Technical Analyst
tradermonty/claude-trading-skills
This skill should be used when analyzing weekly price charts for stocks, stock indices, cryptocurrencies, or forex pairs.
Automatic tax tracking for all trades. An agent skill from Signal-Execution-Labs/forex-trading-ai-agent.
$ npx skills add Signal-Execution-Labs/forex-trading-ai-agent --skill tax-tracker -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install Signal-Execution-Labs/forex-trading-ai-agent tax-tracker --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ git clone --depth 1 https://github.com/Signal-Execution-Labs/forex-trading-ai-agent.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/tax-tracker .claude/skills/tax-tracker && rm -rf skills-srcUse ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.
Claude Code skills documentation · loads skills from .claude/skills/
Install the "tax-tracker" agent skill from https://github.com/Signal-Execution-Labs/forex-trading-ai-agent/tree/main/skills/tax-tracker into .claude/skills/tax-tracker/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "tax-tracker", then confirm the skill loads.Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$skill-installer install https://github.com/Signal-Execution-Labs/forex-trading-ai-agent/tree/main/skills/tax-trackerType this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.
$ npx skills add Signal-Execution-Labs/forex-trading-ai-agent --skill tax-tracker -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install Signal-Execution-Labs/forex-trading-ai-agent tax-tracker --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/Signal-Execution-Labs/forex-trading-ai-agent.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/tax-tracker .agents/skills/tax-tracker && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "tax-tracker" agent skill from https://github.com/Signal-Execution-Labs/forex-trading-ai-agent/tree/main/skills/tax-tracker into .agents/skills/tax-tracker/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "tax-tracker", then confirm the skill loads.Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add Signal-Execution-Labs/forex-trading-ai-agent --skill tax-tracker -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install Signal-Execution-Labs/forex-trading-ai-agent tax-tracker --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/Signal-Execution-Labs/forex-trading-ai-agent.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/tax-tracker .cursor/skills/tax-tracker && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "tax-tracker" agent skill from https://github.com/Signal-Execution-Labs/forex-trading-ai-agent/tree/main/skills/tax-tracker into .cursor/skills/tax-tracker/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "tax-tracker", then confirm the skill loads.Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gemini skills install https://github.com/Signal-Execution-Labs/forex-trading-ai-agent.git --path skills/tax-tracker--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add Signal-Execution-Labs/forex-trading-ai-agent --skill tax-tracker -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install Signal-Execution-Labs/forex-trading-ai-agent tax-tracker --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/Signal-Execution-Labs/forex-trading-ai-agent.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/tax-tracker .gemini/skills/tax-tracker && rm -rf skills-srcUse ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.
Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/
Install the "tax-tracker" agent skill from https://github.com/Signal-Execution-Labs/forex-trading-ai-agent/tree/main/skills/tax-tracker into .gemini/skills/tax-tracker/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "tax-tracker", then confirm the skill loads.Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gh skill install Signal-Execution-Labs/forex-trading-ai-agent tax-trackerInstalls for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).
$ npx skills add Signal-Execution-Labs/forex-trading-ai-agent --skill tax-tracker -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/Signal-Execution-Labs/forex-trading-ai-agent.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/tax-tracker .github/skills/tax-tracker && rm -rf skills-srcUse ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.
GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/
Install the "tax-tracker" agent skill from https://github.com/Signal-Execution-Labs/forex-trading-ai-agent/tree/main/skills/tax-tracker into .github/skills/tax-tracker/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "tax-tracker", then confirm the skill loads.GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add Signal-Execution-Labs/forex-trading-ai-agent --skill tax-tracker -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install Signal-Execution-Labs/forex-trading-ai-agent tax-tracker --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/Signal-Execution-Labs/forex-trading-ai-agent.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/tax-tracker .opencode/skills/tax-tracker && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "tax-tracker" agent skill from https://github.com/Signal-Execution-Labs/forex-trading-ai-agent/tree/main/skills/tax-tracker into .opencode/skills/tax-tracker/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "tax-tracker", then confirm the skill loads.OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
tax-trackerAutomatic tax tracking for all trades. An agent skill from Signal-Execution-Labs/forex-trading-ai-agent.
