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.
Act as a sector strategist. Collect sector performance data across multiple timeframes, overlay market breadth and technical signals on leaders and laggards, and determine whether capital is rotating toward risk-on or risk-off sectors. Produce actionable sector allocation guidance.
Announce at start: "Running sector rotation analysis -- collecting sector performance, breadth, market indices, and technical signals."
| Tool | Parameters | Priority |
|---|---|---|
tradingview_sector_performance | (default) | REQUIRED |
tradingview_market_indices | (default) | REQUIRED |
market_breadth | universe=major_us | ENRICHMENT |
sentiment_fear_greed | (default) | ENRICHMENT |
fred_indicator | series_id=treasury_10y | ENRICHMENT |
Rank sectors by 1-week performance for rotation analysis. Identify the top 3 and bottom 3 sectors by this ranking. Call technicals for their ETFs.
| Tool | Parameters | Priority |
|---|---|---|
tradingview_technicals | tickers=[top 3 + bottom 3 sector ETFs] | REQUIRED |
Standard sector ETF mapping: XLK (Technology), XLF (Financials), XLV (Health Care), XLY (Consumer Discretionary), XLP (Consumer Staples), XLE (Energy), XLI (Industrials), XLRE (Real Estate), XLU (Utilities), XLB (Materials), XLC (Communication Services).
DO NOT proceed to analysis until ALL REQUIRED calls return. ENRICHMENT failures are acceptable.
Cross-reference the collected data across four dimensions:
Note that broad market direction context matters -- sector rotation signals are most actionable when the overall market trend is clear. In a choppy, trendless market, rotation signals may be noise.
DO NOT reproduce raw tool output. Synthesize and interpret.
| Sector | ETF | 1D | 1W | 1M | 3M | YTD |
|---|---|---|---|---|---|---|
| Technology | XLK | +x.x% | +x.x% | ... | ... | ... |
| Financials | XLF | ... | ... | ... | ... | ... |
| (all 11 GICS sectors) |
| Sector | ETF | RSI(14) | Trend | Signal |
|---|---|---|---|---|
| (top 3 and bottom 3 sectors from performance ranking) |
Classification: RISK-ON / RISK-OFF / MIXED
3-4 sentences explaining the rotation pattern. Reference specific sector pairs (cyclical vs defensive) and timeframe divergences that support the classification.
Note how rate-sensitive sectors (XLU, XLRE) are behaving relative to the current 10Y yield direction. Flag any divergence.
State whether market breadth confirms or contradicts the sector rotation signal. Reference advance/decline ratio, % above SMA50/SMA200, and new highs/lows when available.
Overweight (top 2):
Underweight (top 2):
Data from TradingView and Yahoo Finance is 15-minute delayed. CBOE and sentiment data is end-of-day. Verify critical levels with real-time data before executing trades.
~30 seconds. Free. No account. Every finding cites a rule and a line of evidence.