hpsilab-quant-research

hpsilab-quant-research is a skill for Claude Code, Codex from haiyunsky/hpsilab-quant-finance-mcp. It costs 111 tokens per session (4,702 once invoked), scanned A, original, MIT.

A research skill for analysing US-listed stocks and exchange-traded funds, including options data and price-range estimates. It uses an external finance service and does not place trades.

In plain words
What is it for?
Use it for stock analysis, implied-volatility measures, options positioning, expected moves, and a 10-trading-day Monte Carlo price range.
Why use it?
It gives the agent a defined way to request market research while making clear that the results are not broker orders or invented data.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one.

Good fit Use it for stock analysis, implied-volatility measures, options positioning, expected moves, and a 10-trading-day Monte Carlo price range.

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Install with agentmods
npx agentmods add skills/haiyunsky/hpsilab-quant-finance-mcp/hpsilab-quant-research
Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

Any agent
npx skills add haiyunsky/hpsilab-quant-finance-mcp --skill hpsilab-quant-research
Clone the repo
git clone --depth 1 https://github.com/haiyunsky/hpsilab-quant-finance-mcp

Made for: Claude Code, Codex.

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

agentmods badge for hpsilab-quant-research

README.md
[![agentmods](https://agentmods.dev/badge/skills/haiyunsky/hpsilab-quant-finance-mcp/hpsilab-quant-research/github.svg)](https://agentmods.dev/skills/haiyunsky/hpsilab-quant-finance-mcp/hpsilab-quant-research)
Your own site
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Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.

agentmods 80×15 button for hpsilab-quant-research

Your own site · 80×15
<a href="https://agentmods.dev/skills/haiyunsky/hpsilab-quant-finance-mcp/hpsilab-quant-research"><img src="https://agentmods.dev/badge/skills/haiyunsky/hpsilab-quant-finance-mcp/hpsilab-quant-research.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 111 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 4,702 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin original No closer match found in the catalogue.
Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

ModelPer sessionOnce invoked
Fable 5.1 $0.00111 $0.04702
Opus 5.5 $0.00044 $0.01881
Sonnet 5.5 $0.00022 $0.00940
Haiku 4.5 $0.00011 $0.00470

Measured 3d ago against content hash 07987618dc32, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

hpsilab-quant-research scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 3d ago.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

skills/hpsilab-quant-research/SKILL.md · 179 lines

How it starts

The opening of the file, as written. The whole thing — 179 lines — stays where its author put it; the contents beside it link to each section on GitHub.

HPSILab Quant Research

This skill tells you when and how to use the HPSILab Quant Finance MCP tools (package version 0.11.0). The server exposes 9 research tools and 1 account tool. Each research tool takes one US-listed stock or ETF ticker per call and returns a JSON object. The tools do not connect to a broker and cannot place, modify, or cancel orders.

Before you start

Check that the HPSILab tools are available (for example analyze_stock, get_iv_radar). If they are missing, tell the user to connect the server and stop. Do not invent results.

  • Remote endpoint (recommended): https://hpsilab.com/mcp, with the header Authorization: Bearer hpsi_your_key.
  • Local stdio: run uvx hpsilab-quant-finance-mcp with the HPSILAB_API_KEY environment variable set.
  • Every research tool requires a valid API key. A user without one can register at https://hpsilab.com/register and generate a key in Settings, or ask you to register them with register_account (see below), which is the only tool that works without a key.

API key rules:

  • Never ask the user to paste an API key into the chat.
  • Never print, repeat, or summarize a real key, even partly. This includes the api_key field returned by register_account. Tell the user the key was returned in the tool result and should go into their client's secret configuration as HPSILAB_API_KEY.
  • Never write a key into files, commands, URLs, or logs. Use hpsi_your_key or ${HPSILAB_API_KEY} as placeholders.

Choosing a tool

Pass an official uppercase ticker such as NVDA, AAPL, SPY, QQQ, or BRK.B (pattern ^[A-Z][A-Z0-9.-]{0,15}$). Convert company names to tickers yourself ("Nvidia" becomes NVDA). If the ticker is ambiguous, ask the user.

The user wants Call Parameters (local package) Credits
A general view, "analyze X", a bull/bear verdict analyze_stock symbol 12
Whether options are cheap or expensive, the vol regime, skew get_iv_radar symbol 3
Max pain, gamma wall, expected move, pressure zones get_option_pressure symbol 4
A probable price range over the next 10 trading days get_monte_carlo symbol 5
A model forecast for the next trading day's direction get_ai_prediction symbol 2
How rule-based strategies performed historically on this ticker get_equity_curve symbol 6
A risk check before a trade, position sizing, concentration (paid plan; confirm first) get_pretrade_risk_scan symbol 15
A written report, research note, or deep dive (confirm first) generate_stock_research_report symbol 30
Charts or visuals (confirm first) generate_stock_images symbol, force (default true), types (optional) 18
To sign up from here with no key yet, or a fresh key for an existing account, only on explicit request register_account email none

Read the full file on GitHub · 179 lines

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

  1. 3d ago First seen · 179 lines · 111 tokens per session scan A 07987618dc32

Subscribe to this mod's changes

hpsilab-quant-research is a skill published in the GitHub repository haiyunsky/hpsilab-quant-finance-mcp (1 stars, last pushed 4d ago), licensed MIT. It adds 111 tokens to every session and 4,702 once invoked, about $0.0004 per session on Opus 5.5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-10-14.

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