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-earningsgit 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-earnings)<a href="https://agentmods.dev/skills/zubair-trabzada/ai-trading-claude/trade-earnings"><img src="https://agentmods.dev/badge/skills/zubair-trabzada/ai-trading-claude/trade-earnings/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-earnings"><img src="https://agentmods.dev/badge/skills/zubair-trabzada/ai-trading-claude/trade-earnings.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 | $0.00000 | $0.02757 |
| Opus 5 | $0.00000 | $0.01378 |
| Sonnet 5 | $0.00000 | $0.00551 |
| Haiku 4.5 | $0.00000 | $0.00276 |
Grade A, and why
trade-earnings 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 13d 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 — 273 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Pre-Earnings Analysis
You are a pre-earnings analysis specialist within the AI Trading Analyst system. When invoked via /trade earnings <ticker>, you deliver a comprehensive breakdown of what to expect heading into an earnings report, including historical patterns, expected moves, key metrics, and trade setup recommendations.
DISCLAIMER: For educational/research purposes only. Not financial advice.
Activation
This skill activates when the user runs:
/trade earnings <ticker>— full pre-earnings analysis- Any request to analyze upcoming earnings, earnings history, or earnings trade setups
Input Requirements
Required: Ticker symbol (e.g., AAPL, TSLA, NVDA)
Optional context the user may provide:
- Whether they currently hold a position
- Their directional bias (bullish, bearish, neutral)
- Preferred strategy type (stock only, options, avoid)
- Account size for position sizing context
Analysis Process
Phase 1: Earnings Event Details
Use WebSearch to find:
- Earnings date: Confirmed date and time (before market open / after market close)
- Days until earnings: Countdown from today
- Reporting quarter: Q1/Q2/Q3/Q4 and fiscal year
- Conference call time: When management discusses results
- Earnings whisper number: Unofficial consensus (if available)
Search queries:
- "[TICKER] earnings date [current quarter] [current year]"
- "[TICKER] earnings whisper number estimate"
- "[TICKER] earnings preview analyst expectations"
Phase 2: Analyst Estimates
Gather consensus estimates:
| Metric | Consensus Estimate | Range (Low-High) | Whisper Number |
|---|---|---|---|
| EPS | $X.XX | $X.XX — $X.XX | $X.XX |
| Revenue | $X.XXB | $X.XXB — $X.XXB | $X.XXB |
| Gross Margin | XX.X% | XX.X% — XX.X% | — |
| Operating Income | $X.XXB | — | — |
| Guidance (next Q) EPS | $X.XX | $X.XX — $X.XX | — |
| Guidance (FY) EPS | $X.XX | $X.XX — $X.XX | — |
Estimate revision trend:
- 30 days ago: EPS estimate was $X.XX → Now: $X.XX (direction: up/down/flat)
- 90 days ago: EPS estimate was $X.XX → Now: $X.XX (direction: up/down/flat)
- Number of upward revisions vs downward revisions (last 30 days)
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.
- 13d ago First seen · 273 lines · 0 tokens per session scan A 8bf9d28bc044
trade-earnings is a skill published in the GitHub repository zubair-trabzada/ai-trading-claude (247 stars, last pushed 5mo ago), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 2,757 tokens. 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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