A-Share Daily Review
qusong0627/QuantMind
Produces a post-market review report for the China A-share market from local QuantDB data, news sentiment and model signals, ending in a next-day direction call.
Finds and calls paid market data capabilities through QVeris when free Vibe-Trading sources fall short, searching and inspecting before any paid execution.
$ npx skills add HKUDS/Vibe-Trading --skill qveris -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install HKUDS/Vibe-Trading qveris --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ 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-srcUse ~/.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/
Install the "qveris" agent skill from https://github.com/HKUDS/Vibe-Trading/tree/main/agent/src/skills/qveris into .claude/skills/qveris/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "qveris", then confirm the skill loads.Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$skill-installer install https://github.com/HKUDS/Vibe-Trading/tree/main/agent/src/skills/qverisType this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.
$ npx skills add HKUDS/Vibe-Trading --skill qveris -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install HKUDS/Vibe-Trading qveris --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/HKUDS/Vibe-Trading.git skills-src && mkdir -p .agents/skills && cp -r skills-src/agent/src/skills/qveris .agents/skills/qveris && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "qveris" agent skill from https://github.com/HKUDS/Vibe-Trading/tree/main/agent/src/skills/qveris into .agents/skills/qveris/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "qveris", then confirm the skill loads.Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add HKUDS/Vibe-Trading --skill qveris -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install HKUDS/Vibe-Trading qveris --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/HKUDS/Vibe-Trading.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/agent/src/skills/qveris .cursor/skills/qveris && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "qveris" agent skill from https://github.com/HKUDS/Vibe-Trading/tree/main/agent/src/skills/qveris into .cursor/skills/qveris/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "qveris", then confirm the skill loads.Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gemini skills install https://github.com/HKUDS/Vibe-Trading.git --path agent/src/skills/qveris--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add HKUDS/Vibe-Trading --skill qveris -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install HKUDS/Vibe-Trading qveris --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/HKUDS/Vibe-Trading.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/agent/src/skills/qveris .gemini/skills/qveris && rm -rf skills-srcUse ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.
Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/
Install the "qveris" agent skill from https://github.com/HKUDS/Vibe-Trading/tree/main/agent/src/skills/qveris into .gemini/skills/qveris/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "qveris", then confirm the skill loads.Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gh skill install HKUDS/Vibe-Trading qverisInstalls for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).
$ npx skills add HKUDS/Vibe-Trading --skill qveris -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/HKUDS/Vibe-Trading.git skills-src && mkdir -p .github/skills && cp -r skills-src/agent/src/skills/qveris .github/skills/qveris && rm -rf skills-srcUse ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.
GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/
Install the "qveris" agent skill from https://github.com/HKUDS/Vibe-Trading/tree/main/agent/src/skills/qveris into .github/skills/qveris/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "qveris", then confirm the skill loads.GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add HKUDS/Vibe-Trading --skill qveris -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install HKUDS/Vibe-Trading qveris --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/HKUDS/Vibe-Trading.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/agent/src/skills/qveris .opencode/skills/qveris && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "qveris" agent skill from https://github.com/HKUDS/Vibe-Trading/tree/main/agent/src/skills/qveris into .opencode/skills/qveris/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "qveris", then confirm the skill loads.OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
qverisFinds 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. 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.
3 steps, taken from the step headings in SKILL.md.
Read from SKILL.md and the folder at commit b1f6ce7. It shows what the files ask for, not the result of running them.
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.
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.
Links to these hosts (documentation or services it may open):
qveris.aiFrom URLs in SKILL.md, links to its own repository left out.
Names these keys or tokens, usually read from environment variables:
QVERIS_API_KEYFrom names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
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.
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.
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.
The full file from HKUDS/Vibe-Trading at commit b1f6ce7, republished under its MIT licence (© HKUDS). 693 words, ~1,358 tokens.
.claude/skills/qveris/SKILL.md (or your agent's skills folder). This skill also uses 2 other files; get the full folder from GitHub.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.
qveris_searchCall 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 AAPLHong Kong market daily OHLCV financial statementsFRED CPI Treasury yield curve macro seriesChina A share northbound fund flow dailyqveris_inspectCall 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.
qveris_executeCall 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.
