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 options-strategy-advisorgit 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/options-strategy-advisor)<a href="https://agentmods.dev/skills/ajeeshworkspace/indian-trading-skills/options-strategy-advisor"><img src="https://agentmods.dev/badge/skills/ajeeshworkspace/indian-trading-skills/options-strategy-advisor/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/options-strategy-advisor"><img src="https://agentmods.dev/badge/skills/ajeeshworkspace/indian-trading-skills/options-strategy-advisor.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector warn
SkillSpector: 1 finding, up to medium
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 →
- medium Prompt Injection · line 78 Subtle instructions detected that may alter agent decision-making or introduce hidden biases.Fix: Review content for implicit steering or bias. Ensure instructions are explicit and align with the skill's stated purpose.
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 | $0.00053 | $0.04252 |
| Opus 5 | $0.00026 | $0.02126 |
| Sonnet 5 | $0.00011 | $0.00850 |
| Haiku 4.5 | $0.00005 | $0.00425 |
Grade A, and why
options-strategy-advisor 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 — 434 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Options Strategy Advisor — Indian F&O Markets (NSE)
Overview
This skill provides comprehensive options strategy analysis tailored to the Indian Futures & Options market on the National Stock Exchange (NSE). It covers strategy selection, live data retrieval, margin estimation, profit/loss simulation, Greeks analysis, and risk management — all adapted for the specific characteristics of Indian F&O trading.
Indian F&O Market Characteristics
Exercise Style
- European-style exercise only. Options on NSE can only be exercised at expiry, not before. This simplifies pricing (Black-Scholes applies directly without early-exercise adjustments) and means time value is always fully captured by the seller until expiry.
Expiry Schedule
| Underlying | Expiry Day | Expiry Type |
|---|---|---|
| NIFTY | Thursday | Weekly + Monthly |
| BANK NIFTY | Wednesday | Weekly + Monthly |
| FINNIFTY | Tuesday | Weekly + Monthly |
| SENSEX (BSE) | Friday | Weekly + Monthly |
| Stock Options | Last Thursday | Monthly only |
- Monthly expiry is the last Thursday of the month (or preceding trading day if Thursday is a holiday).
- Weekly expiries are available only for index options, not individual stocks.
Lot Sizes
Lot sizes are periodically revised by the exchanges. Always verify current lot
sizes using the Groww MCP tool fno_mcx_contracts_search_tool before calculating
margin or position size. Recent reference values:
- NIFTY: 75 (recently changed — confirm via MCP)
- BANK NIFTY: 15 (recently changed — confirm via MCP)
- FINNIFTY: 25
- Stock options: Varies by stock (check contract specifications)
Margin Requirements
SEBI mandates the following margin components for F&O:
- SPAN Margin — Risk-based margin calculated by the exchange clearing corporation.
- Exposure Margin — Additional margin over SPAN for market-wide risk.
- Peak Margin — Intraday margin snapshots; brokers must collect at least the peak margin observed during the day.
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.
- 12d ago First seen · 434 lines · 53 tokens per session scan A efa071205055
options-strategy-advisor is a skill published in the GitHub repository ajeeshworkspace/indian-trading-skills (72 stars, last pushed 20d ago), licensed MIT. It adds 53 tokens to every session and 4,252 once invoked, about $0.0003 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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