sector-rotation — independently scanned and version-tracked by SaferSkills.
SaferSkills independently audited sector-rotation (Agent Skill) and scored it 100/100 (green). The audit ran 55 deterministic rules across Security, Supply Chain, Maintenance, Transparency, and Community; it found 0 high-severity and 0 lower-severity findings. The full rule-by-rule trace and per-finding evidence are below. Free, methodology-open.
Findings & checks · 0 flagged
Every scanned point with the score it earned and what moved between them.
First recorded scan — no prior version to compare against.
The primary manifest — the file an agent reads to learn what this artifact does.
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.
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.
portfolio_summary — total invested, current value, day P&L per sector.portfolio_concentration — HHI, top-5 weights, single-stock max.get_fii_dii_flow — yesterday's net institutional buying/selling (often sector-taggedin the response).
get_ltp on sector indices (NSE:NIFTY IT, NSE:NIFTY BANK, `NSE:NIFTYAUTO, NSE:NIFTY PHARMA, NSE:NIFTY FMCG, NSE:NIFTY ENERGY, NSE:NIFTY METAL, NSE:NIFTY REALTY`) for today's sector-level direction.
## 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.overweight IT or Pharma; don't assume deviation is wrong.
Do NOT answer directly with a trade recommendation. Instead:
tax-harvest skill) andtransaction charges (get_order_charges)?
fix is different.
trade-check if the user decides to actually place orders.sector_exposureThe server uses NSE's sectoral classification as the source of truth. Common buckets:
but these are heuristics, not policy.
rotation need.
~30 seconds. Free. No account. Every finding cites a rule and a line of evidence.