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 dca-botgit 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/dca-bot)<a href="https://agentmods.dev/skills/kayzaa/k.i.t.-bot/dca-bot"><img src="https://agentmods.dev/badge/skills/kayzaa/k.i.t.-bot/dca-bot.svg" alt="Measured on agentmods" 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 | $0.01251 |
| Opus 5 | $0.00000 | $0.00626 |
| Sonnet 5 | $0.00000 | $0.00250 |
| Haiku 4.5 | $0.00000 | $0.00125 |
Grade A, and why
dca-bot 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 dca-bot — 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 — 165 lines — stays where its author put it; the contents beside it link to each section on GitHub.
DCA Bot Skill
Automated Dollar-Cost Averaging bot inspired by 3Commas, with K.I.T. enhancements.
Overview
The DCA Bot executes intelligent dollar-cost averaging strategies across any exchange. Unlike simple scheduled buys, this bot uses technical indicators and market conditions to optimize entry points.
Features
Core DCA Strategies
- Simple DCA: Buy fixed amount at fixed intervals
- Smart DCA: Buy more when price drops, less when it rises
- Indicator DCA: Only DCA when RSI is oversold or other conditions met
- Hybrid DCA: Combine time-based and condition-based triggers
Safety Orders (3Commas-style)
- Base Order: Initial buy when bot starts or signal received
- Safety Orders: Additional buys when price drops X% from entry
- Martingale: Increase safety order size by multiplier
- Max Safety Orders: Limit total number of safety orders
Take Profit Strategies
- Single TP: Exit entire position at target %
- Scaled TP: Exit in portions (25% at 3%, 50% at 5%, 25% at 10%)
- Trailing TP: Lock in profits with trailing stop
- Dynamic TP: Adjust target based on volatility
Stop Loss Options
- Hard Stop: Exit at fixed % loss
- Trailing Stop: Move stop up as price rises
- Break-even Stop: Move stop to entry after X% profit
- No Stop: Rely on DCA to average down (high risk)
Configuration
# Example DCA Bot Config
bot:
name: "BTC Weekly DCA"
exchange: binance
symbol: BTC/USDT
mode: smart_dca
strategy:
base_order_size: 100 # USDT
safety_order_size: 50 # USDT
max_safety_orders: 5
safety_order_deviation: 2 # % drop to trigger
safety_order_multiplier: 1.5 # Size increase per order
take_profit: 5 # %
trailing_take_profit: true
trailing_deviation: 1 # %
stop_loss: 15 # % (optional)
schedule:
type: interval # or 'cron' or 'signal'
interval_hours: 168 # Weekly
conditions:
# Only DCA when these are met
- indicator: RSI
timeframe: 1d
condition: lt
value: 50
- indicator: price
condition: below_sma
period: 200
What ships with it
2 files 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 · 165 lines · 0 tokens per session scan A bd17d811cb4b
dca-bot 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 1,251 tokens. A static security scan graded it A with 0 findings. It is 100% identical to dca-bot, differing in 0 lines, and is treated as a copy.
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