execution-plan-check

execution-plan-check is a skill for Claude Code, Codex from marian2js/trading-skills. It costs 42 tokens per session (1,337 once invoked), scanned A, original, MIT.

A check of whether a planned trade can be placed and managed in real market conditions. It examines order choices, trading volume, bid-ask spread, event timing, and whether the stop and exit instructions are realistic.

In plain words
What is it for?
It is for choosing market, limit, stop, or stop-limit orders and checking a trade before placing it, especially around earnings, economic releases, market openings, or extended-hours trading.
Why use it?
It catches practical problems that can spoil a sound trading idea, such as thin trading, wide spreads, fast markets, or an order that cannot behave as expected.

Skill for Claude CodeCodex

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

Good fit It is for choosing market, limit, stop, or stop-limit orders and checking a trade before placing it, especially around earnings, economic releases, market openings, or extended-hours trading.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/marian2js/trading-skills/execution-plan-check
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 execution-plan-check
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 execution-plan-check

README.md
[![agentmods](https://agentmods.dev/badge/skills/marian2js/trading-skills/execution-plan-check.svg)](https://agentmods.dev/skills/marian2js/trading-skills/execution-plan-check)
Your own site
<a href="https://agentmods.dev/skills/marian2js/trading-skills/execution-plan-check"><img src="https://agentmods.dev/badge/skills/marian2js/trading-skills/execution-plan-check.svg" alt="Measured on agentmods" height="20"></a>
Per session 42 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,337 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 $0.00042 $0.01337
Opus 5 $0.00021 $0.00668
Sonnet 5 $0.00008 $0.00267
Haiku 4.5 $0.00004 $0.00134

Measured 7d ago against content hash 7fb32d3307b6, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-07, from the pricing page.

Security

Grade A, and why

execution-plan-check 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 7d 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-construction/execution-plan-check/SKILL.md · 120 lines

How it starts

The opening of the file, as written. The whole thing — 120 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Execution Plan Check

Use this skill after the thesis and trade structure make sense but before the user places the order, when the main question is whether the plan can be executed cleanly in the real market.

This skill will not:

  • decide whether the thesis itself is valid
  • replace position sizing or portfolio-concentration review
  • promise that a careful order plan eliminates slippage, gaps, or fast-market risk

Role

Act like an execution-focused trader reviewing an order ticket before it goes live. Your job is to find operational problems that can break a good idea in the real market.

When to use it

Use it when the user wants to:

  • choose between market, limit, stop, or stop-limit logic
  • identify spread, liquidity, or market-impact problems before entering
  • check whether the plan is unsafe around earnings, macro releases, the open, the close, or extended hours
  • confirm that the stop, exit logic, and order instructions are realistic for the instrument being traded

Inputs and context

Ask for:

  • instrument and direction
  • intended entry method: market, limit, stop, stop-limit, staged entry, and so on
  • planned stop logic and any target or exit logic
  • timeframe and urgency: must enter now, buy pullback, breakout trigger, swing entry, and so on
  • whether the user expects to trade during regular hours, the open, the close, or extended hours
  • any known catalyst timing, such as earnings, CPI, FOMC, or company news risk

Helpful but optional:

  • approximate spread, average volume, or liquidity notes the user already has
  • position size relative to normal volume or displayed size
  • whether the instrument is an option, narrow ETF, microcap, futures contract, or OTC security

Use the user's materials first.

If core execution details are missing, state what is missing and keep the review provisional rather than filling gaps with assumptions.

Do not fetch live market data unless the user explicitly asks to pair this skill with a market-data or event-risk skill.

Read the full file on GitHub · 120 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. 7d ago First seen · 120 lines · 42 tokens per session scan A 7fb32d3307b6

Subscribe to this mod's changes

execution-plan-check is a skill published in the GitHub repository marian2js/trading-skills (11 stars, last pushed 5mo ago), licensed MIT. It adds 42 tokens to every session and 1,337 once invoked, about $0.0002 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.

Related

Other skills, from other repositories

tushare

A Python interface for Tushare, a financial data service that provides market and company information for stocks, funds, futures, and digital assets. It returns queried data as pandas tables.

HKUDS/Vibe-Trading · 79 tokens

social-media-intelligence

Social media intelligence: financial signal extraction from Twitter/X, Telegram, Discord, and Reddit for sentiment-driven trading strategies.

HKUDS/Vibe-Trading · 28 tokens

credit-analysis

A guide to analysing bonds and other fixed-income investments, including issuer credit quality, interest payments, default risk, credit spreads, and convertible bonds. It also covers Chinese fixed-income markets and local-government financing bonds.

HKUDS/Vibe-Trading · 36 tokens

etf-analysis

A framework for comparing exchange-traded funds (ETFs), which are funds bought and sold on a stock exchange and usually track an index, industry, asset, or strategy. It covers fees, how closely an ETF follows its target, trading activity, and portfolio use.

HKUDS/Vibe-Trading · 39 tokens

geopolitical-risk

Geopolitical risk analysis: quantify crisis signals, identify precursors, and build event-driven strategies for war, sanctions, and supply disruption scenarios.

HKUDS/Vibe-Trading · 34 tokens

vibe-trading

Professional finance research toolkit — backtesting (10 engines + benchmark comparison panel), factor analysis, Alpha Zoo (462 pre-built alphas across qlib158/alpha101/gtja191/academic/fundamental), options pricing, 90 finance skills, 30 multi-agent swarm teams, Trade Journal analyzer, and Shadow Account (extract →…

HKUDS/Vibe-Trading · 173 tokens