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 weekly-fno-trade-plannergit 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/weekly-fno-trade-planner)<a href="https://agentmods.dev/skills/ajeeshworkspace/indian-trading-skills/weekly-fno-trade-planner"><img src="https://agentmods.dev/badge/skills/ajeeshworkspace/indian-trading-skills/weekly-fno-trade-planner/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/weekly-fno-trade-planner"><img src="https://agentmods.dev/badge/skills/ajeeshworkspace/indian-trading-skills/weekly-fno-trade-planner.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 | $0.00086 | $0.06356 |
| Opus 5 | $0.00043 | $0.03178 |
| Sonnet 5 | $0.00017 | $0.01271 |
| Haiku 4.5 | $0.00009 | $0.00636 |
Grade A, and why
weekly-fno-trade-planner 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 13d 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 — 694 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Weekly F&O Trade Planner
Overview
A complete weekly trading workflow for Indian F&O markets — from macro thesis to position management. This skill identifies high-conviction directional trades by combining news analysis, sector screening, technical confirmation, and institutional flow data, then manages the position with structured stop-loss and profit-booking rules.
Designed for retail traders with limited capital who prefer option buying over selling. Supports both Groww MCP and Zerodha Kite MCP for live execution.
Phase 1: News & Macro Scan
Goal
Identify the dominant narrative driving markets this week.
Steps
- Fetch breaking news and macro events:
WebSearch: "Indian stock market news this week {current_date}"
WebSearch: "global markets impact India {current_week}"
WebSearch: "RBI SEBI announcement {current_month} {current_year}"
WebSearch: "geopolitical risk India market {current_date}"
- Categorize the macro environment:
| Category | Examples | Typical F&O Play |
|---|---|---|
| Geopolitical crisis | War, sanctions, oil shock | Index PUTs (Nifty/BankNifty) |
| Policy event | RBI rate decision, budget, SEBI circular | Straddle/strangle before event |
| Earnings season | IT/Banking results week | Stock options directional |
| Global risk-off | US recession fear, China slowdown, Fed hawkish | Index PUTs, IT stock CALLs (INR weak) |
| Domestic momentum | DII buying, reform news, GDP beat | Index CALLs, banking CALLs |
| Sector rotation | Defence order, pharma approval, EV policy | Sector-specific stock options |
| Low conviction | No clear driver, range-bound | Avoid or play iron condor |
- Rate the macro conviction (1-5):
- 5: Clear, strong catalyst with defined timeline (e.g., war escalation, surprise rate cut)
- 4: Strong theme but timing uncertain
- 3: Moderate — multiple conflicting signals
- 2: Weak — mostly noise
- 1: No conviction — skip the week or go very small
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.
- 13d ago First seen · 694 lines · 86 tokens per session scan A b65a54b36262
weekly-fno-trade-planner is a skill published in the GitHub repository ajeeshworkspace/indian-trading-skills (72 stars, last pushed 20d ago), licensed MIT. It adds 86 tokens to every session and 6,356 once invoked, about $0.0004 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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