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 agentmods add skills/mphinance/alpha-skills/breadth-chart-analystnpx skills add mphinance/alpha-skills --skill breadth-chart-analystgit clone --depth 1 https://github.com/mphinance/alpha-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/mphinance/alpha-skills/breadth-chart-analyst)<a href="https://agentmods.dev/skills/mphinance/alpha-skills/breadth-chart-analyst"><img src="https://agentmods.dev/badge/skills/mphinance/alpha-skills/breadth-chart-analyst.svg" alt="Measured on agentmods" 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 | $0.00107 | $0.07758 |
| Opus 5 | $0.00053 | $0.03879 |
| Sonnet 5 | $0.00021 | $0.01552 |
| Haiku 4.5 | $0.00011 | $0.00776 |
Grade A, and why
breadth-chart-analyst scanned grade A with 1 finding 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 6d 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.
Makes network callslowCapability
Not a fault in itself. Listed so you know the mod talks to something, and to what.
**PRIMARY data source**. Fetches market breadth, uptrend ratio, and sector summary data from public CSV sources. Uses only stdlib (urllib + csv) -- no external dependencies. Copies of this mod
1 near-identical copy found in the catalogue:
- breadth-chart-analyst — 100% identical, 6 lines differ
How it starts
The opening of the file, as written. The whole thing — 768 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.
When to Use
Use this skill when:
- User provides S&P 500 Breadth Index (200-Day MA based) chart images for analysis
- User provides US Stock Market Uptrend Stock Ratio chart images for analysis
- User requests market breadth assessment or market health evaluation
- User asks about medium-term strategic positioning based on breadth indicators
- User needs short-term tactical timing signals for swing trading
- User wants combined strategic and tactical market outlook
- User requests breadth analysis WITHOUT providing chart images (CSV data mode)
Do NOT use this skill when:
- User asks about individual stock analysis (use
us-stock-analysisskill instead) - User needs sector rotation analysis without breadth charts (use
sector-analystskill instead) - User wants news-based market analysis (use
market-news-analystskill instead)
Prerequisites
- Chart Images Optional: CSV data from public sources is the PRIMARY data source; chart images provide supplementary visual context
- No API Keys Required: CSV data is fetched from public GitHub Pages; no external API subscriptions needed
- Language: All analysis and output conducted in English
Output
This skill generates markdown analysis reports saved to the reports/ directory:
- Chart 1 only:
breadth_200ma_analysis_[YYYY-MM-DD].md - Chart 2 only:
uptrend_ratio_analysis_[YYYY-MM-DD].md - Both charts:
breadth_combined_analysis_[YYYY-MM-DD].md
Reports include executive summaries, current readings, signal identification, scenario analysis with probabilities, and actionable positioning recommendations for different trader types.
What ships with it
13 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/breadth_analysis_template.md 17 KB
- assets/SP500_Breadth_Index_200MA_8MA.jpeg 1113 KB
- assets/US_Stock_Market_Uptrend_Ratio.jpeg 532 KB
- README.md 32 KB
- references/breadth_chart_methodology.md 23 KB
- scripts/detect_breadth_values.py 22 KB runs code
- scripts/detect_uptrend_ratio.py 29 KB runs code
- scripts/extract_chart_right_edge.py 7.9 KB runs code
- scripts/fetch_breadth_csv.py 14 KB runs code
- scripts/tests/__init__.py 40 B runs code
- scripts/tests/conftest.py 1.3 KB runs code
- scripts/tests/test_detect_uptrend_ratio.py 19 KB runs code
- scripts/tests/test_fetch_breadth_csv.py 14 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.
- 6d ago First seen · 768 lines · 107 tokens per session scan A 61c09ae6e4cc
breadth-chart-analyst is a skill published in the GitHub repository mphinance/alpha-skills (19 stars, last pushed 8d ago), licensed MIT. It adds 107 tokens to every session and 7,758 once invoked, about $0.0005 per session on Opus 5. A static security scan graded it A with 1 finding (makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
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