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 adr-hsharegit 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/adr-hshare)<a href="https://agentmods.dev/skills/hkuds/vibe-trading/adr-hshare"><img src="https://agentmods.dev/badge/skills/hkuds/vibe-trading/adr-hshare/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/adr-hshare"><img src="https://agentmods.dev/badge/skills/hkuds/vibe-trading/adr-hshare.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- Snyk pass
- 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 | $0.00050 | $0.02849 |
| Opus 5 | $0.00025 | $0.01425 |
| Sonnet 5 | $0.00010 | $0.00570 |
| Haiku 4.5 | $0.00005 | $0.00285 |
Grade A, and why
adr-hshare 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 11d 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.
Copies of this mod
1 near-identical copy found in the catalogue:
- adr-hshare — 100% identical, 0 lines differ
How it starts
The opening of the file, as written. The whole thing — 226 lines — stays where its author put it; the contents beside it link to each section on GitHub.
ADR / H-Share / A-Share Cross-Listing Analysis
Overview
Many Chinese companies are listed on multiple exchanges — A-shares in Shanghai/Shenzhen, H-shares in Hong Kong, and ADRs in the US. Pricing gaps between these listings create arbitrage opportunities and reveal market-specific sentiment differences. This skill provides frameworks for analyzing cross-listing premiums, identifying arbitrage signals, and assessing delisting risk for US-listed Chinese ADRs.
Core Concepts
1. Cross-Listing Structures
| Structure | Description | Examples |
|---|---|---|
| A + H dual-listed | Same company listed on both A-share and HK exchange | PetroChina (601857.SH / 0857.HK), ICBC (601398.SH / 1398.HK) |
| H + ADR dual-listed | HK-listed with US ADR | Alibaba (9988.HK / BABA), JD.com (9618.HK / JD) |
| A + H + ADR triple-listed | All three markets | China Life (601628.SH / 2628.HK / LFC) |
| HK primary + US secondary | Primary listing in HK, secondary ADR | Tencent (0700.HK / TCEHY OTC) |
| US primary → HK secondary | Originally US, added HK listing | Alibaba (BABA → 9988.HK), Baidu (BIDU → 9888.HK) |
2. AH Premium Analysis
AH Premium = (A-share price / H-share price in CNY terms - 1) × 100%
def calculate_ah_premium(a_price_cny, h_price_hkd, usdcny, usdhkd):
"""Calculate AH premium for a dual-listed stock."""
h_price_cny = h_price_hkd * (usdcny / usdhkd) # Convert HKD to CNY
ah_premium = (a_price_cny / h_price_cny - 1) * 100
return ah_premium
# Example: PetroChina
# A-share: 8.50 CNY, H-share: 6.20 HKD
# USDCNY: 7.25, USDHKD: 7.82
# H in CNY: 6.20 * (7.25/7.82) = 5.75 CNY
# AH Premium: (8.50/5.75 - 1) * 100 = 47.8%
AH Premium signal interpretation:
| Premium Level | Interpretation | Action |
|---|---|---|
| >50% | Extreme A-share premium; A-share speculative bubble or H-share extreme undervaluation | Strong: buy H, sell/avoid A |
| 30-50% | Elevated premium; normal for high-retail-participation names | Moderate: favor H if fundamentals same |
| 10-30% | Normal range for most AH pairs | Neutral; no strong arbitrage signal |
| 0-10% | Compressed premium; A-shares relatively cheap | Unusual; investigate catalyst |
| <0% | H-share premium over A-share | Very rare; usually near-term event-driven |
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.
- 11d ago First seen · 226 lines · 50 tokens per session scan A e222f561d645
adr-hshare is a skill published in the GitHub repository HKUDS/Vibe-Trading (33,177 stars, last pushed yesterday), licensed MIT. It adds 50 tokens to every session and 2,849 once invoked, about $0.0003 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 2026-08-30.
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