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 dividend-managergit 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/dividend-manager)<a href="https://agentmods.dev/skills/kayzaa/k.i.t.-bot/dividend-manager"><img src="https://agentmods.dev/badge/skills/kayzaa/k.i.t.-bot/dividend-manager/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/dividend-manager"><img src="https://agentmods.dev/badge/skills/kayzaa/k.i.t.-bot/dividend-manager.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 | $0.00022 | $0.02565 |
| Opus 5.5 | $0.00009 | $0.01026 |
| Sonnet 5.5 | $0.00004 | $0.00513 |
| Haiku 4.5 | $0.00002 | $0.00257 |
Grade A, and why
dividend-manager 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.
This is a copy
100% identical to dividend-manager — 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 — 327 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Dividend Manager
Vollautomatisches Dividenden-Tracking und Reinvestment.
Overview
- Dividend Tracking - Alle Ausschüttungen erfassen
- DRIP Automation - Automatische Wiederanlage
- Income Forecast - Zukünftige Einnahmen planen
- Portfolio Optimization - Yield vs Growth Balance
🤖 AUTO-PILOT MODE
# ~/.kit/config/dividend-manager.json
{
"auto_pilot": {
"enabled": true,
"drip": {
"enabled": true,
"mode": "same_stock", # same_stock | diversify | accumulate_cash
"min_reinvest_eur": 25,
"require_approval": false
},
"alerts": {
"ex_dividend_reminder_days": 3,
"payment_notification": true,
"yield_change_threshold_pct": 10
},
"rebalance": {
"target_yield_pct": 4.0,
"max_single_position_pct": 10
},
"tax_optimization": {
"use_sparerpauschbetrag": true,
"freistellungsauftrag_eur": 1000
}
}
}
Commands
Track Dividend Portfolio
python3 -c "
import yfinance as yf
portfolio = [
{'symbol': 'AAPL', 'shares': 50},
{'symbol': 'MSFT', 'shares': 30},
{'symbol': 'JNJ', 'shares': 40},
{'symbol': 'KO', 'shares': 100},
{'symbol': 'O', 'shares': 75}, # Realty Income (monthly)
]
print('💰 DIVIDEND PORTFOLIO')
print('=' * 70)
print(f'{\"Symbol\":8} {\"Shares\":>8} {\"Price\":>10} {\"Div/Share\":>10} {\"Yield\":>8} {\"Annual\":>10}')
print('-' * 70)
total_value = 0
total_annual_div = 0
for p in portfolio:
try:
stock = yf.Ticker(p['symbol'])
info = stock.info
price = info.get('currentPrice', info.get('regularMarketPrice', 0))
div_rate = info.get('dividendRate', 0) or 0
div_yield = info.get('dividendYield', 0) or 0
position_value = p['shares'] * price
annual_div = p['shares'] * div_rate
total_value += position_value
total_annual_div += annual_div
print(f\"{p['symbol']:8} {p['shares']:>8} \${price:>9.2f} \${div_rate:>9.2f} {div_yield*100:>7.2f}% \${annual_div:>9.2f}\")
except Exception as e:
print(f\"{p['symbol']:8} Error: {e}\")
print('-' * 70)
portfolio_yield = (total_annual_div / total_value * 100) if total_value > 0 else 0
print(f'{\"TOTAL\":8} {\"\":>8} \${total_value:>9,.2f} {\"\":>10} {portfolio_yield:>7.2f}% \${total_annual_div:>9,.2f}')
print()
print(f'📅 Monthly Income: \${total_annual_div/12:,.2f}')
"
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.
- 1mo ago First seen · 327 lines · 22 tokens per session scan A 6711148646f4
dividend-manager is a skill published in the GitHub repository kayzaa/k.i.t.-bot (5 stars, last pushed 8mo ago), licensed MIT. It adds 22 tokens to every session and 2,565 once invoked, about $0.0001 per session on Opus 5.5. A static security scan graded it A with 0 findings. It is 100% identical to dividend-manager, differing in 0 lines, and is treated as a copy.
Other skills, from other repositories
BytesAgain Crypto Toolkit — 200+ Technical Indicators, Real-Time Market Data
Use when you need real-time crypto prices, technical indicators (RSI, MACD, Bollinger, 50+), market rankings, on-chain data, or trading signals. Zero API key required.
trading-futures
Trade perpetual futures on Binance, Bybit, Hyperliquid, MEXC with up to 200x leverage.
pump-swarm
Coordinated multi-wallet trading on Pump.fun.
copy-trading
Automatically copy trades from successful wallets on Polymarket and crypto.
slippage
Slippage estimation, optimization, and protection for trade execution.
trading-evm
Trade tokens on EVM chains - Uniswap V3, 1inch on Ethereum, Arbitrum, Optimism, Base, Polygon.