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 us-etf-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/us-etf-flow)<a href="https://agentmods.dev/skills/hkuds/vibe-trading/us-etf-flow"><img src="https://agentmods.dev/badge/skills/hkuds/vibe-trading/us-etf-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/us-etf-flow"><img src="https://agentmods.dev/badge/skills/hkuds/vibe-trading/us-etf-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 | $0.00038 | $0.02753 |
| Opus 5 | $0.00019 | $0.01376 |
| Sonnet 5 | $0.00008 | $0.00551 |
| Haiku 4.5 | $0.00004 | $0.00275 |
Grade A, and why
us-etf-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 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.
Copies of this mod
1 near-identical copy found in the catalogue:
- us-etf-flow — 100% identical, 0 lines differ
How it starts
The opening of the file, as written. The whole thing — 273 lines — stays where its author put it; the contents beside it link to each section on GitHub.
US ETF Flow & Sector Breadth Analysis
Overview
Track capital flows through US ETFs to identify institutional positioning, sector rotation trends, and risk appetite shifts. ETF flows are a real-time proxy for institutional capital allocation — unlike 13F filings (45-day lag), ETF creation/redemption data is available daily.
Core Concepts
1. ETF Flow Mechanics
Creation / Redemption process:
- Inflows (creation): Authorized Participants (APs) deliver baskets of underlying securities to the ETF issuer → receive new ETF shares → sell on exchange. This happens when ETF trades at a premium to NAV.
- Outflows (redemption): APs buy ETF shares on exchange → redeem with issuer for underlying securities → sell securities. This happens when ETF trades at a discount to NAV.
- Signal interpretation: sustained large inflows = institutional demand; sustained large outflows = institutional liquidation.
Key distinction:
- ETF price movement ≠ ETF flow. Price can rise on low volume (momentum). Flows require actual capital commitment.
- Flows are a quantity signal (how much money is moving), not a price signal.
2. Major ETF Flow Categories
Broad Market ETFs
| ETF | Tracking Index | AUM | Flow Signal |
|---|---|---|---|
| SPY | S&P 500 | ~$500B | Broadest equity risk appetite |
| IVV | S&P 500 | ~$400B | Long-term institutional allocation |
| VOO | S&P 500 | ~$400B | Retail + advisor allocation |
| QQQ | Nasdaq 100 | ~$250B | Tech / growth appetite |
| IWM | Russell 2000 | ~$60B | Small-cap risk appetite |
| DIA | Dow Jones 30 | ~$30B | Value / blue-chip sentiment |
Interpretation rules:
# Broad market flow signals
if spy_flow > 0 and iwm_flow > 0:
signal = "risk_on" # Both large and small cap getting inflows
elif spy_flow > 0 and iwm_flow < 0:
signal = "quality_flight" # Money rotating to large-cap safety
elif spy_flow < 0 and iwm_flow < 0:
signal = "risk_off" # Broad equity outflows
elif spy_flow < 0 and iwm_flow > 0:
signal = "risk_seeking" # Rotation from large to small (rare, usually early cycle)
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 · 273 lines · 38 tokens per session scan A f586c01a0117
us-etf-flow is a skill published in the GitHub repository HKUDS/Vibe-Trading (33,258 stars, last pushed today), licensed MIT. It adds 38 tokens to every session and 2,753 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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