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 commodity-analysisgit 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/commodity-analysis)<a href="https://agentmods.dev/skills/hkuds/vibe-trading/commodity-analysis"><img src="https://agentmods.dev/badge/skills/hkuds/vibe-trading/commodity-analysis.svg" alt="Measured on agentmods" 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 | $0.00037 | $0.02134 |
| Opus 5 | $0.00018 | $0.01067 |
| Sonnet 5 | $0.00007 | $0.00427 |
| Haiku 4.5 | $0.00004 | $0.00213 |
Grade A, and why
commodity-analysis 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 8d 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:
- commodity-analysis — 100% identical, 0 lines differ
How it starts
The opening of the file, as written. The whole thing — 207 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Commodity Analysis
Overview
Analyze commodities from four dimensions — supply-demand balance, pricing model, inventory cycle, and futures structure — and output directional signals suitable for backtesting. Focuses on crude oil (global pricing anchor), gold (safe haven + inflation hedge), and copper (economic barometer).
Core Concepts
1. Crude Oil Supply-Demand Balance
Key supply-side variables:
| Variable | Data Source | Frequency | Direction of Impact |
|---|---|---|---|
| OPEC production | OPEC monthly report | Monthly | Production cuts → oil price ↑ |
| US shale output | EIA weekly report | Weekly | Higher output → oil price ↓ |
| Rig count (Baker Hughes) | Baker Hughes | Weekly | Leads production by 3-6 months |
| Strategic Petroleum Reserve (SPR) | EIA | Weekly | SPR release → short-term oil price ↓ |
Key demand-side variables:
- IEA global oil demand forecast (quarterly)
- China crude imports (customs monthly data)
- US gasoline demand (EIA weekly report, implied demand)
- Global PMI (leads demand by 1-2 months)
Supply-demand balance signals:
# Simplified supply-demand judgment
if opec_compliance > 90% and us_rig_count_declining:
supply_signal = "tight" # bullish for oil
elif opec_compliance < 80% and us_production_rising:
supply_signal = "loose" # bearish for oil
if global_pmi > 50 and china_import_yoy > 5%:
demand_signal = "strong" # bullish for oil
elif global_pmi < 48 and china_import_yoy < 0:
demand_signal = "weak" # bearish for oil
2. Gold Pricing Framework
Four-factor model:
| Factor | Weight | Logic | Indicator |
|---|---|---|---|
| Real rates | 40% | Real rates ↓ → lower opportunity cost of holding gold → gold ↑ | 10Y TIPS yield |
| US dollar index | 25% | USD ↓ → gold becomes cheaper in pricing terms → gold ↑ | DXY |
| Safe-haven demand | 20% | Risk ↑ → safe-haven buying → gold ↑ | VIX + geopolitical risk index |
| Central-bank buying | 15% | Central-bank purchases → structural demand support | WGC quarterly report |
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.
- 8d ago First seen · 207 lines · 37 tokens per session scan A 1719e2291598
commodity-analysis is a skill published in the GitHub repository HKUDS/Vibe-Trading (32,874 stars, last pushed yesterday), licensed MIT. It adds 37 tokens to every session and 2,134 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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