasks, journals, classes, properties, and linked blocks in a Logseq DB graph.
Develop plugin data features
Prepare parameterized Datascript queries for plugin features that read structured Logseq data.
Improve slow query designs
Review clause order, pull attributes, and filters to reduce unnecessary work in large graphs.
Try These Prompts
Create a Logseq DB Datalog query that returns titles for pages tagged [tag]. Explain each clause in simple terms.
Build a parameterized query for tasks with status [status] and deadlines between [start] and [end]. Return only title, status, and deadline.
Create a Datalog query that groups [class] items by [property] and counts each group. Explain missing-value handling and schema assumptions.
Review my descendant query for [root block]. Use selective pulls, reusable rules, and efficient clause ordering. Explain every performance recommendation.
Best Practices
- Provide the graph type, relevant classes, property names, and expected result shape.
- Request selective pull attributes instead of every entity attribute.
- Test parameter values and edge cases on a representative copy of the graph.
Avoid
- Do not assume Markdown graph attributes work in a DB graph.
- Do not use unrestricted wildcard pulls for large result sets.
- Do not compare dates as strings without confirming the stored data type.
Frequently Asked Questions
Does this skill support Logseq DB graphs?
Can it query my graph directly?
Can it convert simple queries to Datalog?
Does it support aggregations and rules?
Can it optimize slow queries?
Does it support Logseq plugins?
Developer Details
Author
C0ntr0lledCha0sLicense
MIT
Author version
v1.0.0
Skillstore revision
r2
Ref
a39a91716eadede5f4cdefd78178fed4e837a128
Maintenance freshness
7/24/2026
Usage
8 downloads · 211 views
File structure