Agent skill

QVeris Data Marketplace

by HKUDS in HKUDS/Vibe-Trading

Finds and calls paid market data capabilities through QVeris when free Vibe-Trading sources fall short, searching and inspecting before any paid execution.

MITAuto-check passedBusiness, Finance & HR

Install QVeris Data Marketplace

skills CLI
$ npx skills add HKUDS/Vibe-Trading --skill qveris -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install HKUDS/Vibe-Trading qveris --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/HKUDS/Vibe-Trading.git skills-src && mkdir -p .claude/skills && cp -r skills-src/agent/src/skills/qveris .claude/skills/qveris && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
qveris
GitHub stars
35k
Token cost
~1.4k tokens
SKILL.md length
693 words
Files
3 (incl. references)
Skills in repo
89
Repo updated
First seen
Licence
MIT

At a glance

Finds and calls paid market data capabilities through QVeris when free Vibe-Trading sources fall short, searching and inspecting before any paid execution.

  • Works in 3 steps: Discover with qveris_search → Inspect with qveris_inspect → Call with qveris_execute
  • Pulling options chains or Greeks that free sources lack
  • SKILL.md covers Workflow, Choosing a Capability, Billing and Modes and Truncation, plus 2 more sections
  • Needs QVERIS_API_KEY

What it does

QVeris is a paid capability marketplace covering market, fundamental, macro, derivatives, crypto, China and Hong Kong, news, filings and alternative data. The skill says to use it when the built-in free sources cannot cover a dataset, when the user asks for QVeris, or when a premium provider is needed for things like options Greeks or analyst and calendar feeds. Routine OHLCV stays on the free loader chain.

The workflow has three tool calls: qveris_search to find candidates with provider, parameters, expected cost and success statistics; qveris_inspect to confirm the parameter schema before any paid call; and qveris_execute, used only after the user has enabled QVeris. Candidates are chosen by success rate, expected cost, provider fit and parameter clarity, since tools with similar names can differ widely in quality. Reference files cover coverage and the REST API.

When your agent uses it

  • Pulling options chains or Greeks that free sources lack
  • Comparing premium data providers for one dataset
  • Getting China or Hong Kong market data beyond the free loaders
  • Checking a capability's cost and success rate before paying

Example prompts

  • “Find a capability for the US listed options chain with implied volatility Greeks for AAPL.”
  • “Use QVeris to get the China A share northbound fund flow daily.”
  • “Search QVeris for FRED CPI and Treasury yield curve series and show the expected costs.”

Requirements

  • A QVeris account, enabled in Vibe-Trading

Workflow steps

3 steps, taken from the step headings in SKILL.md.

  1. Discover with qveris_search
  2. Inspect with qveris_inspect
  3. Call with qveris_execute

What it can do on your machine

Read from SKILL.md and the folder at commit b1f6ce7. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    No scripts in the folder and no shell commands in SKILL.md.

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    Links to these hosts (documentation or services it may open):

    • qveris.ai

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names these keys or tokens, usually read from environment variables:

    • QVERIS_API_KEY

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

QVeris Data Marketplace loads about 1.4k tokens when it runs, and up to ~5.3k if it reads all its reference files. Until then it costs about 50 tokens; SKILL.md has 693 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~50
When it runs · the whole SKILL.md, loaded when a task matches
~1.4k
With references · SKILL.md plus every file in references/, read only if the agent opens them
~5.3k

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

The full file from HKUDS/Vibe-Trading at commit b1f6ce7, republished under its MIT licence (© HKUDS). 693 words, ~1,358 tokens.

Download SKILL.mdSave it as .claude/skills/qveris/SKILL.md (or your agent's skills folder). This skill also uses 2 other files; get the full folder from GitHub.
name
qveris
description
Paid capability marketplace for global multi-asset data; use it when free Vibe-Trading sources lack coverage, depth, or provider quality, and keep free sources as the default for routine OHLCV.
category
data-source

QVeris

QVeris is a paid capability marketplace for global market, fundamental, macro, derivatives, crypto, China/HK, news, filings, and alternative-data calls. Use it when the built-in free sources cannot cover the requested dataset, when the user explicitly asks for QVeris, or when a premium provider is needed for depth such as options Greeks, analyst/calendar feeds, broad provider comparison, or paid China/HK/global coverage. For ordinary OHLCV, keep source: "auto" on the free loader chain unless the user explicitly selects source: "qveris".

