Agent skill

Llmquant Data

by LLMQuant in LLMQuant/skills

Router skill for LLMQuant Data primitive workflows. An agent skill from LLMQuant/skills.

MITAuto-check passedKnowledge Management

Install Llmquant Data

skills CLI
$ npx skills add LLMQuant/skills --skill llmquant-data -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install LLMQuant/skills llmquant-data --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/LLMQuant/skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/llmquant-data .claude/skills/llmquant-data && rm -rf skills-src

Use ~/.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/

Facts

Skill name
llmquant-data
GitHub stars
229
Used in
1 other repo
Token cost
~523 tokens
SKILL.md length
221 words
Files
7 (incl. scripts, assets)
Skills in repo
18
Repo updated
First seen
Licence
MIT

At a glance

Router skill for LLMQuant Data primitive workflows. An agent skill from LLMQuant/skills.

  • Works in 5 steps: Identify the user's entity, ticker,… → Select the closest workflow below. → Open only that workflow and any… → …
  • The user needs SEC filings
  • SKILL.md covers Routing Rules, Workflow Index and LLMQuant Data Contract
  • Macro snapshots

What it does

Llmquant Data is an agent skill from LLMQuant/skills. Router skill for LLMQuant Data primitive workflows. Use when the user needs SEC filings, 13F holders, macro snapshots, or source-grounded macro briefs.

Its SKILL.md is about 520 tokens, which your agent loads only when the skill is triggered. The skill folder holds 9 other files, including scripts and assets (for example `workflows/10k-risk-review.md`, `workflows/macro-brief.md` and `workflows/ticker-smart-money-holders.md`).

It sits in Knowledge Management, covering Source-grounded notebooks. It works with SEC EDGAR. The repository describes itself as: Reusable Skills for LLMQuant Agent, Claude Code, Claude.ai, Cursor, Hermes Agent, OpenClaw and Codex, grounded in LLMQuant Data. The licence is MIT.

When your agent uses it

  • The user needs SEC filings
  • Macro snapshots
  • Source-grounded macro briefs

Example prompts

  • “/llmquant-data”

Workflow steps

5 steps, taken from the first numbered list in SKILL.md.

  1. Identify the user's entity, ticker, macro indicator, period, and requested deliverable.
  2. Select the closest workflow below.
  3. Open only that workflow and any explicitly referenced local resources.
  4. Use LLMQuant Data as the source of external facts.
  5. Report returned dates, filing periods, coverage notices, and missing inputs.

What it can do on your machine

Read from SKILL.md and the folder at commit 1918237. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    Ships 1 file in scripts/, which the agent can run.

    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

Llmquant Data loads about 523 tokens when it runs. Until then it costs about 41 tokens; SKILL.md has 221 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~41
When it runs · the whole SKILL.md, loaded when a task matches
~523

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); the scripts in this folder are not scanned.

SKILL.md

The full file from LLMQuant/skills at commit 1918237, republished under its MIT licence (© LLMQuant). 221 words, ~523 tokens.

Download SKILL.mdSave it as .claude/skills/llmquant-data/SKILL.md (or your agent's skills folder). This skill also uses 6 other files; get the full folder from GitHub.
name
llmquant-data
description
Router skill for LLMQuant Data primitive workflows. Use when the user needs SEC filings, 13F holders, macro snapshots, or source-grounded macro briefs.
input_data_source
LLMQuant Data
category
data

LLMQuant Data

This category routes data-primitive research tasks to focused workflows. Use it when the user needs a direct LLMQuant Data-backed answer before any higher-level strategy or portfolio overlay.

Routing Rules

  1. Identify the user's entity, ticker, macro indicator, period, and requested deliverable.
  2. Select the closest workflow below.
  3. Open only that workflow and any explicitly referenced local resources.
  4. Use LLMQuant Data as the source of external facts.
  5. Report returned dates, filing periods, coverage notices, and missing inputs.

Workflow Index

User intentWorkflow
Review business, risk, and MD&A evidence from a company's 10-K.workflows/10k-risk-review.md
Identify top 13F managers holding a ticker and crowding signals.workflows/ticker-smart-money-holders.md
Build a compact U.S. macro regime snapshot.workflows/us-macro-snapshot.md
Compose a market-facing macro brief from macro, market, and research inputs.workflows/macro-brief.md

LLMQuant Data Contract

Prefer LLMQuant Data when available. The workflows may need these data capabilities:

  • Read SEC filings and specific filing sections such as business, risk factors, and MD&A.
  • Query 13F holder lists, manager holdings, and ownership concentration for a ticker.
  • Retrieve macro indicator snapshots, histories, release dates, and metadata.
  • Retrieve market prices, crypto snapshots, research knowledge, and paper/wiki context when relevant.

