What is trade-screen?

A stock screener that finds companies matching either built-in strategies or criteria written in everyday language. Stock screening means filtering a large market to find companies with selected traits.

Use it with commands such as /trade screen growth or /trade screen custom followed by your criteria. It returns matching stocks and their key measurements.

It removes the need to inspect many stocks one by one. You can start with common approaches such as growth, value, momentum, dividends, or earnings performance, or describe your own filter.

trade-screen — Skill for Claude Code and Codex by zubair-trabzada

Install

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.

Any agent

npx skills add zubair-trabzada/ai-trading-claude --skill trade-screen

Clone the repo

git clone --depth 1 https://github.com/zubair-trabzada/ai-trading-claude

Made for: Claude Code, Codex.

Wrote 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.

README.md

[![agentmods](https://agentmods.dev/badge/skills/zubair-trabzada/ai-trading-claude/trade-screen/github.svg)](https://agentmods.dev/skills/zubair-trabzada/ai-trading-claude/trade-screen)

Your own site

<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.

Your own site · 80×15

<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>

Per session 0 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.

When invoked 2,543 The whole file, excluding the scripts and references it only reads on demand.

Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.

Origin original No closer match found in the catalogue.

Token cost

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 5.5	$0.00000	$0.01017
Sonnet 5.5	$0.00000	$0.00509
Haiku 4.5	$0.00000	$0.00254

Measured 2mo ago against content hash e83bfcba2a55, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

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 2mo 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.

skills/trade-screen/SKILL.md · 277 lines

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)

Read the full file on GitHub · 277 lines

Changes

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.

2mo ago First seen · 277 lines · 0 tokens per session scan A e83bfcba2a55

Subscribe to this mod's changes

trade-screen is a skill published in the GitHub repository zubair-trabzada/ai-trading-claude (319 stars, last pushed 7mo 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.

Analytics and metrics Finance and fintech

trade-screen next to 6 skills from other repositories
Mod	Type	Stars	Last push	Licence	Scan	Tokens	Works with
trade-screenzubair-trabzada/ai-trading-claude	Skill	319	7mo ago	MIT	A	0	Claude Code, Codex
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