Signup link: QVeris via Vibe-Trading. Invite code fallback: Vyjjo5G_1cAHJA.

Workflow

Call qveris_search first. Search is free and returns candidate capabilities with tool_id, provider, parameters, examples, expected_cost, billing rule, categories, and stats such as success_rate and average execution time.

Good queries are concrete:

  • US listed options chain implied volatility Greeks AAPL
  • Hong Kong market daily OHLCV financial statements
  • FRED CPI Treasury yield curve macro series
  • China A share northbound fund flow daily
2. Inspect with qveris_inspect

Call qveris_inspect on one or more tool_id values before any paid call. Inspect is free and returns the fuller parameter schema and sample parameters. Use it to verify required parameters, enum values, date formats, and output shape before execution.

3. Call with qveris_execute

Call qveris_execute only after the user has enabled QVeris and the tool has been inspected. Pass the inspected tool_id, the exact parameters, and a reasonable max_response_size. Use session_id and search_id when available so usage can be reconciled later.

Choosing a Capability

Prefer the candidate with the best combination of:

  1. High stats.success_rate.
  2. Low expected_cost for equivalent data.
  3. Provider fit for the task: official or specialist sources before generic mirrors when the figure matters.
  4. Parameter clarity: required fields and examples should match the user's requested asset, date range, and granularity.

Do not assume tools with similar names are interchangeable. The measured catalog has very large quality variance inside the same category; design notes recorded FMP tools ranging from near-zero to 100% success and some tradefeeds tools at 0%. Surface success_rate and expected_cost in the answer whenever the user is choosing among paid options.

Show full SKILL.md (347 more words)Show less

Billing and Modes

  • The default free route is Vibe-Trading's built-in public data stack; QVeris tools are unavailable in mode="free".
  • Discover (qveris_search) and inspect (qveris_inspect) are free only after the user explicitly enables the paid QVeris route.
  • Execute (qveris_execute) is paid only when the provider call is billable.
  • Failed calls, empty results, and parameter errors are not charged by the QVeris contract; observed missing-parameter calls returned success=false, cost=0.0, status=not_charged, and unchanged balance.
  • mode="free" means the original free public-data path stays active and QVeris is hidden from agent/tool/backtest routing.
  • mode="paid" permits QVeris discovery, inspect, and execute calls, bounded by budget_credits_per_session. Only a flat per-call quote (24.2 credits, 1 credits/call) can be reserved against that budget. A quote priced per result, row or value is refused as quote_not_bounded, because its leading number is not the bill: 1 credits/result charged 9.66 credits for one stock-year.
  • source: "qveris" in a backtest or get_market_data serves crypto, forex, futures and macro bars only. Stocks, ETFs and other markets with splits and dividends are refused: the loader picks a capability by search rank, which ignores price adjustment, so it could not say how the bars were adjusted.
  • Never hide cost: every successful execute result should preserve cost and remaining_credits for the user.

Configuration can come from QVERIS_API_KEY / QVERIS_BASE_URL, or from Settings -> QVeris / vibe-trading data mode paid. If QVeris is disabled, in free mode, or no API key is configured, the tools should be treated as unavailable.

Truncation

qveris_execute accepts max_response_size (20480 default, -1 means do not ask QVeris to truncate). When a response is too large, QVeris returns a result object containing a message, truncated_content, and full_content_file_url. If the full JSON is required, fetch that signed URL and use the full payload. If a summary is enough, cite that the response was truncated and work only from truncated_content.

Balance and Usage

Check balance and recent usage through:

  • Web: Settings -> QVeris.
  • CLI: vibe-trading data status or vibe-trading data usage.
  • Agent/API tools: status is derived from free search/ledger/usage endpoints.

For reconciliation, prefer execution_id, tool_id, charge_outcome, cost, and remaining_credits over text summaries.

