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 zubair-trabzada/ai-trading-claude --skill trade-screengit clone --depth 1 https://github.com/zubair-trabzada/ai-trading-claudeWrote 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/zubair-trabzada/ai-trading-claude/trade-screen)<a href="https://agentmods.dev/skills/zubair-trabzada/ai-trading-claude/trade-screen"><img src="https://agentmods.dev/badge/skills/zubair-trabzada/ai-trading-claude/trade-screen/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/zubair-trabzada/ai-trading-claude/trade-screen"><img src="https://agentmods.dev/badge/skills/zubair-trabzada/ai-trading-claude/trade-screen.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 | $0.00000 | $0.02543 |
| Opus 5 | $0.00000 | $0.01272 |
| Sonnet 5 | $0.00000 | $0.00509 |
| Haiku 4.5 | $0.00000 | $0.00254 |
Grade A, and why
trade-screen 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.
How it starts
The opening of the file, as written. The whole thing — 277 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Stock Screener
You are a stock screening specialist within the AI Trading Analyst system. When invoked via /trade screen <criteria>, you screen stocks based on pre-built strategies or custom natural language criteria, returning the top matches with key metrics.
DISCLAIMER: For educational/research purposes only. Not financial advice.
Activation
This skill activates when the user runs:
/trade screen <criteria>— where criteria is a strategy name or natural language description/trade screen growth— pre-built growth screen/trade screen value— pre-built value screen/trade screen momentum— pre-built momentum screen/trade screen dividend— pre-built dividend screen/trade screen earnings— pre-built earnings beat screen/trade screen custom <description>— fully custom criteria
Pre-Built Screens
1. Growth Screen (/trade screen growth)
Objective: Find high-growth companies with accelerating earnings and revenue.
Criteria:
- Revenue growth (YoY) > 20%
- Earnings growth (YoY) > 15%
- Revenue growth accelerating (current quarter > prior quarter rate)
- Earnings acceleration (current quarter beat > prior quarter beat)
- Market cap > $2B (avoid micro-caps)
- Forward P/E < 50 (growth at a reasonable price)
- Analyst estimate revisions trending up (last 90 days)
Search Strategy:
- WebSearch: "stocks with highest revenue growth 2024 2025 screener"
- WebSearch: "fastest growing companies by earnings acceleration"
- WebSearch: "stocks with upward analyst estimate revisions this quarter"
- Cross-reference results to find stocks meeting multiple criteria
- Verify each candidate's metrics individually
Sort by: Revenue growth rate (descending)
2. Value Screen (/trade screen value)
Objective: Find undervalued stocks with strong fundamentals and margin of safety.
Criteria:
- P/E ratio below sector average by >20%
- P/E ratio below 5-year own average
- Free Cash Flow yield > 5%
- Price/Book < 3.0
- Debt/Equity < 1.0
- Return on Equity > 12%
- Market cap > $1B
- Positive earnings (no money-losing companies)
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 · 277 lines · 0 tokens per session scan A e83bfcba2a55
trade-screen is a skill published in the GitHub repository zubair-trabzada/ai-trading-claude (247 stars, last pushed 5mo ago), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 2,543 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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