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 market-breadth-analyzergit 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/market-breadth-analyzer)<a href="https://agentmods.dev/skills/baggat236/ai-trading-skills/market-breadth-analyzer"><img src="https://agentmods.dev/badge/skills/baggat236/ai-trading-skills/market-breadth-analyzer/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/market-breadth-analyzer"><img src="https://agentmods.dev/badge/skills/baggat236/ai-trading-skills/market-breadth-analyzer.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 | $0.00071 | $0.01517 |
| Opus 5.5 | $0.00028 | $0.00607 |
| Sonnet 5.5 | $0.00014 | $0.00303 |
| Haiku 4.5 | $0.00007 | $0.00152 |
Grade A, and why
market-breadth-analyzer 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.
This is a copy
100% identical to market-breadth-analyzer — 14 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.
How it starts
The opening of the file, as written. The whole thing — 138 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Market Breadth Analyzer Skill
Purpose
Quantify market breadth health using a data-driven 6-component scoring system (0-100). Uses TraderMonty's publicly available CSV data to measure how broadly the market is participating in a rally or decline.
Score direction: 100 = Maximum health (broad participation), 0 = Critical weakness.
No API key required - uses freely available CSV data from GitHub Pages.
When to Use This Skill
English:
- User asks "Is the market rally broad-based?" or "How healthy is market breadth?"
- User wants to assess market participation rate
- User asks about advance-decline indicators or breadth thrust
- User wants to know if the market is narrowing (fewer stocks participating)
- User asks about equity exposure levels based on breadth conditions
Japanese:
- 「マーケットブレッドスはどうですか？」「市場の参加率は？」
- 「上昇は広がっている？」「一部の銘柄だけの上昇？」
- ブレッドス指標に基づくエクスポージャー判断
- 市場の健康度をデータで確認したい
Prerequisites
- Python 3.9+ with
requestslibrary (for fetching CSV data) - Internet access to reach GitHub Pages URLs
- No API keys required - uses freely available public CSV data
Difference from Breadth Chart Analyst
| Aspect | Market Breadth Analyzer | Breadth Chart Analyst |
|---|---|---|
| Data Source | CSV (automated) | Chart images (manual) |
| API Required | None | None |
| Output | Quantitative 0-100 score | Qualitative chart analysis |
| Components | 6 scored dimensions | Visual pattern recognition |
| Repeatability | Fully reproducible | Analyst-dependent |
Execution Workflow
Phase 1: Execute Python Script
Run the analysis script. If using a nested or date-stamped --output-dir in cron runs, create it first; the history writer expects the directory to already exist.
mkdir -p reports/<routine-or-date>
python3 skills/market-breadth-analyzer/scripts/market_breadth_analyzer.py \
--detail-url "https://tradermonty.github.io/market-breadth-analysis/market_breadth_data.csv" \
--summary-url "https://tradermonty.github.io/market-breadth-analysis/market_breadth_summary.csv" \
--output-dir reports/<routine-or-date>
What ships with it
23 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.
- references/breadth_analysis_methodology.md 14 KB
- scripts/calculators/__init__.py 47 B runs code
- scripts/calculators/bearish_signal_calculator.py 4.6 KB runs code
- scripts/calculators/cycle_calculator.py 5.3 KB runs code
- scripts/calculators/divergence_calculator.py 5.4 KB runs code
- scripts/calculators/historical_context_calculator.py 3.4 KB runs code
- scripts/calculators/ma_crossover_calculator.py 3.2 KB runs code
- scripts/calculators/trend_level_calculator.py 3.9 KB runs code
- scripts/csv_client.py 6.7 KB runs code
- scripts/history_tracker.py 2.9 KB runs code
- scripts/market_breadth_analyzer.py 11 KB runs code
- scripts/report_generator.py 15 KB runs code
- scripts/scorer.py 8.9 KB runs code
- scripts/tests/conftest.py 1.5 KB runs code
- scripts/tests/test_bearish_signal_calculator.py 5.5 KB runs code
- scripts/tests/test_cycle_calculator.py 1.6 KB runs code
- scripts/tests/test_divergence_calculator.py 5.4 KB runs code
- scripts/tests/test_historical_context_calculator.py 3.6 KB runs code
- scripts/tests/test_history_tracker.py 4.1 KB runs code
- scripts/tests/test_ma_crossover_calculator.py 4.4 KB runs code
- scripts/tests/test_report_generator.py 15 KB runs code
- scripts/tests/test_scorer.py 4.3 KB runs code
- scripts/tests/test_trend_level_calculator.py 4.6 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 · 138 lines · 71 tokens per session scan A c6186b6d8f4b
market-breadth-analyzer is a skill published in the GitHub repository BaggaT236/AI-Trading-Skills (138 stars, last pushed 1mo ago), licensed MIT. It adds 71 tokens to every session and 1,517 once invoked, about $0.0003 per session on Opus 5.5. A static security scan graded it A with 0 findings. It is 100% identical to market-breadth-analyzer, differing in 14 lines, and is treated as a copy.
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