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 commodity-analysisgit 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/commodity-analysis)<a href="https://agentmods.dev/skills/skloxo/tidetrading/commodity-analysis"><img src="https://agentmods.dev/badge/skills/skloxo/tidetrading/commodity-analysis/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/commodity-analysis"><img src="https://agentmods.dev/badge/skills/skloxo/tidetrading/commodity-analysis.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 | $0.00037 | $0.02134 |
| Opus 5.5 | $0.00015 | $0.00854 |
| Sonnet 5.5 | $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 1mo 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 commodity-analysis — 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 — 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.
- 1mo ago First seen · 207 lines · 37 tokens per session scan A 1719e2291598
commodity-analysis is a skill published in the GitHub repository skloxo/TideTrading (13 stars, last pushed 2d ago), licensed MIT. It adds 37 tokens to every session and 2,134 once invoked, about $0.0001 per session on Opus 5.5. A static security scan graded it A with 0 findings. It is 100% identical to commodity-analysis, differing in 0 lines, and is treated as a copy.
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