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-stock-analysisgit 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-stock-analysis)<a href="https://agentmods.dev/skills/ajeeshworkspace/indian-trading-skills/india-stock-analysis"><img src="https://agentmods.dev/badge/skills/ajeeshworkspace/indian-trading-skills/india-stock-analysis/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-stock-analysis"><img src="https://agentmods.dev/badge/skills/ajeeshworkspace/indian-trading-skills/india-stock-analysis.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector warn
SkillSpector: 1 finding, up to high
These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →
- high System Prompt Leakage · line 335 Skill contains instructions that could directly expose system prompts, internal rules, or hidden instructions to users or external parties.Fix: Remove any instructions that reveal, print, or output system prompts or internal rules. System instructions should never be exposed to end users.
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 | $0.00031 | $0.03952 |
| Opus 5 | $0.00015 | $0.01976 |
| Sonnet 5 | $0.00006 | $0.00790 |
| Haiku 4.5 | $0.00003 | $0.00395 |
Grade A, and why
india-stock-analysis 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 12d 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 — 353 lines — stays where its author put it; the contents beside it link to each section on GitHub.
India Stock Analysis Skill
Analyze Indian stocks listed on NSE and BSE using broker MCP tools and web search. All analysis is denominated in INR and follows Indian fiscal year conventions (April-March). No API keys are required.
Data Sources
Use whichever broker MCP is connected. Both provide equivalent data for stock analysis.
Option A: Groww MCP (if connected)
fetch_stocks_fundamental_data-- Financials, ratios, shareholding, mutual fund holdingsfetch_historical_candle_data-- OHLCV price historyget_historical_technical_indicators-- RSI, MACD, Bollinger, SMA, EMA, SuperTrend, VWAP, ADX, and moreget_ltp-- Live/last traded price and open interestget_quotes_and_depth-- Real-time bid/ask and market depthcurate_symbols-- Resolve stock symbols and exchangefetch_market_movers_and_trending_stocks_funds-- Market movers, gainers, losersfetch_fundamentals_screener-- Screen stocks by fundamental criteriafetch_technical_screener-- Screen stocks by technical signalssearch_stock_and_others_symbol-- Search for stocks, indices, and companiesresolve_market_time_and_calendar-- Current market time, trading days, holidays
Option B: Zerodha Kite MCP (if connected)
get_ltp-- Last traded price for instrumentsget_quotes-- Real-time market quotes with depthget_ohlc-- OHLC data for instrumentsget_historical_data-- Historical OHLCV candle datasearch_instruments-- Search and resolve trading instrumentsget_holdings-- User's portfolio holdingsget_positions-- Current trading positionsget_margins-- Account margin detailsget_profile-- User profile information
Supplementary
- Web search for news, analyst reports, sector developments, and regulatory updates
- yfinance (free, no API key) as fallback for historical data
Workflow
When a user requests stock analysis, determine which analysis type is needed and follow the corresponding workflow below. If the user does not specify, default to Comprehensive Investment Report.
What ships with it
3 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.
- 12d ago First seen · 353 lines · 31 tokens per session scan A 37eee4be0e30
india-stock-analysis is a skill published in the GitHub repository ajeeshworkspace/indian-trading-skills (72 stars, last pushed 20d ago), licensed MIT. It adds 31 tokens to every session and 3,952 once invoked, about $0.0002 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.
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