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 skloxo/TideTrading --skill us-etf-flowgit clone --depth 1 https://github.com/skloxo/TideTradingWrote 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/skloxo/tidetrading/us-etf-flow)<a href="https://agentmods.dev/skills/skloxo/tidetrading/us-etf-flow"><img src="https://agentmods.dev/badge/skills/skloxo/tidetrading/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/skloxo/tidetrading/us-etf-flow"><img src="https://agentmods.dev/badge/skills/skloxo/tidetrading/us-etf-flow.svg" alt="Reviewed on agentmods" width="80" height="20"></a>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 7d 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.
This is a copy
100% identical to us-etf-flow — 0 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.
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.
- 7d ago First seen · 273 lines · 38 tokens per session scan A f586c01a0117
us-etf-flow is a skill published in the GitHub repository skloxo/TideTrading (10 stars, last pushed 4d ago), 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. It is 100% identical to us-etf-flow, differing in 0 lines, and is treated as a copy.
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