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 BaggaT236/AI-Trading-Skills --skill theme-detectorgit clone --depth 1 https://github.com/BaggaT236/AI-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/baggat236/ai-trading-skills/theme-detector)<a href="https://agentmods.dev/skills/baggat236/ai-trading-skills/theme-detector"><img src="https://agentmods.dev/badge/skills/baggat236/ai-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/baggat236/ai-trading-skills/theme-detector"><img src="https://agentmods.dev/badge/skills/baggat236/ai-trading-skills/theme-detector.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 | $0.00051 | $0.03663 |
| Opus 5 | $0.00026 | $0.01832 |
| Sonnet 5 | $0.00010 | $0.00733 |
| Haiku 4.5 | $0.00005 | $0.00366 |
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 11d 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 — 429 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.
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
- Dual-mode operation: FINVIZ Elite (fast) or public scraping (slower, limited)
- WebSearch-based narrative confirmation for top themes
When to Use This Skill
Explicit Triggers:
- "What market themes are trending right now?"
- "Which sectors are hot/cold?"
- "Detect current market themes"
- "What are the strongest bullish/bearish narratives?"
- "Is AI/clean energy/defense still a strong theme?"
- "Where is sector rotation heading?"
- "Show me thematic investing opportunities"
Implicit Triggers:
- User wants to understand broad market narrative shifts
- User is looking for thematic ETF or sector allocation ideas
- User asks about crowded trades or late-cycle themes
- User wants to know which themes are emerging vs. exhausted
What ships with it
38 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
- scripts/calculators/__init__.py 37 B runs code
- scripts/calculators/heat_calculator.py 4.4 KB runs code
- scripts/calculators/industry_ranker.py 2.5 KB runs code
- scripts/calculators/lifecycle_calculator.py 5.1 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 26 KB runs code
- scripts/finviz_performance_client.py 6.7 KB runs code
- scripts/report_generator.py 22 KB runs code
- scripts/representative_stock_selector.py 23 KB runs code
- scripts/scorer.py 2.6 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 3.6 KB runs code
- scripts/tests/test_etf_scanner.py 32 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 9.8 KB runs code
- scripts/tests/test_lifecycle_calculator.py 12 KB runs code
- scripts/tests/test_report_generator.py 24 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 25 KB runs code
- scripts/tests/test_theme_detector_e2e.py 19 KB runs code
- scripts/tests/test_theme_discoverer.py 19 KB runs code
- scripts/tests/test_uptrend_client.py 3.5 KB runs code
- scripts/theme_detector.py 34 KB runs code
- scripts/themes.yaml 5.1 KB
- scripts/uptrend_client.py 7.5 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.
- 11d ago First seen · 429 lines · 51 tokens per session scan A 7f6b2b316702
theme-detector is a skill published in the GitHub repository BaggaT236/AI-Trading-Skills (121 stars, last pushed 7d ago), licensed MIT. It adds 51 tokens to every session and 3,663 once invoked, about $0.0003 per session on Opus 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.
Other skills, from other repositories
ib-pmcc-advisor
Analyze PMCC (Poor Man's Covered Call / diagonal spread) positions from IB portfolio. For each diagonal spread, reports short leg risk (delta, IV, assignment probability), daily P&L projections, top-3 roll candidates, and a side-by-side comparison table. Requires TWS or IB Gateway running locally.
ib-stop-loss
Downside stop-loss management for PMCC, naked LEAPS, and stock positions in IB. Computes stop prices, detects alerts, and places conditional combo orders. Dry-run by default. Requires TWS or IB Gateway running locally.
ib-trailing-stop
Server-side trailing stop management for stocks and naked LEAPS in IB. Places native TRAIL orders that auto-ratchet the stop as price climbs. Dry-run by default. Requires TWS or IB Gateway running locally.
scanner-pmcc
Scan stocks for Poor Man's Covered Call (PMCC) suitability. Analyzes LEAPS and short call options for delta, liquidity, spread, IV, yield, trend direction, and earnings proximity. Use when user asks about PMCC candidates, diagonal spreads, or LEAPS strategies.
stock_analyzer
A stock and market analysis skill that returns structured information about trends, prices, news, risks, catalysts, and possible trading plans.
ib-find-short-roll
Find roll options for existing short positions OR find best covered call/put to open against long stock. Use when user asks about rolling shorts, finding roll candidates, writing covered calls, or managing option positions. Requires TWS or IB Gateway running locally.