Logseq Review Workflow Eval
logseq/logseq
Compare two revisions of the Logseq logseq-review-workflow skill by running the same review prompt against isolated before and after skill snapshots, collecting both outputs, and producing a…
Expert in building Datalog queries for Logseq DB graphs. An agent skill from aiskillstore/marketplace.
Install Querying Logseq Data
$ npx skills add aiskillstore/marketplace --skill querying-logseq-data -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install aiskillstore/marketplace querying-logseq-data --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ git clone --depth 1 https://github.com/aiskillstore/marketplace.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/c0ntr0lledcha0s/querying-logseq-data .claude/skills/querying-logseq-data && rm -rf skills-srcUse ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.
Claude Code skills documentation · loads skills from .claude/skills/
Install the "querying-logseq-data" agent skill from https://github.com/aiskillstore/marketplace/tree/main/skills/c0ntr0lledcha0s/querying-logseq-data into .claude/skills/querying-logseq-data/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "querying-logseq-data", then confirm the skill loads.Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$skill-installer install https://github.com/aiskillstore/marketplace/tree/main/skills/c0ntr0lledcha0s/querying-logseq-dataType this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.
$ npx skills add aiskillstore/marketplace --skill querying-logseq-data -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install aiskillstore/marketplace querying-logseq-data --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/aiskillstore/marketplace.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/c0ntr0lledcha0s/querying-logseq-data .agents/skills/querying-logseq-data && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "querying-logseq-data" agent skill from https://github.com/aiskillstore/marketplace/tree/main/skills/c0ntr0lledcha0s/querying-logseq-data into .agents/skills/querying-logseq-data/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "querying-logseq-data", then confirm the skill loads.Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add aiskillstore/marketplace --skill querying-logseq-data -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install aiskillstore/marketplace querying-logseq-data --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/aiskillstore/marketplace.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/c0ntr0lledcha0s/querying-logseq-data .cursor/skills/querying-logseq-data && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "querying-logseq-data" agent skill from https://github.com/aiskillstore/marketplace/tree/main/skills/c0ntr0lledcha0s/querying-logseq-data into .cursor/skills/querying-logseq-data/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "querying-logseq-data", then confirm the skill loads.Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gemini skills install https://github.com/aiskillstore/marketplace.git --path skills/c0ntr0lledcha0s/querying-logseq-data--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add aiskillstore/marketplace --skill querying-logseq-data -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install aiskillstore/marketplace querying-logseq-data --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/aiskillstore/marketplace.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/c0ntr0lledcha0s/querying-logseq-data .gemini/skills/querying-logseq-data && rm -rf skills-srcUse ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.
Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/
Install the "querying-logseq-data" agent skill from https://github.com/aiskillstore/marketplace/tree/main/skills/c0ntr0lledcha0s/querying-logseq-data into .gemini/skills/querying-logseq-data/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "querying-logseq-data", then confirm the skill loads.Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gh skill install aiskillstore/marketplace querying-logseq-dataInstalls for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).
$ npx skills add aiskillstore/marketplace --skill querying-logseq-data -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/aiskillstore/marketplace.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/c0ntr0lledcha0s/querying-logseq-data .github/skills/querying-logseq-data && rm -rf skills-srcUse ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.
GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/
Install the "querying-logseq-data" agent skill from https://github.com/aiskillstore/marketplace/tree/main/skills/c0ntr0lledcha0s/querying-logseq-data into .github/skills/querying-logseq-data/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "querying-logseq-data", then confirm the skill loads.GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add aiskillstore/marketplace --skill querying-logseq-data -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install aiskillstore/marketplace querying-logseq-data --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/aiskillstore/marketplace.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/c0ntr0lledcha0s/querying-logseq-data .opencode/skills/querying-logseq-data && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "querying-logseq-data" agent skill from https://github.com/aiskillstore/marketplace/tree/main/skills/c0ntr0lledcha0s/querying-logseq-data into .opencode/skills/querying-logseq-data/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "querying-logseq-data", then confirm the skill loads.OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
Facts
- Skill name
querying-logseq-data- GitHub stars
- 430
- Token cost
- ~1.9k tokens
- SKILL.md length
- 258 words
- Files
- 3 (incl. references)
- Skills in repo
- 1,085
- Repo updated
- First seen
- Licence
- None found
At a glance
Expert in building Datalog queries for Logseq DB graphs. An agent skill from aiskillstore/marketplace.
- Works in 5 steps: Put most selective clauses first -… → Use indexed attributes - :db/ident,… → Avoid wildcards in pull - Specify needed… → …
- Tasks that involve Query optimization
- SKILL.md covers When to Use This Skill, Datalog Query Fundamentals, Common Query Patterns and Advanced Query Techniques, plus 5 more sections
- Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md
What it does
Querying Logseq Data is an agent skill from aiskillstore/marketplace. Expert in building Datalog queries for Logseq DB graphs. Auto-invokes when users need help writing Logseq queries, understanding Datalog syntax, optimizing query performance, or working with the Datascript query engine. Covers advanced query patterns, pull syntax, aggregations, and DB-specific query techniques.
Its SKILL.md is about 1.9k tokens, which your agent loads only when the skill is triggered. The skill folder holds 3 other files, including reference files (for example `references/query-patterns.md` and `skill-report.json`).
It sits in Knowledge Management, covering Query optimization. The repository describes itself as: Security-audited skills for Claude, Codex & Claude Code. One-click install, quality verified.
When your agent uses it
- Tasks that involve Query optimization
Example prompts
- “/querying-logseq-data”
Requirements
- Pre-approved tools (allowed-tools): Read, Grep, Glob, WebFetch, WebSearch
Workflow steps
5 steps, taken from the first numbered list in SKILL.md.