Fallback:

  • If LLMQuant Data or a compatible data MCP is unavailable, ask for user-provided data or name the missing inputs.
  • Continue only with retrieved or user-provided evidence and label inference separately.

© LLMQuant, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

SKILL.md and 6 other files (scripts, assets) in skills/llmquant-data of LLMQuant/skills.

  • SKILL.md
  • assets/.gitkeep
  • scripts/.gitkeep
  • workflows/10k-risk-review.md
  • workflows/macro-brief.md
  • workflows/ticker-smart-money-holders.md
  • workflows/us-macro-snapshot.md

Open the folder on GitHubat commit 1918237

Used in 1 other repository

We found 1 copy of this SKILL.md (exact, near-identical or edited) in other folders, from 1 other GitHub owner. This page covers the copy in LLMQuant/skills, which our catalogue first saw on October 7, 2026.

Compare with similar skills

Llmquant 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.

Llmquant Data compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Llmquant Data this skillLLMQuant/skills2291 repos~523Automated safety check: PassMIT
Zlibrary To Notebooklmzstmfhy/zlibrary-to-notebooklm1.7k1 repos~968Automated safety check: PassMIT
Multi-Source to NotebookLM Processorjoeseesun/qiaomu-anything-to-notebooklm6.2k—~3.6kAutomated safety check: PassMIT
Learn From Materialsdmoshehun-prog/learn-from-materials902—~7.9kAutomated safety check: PassMIT
NotebookLM Research Workflowclaude-world/notebooklm-skill463—~1.8kAutomated safety check: PassMIT
Nlmtmc/nlm391—~2.2kAutomated safety check: NotesMIT

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  • Llmquant Macro

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Works with

Questions about Llmquant Data

What does Llmquant Data do?

Router skill for LLMQuant Data primitive workflows. An agent skill from LLMQuant/skills. Llmquant Data is an agent skill from LLMQuant/skills. Router skill for LLMQuant Data primitive workflows.

When should I use Llmquant Data?

Llmquant Data fits situations like: the user needs SEC filings; macro snapshots; source-grounded macro briefs.

How do I install Llmquant Data in Claude Code?

Run `npx skills add LLMQuant/skills --skill llmquant-data -a claude-code`. Or copy the skill folder (skills/llmquant-data in LLMQuant/skills) into .claude/skills/llmquant-data in your project. Claude Code loads it when a task matches its description.

How do I install Llmquant Data in Codex?

Run `npx skills add LLMQuant/skills --skill llmquant-data -a codex`. Or copy the skill folder (skills/llmquant-data in LLMQuant/skills) into .agents/skills/llmquant-data in your project. Codex loads it when a task matches its description.

Can I use Llmquant 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 LLMQuant/skills --skill llmquant-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/llmquant-data, .gemini/skills/llmquant-data, .github/skills/llmquant-data and .opencode/skills/llmquant-data in your project.

What does Llmquant Data need to run?

SKILL.md names no scripts, command-line tools or credentials: Llmquant Data is instructions for the agent only.

Does Llmquant 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 Llmquant 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. The check reads SKILL.md only: the scripts in the folder are not scanned, so read them before running anything.

What licence does Llmquant Data use?

Llmquant Data is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Llmquant Data use?

About 523 tokens (SKILL.md is roughly 2.1k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.

What are the alternatives to Llmquant Data?

Skills that share tags, products or a category with Llmquant Data: Zlibrary To Notebooklm (zstmfhy/zlibrary-to-notebooklm, 1.7k stars), Multi-Source to NotebookLM Processor (joeseesun/qiaomu-anything-to-notebooklm, 6.2k stars), Learn From Materials (dmoshehun-prog/learn-from-materials, 902 stars) and NotebookLM Research Workflow (claude-world/notebooklm-skill, 463 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Llmquant Data?

LLMQuant (a GitHub organization) maintains it in LLMQuant/skills, which has 229 GitHub stars. The repository holds 18 skills in this directory. The repository was last updated on May 30, 2026.

Source: LLMQuant/skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.