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Market Data

Community
zhongkaifu
market-data

Use only for current stock/share prices, ticker quotes, and financial market movers (gainers, losers, most-traded shares). Needs the app's Network switch on; no API key.

Overview

Publisherzhongkaifu
RepositoryTensorSharp
Skill namemarket-data
Stars
574
Forks
60
Bundled files
1
LicenseBSD-3-Clause
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • 1 bundled files

    Scripts, templates, and references the model can read while it works. Files are read-only and never executed.

  • Open source

    Published by zhongkaifu on GitHub. Read the source before you install it.

Installation

Install the Market Data AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
    https://github.com/zhongkaifu/TensorSharp/tree/main/TensorAgent/skills/market-data
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/zhongkaifu/TensorSharp.git /tmp/TensorSharp
mkdir -p .claude/skills
cp -r /tmp/TensorSharp/TensorAgent/skills/market-data .claude/skills/market-data
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Market Data in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Market Data on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Market Data is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

Market data

One script. It asks a JSON endpoint for rows that are already typed and ranked, so nothing has to be parsed out of a page or remembered.

python3 scripts/market_movers.py --movers gainers --count 10
python3 scripts/market_movers.py --movers losers --count 5
python3 scripts/market_movers.py --movers actives --count 10
python3 scripts/market_movers.py --quote AAPL MSFT NVDA

It prints a heading naming the source and the data's own timestamp, then a markdown table. That output is the answer: copy the rows as printed. Do not round them, re-order them, or add a column the table does not have.

OptionEffect
--movers gainers|losers|activesthe day's movers, ranked by the endpoint
--quote SYM ...quote named symbols instead
--count Nhow many rows, 1-50 (default 10)
--any-instrumentinclude funds and trusts, not only ordinary shares
--json FILEalso write the rows as objects, for a follow-up script
--spec FILEalso write a make_pptx.py spec for these rows
--title TEXTtitle for --spec

Putting it in a deck

--spec writes a spec the documents skill accepts as it stands, so the whole request is two commands:

python3 scripts/market_movers.py --movers gainers --count 10 --spec spec.json --title "Top 10 gainers today"
python3 ../documents/scripts/make_pptx.py --spec spec.json --out gainers.pptx

The spec splits at twelve rows per slide, which is what a table slide holds. Return the .pptx to the user as the downloadable artifact.

What it will not do

It never fills a gap. A row has to carry a symbol, a name, a price, a change, a percentage and a volume, with numbers where numbers belong. A row missing any of them is dropped, so asking for ten can return eight — and eight real rows is the answer, not a reason to invent two. If nothing usable comes back the script exits non-zero and prints why; say that, and do not answer the question from memory. Prices you remember are wrong by definition.

It does not say why a price moved. The response carries prices, not reasons. A number here supports "ROIV is up 18.75% today"; it supports no sentence containing "because", "on news of", or "driven by". If the user asks why, say the data does not carry it.

Read the Currency column. --movers is US shares and prints USD, but --quote takes any symbol the source knows, and those are priced in their own market's unit — a London line comes back in GBp, which is PENCE, so 1,574.80 is £15.75 and not £1,574.80. The unit is a column in the table for that reason. Never compare two rows' prices without it, and never drop it when you quote a row.

Read the heading too. It says when the rows were stamped, and it says "rows stamped between" when they do not share a moment, which they will not across exchanges. If the session is not open it says so — "last market closed price" — and then "today" in a title means the last close, not a live price.

A long --quote can run out of time. Each symbol is its own request, and the run keeps a budget inside the tool's timeout so a few slow symbols cannot cost you the whole answer. If it runs out, the table holds the symbols that answered and a note names the ones left out; ask for those in a second run rather than repeating the whole list.

One moment, not a history. These are prices as the source last stamped them. It is not a portfolio, a history, a forecast, or advice, and nothing here should be presented as any of those.

Where the data comes from. Two JSON endpoints Yahoo publishes for its own front end. They are undocumented and unofficial: they can change or start refusing without notice, which is what the non-zero exits are for. Attribute the source in your answer, as the printed heading does. Do not present the figures as a licensed market feed, and do not build anything that depends on them staying available.

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

Frequently asked questions

What does the Market Data AI skill do?

Use only for current stock/share prices, ticker quotes, and financial market movers (gainers, losers, most-traded shares). Needs the app's Network switch on; no API key.

Why use Market Data on TypingMind?

Because you install it once and use it with any model. Market Data is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Market Data in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/zhongkaifu/TensorSharp/tree/main/TensorAgent/skills/market-data. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Which AI models can use Market Data?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Market Data?

As many as you like. As long as a model supports skills, you can use Market Data with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Market Data AI skill free?

Yes. It is published on GitHub by zhongkaifu under the BSD-3-Clause license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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