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 stablecoin-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/stablecoin-flow)<a href="https://agentmods.dev/skills/skloxo/tidetrading/stablecoin-flow"><img src="https://agentmods.dev/badge/skills/skloxo/tidetrading/stablecoin-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/stablecoin-flow"><img src="https://agentmods.dev/badge/skills/skloxo/tidetrading/stablecoin-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 | $0.00041 | $0.02578 |
| Opus 5 | $0.00020 | $0.01289 |
| Sonnet 5 | $0.00008 | $0.00516 |
| Haiku 4.5 | $0.00004 | $0.00258 |
Grade A, and why
stablecoin-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 stablecoin-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 — 250 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Stablecoin Flow Analysis
Overview
Track stablecoin supply changes, exchange reserve movements, and on-chain velocity to gauge crypto market capital flows. Stablecoins (USDT, USDC, DAI, etc.) are the "dry powder" of crypto — minting signals new capital entering, burning signals capital leaving, and exchange reserve changes reveal buying/selling intent.
Core Concepts
1. Stablecoin Supply as Market Indicator
Total stablecoin market cap is the single best proxy for crypto market liquidity.
# Stablecoin supply growth → crypto market liquidity expansion
# Historical correlation: BTC price and total stablecoin supply r > 0.85
stablecoin_supply = {
"USDT": 140_000_000_000, # ~$140B (dominant, ~65% share)
"USDC": 45_000_000_000, # ~$45B (~20% share)
"DAI": 5_000_000_000, # ~$5B (decentralized)
"FDUSD": 3_000_000_000, # ~$3B (Binance ecosystem)
"USDS": 2_000_000_000, # ~$2B (Sky/MakerDAO)
}
total = sum(stablecoin_supply.values())
Supply change signals:
| Supply Change (30d) | Interpretation | Signal |
|---|---|---|
| > +5% | Rapid minting, new capital rushing in | Strong bullish |
| +2% to +5% | Steady capital inflow | Bullish |
| 0% to +2% | Stable, no significant new capital | Neutral |
| -2% to 0% | Mild redemptions | Cautious |
| < -2% | Capital exiting crypto ecosystem | Bearish |
2. Mint/Burn Event Analysis
USDT (Tether) minting signals:
- Tether mints new USDT → deposits to exchanges → precedes buying activity
- Large mints ($500M+) historically precede BTC rallies by 1-7 days
- Minting often happens in batches: "pre-mint to Tether treasury" → later distributed to exchanges
USDC (Circle) signals:
- USDC is more regulated and institutional-oriented
- USDC net minting = institutional/TradFi capital entering
- USDC net burning = institutional capital exiting (redeeming for USD)
- USDC/USDT ratio rising = more institutional participation (bullish for market maturity)
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 · 250 lines · 41 tokens per session scan A 50a0f36b6667
stablecoin-flow is a skill published in the GitHub repository skloxo/TideTrading (10 stars, last pushed 3d ago), licensed MIT. It adds 41 tokens to every session and 2,578 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 stablecoin-flow, differing in 0 lines, and is treated as a copy.
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