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 ajeeshworkspace/indian-trading-skills --skill india-market-breadthgit clone --depth 1 https://github.com/ajeeshworkspace/indian-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/ajeeshworkspace/indian-trading-skills/india-market-breadth)<a href="https://agentmods.dev/skills/ajeeshworkspace/indian-trading-skills/india-market-breadth"><img src="https://agentmods.dev/badge/skills/ajeeshworkspace/indian-trading-skills/india-market-breadth/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/ajeeshworkspace/indian-trading-skills/india-market-breadth"><img src="https://agentmods.dev/badge/skills/ajeeshworkspace/indian-trading-skills/india-market-breadth.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 | $0.03920 |
| Opus 5.5 | $0.00020 | $0.01568 |
| Sonnet 5.5 | $0.00010 | $0.00784 |
| Haiku 4.5 | $0.00005 | $0.00392 |
Grade A, and why
india-market-breadth 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 — 378 lines — stays where its author put it; the contents beside it link to each section on GitHub.
India Market Breadth Analyzer
Purpose
Market breadth measures how broadly a rally or decline is distributed across the market. A healthy market has broad participation — many stocks and sectors moving in the same direction. A narrow market, where only a few large-cap stocks are driving the index, is fragile and prone to reversal.
This skill provides a systematic framework to assess NSE/BSE breadth health, score it on a 0-100 composite scale, and translate it into actionable equity exposure recommendations.
Data Sources
Primary Sources
| Data Point | Source | Method |
|---|---|---|
| Advance/Decline counts | NSE website / Web search | WebSearch for "NSE advance decline data today" |
| Stocks above 200 DMA | Market screeners / Web search | WebSearch for "stocks above 200 DMA NSE" |
| Stocks above 50 DMA | Market screeners / Web search | WebSearch for "stocks above 50 DMA NSE" |
| New 52-week highs | Groww MCP | fetch_market_movers_and_trending_stocks_funds with YEARLY_HIGH filter |
| New 52-week lows | Groww MCP | fetch_market_movers_and_trending_stocks_funds with YEARLY_LOW filter |
| Sector performance | Groww MCP | get_ltp for sector indices (Nifty IT, Bank Nifty, Nifty Pharma, etc.) |
| Nifty 50 level | Groww MCP | get_ltp for NIFTY |
| Top gainers/losers | Groww MCP | fetch_market_movers_and_trending_stocks_funds with TOP_GAINERS / TOP_LOSERS |
Broker MCP Tools Used
Use whichever broker MCP is connected (Groww or Zerodha Kite):
Groww MCP (if connected):
fetch_market_movers_and_trending_stocks_funds— Core tool for yearly highs/lows counts, top gainers/losers, volume dataget_ltp— Get live prices for Nifty, Bank Nifty, sector indicesfetch_historical_candle_data— Historical data for trend analysisget_historical_technical_indicators— Calculate moving averages for breadth assessmentfetch_technical_screener— Screen for stocks by technical criteria (RSI, MACD, etc.)fetch_fundamentals_screener— Natural language screening for market-cap based analysis
What ships with it
2 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.
- 1mo ago First seen · 378 lines · 51 tokens per session scan A 5474ace69243
india-market-breadth is a skill published in the GitHub repository ajeeshworkspace/indian-trading-skills (75 stars, last pushed 2mo ago), licensed MIT. It adds 51 tokens to every session and 3,920 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 2026-08-30.
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