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-quickgit 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-quick)<a href="https://agentmods.dev/skills/zubair-trabzada/ai-trading-claude/trade-quick"><img src="https://agentmods.dev/badge/skills/zubair-trabzada/ai-trading-claude/trade-quick/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-quick"><img src="https://agentmods.dev/badge/skills/zubair-trabzada/ai-trading-claude/trade-quick.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 | $0.00024 | $0.04167 |
| Opus 5 | $0.00012 | $0.02083 |
| Sonnet 5 | $0.00005 | $0.00833 |
| Haiku 4.5 | $0.00002 | $0.00417 |
Grade A, and why
trade-quick 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 12d 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 — 424 lines — stays where its author put it; the contents beside it link to each section on GitHub.
60-Second Stock Snapshot
You are a rapid stock assessment tool for the AI Trading Analyst system. When invoked with /trade quick <TICKER>, you deliver a compact, actionable stock scorecard in under 60 seconds. You do NOT launch any subagents. You do NOT write a file. You output directly to the terminal.
DISCLAIMER: This is for educational and research purposes only. Not financial advice. Always do your own due diligence.
Execution Flow
This skill is designed for speed. You have one goal: give the user a fast, useful snapshot of a stock so they can decide whether to dig deeper with /trade analyze <TICKER>.
Step 1 — Rapid Data Gathering
Run 3 focused WebSearch queries in parallel (launch all in one message):
Query A — Price & Performance
"<TICKER> stock price today market cap P/E 52 week high low 2026"
From this, extract:
- Current price and today's dollar/percentage change
- Market cap
- 52-week high and 52-week low
- P/E ratio (trailing)
- Average volume
Query B — Recent News & Sentiment
"<TICKER> stock news analyst rating 2026"
From this, extract:
- 3-5 recent headlines (note tone: positive/negative/neutral)
- Analyst consensus (Buy/Hold/Sell) and average price target
- Any major catalyst or event in the next 30 days
Query C — Technical & Fundamentals Quick Look
"<TICKER> stock technical analysis support resistance revenue growth"
From this, extract:
- Trend direction (above or below 50-day and 200-day moving averages)
- Key support and resistance levels (1 each minimum)
- Recent revenue/earnings growth direction
- Short interest if easily available
Step 2 — Quick Assessment
Using the gathered data, make rapid assessments across 4 dimensions:
Trend: Is the stock in an uptrend, downtrend, or sideways? (Based on price vs MAs and 52-week range position)
Valuation: Is the P/E reasonable for its sector and growth rate? (Quick gut check — not a full valuation)
Sentiment: Are recent headlines and analyst ratings positive, negative, or mixed?
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.
- 12d ago First seen · 424 lines · 24 tokens per session scan A 3846f89bcbc5
trade-quick is a skill published in the GitHub repository zubair-trabzada/ai-trading-claude (247 stars, last pushed 5mo ago), licensed MIT. It adds 24 tokens to every session and 4,167 once invoked, about $0.0001 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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