zhongkaifu/tensorsharp/market-data
Claude Code and agent skill by zhongkaifu/tensorsharp
- community
Checking that the SKILL.md file is still in the repository.
Use only for current stock/share prices, ticker quotes, and financial market movers. Network switch must be on; no API key.
Install
npx vskill@latest install zhongkaifu/tensorsharp/market-dataSKILL.md
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.
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.
| Option | Effect | |||
|---|---|---|---|---|
| `--movers gainers\ | losers\ | actives` | the day's movers, ranked by the endpoint | |
--quote SYM ... | quote named symbols instead | |||
--count N | how many rows, 1-50 (default 10) | |||
--any-instrument | include funds and trusts, not only ordinary shares | |||
--json FILE | also write the rows as objects, for a follow-up script | |||
--spec FILE | also write a make_pptx.py spec for these rows | |||
--title TEXT | title 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:
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.
Security
- Security scanPassed, 90 of 100Pattern checks on the skill's files.
- Model reviewPassed
Quality evaluation
- Task evaluationNot runNo evaluation yet. Run one in Skill Studio.
Source
- SKILL.md in the repositoryCheckingTensorAgent/skills/market-data/SKILL.md
Popularity
- 7-day trend score
- 5
Not refreshed yet.
Works with
Any agent vskill installs to: 56 targets in all. These 39 have a page on this site.
- Claude Code
- Cursor
- GitHub Copilot
- Windsurf
- Codex
- Gemini CLI
- Cline
- Amp
- Roo Code
- Goose
- Continue
- Kilo Code
- Junie
- Trae
- OpenHands
- Qwen Code
- AI Agent
- Tabnine Chat
- Sourcegraph Cody
- Amazon Q
- Firebase Genkit
- Sweep
- Devin
- Phind
- Mentat
- Claude Desktop
- Aider
- GPT Pilot
- Plandex
- bolt.new
- v0
- Replit Agent
- Anse
- TypingMind
- BetterChatGPT
- LibreChat
- Warp AI
- Pieces
- Fig AI
Embed badge
[](https://verified-skill.com/skills/zhongkaifu/tensorsharp/market-data)