trade

trade is a skill for Claude Code from OZmasterAI/Torus-Framework. It costs 14 tokens per session (559 once invoked), scanned A, original, Apache-2.0.

A trading workflow for analyzing market data, forming a trade idea, checking risk gates, and placing a trade only after user confirmation.

In plain words
What is it for?
Use it to review price trends, support and resistance, volume, technical signals, risk and reward, portfolio state, and approved buy or sell orders.
Why use it?
It organizes the steps between seeing market information and executing an order, while keeping the final decision with the user.

Skill for Claude Code

Written for Claude Code: user-invocable in frontmatter.

Good fit Use it to review price trends, support and resistance, volume, technical signals, risk and reward, portfolio state, and approved buy or sell orders.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/ozmasterai/torus-framework/trade
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 OZmasterAI/Torus-Framework --skill trade
Clone the repo
git clone --depth 1 https://github.com/OZmasterAI/Torus-Framework

Made for: Claude Code.

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 trade

README.md
[![agentmods](https://agentmods.dev/badge/skills/ozmasterai/torus-framework/trade/github.svg)](https://agentmods.dev/skills/ozmasterai/torus-framework/trade)
Your own site
<a href="https://agentmods.dev/skills/ozmasterai/torus-framework/trade"><img src="https://agentmods.dev/badge/skills/ozmasterai/torus-framework/trade/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.

agentmods 80×15 button for trade

Your own site · 80×15
<a href="https://agentmods.dev/skills/ozmasterai/torus-framework/trade"><img src="https://agentmods.dev/badge/skills/ozmasterai/torus-framework/trade.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 14 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 559 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 $0.00014 $0.00559
Opus 5.5 $0.00006 $0.00224
Sonnet 5.5 $0.00003 $0.00112
Haiku 4.5 $0.00001 $0.00056

Measured 1mo ago against content hash 331824324bc3, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

trade 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 1mo 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.

dormant/skills/trade/SKILL.md · 54 lines

What it actually says

/trade — Trading Workflow

You are the trading brain. Analyze data, form a thesis, run gates, and execute trades with user confirmation.

Workflow

  1. Memory check: search_knowledge("trading <symbol>") for prior trades and insights on this symbol.

  2. Gather state: Run these in parallel:

    ~/projects/trading-claude/.venv/bin/python3 ~/projects/trading-claude/scripts/fetch_data.py --symbol <SYMBOL> --limit 30
    ~/projects/trading-claude/.venv/bin/python3 ~/projects/trading-claude/scripts/portfolio.py --format json
    
  3. Analyze: You ARE the analyst. Review candle data, identify:

    • Trend direction and strength
    • Support/resistance levels
    • Volume patterns
    • Key technical signals
    • Risk/reward ratio
  4. Decision: If recommending a trade, state your thesis clearly, then run gates:

    ~/projects/trading-claude/.venv/bin/python3 ~/projects/trading-claude/scripts/check_gates.py --symbol <SYMBOL> --side <BUY|SELL> --quantity <QTY> --thesis "<your thesis>"
    
  5. Present to user: Show gate results and your thesis. Ask for explicit confirmation before executing.

  6. Execute (only after user confirms):

    ~/projects/trading-claude/.venv/bin/python3 ~/projects/trading-claude/scripts/execute_order.py --symbol <SYMBOL> --side <BUY|SELL> --quantity <QTY> --thesis "<thesis>" --skip-gates
    

    Use --skip-gates because gates were already checked in step 4.

  7. Show result: Run portfolio.py --format text to show updated portfolio state.

  8. Save to memory: remember_this() with trade details, thesis, outcome. Tags: type:trade,area:trading,ticker:<SYMBOL>

Rules

  • NEVER execute a trade without explicit user confirmation
  • ALWAYS run gates before proposing a trade
  • ALWAYS provide a thesis with your recommendation
  • ALWAYS show gate results to the user
  • Paper mode by default — warn if connector is not "paper"
  • If all gates fail, explain why and suggest adjustments
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. 1mo ago First seen · 54 lines · 14 tokens per session scan A 331824324bc3

Subscribe to this mod's changes

trade is a skill published in the GitHub repository OZmasterAI/Torus-Framework (5 stars, last pushed 5mo ago), licensed Apache-2.0. It adds 14 tokens to every session and 559 once invoked, about $0.0001 per session on Opus 5.5. 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 2026-08-31.

Related

Other skills, from other repositories

sector-rotation

An analysis framework for comparing industries in the Chinese A-share stock market, using business conditions, price momentum, valuation, and money flows. It produces rankings and higher- or lower-allocation suggestions.

HKUDS/Vibe-Trading · 39 tokens

strategy-pivot-designer

Detect backtest iteration stagnation and generate structurally different strategy pivot proposals when parameter tuning reaches a local optimum.

tradermonty/claude-trading-skills · 28 tokens

twitter-reader

Read Twitter/X for financial research through opencli: the user's home timeline, tweet search, trending topics, bookmarks, a user's recent tweets, threads, articles, profiles, followers and following, and notifications. Use this skill whenever the user wants to know what people are saying on Twitter/X or fintwit about…

himself65/finance-skills · 110 tokens

energy-procurement

Codified expertise for electricity and gas procurement, tariff optimization, demand charge management, renewable PPA evaluation, and multi-facility energy cost management. Informed by energy procurement managers with 15+ years experience at large commercial and industrial consumers. Includes market structure analysis…

hashgraph-online/awesome-codex-plugins · 93 tokens

airdrop-hunting-guide

Guide to finding and qualifying for crypto airdrops — eligibility criteria, farming strategies, on-chain activity requirements, Sybil detection avoidance, and tracking tools. Use when helping users understand airdrops, check eligibility, or plan participation strategies.

nirholas/three.ws · 54 tokens

china-portfolio-monitoring

A monitoring framework for tracking the financial results, operating measures, strategic milestones, and risks of companies held by China-focused private-equity funds. It uses measures such as revenue growth, margins, debt, cash flow, and return on equity.

jwangkun/claude-for-financial-services-cn · 86 tokens