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 stablecoin-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/stablecoin-flow)<a href="https://agentmods.dev/skills/hkuds/vibe-trading/stablecoin-flow"><img src="https://agentmods.dev/badge/skills/hkuds/vibe-trading/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/hkuds/vibe-trading/stablecoin-flow"><img src="https://agentmods.dev/badge/skills/hkuds/vibe-trading/stablecoin-flow.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- Snyk warn
- 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 | $0.00041 | $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.
Copies of this mod
1 near-identical copy found in the catalogue:
- stablecoin-flow — 100% identical, 0 lines differ
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 HKUDS/Vibe-Trading (33,177 stars, last pushed today), 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. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-09-03.
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