market

market is a skill for Claude Code, Codex from OZmasterAI/Torus-Framework. It costs 14 tokens per session (467 once invoked), scanned A, original, Apache-2.0.

A read-only market-analysis tool for studying investments, portfolios, and trading strategies using market data.

In plain words
What is it for?
Use it to analyze a symbol, review portfolio health and risk, run backtests, and compare strategy results.
Why use it?
It brings trend, risk, profit-and-loss, and strategy results into one review without placing trades.

Skill for Claude CodeCodex

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.

agentmods
npx agentmods add skills/ozmasterai/torus-framework/market
Any agent
npx skills add OZmasterAI/Torus-Framework --skill market
Clone the repo
git clone --depth 1 https://github.com/OZmasterAI/Torus-Framework

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 market

README.md
[![agentmods](https://agentmods.dev/badge/skills/ozmasterai/torus-framework/market.svg)](https://agentmods.dev/skills/ozmasterai/torus-framework/market)
Your own site
<a href="https://agentmods.dev/skills/ozmasterai/torus-framework/market"><img src="https://agentmods.dev/badge/skills/ozmasterai/torus-framework/market.svg" alt="Measured on agentmods" 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 467 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
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 $0.00014 $0.00467
Opus 5 $0.00007 $0.00234
Sonnet 5 $0.00003 $0.00093
Haiku 4.5 $0.00001 $0.00047

Measured 3d ago against content hash 1891db7118cd, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

market 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 3d 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/market/SKILL.md · 52 lines

What it actually says

/market — Market Analysis (Read-Only)

Analyze markets, review portfolio, run backtests, compare strategies. Never executes trades.

Workflow

Parse the user's argument to determine the action:

Symbol Analysis (default)

  1. search_knowledge("market analysis <symbol>") for prior analysis
  2. Fetch data:
    ~/projects/trading-claude/.venv/bin/python3 ~/projects/trading-claude/scripts/fetch_data.py --symbol <SYMBOL> --limit 30
    
  3. Analyze: trend, support/resistance, volume, patterns, key levels
  4. remember_this() significant findings with tags: type:learning,area:trading,ticker:<SYMBOL>

Portfolio Review ("portfolio")

  1. Run both in parallel:
    ~/projects/trading-claude/.venv/bin/python3 ~/projects/trading-claude/scripts/portfolio.py --format text
    ~/projects/trading-claude/.venv/bin/python3 ~/projects/trading-claude/scripts/performance.py
    
  2. Summarize portfolio health, risk exposure, P&L

Backtest ("backtest ")

  1. Run backtest:
    ~/projects/trading-claude/.venv/bin/python3 ~/projects/trading-claude/scripts/backtest.py --strategy <STRATEGY> --symbol <SYMBOL> --limit 365
    
  2. Analyze results: win rate, P&L, drawdown, trade distribution

Strategy Comparison ("compare")

  1. Run comparison:
    ~/projects/trading-claude/.venv/bin/python3 ~/projects/trading-claude/scripts/performance.py --compare
    
  2. Rank strategies, identify best/worst performers

Rules

  • READ-ONLY — this skill never executes trades
  • Use /trade if the user wants to act on analysis
  • Save significant findings to memory
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. 3d ago First seen · 52 lines · 14 tokens per session scan A 1891db7118cd

Subscribe to this mod's changes

market is a skill published in the GitHub repository OZmasterAI/Torus-Framework (5 stars, last pushed 3mo ago), licensed Apache-2.0. It adds 14 tokens to every session and 467 once invoked, about $0.0001 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 2026-08-31.

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