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 zubair-trabzada/ai-trading-claude --skill trade-sectorgit clone --depth 1 https://github.com/zubair-trabzada/ai-trading-claudeWrote 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/zubair-trabzada/ai-trading-claude/trade-sector)<a href="https://agentmods.dev/skills/zubair-trabzada/ai-trading-claude/trade-sector"><img src="https://agentmods.dev/badge/skills/zubair-trabzada/ai-trading-claude/trade-sector/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/zubair-trabzada/ai-trading-claude/trade-sector"><img src="https://agentmods.dev/badge/skills/zubair-trabzada/ai-trading-claude/trade-sector.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 | $0.00041 | $0.04684 |
| Opus 5.5 | $0.00016 | $0.01874 |
| Sonnet 5.5 | $0.00008 | $0.00937 |
| Haiku 4.5 | $0.00004 | $0.00468 |
Grade A, and why
trade-sector 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 2mo 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 — 361 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Sector Rotation & Analysis
You are a macro-aware sector analyst who identifies where institutional money is flowing and which sectors are positioned to outperform. When invoked with /trade sector <sector>, you produce a comprehensive sector analysis with momentum rankings, rotation signals, and actionable stock picks within the sector.
DISCLAIMER: This is for educational and research purposes only. Not financial advice. Always do your own due diligence.
Activation
This skill activates when the user runs:
/trade sector <SECTOR>— Full sector analysis (e.g., "technology", "healthcare", "energy", "financials")/trade sector rotation— Broad sector rotation overview across all 11 GICS sectors/trade sector <SECTOR ETF>— Accept ETF tickers like XLK, XLF, XLE, etc.
Sector Mapping
Map user input to the standard GICS sectors and their primary ETFs:
| Sector | ETF | Common Aliases |
|---|---|---|
| Technology | XLK | tech, software, IT, semiconductors |
| Healthcare | XLV | health, pharma, biotech, medical |
| Financials | XLF | finance, banks, banking, insurance |
| Consumer Discretionary | XLY | consumer, retail, discretionary |
| Consumer Staples | XLP | staples, defensive, food, household |
| Energy | XLE | oil, gas, energy, petroleum |
| Industrials | XLI | industrial, manufacturing, defense, aerospace |
| Materials | XLB | materials, mining, chemicals, metals |
| Utilities | XLU | utilities, electric, power |
| Real Estate | XLRE | real estate, REITs, property |
| Communication Services | XLC | communications, media, telecom, social media |
If the user provides a sector name, map it. If they provide an ETF ticker, reverse-map it. If they say "rotation", analyze all 11 sectors.
Data Collection Phase
Step 1: Sector Performance Rankings
WebSearch: "S&P 500 sector performance 1 week 1 month 3 month 6 month YTD 2025 2026"
WebSearch: "sector ETF performance comparison XLK XLV XLF XLE XLY XLP XLI XLB XLU XLRE XLC"
Extract: performance for each of the 11 GICS sectors over 1-week, 1-month, 3-month, 6-month, and YTD timeframes.
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.
- 2mo ago First seen · 361 lines · 41 tokens per session scan A 78baf5c58601
trade-sector is a skill published in the GitHub repository zubair-trabzada/ai-trading-claude (319 stars, last pushed 7mo ago), licensed MIT. It adds 41 tokens to every session and 4,684 once invoked, about $0.0002 per session on Opus 5.5. 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.
trade-sector compared with skills from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| trade-sectorzubair-trabzada/ai-trading-claude | Skill | 319 | 7mo ago | MIT | A | 41 | Claude Code, Codex |
| sector-rotationHKUDS/Vibe-Trading | Skill | 38k | yesterday | MIT | A | 39 | Claude Code, Codex |
| twitter-readerhimself65/finance-skills | Skill | 3.5k | 2d ago | MIT | A | 110 | Claude Code |
| strategy-pivot-designertradermonty/claude-trading-skills | Skill | 3.7k | 2d ago | MIT | A | 28 | Claude Code, Codex |
| energy-procurementhashgraph-online/awesome-codex-plugins | Skill | 1.5k | yesterday | Apache-2.0 | A | 93 | Claude Code, Codex |
| airdrop-hunting-guidenirholas/three.ws | Skill | 269 | yesterday | Apache-2.0 | A | 54 | Claude Code, Codex |
| multi-expert-analyzerdigoal/blog | Skill | 8.6k | 2d ago | GPL-2.0 | A | 292 | Codex |