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 breadth-chart-analystgit 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/breadth-chart-analyst)<a href="https://agentmods.dev/skills/baggat236/ai-trading-skills/breadth-chart-analyst"><img src="https://agentmods.dev/badge/skills/baggat236/ai-trading-skills/breadth-chart-analyst/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/breadth-chart-analyst"><img src="https://agentmods.dev/badge/skills/baggat236/ai-trading-skills/breadth-chart-analyst.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 | $0.00093 | $0.06710 |
| Opus 5 | $0.00046 | $0.03355 |
| Sonnet 5 | $0.00019 | $0.01342 |
| Haiku 4.5 | $0.00009 | $0.00671 |
Grade A, and why
breadth-chart-analyst 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.
This is a copy
100% identical to breadth-chart-analyst — 0 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 — 663 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Breadth Chart Analyst
Overview
This skill enables specialized analysis of two complementary market breadth charts that provide strategic (medium to long-term) and tactical (short-term) market perspectives. Analyze breadth chart images to assess market health, identify trading signals based on backtested strategies, and develop positioning recommendations. All thinking and output are conducted exclusively in English.
Core Principles
- Dual-Timeframe Analysis: Combine strategic (Chart 1: 200MA Breadth) and tactical (Chart 2: Uptrend Ratio) perspectives
- Backtested Strategy Focus: Apply proven systematic strategies based on historical patterns
- Objective Signal Identification: Focus on clearly defined thresholds, transitions, and markers
- English Communication: Conduct all analysis and generate all reports in English
- Actionable Recommendations: Provide specific positioning guidance for different investor types
Chart Types and Purposes
Chart 1: S&P 500 Breadth Index (200-Day MA Based)
Purpose: Medium to long-term strategic market positioning
Key Elements:
- 8-Day MA (Orange Line): Short-term breadth trend, primary entry signal generator
- 200-Day MA (Green Line): Long-term breadth trend, primary exit signal generator
- Red Dashed Line (73%): Average peak level - market overheating threshold
- Blue Dashed Line (23%): Average 8MA trough level - extreme oversold, excellent buying opportunity
- Triangles:
- Purple ▼ = 8MA troughs (buy signal when reverses)
- Blue ▼ = 200MA troughs (major cycle lows)
- Red ▲ = 200MA peaks (sell signal)
- Pink Background: Downtrend periods
Backtested Strategy:
- BUY: When 8MA reverses from a trough (especially below 23%)
- SELL: When 200MA forms a peak (typically near/above 73%)
- Result: Historically high performance, avoids bear markets
Chart 2: US Stock Market - Uptrend Stock Ratio
Purpose: Short-term tactical timing and swing trading
What ships with it
4 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.
- 11d ago First seen · 663 lines · 93 tokens per session scan A 5c1f2cd0f2b0
breadth-chart-analyst is a skill published in the GitHub repository BaggaT236/AI-Trading-Skills (121 stars, last pushed 7d ago), licensed MIT. It adds 93 tokens to every session and 6,710 once invoked, about $0.0005 per session on Opus 5. A static security scan graded it A with 0 findings. It is 100% identical to breadth-chart-analyst, differing in 0 lines, and is treated as a copy.
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