Tax Tracker is an agent skill from Signal-Execution-Labs/forex-trading-ai-agent. Automatic tax tracking for all trades. Calculate capital gains, generate tax reports, and optimize tax liability.
Its SKILL.md is about 2.5k tokens, which your agent loads only when the skill is triggered. The skill folder holds 2 other files, including scripts (for example `scripts/tax_report.py`).
It sits in Business, Finance & HR. The repository describes itself as: About AI quantitative trading platform for crypto, stocks, and forex with backtesting, live trading, market data, and multi-agent research.vibe-trading…. The licence is MIT.
4 steps, taken from the first numbered list in SKILL.md.
Read from SKILL.md and the folder at commit b8a6047. It shows what the files ask for, not the result of running them.
Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.
From allowed-tools in the SKILL.md frontmatter.
Ships 1 file in scripts/ (Python), which the agent can run.
Shell commands in SKILL.md call:
python3From the folder's file list and the shell code blocks in SKILL.md.
No URLs in SKILL.md.
From URLs in SKILL.md, links to its own repository left out.
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Tax Tracker loads about 2.5k tokens when it runs. Until then it costs about 31 tokens; SKILL.md has 142 words of instructions outside code blocks.
Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.
The automated check found no risky patterns in SKILL.md.
Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); the scripts in this folder are not scanned.
The full file from Signal-Execution-Labs/forex-trading-ai-agent at commit b8a6047, republished under its MIT licence (© Signal-Execution-Labs). 142 words, ~2,465 tokens.
.claude/skills/tax-tracker/SKILL.md (or your agent's skills folder). This skill also uses 1 other file; get the full folder from GitHub.Vollautomatisches Steuer-Tracking für alle Trading-Aktivitäten.
# ~/.kit/config/tax-tracker.json
{
"auto_pilot": {
"enabled": true,
"sync_interval_hours": 24,
"methods": {
"crypto": "FIFO",
"stocks": "FIFO"
},
"tax_loss_harvesting": {
"enabled": true,
"threshold_eur": 500,
"require_approval": true
},
"reports": {
"auto_generate": true,
"schedule": "monthly",
"formats": ["pdf", "csv"]
},
"notifications": {
"tax_deadline_reminder": true,
"large_gain_alert": 1000
}
},
"jurisdiction": "DE",
"tax_year": 2026
}| Asset | Haltefrist | Steuersatz |
|---|---|---|
| Crypto | 1 Jahr steuerfrei | bis 45% + Soli |
| Aktien | Keine | 25% Abgeltungssteuer |
| ETFs | Keine | 25% + Teilfreistellung |
python3 -c "
import ccxt
import json
import os
from datetime import datetime
exchanges_config = json.load(open(os.path.expanduser('~/.kit/exchanges.json')))
all_trades = []
for name, cfg in exchanges_config.items():
try:
exchange = getattr(ccxt, name)(cfg)
# Fetch all trades (may need pagination)
trades = exchange.fetch_my_trades('BTC/USDT', limit=100)
for t in trades:
all_trades.append({
'exchange': name,
'symbol': t['symbol'],
'side': t['side'],
'amount': t['amount'],
'price': t['price'],
'cost': t['cost'],
'fee': t['fee']['cost'] if t['fee'] else 0,
'timestamp': t['timestamp'],
'date': datetime.fromtimestamp(t['timestamp']/1000).isoformat()
})
print(f'✅ {name}: {len(trades)} trades imported')
except Exception as e:
print(f'⚠️ {name}: {e}')
print(f'\\n📊 Total: {len(all_trades)} trades')
# Save: json.dump(all_trades, open('trades_2026.json', 'w'), indent=2)
"python3 -c "
from collections import defaultdict
