Vibe-Trading is a personal trading agent that gives an AI system tools for market analysis, algorithmic trading, backtesting, and related workflows. It is for users who want an agent to research and evaluate trading strategies or manage simulated and other trading activities. The catalogue contains skills that expose these trading capabilities to compatible agents.
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.
npx skills add HKUDS/Vibe-Trading --skill qverisgit clone --depth 1 https://github.com/HKUDS/Vibe-TradingWrote 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.
[](https://agentmods.dev/skills/hkuds/vibe-trading/qveris)<a href="https://agentmods.dev/skills/hkuds/vibe-trading/qveris"><img src="https://agentmods.dev/badge/skills/hkuds/vibe-trading/qveris/github.svg" alt="Measured on agentmods" height="20"></a>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.
<a href="https://agentmods.dev/skills/hkuds/vibe-trading/qveris"><img src="https://agentmods.dev/badge/skills/hkuds/vibe-trading/qveris.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00045 | $0.01166 |
| Opus 5 | $0.00023 | $0.00583 |
| Sonnet 5 | $0.00009 | $0.00233 |
| Haiku 4.5 | $0.00005 | $0.00117 |
Grade A, and why
qveris 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 9d 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.
How it starts
The opening of the file, as written. The whole thing — 111 lines — stays where its author put it; the contents beside it link to each section on GitHub.
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
1. Discover with qveris_search
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 AAPLHong Kong market daily OHLCV financial statementsFRED CPI Treasury yield curve macro seriesChina 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:
- High
stats.success_rate. - Low
expected_costfor equivalent data. - Provider fit for the task: official or specialist sources before generic mirrors when the figure matters.
- Parameter clarity: required fields and examples should match the user's requested asset, date range, and granularity.
What ships with it
2 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
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.
- 9d ago First seen · 111 lines · 45 tokens per session scan A 44f7b151bed4
qveris is a skill published in the GitHub repository HKUDS/Vibe-Trading (33,258 stars, last pushed yesterday), licensed MIT. It adds 45 tokens to every session and 1,166 once invoked, about $0.0002 per session on Opus 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 2026-09-03.
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