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 theme-detectorgit 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/theme-detector)<a href="https://agentmods.dev/skills/tradermonty/claude-trading-skills/theme-detector"><img src="https://agentmods.dev/badge/skills/tradermonty/claude-trading-skills/theme-detector/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/theme-detector"><img src="https://agentmods.dev/badge/skills/tradermonty/claude-trading-skills/theme-detector.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- Socket pass
- Snyk warn
- 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 | $0.00051 | $0.04635 |
| Opus 5.5 | $0.00020 | $0.01854 |
| Sonnet 5.5 | $0.00010 | $0.00927 |
| Haiku 4.5 | $0.00005 | $0.00464 |
Grade A, and why
theme-detector 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.
How it starts
The opening of the file, as written. The whole thing — 490 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Theme Detector
Overview
This skill detects and ranks trending market themes by analyzing cross-sector momentum, volume, and breadth signals. It identifies both bullish (upward momentum) and bearish (downward pressure) themes, assesses lifecycle maturity (Emerging/Accelerating/Trending/Mature/Exhausting), and provides a confidence score combining quantitative data with narrative analysis.
3-Dimensional Scoring Model:
- Theme Heat (0-100): Direction-neutral strength of the theme (momentum, volume, uptrend ratio, breadth)
- Lifecycle Maturity: Stage classification (Emerging / Accelerating / Trending / Mature / Exhausting) based on duration, extremity clustering, valuation, and ETF proliferation
- Confidence (Low / Medium / High): Reliability of the detection, combining quantitative breadth with narrative confirmation. Script output is capped at Medium; Claude's WebSearch narrative confirmation step can elevate to High.
- Stock Leadership: Optional daily scan-hit evidence from 5D+20%, EP9M, range expansion, new highs, and high-RS stocks. When supplied, this is blended into Theme Heat v2; when absent, it lowers confidence coverage but does not force leadership to zero.
- Theme Match Quality: Specificity of the theme match from industry participation, explicit stock-basket hits, proxy ETF confirmation, and optional offline narrative scores. This is evidence quality, not a trade recommendation.
Key Features:
- Cross-sector theme detection using FINVIZ industry data
- Direction-aware scoring (bullish and bearish themes)
- Lifecycle maturity assessment to identify crowded vs. emerging trades
- ETF proliferation scoring (more ETFs = more mature/crowded theme)
- Integration with uptrend-dashboard for 3-point evaluation
- Stock-level leadership evidence via
--scan-hits - Theme match quality via explicit stock baskets and proxy ETF confirmation
- Leader candidate evidence ranked by abnormal move/volume/range/RS metrics, with market cap shown only as a risk bucket
- Theme history and acceleration metrics via
--history-file - Dual-mode operation: FINVIZ Elite (fast) or public scraping (slower, limited)
- WebSearch-based narrative confirmation for top themes
What ships with it
47 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.
- assets/report_template.md 4.5 KB
- references/cross_sector_themes.md 11 KB
- references/finviz_industry_codes.md 17 KB
- references/thematic_etf_catalog.md 12 KB
- references/theme_detection_methodology.md 13 KB
- requirements.txt 425 B
- scripts/_market_calendar.py 11 KB runs code
- scripts/calculators/__init__.py 37 B runs code
- scripts/calculators/heat_calculator.py 5.9 KB runs code
- scripts/calculators/industry_ranker.py 2.8 KB runs code
- scripts/calculators/lifecycle_calculator.py 6.2 KB runs code
- scripts/calculators/theme_classifier.py 12 KB runs code
- scripts/calculators/theme_discoverer.py 9.4 KB runs code
- scripts/config_loader.py 4.3 KB runs code
- scripts/default_theme_config.py 10 KB runs code
- scripts/etf_scanner.py 29 KB runs code
- scripts/finviz_performance_client.py 6.7 KB runs code
- scripts/leadership.py 17 KB runs code
- scripts/report_generator.py 31 KB runs code
- scripts/representative_stock_selector.py 23 KB runs code
- scripts/scorer.py 2.9 KB runs code
- scripts/tests/conftest.py 298 B runs code
- scripts/tests/README.md 653 B
- scripts/tests/test_config_loader.py 7.7 KB runs code
- scripts/tests/test_detect_divergence.py 3.9 KB runs code
- scripts/tests/test_etf_scanner.py 34 KB runs code
- scripts/tests/test_finviz_performance_client.py 5.2 KB runs code
- scripts/tests/test_fmp_stable_migration.py 4.0 KB runs code
- scripts/tests/test_heat_calculator.py 9.2 KB runs code
- scripts/tests/test_industry_ranker.py 11 KB runs code
- scripts/tests/test_leadership.py 8.7 KB runs code
- scripts/tests/test_lifecycle_calculator.py 12 KB runs code
- scripts/tests/test_market_calendar_contract.py 5.0 KB runs code
- scripts/tests/test_report_generator.py 26 KB runs code
- scripts/tests/test_representative_stock_selector.py 40 KB runs code
- scripts/tests/test_scorer.py 7.2 KB runs code
- scripts/tests/test_theme_classifier.py 26 KB runs code
- scripts/tests/test_theme_detector_e2e.py 25 KB runs code
- scripts/tests/test_theme_discoverer.py 19 KB runs code
- scripts/tests/test_theme_history.py 2.2 KB runs code
- scripts/tests/test_theme_matcher.py 3.3 KB runs code
- scripts/tests/test_uptrend_client.py 3.1 KB runs code
- scripts/theme_detector.py 43 KB runs code
- scripts/theme_history.py 5.1 KB runs code
- scripts/theme_matcher.py 6.9 KB runs code
- scripts/themes.yaml 5.1 KB
- scripts/uptrend_client.py 7.9 KB runs code
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 · 490 lines · 51 tokens per session scan A 4d818b6018a2
theme-detector is a skill published in the GitHub repository tradermonty/claude-trading-skills (3,373 stars, last pushed yesterday), licensed MIT. It adds 51 tokens to every session and 4,635 once invoked, about $0.0002 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 2026-09-03.
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