from datetime import datetime, timedelta
# Example trades
trades = [
{'side': 'buy', 'amount': 1.0, 'price': 40000, 'date': '2025-01-15', 'asset': 'BTC'},
{'side': 'buy', 'amount': 0.5, 'price': 45000, 'date': '2025-06-01', 'asset': 'BTC'},
{'side': 'sell', 'amount': 0.8, 'price': 50000, 'date': '2026-02-01', 'asset': 'BTC'},
]
# FIFO calculation
holdings = defaultdict(list) # asset -> [(amount, price, date)]
gains = []
for trade in sorted(trades, key=lambda x: x['date']):
asset = trade['asset']
if trade['side'] == 'buy':
holdings[asset].append({
'amount': trade['amount'],
'price': trade['price'],
'date': datetime.fromisoformat(trade['date'])
})
elif trade['side'] == 'sell':
sell_amount = trade['amount']
sell_price = trade['price']
sell_date = datetime.fromisoformat(trade['date'])
while sell_amount > 0 and holdings[asset]:
lot = holdings[asset][0]
# Calculate how much from this lot
used = min(lot['amount'], sell_amount)
# Calculate gain
proceeds = used * sell_price
cost_basis = used * lot['price']
gain = proceeds - cost_basis
# Check holding period (Germany: 1 year = tax free for crypto)
holding_days = (sell_date - lot['date']).days
tax_free = holding_days >= 365
gains.append({
'asset': asset,
'amount': used,
'proceeds': proceeds,
'cost_basis': cost_basis,
'gain': gain,
'holding_days': holding_days,
'tax_free': tax_free
})
# Update lot
lot['amount'] -= used
sell_amount -= used
if lot['amount'] <= 0:
holdings[asset].pop(0)
print('🧾 CAPITAL GAINS REPORT (FIFO)')
print('=' * 60)
total_gain = 0
taxable_gain = 0
for g in gains:
status = '🟢 Steuerfrei' if g['tax_free'] else '🔴 Steuerpflichtig'
print(f\"{g['asset']}: {g['amount']:.4f} | Gewinn: €{g['gain']:,.2f} | {g['holding_days']}d | {status}\")
total_gain += g['gain']
if not g['tax_free']:
taxable_gain += g['gain']
print()
print(f'Gesamt-Gewinn: €{total_gain:,.2f}')
print(f'Steuerpflichtiger Gewinn: €{taxable_gain:,.2f}')
print(f'Geschätzte Steuer (42%): €{taxable_gain * 0.42:,.2f}')
"python3 -c "
import ccxt
# Current holdings with cost basis
holdings = [
{'asset': 'BTC', 'amount': 0.5, 'cost_basis': 50000, 'buy_date': '2025-08-01'},
{'asset': 'ETH', 'amount': 2.0, 'cost_basis': 3000, 'buy_date': '2025-09-15'},
{'asset': 'SOL', 'amount': 20, 'cost_basis': 150, 'buy_date': '2025-10-01'},
]
exchange = ccxt.binance()
print('🧾 TAX-LOSS HARVESTING OPPORTUNITIES')
print('=' * 60)
total_unrealized_loss = 0
for h in holdings:
try:
ticker = exchange.fetch_ticker(f\"{h['asset']}/USDT\")
current_price = ticker['last']
current_value = h['amount'] * current_price
cost = h['amount'] * h['cost_basis']
unrealized = current_value - cost
if unrealized < 0:
total_unrealized_loss += abs(unrealized)
print(f\"🔴 {h['asset']}: Unrealized Loss €{unrealized:,.2f}\")
print(f\" Sell now to realize loss for tax offset\")
print(f\" Can rebuy after 30 days (wash sale rule)\")
print()
except:
pass
print(f'Total harvestable losses: €{total_unrealized_loss:,.2f}')
print(f'Potential tax savings (42%): €{total_unrealized_loss * 0.42:,.2f}')
"python3 -c "
from datetime import datetime
import json
# Mock data - load from trades file
report = {
'year': 2026,
'jurisdiction': 'DE',
'summary': {
'total_proceeds': 125000,
'total_cost_basis': 100000,
'total_gains': 25000,
'tax_free_gains': 15000,
'taxable_gains': 10000,
'total_fees': 500,
'estimated_tax': 4200
},
'by_asset': {
'BTC': {'gains': 18000, 'taxable': 8000},
'ETH': {'gains': 5000, 'taxable': 2000},
'SOL': {'gains': 2000, 'taxable': 0}
