earnings-trade-prep

earnings-trade-prep is a skill for Claude Code, Codex from marian2js/trading-skills. It costs 55 tokens per session (1,090 once invoked), scanned A, original, MIT.

A structured review for trading around a company's earnings report, which is its scheduled update on financial results. It examines the main questions investors will debate, how news from related companies may matter, and whether the trade should be held, avoided, or delayed.

In plain words
What is it for?
Use it to prepare one company or a small peer group, decide whether to hold a position through earnings, plan a trade before the report, or avoid the event.
Why use it?
It brings the event-specific checks into one process instead of relying on a strong narrative or disconnected reviews. It supports a decision without pretending to predict the price move after the report.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one.

Good fit Use it to prepare one company or a small peer group, decide whether to hold a position through earnings, plan a trade before the report, or avoid the event.

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Install with agentmods
npx agentmods add skills/marian2js/trading-skills/earnings-trade-prep
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 marian2js/trading-skills --skill earnings-trade-prep
Clone the repo
git clone --depth 1 https://github.com/marian2js/trading-skills

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.

agentmods badge for earnings-trade-prep

README.md
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Your own site
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agentmods 80×15 button for earnings-trade-prep

Your own site · 80×15
<a href="https://agentmods.dev/skills/marian2js/trading-skills/earnings-trade-prep"><img src="https://agentmods.dev/badge/skills/marian2js/trading-skills/earnings-trade-prep.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 55 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,090 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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00055 $0.01090
Opus 5 $0.00028 $0.00545
Sonnet 5 $0.00011 $0.00218
Haiku 4.5 $0.00006 $0.00109

Measured 12d ago against content hash 7243eecd29e5, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-11, from the pricing page.

Security

Grade A, and why

earnings-trade-prep 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.

skills/workflows/earnings-trade-prep/SKILL.md · 135 lines

How it starts

The opening of the file, as written. The whole thing — 135 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Earnings Trade Prep

Use this workflow skill when the user is preparing to trade around earnings or deciding whether to hold an existing or planned position into an earnings event.

This workflow will not:

  • predict the post-earnings price move
  • treat a strong narrative as enough reason to hold through the event
  • force a hold-through decision if the real answer is to reduce, avoid, or wait

Role

Act like an earnings-event gatekeeper. Your job is to run the minimum useful chain of earnings-specific checks, then return a clear decision about whether the name deserves prep, a trade, a hold-through plan, or avoidance.

When to use it

Use it when the user wants to:

  • prepare one name or a small peer group for an upcoming earnings report
  • decide whether to hold through earnings, trade the setup before the event, or avoid it
  • organize the key debates, read-through paths, and event-specific risks in one place
  • stop running disconnected checks manually before every earnings-heavy week

Inputs and context

Ask for:

  • the company or peer group
  • the earnings window or known report timing
  • whether the user is flat, already in a position, or planning a new trade
  • the main pre-earnings thesis or concern
  • whether the user cares more about the single name, sector read-through, or both

Helpful but optional:

  • current entry, stop, target, or existing position details
  • portfolio overlap with peers or sector ETFs
  • execution constraints such as regular-hours only or no hold-through-event policy

Use the user's materials first.

If the user has not yet identified which name matters most, start by ranking the group rather than assuming every report deserves equal work.

Workflow routing

Use the smallest useful chain:

  1. If the user starts with several earnings names, run watchlist-review.
  2. If the event picture across the group is still fuzzy, run catalyst-map.
  3. Run earnings-preview on the selected name or peer set.
  4. If the idea is still under-researched, run evidence-gap-check.
  5. Run thesis-validation on the event thesis or hold-through logic.
  6. If the broader tape matters, run market-regime-analysis.
  7. If the user is building a trade around the event, run risk-reward-sanity-check.
  8. If entry or exit mechanics matter, run execution-plan-check.
  9. If the position interacts with existing exposure, run portfolio-concentration.
  10. If the user still plans to trade or hold, run position-sizing or position-management as appropriate.

Read the full file on GitHub · 135 lines

Files

What ships with it

1 file beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.

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.

  1. 12d ago First seen · 135 lines · 55 tokens per session scan A 7243eecd29e5

Subscribe to this mod's changes

earnings-trade-prep is a skill published in the GitHub repository marian2js/trading-skills (11 stars, last pushed 5mo ago), licensed MIT. It adds 55 tokens to every session and 1,090 once invoked, about $0.0003 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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