Prefer the candidate with the best combination of:
stats.success_rate.expected_cost for equivalent data.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.
mode="free".qveris_search) and inspect (qveris_inspect) are free only after
the user explicitly enables the paid QVeris route.qveris_execute) is paid only when the provider call is billable.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.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.
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.
Check balance and recent usage through:
vibe-trading data status or vibe-trading data usage.For reconciliation, prefer execution_id, tool_id, charge_outcome, cost,
and remaining_credits over text summaries.
© HKUDS, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
SKILL.md and 2 other files (references) in agent/src/skills/qveris of HKUDS/Vibe-Trading.
Open the folder on GitHubat commit b1f6ce7
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.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| QVeris Data Marketplace this skillHKUDS/Vibe-Trading | 35k | — | ~1.4k | Automated safety check: Pass | MIT | |
| A-Share Daily Reviewqusong0627/QuantMind | 1.7k | — | ~1.9k | Automated safety check: Pass | AGPL-3.0 | |
| Financial Researchfirecrawl/web-agent | 1.2k | — | ~1.1k | Automated safety check: Pass | MIT | |
| Alpha Desk Investment ResearchJingHao-Leon/dsh-alpha-desk | 181 | — | ~1.3k | Automated safety check: Notes | MIT | |
| Quant Buddy Market Data and Backtestingpseudo-longinus/quant-buddy-skills | 193 | — | ~11k | Automated safety check: Pass | MIT | |
| Senpi Market PulseSenpi-ai/senpi-skills | 134 | — | ~4.9k | Automated safety check: Pass | Apache-2.0 |
qusong0627/QuantMind
Produces a post-market review report for the China A-share market from local QuantDB data, news sentiment and model signals, ending in a next-day direction call.
firecrawl/web-agent
Pulls a public company's latest 10-K or 10-Q figures and analyst consensus from SEC EDGAR and Yahoo Finance, then cross-checks the two sources.
JingHao-Leon/dsh-alpha-desk
Runs an AI investment research desk around the aihf hedge-fund CLI, with research cycles, backtests and iFinD data, under a risk gate and a rule against placing real trades.
pseudo-longinus/quant-buddy-skills
Queries A-share, Hong Kong and US stock quotes, valuation and financial data through the Quant Buddy API, and runs screening, factor calculation and strategy backtests.
Senpi-ai/senpi-skills
Produces a structured cross-asset read of the day across crypto, equities, indices, commodities and macro, using a bundled engine for data and ending with a signals brief.
Yourdaylight/stock_datasource
Queries historical A-share, Hong Kong stock, ETF and index data through an MCP server: daily K-lines, financial statements, market indicators and screening.
HKUDS/Vibe-Trading
Index of Eastmoney's free, no-token market data interfaces for China A-shares and Hong Kong stocks: fund flows, dragon-tiger lists, margin trading, reports and news.
HKUDS/Vibe-Trading
Retrieves public OKX cryptocurrency market data such as spot prices, candlesticks, funding rates and open interest through the OKX V5 REST API, with no authentication.
HKUDS/Vibe-Trading
Fetches U.S. SEC EDGAR data: resolves tickers to CIK numbers, lists recent 10-K, 10-Q and 8-K filings with document URLs, and pulls XBRL financial series.
HKUDS/Vibe-Trading
Predicts whether a mainland China A-share company risks an ST or *ST warning after its next annual report, using financial thresholds and Sina penalty records.
HKUDS/Vibe-Trading
Breaks a structural trend such as AI infrastructure into its physical supply chain and ranks lesser-known listed companies sitting on each bottleneck.
HKUDS/Vibe-Trading
Plans and drafts an eight-part, roughly 120k-word investigative series on one company, built around a strict fact-check pass rather than fast drafting.
Categories
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.
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.
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.
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.
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.
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.
SKILL.md names 1 domain. As links in the text: qveris.ai. This is read from the text; nothing was executed.
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.
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.
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.
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.
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.