Claude Trading Skills is a collection of Claude Code workflows for individual investors who want structured market analysis, charting, economic-calendar review, screening, trade planning, journaling, and risk management. It is designed for people using long-term investing, ETFs, dividend stocks, and disciplined swing trading, and the catalogue entries package these workflows as skills, agents, commands, settings, and instructions.
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 tradermonty/claude-trading-skills --skill finviz-screenergit clone --depth 1 https://github.com/tradermonty/claude-trading-skillsWrote 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/tradermonty/claude-trading-skills/finviz-screener)<a href="https://agentmods.dev/skills/tradermonty/claude-trading-skills/finviz-screener"><img src="https://agentmods.dev/badge/skills/tradermonty/claude-trading-skills/finviz-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/tradermonty/claude-trading-skills/finviz-screener"><img src="https://agentmods.dev/badge/skills/tradermonty/claude-trading-skills/finviz-screener.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- Socket pass
- Snyk pass
- 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 | $0.00087 | $0.03950 |
| Opus 5.5 | $0.00035 | $0.01580 |
| Sonnet 5.5 | $0.00017 | $0.00790 |
| Haiku 4.5 | $0.00009 | $0.00395 |
Grade A, and why
finviz-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 1mo 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
2 near-identical copies found in the catalogue:
- finviz-screener — 100% identical, 0 lines differ
- finviz-screener — 100% identical, 0 lines differ
How it starts
The opening of the file, as written. The whole thing — 319 lines — stays where its author put it; the contents beside it link to each section on GitHub.
FinViz Screener
Overview
Translate natural-language stock screening requests into FinViz screener filter codes, build the URL, and open it in Chrome. No API key required for public screener; FINVIZ Elite is auto-detected from $FINVIZ_API_KEY for enhanced functionality.
Key Features:
- Natural language → filter code mapping (Japanese + English)
- URL construction with view type and sort order selection
- Elite/Public auto-detection (environment variable or explicit flag)
- Chrome-first browser opening with OS-appropriate fallbacks
- Strict filter validation to prevent URL injection
When to Use This Skill
Explicit Triggers:
- "高配当で成長している小型株を探したい"
- "Find oversold large caps near 52-week lows"
- "テクノロジーセクターの割安株をスクリーニングしたい"
- "Screen for stocks with insider buying"
- "FinVizでブレイクアウト候補を表示して"
- "Show me high-growth small caps on FinViz"
- "配当利回り5%以上でROE15%以上の銘柄を探して"
Implicit Triggers:
- User describes stock screening criteria using fundamental or technical terms
- User mentions FinViz screener or stock filtering
- User asks to find stocks matching specific financial characteristics
When NOT to Use:
- Deep fundamental analysis of a specific stock (use us-stock-analysis)
- Portfolio review with holdings (use portfolio-manager)
- Chart pattern analysis on images (use technical-analyst)
- Earnings-based screening (use earnings-trade-analyzer or pead-screener)
Workflow
Step 1: Load Filter Reference
Read the filter knowledge base:
cat references/finviz_screener_filters.md
Step 2: Interpret User Request
Map the user's natural-language request to FinViz filter codes. Use the Common Concept Mapping table below for quick translation, and reference the full filter list for precise code selection.
Note: For range criteria (e.g., "dividend 3-8%", "P/E between 10 and 20"), use the {from}to{to} range syntax as a single filter token (e.g., fa_div_3to8, fa_pe_10to20) instead of combining separate _o and _u filters.
What ships with it
5 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.
- 1mo ago First seen · 319 lines · 87 tokens per session scan A 045e5cc06997
finviz-screener is a skill published in the GitHub repository tradermonty/claude-trading-skills (3,373 stars, last pushed yesterday), licensed MIT. It adds 87 tokens to every session and 3,950 once invoked, about $0.0003 per session on Opus 5.5. 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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