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 Sundeepg98/kite-mcp-server --skill sector-rotationgit clone --depth 1 https://github.com/Sundeepg98/kite-mcp-serverWrote 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/sundeepg98/kite-mcp-server/sector-rotation)<a href="https://agentmods.dev/skills/sundeepg98/kite-mcp-server/sector-rotation"><img src="https://agentmods.dev/badge/skills/sundeepg98/kite-mcp-server/sector-rotation/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/sundeepg98/kite-mcp-server/sector-rotation"><img src="https://agentmods.dev/badge/skills/sundeepg98/kite-mcp-server/sector-rotation.svg" alt="Reviewed on agentmods" width="80" 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 | $0.00100 | $0.01362 |
| Opus 5 | $0.00050 | $0.00681 |
| Sonnet 5 | $0.00020 | $0.00272 |
| Haiku 4.5 | $0.00010 | $0.00136 |
Grade A, and why
sector-rotation 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 10d 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 — 103 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Sector Rotation & Exposure Review
Indian markets have strong sector-level correlation (IT moves together on USD-INR, banks move together on RBI policy, etc.). This skill surfaces the user's sector-level picture so they decide rotation moves with facts instead of vibes.
1. Pull the data
- Call
sector_exposure— server maps the user's holdings across 150+ NSE stocks into 20+ sectors (IT, Banking, Auto, Pharma, FMCG, Energy, Metals, Realty, Capital Goods, etc.) and returns weight per sector + HHI. - Call
portfolio_summary— total invested, current value, day P&L per sector. - Call
portfolio_concentration— HHI, top-5 weights, single-stock max. - Call
get_fii_dii_flow— yesterday's net institutional buying/selling (often sector-tagged in the response). - Optionally call
get_ltpon sector indices (NSE:NIFTY IT,NSE:NIFTY BANK,NSE:NIFTY AUTO,NSE:NIFTY PHARMA,NSE:NIFTY FMCG,NSE:NIFTY ENERGY,NSE:NIFTY METAL,NSE:NIFTY REALTY) for today's sector-level direction.
2. Format the exposure report
## Sector Exposure — <Date>
### Your Sector Mix (by value)
| Sector | Weight | Value | Day % | Top Holding |
|---|---|---|---|---|
| IT | <pct>% | <amt> | <pct>% | <symbol> |
| Banking | ... | ... | ... | ... |
### Concentration Signals
- HHI: <value> (0=fully diversified, 10000=single stock)
- Top-5 stocks: <pct>% of portfolio
- Single-stock max: <symbol> at <pct>%
### Benchmark Context
- Your IT weight vs NIFTY 50 IT weight: <user pct> vs <~13% benchmark> → overweight | underweight
- Your Banking weight vs NIFTY 50 Banking weight: <user pct> vs <~34% benchmark> → ...
(Note: benchmark weights rebalance quarterly — use them as orientation, not a target.)
### FII/DII Flow (yesterday)
- FII net: <buy | sell> <amt>, heaviest in <sector>
- DII net: <buy | sell> <amt>, heaviest in <sector>
### Today's Sector Indices
- NIFTY IT: <price> (<change>%)
- NIFTY BANK: ...
- NIFTY AUTO: ...
### Observations (factual only)
- You're <overweight|underweight> <sector> by <pct>% vs benchmark.
- Your heaviest single exposure is <symbol> at <pct>% — single-stock risk.
- FII net <direction> in <sector> does not automatically imply a move; note and move on.
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.
- 10d ago First seen · 103 lines · 100 tokens per session scan A 73d2289099e6
sector-rotation is a skill published in the GitHub repository Sundeepg98/kite-mcp-server (0 stars, last pushed 2mo ago), licensed MIT. It adds 100 tokens to every session and 1,362 once invoked, about $0.0005 per session on Opus 5. A static security scan graded it A with 0 findings. It comes from a forked repository.
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