- Put most selective clauses first - Narrow down results early
- Use indexed attributes - :db/ident, :block/uuid are indexed
- Avoid wildcards in pull - Specify needed attributes
- Use rules for complex logic - Better readability and potential caching
- Limit results when possible - Add limits for large datasets
What it can do on your machine
Read from SKILL.md and the folder at commit 4ac52da. It shows what the files ask for, not the result of running them.
Tool permissions
Pre-approves these tools, so the agent can use them without asking each time:
ReadGrepGlobWebFetchWebSearch
From allowed-tools in the SKILL.md frontmatter.
Runs code
No scripts in the folder and no shell commands in SKILL.md (its code samples are clojure).
From the folder's file list and the shell code blocks in SKILL.md.
Network
No URLs in SKILL.md.
From URLs in SKILL.md, links to its own repository left out.
Credentials
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Context cost
Querying Logseq Data loads about 1.9k tokens when it runs, and up to ~2.7k if it reads all its reference files. Until then it costs about 83 tokens; SKILL.md has 258 words of instructions outside code blocks.
Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.
Safety
Auto-check passed
The automated check found no risky patterns in SKILL.md.
Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.
SKILL.md
Without a licence we can't republish the file, so here is its outline and opening line. It has 258 words (~1,890 tokens).
- name
- querying-logseq-data
- allowed-tools
- Read, Grep, Glob, WebFetch, WebSearch
- version
- 1.0.0
Files
SKILL.md and 2 other files (references) in skills/c0ntr0lledcha0s/querying-logseq-data of aiskillstore/marketplace.
- SKILL.md
- references/query-patterns.md
- skill-report.json
Open the folder on GitHubat commit 4ac52da
Compare with similar skills
Querying Logseq Data next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| Querying Logseq Data this skillaiskillstore/marketplace | 430 | — | ~1.9k | Automated safety check: Pass | None | |
| Logseq Review Workflow Evallogseq/logseq | 45k | — | ~1k | Automated safety check: Pass | AGPL-3.0 | |
| Baoyu URL To Markdownsdyckjq-lab/llm-wiki-skill | 2.5k | 2 repos | ~3.2k | Automated safety check: Pass | None | |
| Obsidian CLIAtmosphere/atmosphere | 3.8k | 13 repos | ~795 | Automated safety check: Pass | Apache-2.0 | |
| Esm Cjs Risk Scanlogseq/logseq | 45k | — | ~3.3k | Automated safety check: Pass | AGPL-3.0 | |
| Karpathy LLM WikiAstro-Han/karpathy-llm-wiki | 2.4k | — | ~3.6k | Automated safety check: Pass | MIT |
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Related
Categories
Questions about Querying Logseq Data
What does Querying Logseq Data do?
Expert in building Datalog queries for Logseq DB graphs. An agent skill from aiskillstore/marketplace. Querying Logseq Data is an agent skill from aiskillstore/marketplace. Expert in building Datalog queries for Logseq DB graphs.
When should I use Querying Logseq Data?
Querying Logseq Data fits situations like: tasks that involve Query optimization.
How do I install Querying Logseq Data in Claude Code?
Run `npx skills add aiskillstore/marketplace --skill querying-logseq-data -a claude-code`. Or copy the skill folder (skills/c0ntr0lledcha0s/querying-logseq-data in aiskillstore/marketplace) into .claude/skills/querying-logseq-data in your project. Claude Code loads it when a task matches its description.
How do I install Querying Logseq Data in Codex?
Run `npx skills add aiskillstore/marketplace --skill querying-logseq-data -a codex`. Or copy the skill folder (skills/c0ntr0lledcha0s/querying-logseq-data in aiskillstore/marketplace) into .agents/skills/querying-logseq-data in your project. Codex loads it when a task matches its description.
Can I use Querying Logseq Data in Cursor, Gemini CLI or GitHub Copilot?
Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add aiskillstore/marketplace --skill querying-logseq-data -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/querying-logseq-data, .gemini/skills/querying-logseq-data, .github/skills/querying-logseq-data and .opencode/skills/querying-logseq-data in your project.
What does Querying Logseq Data need to run?
SKILL.md names no scripts, command-line tools or credentials: Querying Logseq Data is instructions for the agent only. Its frontmatter pre-approves these tools: Read, Grep, Glob, WebFetch, WebSearch.
Does Querying Logseq Data access the network?
SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.
Is Querying Logseq Data safe to install?
Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.
What licence does Querying Logseq Data use?
No licence was found for Querying Logseq Data or its repository. Without one, default copyright applies: ask the author before reusing or redistributing it.
How many tokens does Querying Logseq Data use?
About 1.9k tokens (SKILL.md is roughly 7.6k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full. Its references folder adds about 772 tokens, read only when the agent opens those files.
What are the alternatives to Querying Logseq Data?
Skills that share tags, products or a category with Querying Logseq Data: Logseq Review Workflow Eval (logseq/logseq, 45k stars), Baoyu URL To Markdown (sdyckjq-lab/llm-wiki-skill, 2.5k stars), Obsidian CLI (Atmosphere/atmosphere, 3.8k stars) and Esm Cjs Risk Scan (logseq/logseq, 45k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Querying Logseq Data?
aiskillstore (a GitHub organization) maintains it in aiskillstore/marketplace, which has 430 GitHub stars. The repository holds 1,085 skills in this directory. The repository was last updated on October 7, 2026.
Source: aiskillstore/marketplace on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.