What is trade-earnings?

A pre-earnings stock-analysis skill for examining what may happen around a company’s earnings report, the scheduled release of its financial results. It is activated with `/trade earnings `.

Use it to analyse upcoming or past earnings and discuss trade setups, optionally considering an existing position, market bias, strategy type, or account size. It is for research and education, not financial advice.

It organises earnings preparation around dates, historical patterns, expected price moves, important metrics, and possible trade setups.

trade-earnings — Skill for Claude Code and Codex by zubair-trabzada

Install

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.

Any agent

npx skills add zubair-trabzada/ai-trading-claude --skill trade-earnings

Clone the repo

git clone --depth 1 https://github.com/zubair-trabzada/ai-trading-claude

Made for: Claude Code, Codex.

Wrote 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.

README.md

[![agentmods](https://agentmods.dev/badge/skills/zubair-trabzada/ai-trading-claude/trade-earnings/github.svg)](https://agentmods.dev/skills/zubair-trabzada/ai-trading-claude/trade-earnings)

Your own site

<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.

Your own site · 80×15

<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>

Per session 0 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.

When invoked 2,757 The whole file, excluding the scripts and references it only reads on demand.

Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.

Origin original No closer match found in the catalogue.

Token cost

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 5.5	$0.00000	$0.01103
Sonnet 5.5	$0.00000	$0.00551
Haiku 4.5	$0.00000	$0.00276

Measured 2mo ago against content hash 8bf9d28bc044, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

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 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.

skills/trade-earnings/SKILL.md · 273 lines

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)

Read the full file on GitHub · 273 lines

Changes

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 · 273 lines · 0 tokens per session scan A 8bf9d28bc044

Subscribe to this mod's changes

trade-earnings is a skill published in the GitHub repository zubair-trabzada/ai-trading-claude (319 stars, last pushed 7mo 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.

Finance and fintech

trade-earnings next to 6 skills from other repositories
Mod	Type	Stars	Last push	Licence	Scan	Tokens	Works with
trade-earningszubair-trabzada/ai-trading-claude	Skill	319	7mo ago	MIT	A	0	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