llmquant-hermes: automation for Hermes Agent

Financial analyst setup for Hermes: five standing market watchers and 18 analysis skills via LLMQuant Data

What llmquant-hermes does

llmquant-hermes connects a Hermes agent to LLMQuant Data through MCP and installs the pieces of an analyst's workflow: five market playbooks that run as standing watchers, an analyst persona, and the 18 analysis skills from LLMQuant/skills. The skills are available as commands such as /llmquant-equities and /llmquant-macro for on-demand work on equities, macro, options and prediction markets.

The five watchers are a morning brief with macro, watchlist moves, company news and overnight prediction-market odds; an earnings watch; a 13F diff showing what tracked managers bought, sold or trimmed; a weekly portfolio pulse; and a Polymarket watch. Setup is one paste into your agent. The agent connects the hosted LLMQuant Data MCP URL first with local stdio as the fallback, confirms your model (DeepSeek is the baseline), installs the playbooks and skills, smoke-tests with a 0-credit call, and asks before editing config, writing cron jobs or needing an API key. A manual route adds an mcp_servers entry to ~/.hermes/config.yaml.

Key features

Five standing watchers: morning brief, earnings watch, 13F diff, portfolio pulse and Polymarket watch
18 analysis skills from LLMQuant/skills, invoked with commands like /llmquant-equities
Hosted LLMQuant Data MCP connection with local stdio as a fallback
Analyst persona installed alongside the playbooks
Agent-run setup from a single pasted instruction, with a 0-credit smoke test
Manual setup through an mcp_servers entry in ~/.hermes/config.yaml

When to use it

Receiving a pre-open market brief in Telegram, Discord or Slack each morning
Getting a nudge when a name on your watchlist reports earnings or updates guidance
Reviewing what tracked managers changed in their latest 13F filings
Checking a short daily list of Polymarket markets with large overnight odds moves

Who it is for: Investors and analysts who run a Hermes agent and want recurring market briefs plus on-demand research.

How it fits with Hermes Agent

Built for Hermes Agent: it installs playbooks, a persona and skills into Hermes and connects LLMQuant Data through Hermes's MCP configuration.

How to install llmquant-hermes

These commands are copied from the project's README. Check the repository for the latest steps before you run them.

Read https://raw.githubusercontent.com/LLMQuant/llmquant-hermes/master/SETUP.md and set up LLMQuant Data for me. Use DeepSeek as the baseline model. Only ask me for things you can't do yourself.

Requirements: A running Hermes agent, a messaging channel such as Telegram, Discord or Slack, a model backend (DeepSeek is the recommended baseline), and an LLMQuant Data account

Note: It depends on the hosted LLMQuant Data service, which requires signing up; the README says the Free Beta plan is enough to start.

FAQ

What is llmquant-hermes?

It is a setup package that turns a Hermes agent into a financial analyst using LLMQuant Data. It provides five scheduled watchers and 18 analysis skills for equities, macro, options and prediction markets.

How do I install llmquant-hermes?

Paste the setup instruction from the README into your Hermes agent. The agent reads SETUP.md, connects the MCP server, installs the playbooks and skills, and asks before changing config or writing cron jobs.

What do I need to run llmquant-hermes?

You need a running Hermes agent, a messaging channel and a model backend, with DeepSeek as the recommended baseline. You also need an LLMQuant Data account, and the README says the Free Beta plan is enough to start.