Swapper Deposit
swapperfinance/swapper-toolkit
Deposit and bridge funds into a wallet or protocol using Swapper Finance.
Connect to DeFi protocols for staking, lending, yield farming, and liquidity provision.
$ npx skills add Signal-Execution-Labs/forex-trading-ai-agent --skill defi-connector -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install Signal-Execution-Labs/forex-trading-ai-agent defi-connector --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/defi-connector .claude/skills/defi-connector && 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 "defi-connector" agent skill from https://github.com/Signal-Execution-Labs/forex-trading-ai-agent/tree/main/skills/defi-connector into .claude/skills/defi-connector/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "defi-connector", 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/defi-connectorType 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 defi-connector -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install Signal-Execution-Labs/forex-trading-ai-agent defi-connector --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/defi-connector .agents/skills/defi-connector && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "defi-connector" agent skill from https://github.com/Signal-Execution-Labs/forex-trading-ai-agent/tree/main/skills/defi-connector into .agents/skills/defi-connector/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "defi-connector", 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 defi-connector -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install Signal-Execution-Labs/forex-trading-ai-agent defi-connector --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/defi-connector .cursor/skills/defi-connector && 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 "defi-connector" agent skill from https://github.com/Signal-Execution-Labs/forex-trading-ai-agent/tree/main/skills/defi-connector into .cursor/skills/defi-connector/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "defi-connector", 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/defi-connector--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 defi-connector -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install Signal-Execution-Labs/forex-trading-ai-agent defi-connector --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/defi-connector .gemini/skills/defi-connector && 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 "defi-connector" agent skill from https://github.com/Signal-Execution-Labs/forex-trading-ai-agent/tree/main/skills/defi-connector into .gemini/skills/defi-connector/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "defi-connector", 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 defi-connectorInstalls 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 defi-connector -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/defi-connector .github/skills/defi-connector && 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 "defi-connector" agent skill from https://github.com/Signal-Execution-Labs/forex-trading-ai-agent/tree/main/skills/defi-connector into .github/skills/defi-connector/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "defi-connector", 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 defi-connector -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 defi-connector --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/defi-connector .opencode/skills/defi-connector && 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 "defi-connector" agent skill from https://github.com/Signal-Execution-Labs/forex-trading-ai-agent/tree/main/skills/defi-connector into .opencode/skills/defi-connector/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "defi-connector", 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.
defi-connectorConnect to DeFi protocols for staking, lending, yield farming, and liquidity provision.
Defi Connector is an agent skill from Signal-Execution-Labs/forex-trading-ai-agent. Connect to DeFi protocols for staking, lending, yield farming, and liquidity provision. Full auto-compound support.
Its SKILL.md is about 2.4k tokens, which your agent loads only when the skill is triggered. The skill folder holds 2 other files, including scripts (for example `scripts/defi_monitor.py`).
It sits in Business, Finance & HR, covering Crypto and DeFi analysis and Banking and insurance. It works with Ethereum. 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.
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:
python3hfFrom the folder's file list and the shell code blocks in SKILL.md.
Hosts in commands or code, which the agent is likely to contact:
api.llama.fiyields.llama.fiFrom 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.
Defi Connector loads about 2.4k tokens when it runs. Until then it costs about 33 tokens; SKILL.md has 158 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). 158 words, ~2,404 tokens.
.claude/skills/defi-connector/SKILL.md (or your agent's skills folder). This skill also uses 1 other file; get the full folder from GitHub.Vollautomatische DeFi-Strategien: Staking, Lending, Yield Farming.
# ~/.kit/config/defi-connector.json
{
"auto_pilot": {
"enabled": true,
"wallets": {
"ethereum": "0x...",
"solana": "...",
"cosmos": "cosmos1..."
