LLMQuant Skills
LLMQuant/skills
Finance agent skills for equities, options, macro and risk, installable with npx skills add
LLMQuant Skills is a catalog of 18 category skills for finance research that agents such as Hermes Agent, Claude Code and Codex can install. Each skill routes the agent to a finance workflow and keeps its claims tied to LLMQuant Data.
What LLMQuant Skills does
The repository is a skill catalog rather than a single SKILL.md. The install unit is a category folder under skills/llmquant-*, and each folder holds a router SKILL.md that indexes workflow files, tells the agent which workflow to load and applies an evidence contract based on LLMQuant Data. Categories include equities, ETFs, options, equity derivatives, commodities, crypto, prediction markets, macro, credit, rates and FX, events, portfolio, risk, strategies, market intelligence and investor lenses.
Workflows named in the README range from 10-K risk review and 13F holders to IV rank, ETF overlap reports, Fed policy previews, credit spread regimes and portfolio what-if simulation. Installation goes through npx skills add, which the README says works across Claude Code, Codex, Cursor, Antigravity, OpenClaw and Hermes. Plugin manifests are also included for Claude Code, Codex and Cursor.
Key features
- 18 category skills covering equities, options, macro, crypto, credit, risk and more
- Router SKILL.md per category that points to workflow files
- Evidence contract that ties claims to LLMQuant Data
- Workflows such as 10-K risk review, IV rank, ETF overlap and Fed policy preview
- One npx skills add command for Hermes and other supported agents
- Plugin manifests for Claude Code, Codex and Cursor
When to use it
- Giving a Hermes Agent a set of finance research workflows to follow
- Comparing ETF holdings or checking 13F holders from an agent chat
- Building an options strategy or Greeks view with an agent
- Running a macro or Fed policy brief grounded in a named data source
Who it is for: Investors and quant researchers who use an AI agent such as Hermes Agent for market research and want ready-made finance workflows.
How it fits with Hermes Agent
The repository description and install notes name Hermes Agent among the agents the skills are written for, alongside Claude Code, Codex, Cursor and OpenClaw. It is a general skill catalog rather than a Hermes-only pack.
How to install LLMQuant Skills
These commands are copied from the project's README. Check the repository for the latest steps before you run them.
npx skills add LLMQuant/skills
npx skills add LLMQuant/skills -g --allNote: The skills are built around LLMQuant Data, an external data source, and the opening part of the README does not state its access terms.
FAQ
What is LLMQuant Skills?
LLMQuant Skills is a catalog of 18 finance category skills for AI agents. Each one is a router SKILL.md that loads the right workflow and keeps claims grounded in LLMQuant Data.
Does LLMQuant Skills work with Hermes Agent?
Yes. The repository description names Hermes Agent as a supported target, and the README says npx skills add installs to the right place for Hermes and other agents.
How do I install LLMQuant Skills?
Run npx skills add LLMQuant/skills to pick skills interactively, or add -g --all to install every category skill globally. The README says the command detects the host agent automatically.
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