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-screenergit 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-screener)<a href="https://agentmods.dev/skills/signal-execution-labs/forex-trading-ai-agent/ai-screener"><img src="https://agentmods.dev/badge/skills/signal-execution-labs/forex-trading-ai-agent/ai-screener/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-screener"><img src="https://agentmods.dev/badge/skills/signal-execution-labs/forex-trading-ai-agent/ai-screener.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 | $0.01627 |
| Opus 5 | $0.00000 | $0.00813 |
| Sonnet 5 | $0.00000 | $0.00325 |
| Haiku 4.5 | $0.00000 | $0.00163 |
Grade A, and why
ai-screener 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 12d 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-screener — 100% identical, 0 lines differ
How it starts
The opening of the file, as written. The whole thing — 219 lines — stays where its author put it; the contents beside it link to each section on GitHub.
AI Stock Screener Skill
AI-powered stock screening system inspired by TrendSpider, Trade Ideas (Holly AI), and Zen Ratings.
Overview
The AI Screener combines multiple analysis methods to identify high-potential trading opportunities:
- Multi-Factor Scoring: 100+ factors across Fundamentals, Technicals, Momentum, Sentiment
- Pattern Recognition: Automated chart pattern detection
- AI Neural Model: Trained on historical data to predict price movements
- Natural Language Queries: Ask in plain English (e.g., "show me oversold tech stocks with strong earnings")
- Real-time Scanning: Continuous market monitoring with alerts
Key Features
1. Multi-Factor Rating System (Inspired by Zen Ratings)
7 Component Grades:
| Grade | Factors | Weight |
|---|---|---|
| Fundamentals | P/E, P/B, ROE, Debt/Equity, Margins | 15% |
| Growth | Revenue growth, EPS growth, Guidance | 15% |
| Momentum | RSI, MACD, Price vs MAs, Volume | 20% |
| Safety | Beta, Drawdown history, Volatility | 10% |
| Sentiment | Analyst ratings, News sentiment, Social | 15% |
| Value | DCF vs Price, PEG, Dividend yield | 15% |
| AI Score | Neural network prediction | 10% |
Overall Rating: A (top 5%), B (top 20%), C (middle), D (bottom 20%), F (bottom 5%)
2. Automated Technical Analysis (Inspired by TrendSpider)
Auto-Detected Patterns:
- Head & Shoulders / Inverse
- Double Top / Double Bottom
- Triangles (Ascending, Descending, Symmetrical)
- Wedges (Rising, Falling)
- Flags and Pennants
- Cup and Handle
- Channels (Ascending, Descending)
Auto-Drawn Lines:
- Support and Resistance zones
- Trendlines
- Fibonacci retracements
- Moving Average crossovers
3. Holly AI (Inspired by Trade Ideas)
Entry Signal Detection:
- Scans all stocks every minute
- Identifies high-probability setups
- Provides entry, target, and stop-loss levels
- Confidence score (1-100)
- One-click trade execution
Holly's Daily Picks:
- Morning gap plays
- Momentum trades
- Mean reversion setups
- Breakout candidates
What ships with it
2 files 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.
- 12d ago First seen · 219 lines · 0 tokens per session scan A ff7bcd196107
ai-screener 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 1,627 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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