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 hk-connect-flowgit 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/hk-connect-flow)<a href="https://agentmods.dev/skills/hkuds/vibe-trading/hk-connect-flow"><img src="https://agentmods.dev/badge/skills/hkuds/vibe-trading/hk-connect-flow/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/hk-connect-flow"><img src="https://agentmods.dev/badge/skills/hkuds/vibe-trading/hk-connect-flow.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 | $0.00046 | $0.02775 |
| Opus 5 | $0.00023 | $0.01388 |
| Sonnet 5 | $0.00009 | $0.00555 |
| Haiku 4.5 | $0.00005 | $0.00278 |
Grade A, and why
hk-connect-flow 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:
- hk-connect-flow — 100% identical, 0 lines differ
How it starts
The opening of the file, as written. The whole thing — 248 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Stock Connect Fund Flow Analysis
Overview
Analyze capital flows through the Shanghai-Hong Kong and Shenzhen-Hong Kong Stock Connect programs. Northbound flows (foreign capital into A-shares) are a key institutional sentiment indicator for the China market; Southbound flows (mainland capital into Hong Kong) reveal mainland investor preference for HK-listed assets. Together they provide a real-time cross-border capital positioning signal.
Core Concepts
1. Stock Connect Architecture
| Channel | Direction | What It Measures |
|---|---|---|
| Shanghai Connect Northbound | Foreign → A-shares (SSE) | Foreign institutional A-share appetite |
| Shenzhen Connect Northbound | Foreign → A-shares (SZSE) | Foreign institutional A-share appetite (growth bias) |
| Shanghai Connect Southbound | Mainland → HK (HKEX) | Mainland capital HK allocation |
| Shenzhen Connect Southbound | Mainland → HK (HKEX) | Mainland capital HK allocation |
Daily quota: Each channel has a daily net buy quota (~RMB 52B / HKD 42B). Quota utilization >50% = strong directional signal.
2. Northbound Flow Analysis (Foreign into A-shares)
Why Northbound matters:
- Foreign institutions (global funds, sovereign wealth funds, hedge funds) are considered "smart money" in A-shares
- Northbound holdings represent ~4-5% of A-share free-float market cap — small but marginal price-setters
- Northbound flow correlates with MSCI China index rebalancing and global EM allocation decisions
Northbound signal framework:
# Daily Northbound net buy signals
def northbound_signal(daily_net_buy_rmb_billion):
if daily_net_buy_rmb_billion > 10:
return "strong_foreign_buying" # Very large single-day inflow
elif daily_net_buy_rmb_billion > 5:
return "moderate_foreign_buying"
elif daily_net_buy_rmb_billion > 0:
return "mild_foreign_buying"
elif daily_net_buy_rmb_billion > -5:
return "mild_foreign_selling"
elif daily_net_buy_rmb_billion > -10:
return "moderate_foreign_selling"
else:
return "strong_foreign_selling" # Panic outflow
# Cumulative flow trend (more important than single-day)
def northbound_trend(flows_20d, flows_5d):
cum_20d = sum(flows_20d)
cum_5d = sum(flows_5d)
if cum_20d > 30 and cum_5d > 10:
return "sustained_accumulation" # Strong bullish for A-shares
elif cum_20d < -30 and cum_5d < -10:
return "sustained_distribution" # Bearish for A-shares
elif cum_20d > 0 and cum_5d < 0:
return "accumulation_pausing" # Watch for reversal
elif cum_20d < 0 and cum_5d > 0:
return "distribution_pausing" # Possible bottom formation
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 · 248 lines · 46 tokens per session scan A 3c8547a0cb81
hk-connect-flow is a skill published in the GitHub repository HKUDS/Vibe-Trading (33,177 stars, last pushed yesterday), licensed MIT. It adds 46 tokens to every session and 2,775 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 2026-08-30.
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