References

© HKUDS, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

SKILL.md and 2 other files (references) in agent/src/skills/qveris of HKUDS/Vibe-Trading.

  • SKILL.md
  • references/coverage.md
  • references/rest-api.md

Open the folder on GitHubat commit b1f6ce7

Compare with similar skills

QVeris Data Marketplace next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

QVeris Data Marketplace compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
QVeris Data Marketplace this skillHKUDS/Vibe-Trading35k—~1.4kAutomated safety check: PassMIT
A-Share Daily Reviewqusong0627/QuantMind1.7k—~1.9kAutomated safety check: PassAGPL-3.0
Financial Researchfirecrawl/web-agent1.2k—~1.1kAutomated safety check: PassMIT
Alpha Desk Investment ResearchJingHao-Leon/dsh-alpha-desk181—~1.3kAutomated safety check: NotesMIT
Quant Buddy Market Data and Backtestingpseudo-longinus/quant-buddy-skills193—~11kAutomated safety check: PassMIT
Senpi Market PulseSenpi-ai/senpi-skills134—~4.9kAutomated safety check: PassApache-2.0

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Questions about QVeris Data Marketplace

What does QVeris Data Marketplace do?

Finds and calls paid market data capabilities through QVeris when free Vibe-Trading sources fall short, searching and inspecting before any paid execution. QVeris is a paid capability marketplace covering market, fundamental, macro, derivatives, crypto, China and Hong Kong, news, filings and alternative data. The skill says to use it when the built-in free sources cannot cover a dataset, when the user asks for QVeris, or when a premium provider is needed for things like options Greeks or analyst and calendar feeds.

When should I use QVeris Data Marketplace?

QVeris Data Marketplace fits situations like: pulling options chains or Greeks that free sources lack; comparing premium data providers for one dataset; getting China or Hong Kong market data beyond the free loaders; checking a capability's cost and success rate before paying.

How do I install QVeris Data Marketplace in Claude Code?

Run `npx skills add HKUDS/Vibe-Trading --skill qveris -a claude-code`. Or copy the skill folder (agent/src/skills/qveris in HKUDS/Vibe-Trading) into .claude/skills/qveris in your project. Claude Code loads it when a task matches its description.

How do I install QVeris Data Marketplace in Codex?

Run `npx skills add HKUDS/Vibe-Trading --skill qveris -a codex`. Or copy the skill folder (agent/src/skills/qveris in HKUDS/Vibe-Trading) into .agents/skills/qveris in your project. Codex loads it when a task matches its description.

Can I use QVeris Data Marketplace in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add HKUDS/Vibe-Trading --skill qveris -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/qveris, .gemini/skills/qveris, .github/skills/qveris and .opencode/skills/qveris in your project.

What does QVeris Data Marketplace need to run?

Going by SKILL.md and its folder, QVeris Data Marketplace needs credentials named QVERIS_API_KEY. Our summary lists: A QVeris account, enabled in Vibe-Trading.

Does QVeris Data Marketplace access the network?

SKILL.md names 1 domain. As links in the text: qveris.ai. This is read from the text; nothing was executed.

Is QVeris Data Marketplace safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.

What licence does QVeris Data Marketplace use?

QVeris Data Marketplace is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does QVeris Data Marketplace use?

About 1.4k tokens (SKILL.md is roughly 5.4k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full. Its references folder adds about 3.9k tokens, read only when the agent opens those files.

What are the alternatives to QVeris Data Marketplace?

Skills that share tags, products or a category with QVeris Data Marketplace: A-Share Daily Review (qusong0627/QuantMind, 1.7k stars), Financial Research (firecrawl/web-agent, 1.2k stars), Alpha Desk Investment Research (JingHao-Leon/dsh-alpha-desk, 181 stars) and Quant Buddy Market Data and Backtesting (pseudo-longinus/quant-buddy-skills, 193 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains QVeris Data Marketplace?

HKUDS (a GitHub organization) maintains it in HKUDS/Vibe-Trading, which has 35,097 GitHub stars. The repository holds 89 skills in this directory. The repository was last updated on October 9, 2026.

Source: HKUDS/Vibe-Trading on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.