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 market-replaygit 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/market-replay)<a href="https://agentmods.dev/skills/kayzaa/k.i.t.-bot/market-replay"><img src="https://agentmods.dev/badge/skills/kayzaa/k.i.t.-bot/market-replay/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/market-replay"><img src="https://agentmods.dev/badge/skills/kayzaa/k.i.t.-bot/market-replay.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 | $0.00991 |
| Opus 5 | $0.00000 | $0.00495 |
| Sonnet 5 | $0.00000 | $0.00198 |
| Haiku 4.5 | $0.00000 | $0.00099 |
Grade A, and why
market-replay 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 8d 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 market-replay — 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 — 137 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Market Replay
Skill #92 - Historical market simulation for strategy testing
Overview
Replay historical market data in real-time or accelerated speed. Practice trading, test strategies, and learn from past market events without risking capital.
Inspired by TradingView's Replay feature.
Features
- 9 Replay Speeds: 0.5x, 1x, 2x, 3x, 5x, 10x, 25x, 50x, 100x
- Step Mode: Advance bar-by-bar for precise analysis
- Multi-Chart Sync: Replay multiple timeframes together
- Drawing Tools: Mark up charts during replay
- Order Simulation: Place virtual trades during replay
- Performance Tracking: P&L, win rate, stats from replay trades
- Event Markers: Jump to news events, earnings, Fed meetings
Usage
# Start replay from specific date
kit skill replay --symbol BTCUSDT --date 2024-03-14 --speed 10x
# Step-by-step mode
kit skill replay --symbol EURUSD --date 2024-01-01 --mode step
# Replay with paper trading
kit skill replay --symbol AAPL --date 2024-11-05 --paper-trade
# Jump to event
kit skill replay --symbol SPY --event "2024-fed-rate-cut"
Configuration
market_replay:
default_speed: 5x
default_timeframe: 5m
speeds:
- 0.5x
- 1x
- 2x
- 3x
- 5x
- 10x
- 25x
- 50x
- 100x
paper_trading:
initial_balance: 100000
commission: 0.001
slippage: 0.0001
saved_events:
- name: "2024 Bitcoin Halving"
date: "2024-04-20"
symbol: "BTCUSDT"
- name: "2024 US Election"
date: "2024-11-05"
symbols: ["SPY", "DXY", "XAUUSD"]
- name: "2025 Fed Rate Cut"
date: "2025-01-29"
Controls
| Key | Action |
|---|---|
Space |
Play/Pause |
→ |
Next bar (step mode) |
← |
Previous bar |
+ |
Increase speed |
- |
Decrease speed |
B |
Place buy order |
S |
Place sell order |
X |
Close position |
J |
Jump to date |
Example Session
{
"session": {
"symbol": "BTCUSDT",
"start_date": "2024-03-14",
"end_date": "2024-03-14T23:59:59Z",
"duration_real": "45m",
"duration_simulated": "24h"
},
"paper_results": {
"trades": 12,
"winners": 8,
"losers": 4,
"win_rate": 66.67,
"profit": 2340.50,
"max_drawdown": 890.00,
"sharpe": 1.42
},
"notes": [
"BTC broke ATH at 73k",
"Caught long at 71.2k, held through consolidation",
"Missed short opportunity at rejection"
]
}
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.
- 8d ago First seen · 137 lines · 0 tokens per session scan A bee202234562
market-replay 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 991 tokens. A static security scan graded it A with 0 findings. It is 100% identical to market-replay, differing in 0 lines, and is treated as a copy.
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