}
}
print('🧾 ANNUAL TAX REPORT 2026')
print('=' * 60)
print(f\"Jurisdiction: {report['jurisdiction']}\")
print()
print('SUMMARY')
print('-' * 60)
print(f\"Total Proceeds: €{report['summary']['total_proceeds']:>12,.2f}\")
print(f\"Total Cost Basis: €{report['summary']['total_cost_basis']:>12,.2f}\")
print(f\"Total Gains: €{report['summary']['total_gains']:>12,.2f}\")
print(f\" - Tax Free: €{report['summary']['tax_free_gains']:>12,.2f}\")
print(f\" - Taxable: €{report['summary']['taxable_gains']:>12,.2f}\")
print(f\"Trading Fees: €{report['summary']['total_fees']:>12,.2f}\")
print()
print(f\"Estimated Tax: €{report['summary']['estimated_tax']:>12,.2f}\")
print()
print('BY ASSET')
print('-' * 60)
for asset, data in report['by_asset'].items():
print(f\"{asset:6} | Gains: €{data['gains']:>10,.2f} | Taxable: €{data['taxable']:>10,.2f}\")
"python3 -c "
import json
import os
from datetime import datetime
config_path = os.path.expanduser('~/.kit/config/tax-tracker.json')
# Auto-pilot logic
def run_auto_pilot():
config = json.load(open(config_path)) if os.path.exists(config_path) else {}
auto = config.get('auto_pilot', {})
if not auto.get('enabled'):
print('⚠️ Auto-pilot disabled')
return
print('🤖 TAX TRACKER AUTO-PILOT')
print('=' * 50)
print(f'Running at: {datetime.now().isoformat()}')
print()
# 1. Sync trades from all exchanges
print('📥 Syncing trades from exchanges...')
# sync_all_trades()
# 2. Calculate current tax position
print('📊 Calculating tax position...')
# calculate_gains()
# 3. Check for tax-loss harvesting
if auto.get('tax_loss_harvesting', {}).get('enabled'):
print('🔍 Checking tax-loss harvesting opportunities...')
# find_harvest_opportunities()
# 4. Generate report if scheduled
if auto.get('reports', {}).get('auto_generate'):
print('📄 Generating tax report...')
# generate_report()
print()
print('✅ Auto-pilot cycle complete')
run_auto_pilot()
"| Format | Use Case |
|---|---|
| CSV | Import to tax software |
| Archive / Advisor | |
| JSON | K.I.T. internal |
| XLSX | Manual review |
| Deadline | Action |
|---|---|
| 31. Juli | Steuererklärung ohne Steuerberater |
| 28/29. Feb | Steuererklärung mit Steuerberater |
| Laufend | Vorauszahlungen (15.3, 15.6, 15.9, 15.12) |
© Signal-Execution-Labs, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
SKILL.md and 1 other file (scripts) in skills/tax-tracker of Signal-Execution-Labs/forex-trading-ai-agent.
Open the folder on GitHubat commit b8a6047
Tax Tracker next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| Tax Tracker this skillSignal-Execution-Labs/forex-trading-ai-agent | 162 | — | ~2.5k | Automated safety check: Pass | MIT | |
| Technical Analysttradermonty/claude-trading-skills | 3k | 4 repos | ~4.6k | Automated safety check: Pass | MIT | |
| Theme Detectortradermonty/claude-trading-skills | 3k | 2 repos | ~4.9k | Automated safety check: Pass | MIT | |
| Creating Financial ModelsChen-zexi/open-ptc-agent | 729 | 3 repos | ~1.3k | Automated safety check: Pass | MIT | |
| Stock APIzhangxiangliang/stock-api | 2k | — | ~507 | Automated safety check: Pass | MIT | |
| Itr Walakaranb192/itr-wala | 871 | — | ~3.6k | Automated safety check: Pass | MIT |
tradermonty/claude-trading-skills
This skill should be used when analyzing weekly price charts for stocks, stock indices, cryptocurrencies, or forex pairs.
tradermonty/claude-trading-skills
Detect and analyze trending market themes across sectors. An agent skill from tradermonty/claude-trading-skills.
