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 Signal-Execution-Labs/forex-trading-ai-agent --skill fear-greed-indexgit clone --depth 1 https://github.com/Signal-Execution-Labs/forex-trading-ai-agentWrote 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/signal-execution-labs/forex-trading-ai-agent/fear-greed-index)<a href="https://agentmods.dev/skills/signal-execution-labs/forex-trading-ai-agent/fear-greed-index"><img src="https://agentmods.dev/badge/skills/signal-execution-labs/forex-trading-ai-agent/fear-greed-index/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/signal-execution-labs/forex-trading-ai-agent/fear-greed-index"><img src="https://agentmods.dev/badge/skills/signal-execution-labs/forex-trading-ai-agent/fear-greed-index.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- 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 | $0.00000 | $0.01055 |
| Opus 5 | $0.00000 | $0.00528 |
| Sonnet 5 | $0.00000 | $0.00211 |
| Haiku 4.5 | $0.00000 | $0.00105 |
Grade A, and why
fear-greed-index 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 13d 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:
- fear-greed-index — 100% identical, 0 lines differ
How it starts
The opening of the file, as written. The whole thing — 162 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Fear & Greed Index
Multi-factor sentiment indicator for market timing.
Overview
Combine multiple sentiment signals into a single 0-100 score. Contrarian indicator: extreme fear = buying opportunity, extreme greed = selling opportunity.
Index Components
1. Volatility (25%)
VIX / Crypto Volatility Index
├── Low Vol (<15): Greed
├── Normal (15-25): Neutral
└── High Vol (>25): Fear
Current: 32 → Fear (-20 points)
2. Market Momentum (25%)
Price vs Moving Averages
├── Above 200 SMA: Greed
├── Between 50-200: Neutral
└── Below 50 SMA: Fear
Current: Above 200 SMA → Greed (+20 points)
3. Social Sentiment (15%)
Twitter/Reddit Analysis
├── Bullish mentions >60%: Greed
├── Mixed (40-60%): Neutral
└── Bearish >60%: Fear
Current: 72% bullish → Extreme Greed (+15 points)
4. Dominance (10%)
BTC Dominance
├── Rising + BTC up: Greed
├── Stable: Neutral
└── Rising + BTC down: Fear (flight to safety)
Current: 48% stable → Neutral (0 points)
5. Volume (10%)
Trading Volume vs Average
├── 2x above avg: Extreme (direction matters)
├── Normal range: Neutral
└── Below average: Caution
Current: 1.3x average → Slight Greed (+5 points)
6. Options Put/Call (10%)
Put/Call Ratio
├── <0.7: Extreme Greed
├── 0.7-1.0: Neutral
└── >1.0: Fear
Current: 0.65 → Greed (+8 points)
7. Google Trends (5%)
Search Interest
├── "Buy Bitcoin" trending: Retail FOMO
├── "Bitcoin dead" trending: Capitulation
└── Normal: Neutral
Current: "Buy crypto" +40% → Greed (+4 points)
Score Interpretation
Fear & Greed Index: 67 (GREED)
0-25: Extreme Fear 🟢 BUY zone
26-45: Fear 🟢 Accumulate
46-55: Neutral ⚪ Hold
56-75: Greed 🟡 Caution
76-100: Extreme Greed 🔴 Take profits
Historical accuracy:
- Buying at <25: 78% profitable (1 year)
- Selling at >75: 71% avoided drawdown
Historical Data
Fear & Greed Timeline:
100 ┤ ╭──╮
│ ╭──╯ ╰──
75 ┤ ╭───────╯
│ ╭───╯
50 ┤────╯
│╭──╯
25 ┤╯
└────────────────────────
Nov Dec Jan Feb
Notable Points:
- Nov 15: 18 (Extreme Fear) → +45% in 30d
- Jan 20: 92 (Extreme Greed) → -22% in 14d
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.
- 13d ago First seen · 162 lines · 0 tokens per session scan A c07f2ccaf20a
fear-greed-index is a skill published in the GitHub repository Signal-Execution-Labs/forex-trading-ai-agent (136 stars, last pushed 9d ago), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 1,055 tokens. 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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