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.
npx skills add kayzaa/k.i.t.-bot --skill paper-tradinggit clone --depth 1 https://github.com/kayzaa/k.i.t.-botWrote 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.
[](https://agentmods.dev/skills/kayzaa/k.i.t.-bot/paper-trading)<a href="https://agentmods.dev/skills/kayzaa/k.i.t.-bot/paper-trading"><img src="https://agentmods.dev/badge/skills/kayzaa/k.i.t.-bot/paper-trading/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.
<a href="https://agentmods.dev/skills/kayzaa/k.i.t.-bot/paper-trading"><img src="https://agentmods.dev/badge/skills/kayzaa/k.i.t.-bot/paper-trading.svg" alt="Reviewed on agentmods" width="80" height="20"></a>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 | $0.00793 |
| Opus 5 | $0.00000 | $0.00396 |
| Sonnet 5 | $0.00000 | $0.00159 |
| Haiku 4.5 | $0.00000 | $0.00079 |
Grade A, and why
paper-trading 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.
This is a copy
100% identical to paper-trading — 0 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.
How it starts
The opening of the file, as written. The whole thing — 141 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Paper Trading
Risk-free trading simulation with real market data. Test strategies without risking real money.
Features
- Virtual Balance: Start with customizable paper money
- Real-Time Prices: Uses live market data for realistic execution
- Order Types: Market, Limit, Stop-Loss, Take-Profit orders
- Performance Tracking: Full P&L, win rate, and analytics
- Leaderboard: Compare with other paper traders
- Strategy Testing: Test any strategy risk-free
Quick Start
Initialize Paper Account
python paper_trading.py init --balance 10000 --currency USD
Place Orders
# Market buy
python paper_trading.py buy BTCUSDT 0.1 --type market
# Limit buy
python paper_trading.py buy BTCUSDT 0.1 --type limit --price 42000
# Market sell
python paper_trading.py sell BTCUSDT 0.1 --type market
# With stop-loss and take-profit
python paper_trading.py buy BTCUSDT 0.1 --sl 40000 --tp 50000
Check Portfolio
python paper_trading.py portfolio
View Trade History
python paper_trading.py history --limit 20
Performance Report
python paper_trading.py report
API Usage
from paper_trading import PaperTradingAccount
# Initialize account
account = PaperTradingAccount(initial_balance=10000)
# Place trades
account.buy('BTCUSDT', quantity=0.1, order_type='market')
account.sell('BTCUSDT', quantity=0.05, order_type='limit', price=50000)
# Check status
print(account.get_portfolio())
print(account.get_pnl())
Order Types
| Type | Description |
|---|---|
market |
Execute immediately at current price |
limit |
Execute when price reaches target |
stop |
Convert to market when stop price hit |
stop_limit |
Convert to limit when stop price hit |
Realistic Execution
Paper trading simulates realistic conditions:
- Slippage: Random 0.01-0.05% slippage on market orders
- Fees: Configurable trading fees (default 0.1%)
- Partial Fills: Large orders may be partially filled
- Delays: Simulated network latency
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.
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.
- 7d ago First seen · 141 lines · 0 tokens per session scan A 9bd8cf999a9d
paper-trading is a skill published in the GitHub repository kayzaa/k.i.t.-bot (5 stars, last pushed 6mo ago), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 793 tokens. A static security scan graded it A with 0 findings. It is 100% identical to paper-trading, differing in 0 lines, and is treated as a copy.
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