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 ai-score-enginegit 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/ai-score-engine)<a href="https://agentmods.dev/skills/signal-execution-labs/forex-trading-ai-agent/ai-score-engine"><img src="https://agentmods.dev/badge/skills/signal-execution-labs/forex-trading-ai-agent/ai-score-engine/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/ai-score-engine"><img src="https://agentmods.dev/badge/skills/signal-execution-labs/forex-trading-ai-agent/ai-score-engine.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 | $0.00820 |
| Opus 5 | $0.00000 | $0.00410 |
| Sonnet 5 | $0.00000 | $0.00164 |
| Haiku 4.5 | $0.00000 | $0.00082 |
Grade A, and why
ai-score-engine 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 9d 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:
- ai-score-engine — 100% identical, 0 lines differ
How it starts
The opening of the file, as written. The whole thing — 135 lines — stays where its author put it; the contents beside it link to each section on GitHub.
AI Score Engine
Skill #69 - Quant scoring system (0-100) for any asset
Overview
AI-powered scoring engine that evaluates assets from 0-100 based on customizable rules. Combines technical, fundamental, and sentiment factors into a single actionable score.
Inspired by TradingView's AI trading concepts and quantitative factor models.
Features
- Multi-Factor Scoring: Technical + Fundamental + Sentiment
- Custom Rules: Define your own scoring criteria
- Real-Time Updates: Continuous score recalculation
- Batch Screening: Score entire watchlists
- Signal Generation: Long/Short/Flat based on thresholds
- Historical Tracking: Score evolution over time
Usage
# Score a single asset
kit skill ai-score --symbol BTC/USDT
# Score with custom model
kit skill ai-score --symbol ETH/USDT --model aggressive
# Batch scoring
kit skill ai-score --watchlist crypto_top_20 --sort desc
Configuration
ai_score_engine:
weights:
technical: 0.40
momentum: 0.25
sentiment: 0.20
fundamental: 0.15
thresholds:
strong_buy: 80
buy: 60
neutral: 40
sell: 20
strong_sell: 0
technical_factors:
- trend_strength: 15%
- rsi_position: 10%
- macd_signal: 10%
- volume_trend: 5%
momentum_factors:
- price_momentum: 10%
- relative_strength: 10%
- breakout_potential: 5%
sentiment_factors:
- social_sentiment: 10%
- news_sentiment: 5%
- fear_greed: 5%
Score Interpretation
| Score | Rating | Signal | Color |
|---|---|---|---|
| 80-100 | Strong Buy | 🟢 LONG | Green |
| 60-79 | Buy | 🟢 LONG | Light Green |
| 40-59 | Neutral | ⚪ FLAT | Gray |
| 20-39 | Sell | 🔴 SHORT | Light Red |
| 0-19 | Strong Sell | 🔴 SHORT | Red |
Example Output
{
"symbol": "BTC/USDT",
"score": 73,
"rating": "Buy",
"signal": "LONG",
"breakdown": {
"technical": 82,
"momentum": 68,
"sentiment": 71,
"fundamental": 65
},
"key_factors": [
"Strong uptrend on 4H",
"RSI recovering from oversold",
"Social sentiment bullish",
"Volume increasing"
],
"confidence": 0.78,
"last_update": "2026-02-12T05:22:00Z"
}
What ships with it
1 file beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
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.
- 9d ago First seen · 135 lines · 0 tokens per session scan A 9bad633905a4
ai-score-engine 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 820 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 2026-09-03.
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