Chen-zexi/open-ptc-agent
This skill provides an advanced financial modeling suite with DCF analysis, sensitivity testing, Monte Carlo simulations, and scenario planning for investment decisions
zhangxiangliang/stock-api
Fetch real-time stock quotes, K-line (candlestick) history, and search symbols for China A-shares, Hong Kong, and US markets.
karanb192/itr-wala
File Indian income tax returns (ITR) for FY 2025-26 / AY 2026-27.
zillionare/zillionare
面向中文自然语言的 Tushare 数据研究技能。用于把“看看这只股票最近怎么样”“帮我查财报趋势”“最近哪个板块最强”“北向资金在买什么”“给我导出一份行情数据”这类请求,转成可执行的数据获取、清洗、对比、筛选、导出与简要分析流程。适用于 A 股、指数、ETF/基金、财务、估值、资金流、公告新闻、板块概念与宏观数据等研究场景。
Signal-Execution-Labs/forex-trading-ai-agent
Automatic portfolio rebalancing to maintain target allocations.
Signal-Execution-Labs/forex-trading-ai-agent
Set price alerts, volume alerts, indicator alerts (RSI/MACD), and news alerts for crypto trading.
Signal-Execution-Labs/forex-trading-ai-agent
Automated trading with strategy execution, risk management, position sizing, and stop-loss/take-profit.
Signal-Execution-Labs/forex-trading-ai-agent
Backtest trading strategies with historical data. An agent skill from Signal-Execution-Labs/forex-trading-ai-agent.
Signal-Execution-Labs/forex-trading-ai-agent
Connect to DeFi protocols for staking, lending, yield farming, and liquidity provision.
Signal-Execution-Labs/forex-trading-ai-agent
Track dividends, manage DRIP (reinvestment), forecast income, and optimize dividend portfolio.
Categories
Automatic tax tracking for all trades. An agent skill from Signal-Execution-Labs/forex-trading-ai-agent. Tax Tracker is an agent skill from Signal-Execution-Labs/forex-trading-ai-agent. Automatic tax tracking for all trades.
Tax Tracker fits situations like: business, Finance & HR work in your project.
Run `npx skills add Signal-Execution-Labs/forex-trading-ai-agent --skill tax-tracker -a claude-code`. Or copy the skill folder (skills/tax-tracker in Signal-Execution-Labs/forex-trading-ai-agent) into .claude/skills/tax-tracker in your project. Claude Code loads it when a task matches its description.
Run `npx skills add Signal-Execution-Labs/forex-trading-ai-agent --skill tax-tracker -a codex`. Or copy the skill folder (skills/tax-tracker in Signal-Execution-Labs/forex-trading-ai-agent) into .agents/skills/tax-tracker in your project. Codex loads it when a task matches its description.
Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add Signal-Execution-Labs/forex-trading-ai-agent --skill tax-tracker -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/tax-tracker, .gemini/skills/tax-tracker, .github/skills/tax-tracker and .opencode/skills/tax-tracker in your project.
Going by SKILL.md and its folder, Tax Tracker needs Python for the scripts in its folder and the command-line tools its instructions call (python3). Our summary lists: Python 3.
SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.
Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. The check reads SKILL.md only: the scripts in the folder are not scanned, so read them before running anything.
Tax Tracker is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.
About 2.5k tokens (SKILL.md is roughly 9.9k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.
Skills that share tags, products or a category with Tax Tracker: Technical Analyst (tradermonty/claude-trading-skills, 3k stars), Theme Detector (tradermonty/claude-trading-skills, 3k stars), Creating Financial Models (Chen-zexi/open-ptc-agent, 729 stars) and Stock API (zhangxiangliang/stock-api, 2k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Signal-Execution-Labs (a GitHub organization) maintains it in Signal-Execution-Labs/forex-trading-ai-agent, which has 162 GitHub stars. The repository holds 11 skills in this directory. The repository was last updated on September 14, 2026.
Source: Signal-Execution-Labs/forex-trading-ai-agent on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.