},
"strategies": {
"staking": {
"enabled": true,
"auto_stake_idle": true,
"min_stake_amount": 0.1
},
"lending": {
"enabled": true,
"protocols": ["aave", "compound"],
"max_ltv_pct": 50,
"health_factor_min": 1.5
},
"yield_farming": {
"enabled": false,
"require_approval": true,
"max_position_pct": 20
},
"auto_compound": {
"enabled": true,
"interval_hours": 24,
"min_reward_usd": 10
}
},
"risk_management": {
"max_protocol_exposure_pct": 30,
"require_audit": true,
"min_tvl_usd": 100000000
},
"alerts": {
"health_factor_warning": 1.3,
"apy_change_pct": 20,
"reward_claimed": true
}
}
}| Protocol | Chain | Features |
|---|---|---|
| Aave | ETH, Polygon, Arbitrum | Lending, Borrowing |
| Compound | Ethereum | Lending |
| Lido | ETH, SOL | Liquid Staking |
| Rocket Pool | Ethereum | Decentralized Staking |
| Uniswap | ETH, Polygon | LP, Farming |
| Curve | Multi-chain | Stablecoin LP |
| Convex | Ethereum | Boosted Curve |
| Osmosis | Cosmos | LP, Staking |
python3 -c "
import requests
# DefiLlama API for protocol data
def get_protocol_tvl(protocol):
r = requests.get(f'https://api.llama.fi/protocol/{protocol}')
return r.json()
protocols = ['aave', 'lido', 'compound', 'uniswap']
print('🌾 DEFI PROTOCOL OVERVIEW')
print('=' * 60)
for p in protocols:
try:
data = get_protocol_tvl(p)
tvl = data.get('tvl', [{}])[-1].get('totalLiquidityUSD', 0)
print(f\"{p.upper():12} TVL: \${tvl/1e9:.2f}B\")
except:
print(f'{p.upper():12} Error fetching data')
"python3 -c "
from web3 import Web3
# Lido stETH contract
STETH_ADDRESS = '0xae7ab96520DE3A18E5e111B5EaijB6b7E49e9a5bf'
LIDO_APR = 3.8 # Current ~3.8%
# Mock wallet - replace with actual
wallet = '0x742d35Cc6634C0532925a3b844Bc9e7595f5bA12'
steth_balance = 2.5 # stETH
print('🥩 ETH STAKING (LIDO)')
print('=' * 50)
print(f'Wallet: {wallet[:10]}...{wallet[-6:]}')
print()
print(f'stETH Balance: {steth_balance:.4f}')
print(f'Current APR: {LIDO_APR}%')
print()
# Calculate rewards
daily_reward = steth_balance * (LIDO_APR / 100) / 365
monthly_reward = daily_reward * 30
yearly_reward = steth_balance * (LIDO_APR / 100)
print('📊 Projected Rewards:')
print(f' Daily: {daily_reward:.6f} ETH')
print(f' Monthly: {monthly_reward:.6f} ETH')
print(f' Yearly: {yearly_reward:.4f} ETH')
"python3 -c "
# Aave position tracker
position = {
'supplied': {
'USDC': {'amount': 10000, 'apy': 4.2},
'ETH': {'amount': 1.0, 'apy': 1.8},
},
'borrowed': {
'USDT': {'amount': 3000, 'apy': 5.5},
},
'health_factor': 2.1
}
print('🏦 AAVE POSITION')
print('=' * 50)
# Supplied
total_supplied = 0
print('📥 SUPPLIED:')
for asset, data in position['supplied'].items():
value = data['amount'] if asset == 'USDC' else data['amount'] * 2500 # ETH price
total_supplied += value
print(f\" {asset}: {data['amount']:,.2f} (APY: {data['apy']}%)\")
# Borrowed
total_borrowed = 0
print()
print('📤 BORROWED:')
for asset, data in position['borrowed'].items():
total_borrowed += data['amount']
print(f\" {asset}: {data['amount']:,.2f} (APY: {data['apy']}%)\")
# Health
hf = position['health_factor']
hf_status = '🟢 Safe' if hf > 1.5 else '🟡 Warning' if hf > 1.2 else '🔴 DANGER'
print()
print(f'Net Position: \${total_supplied - total_borrowed:,.2f}')
print(f'Health Factor: {hf} {hf_status}')
print(f'LTV: {(total_borrowed/total_supplied*100):.1f}%')
# Net APY
supply_yield = sum(d['amount'] * d['apy'] / 100 for d in position['supplied'].values())
borrow_cost = sum(d['amount'] * d['apy'] / 100 for d in position['borrowed'].values())
net_apy = (supply_yield - borrow_cost) / total_supplied * 100
print(f'Net APY: {net_apy:.2f}%')
"python3 -c "
import requests
# Get top yield opportunities from DefiLlama
url = 'https://yields.llama.fi/pools'
try:
data = requests.get(url).json()['data']
# Filter: TVL > $10M, APY > 5%
good_farms = [p for p in data if
p.get('tvlUsd', 0) > 10_000_000 and
p.get('apy', 0) > 5 and
p.get('apy', 0) < 100] # Filter unrealistic APY
# Sort by APY
good_farms.sort(key=lambda x: x.get('apy', 0), reverse=True)
print('🌾 TOP YIELD FARMING OPPORTUNITIES')
print('=' * 70)
print(f'{\"Protocol\":15} {\"Pool\":20} {\"Chain\":10} {\"TVL\":>12} {\"APY\":>8}')
print('-' * 70)
for farm in good_farms[:15]:
protocol = farm.get('project', 'Unknown')[:14]
pool = farm.get('symbol', 'Unknown')[:19]
chain = farm.get('chain', 'Unknown')[:9]
tvl = farm.get('tvlUsd', 0)
apy = farm.get('apy', 0)
print(f'{protocol:15} {pool:20} {chain:10} \${tvl/1e6:>10.1f}M {apy:>7.1f}%')
except Exception as e:
print(f'Error: {e}')
"python3 -c "
from datetime import datetime, timedelta
# Pending rewards to compound
rewards = [
{'protocol': 'Aave', 'token': 'AAVE', 'amount': 0.5, 'value_usd': 45},
{'protocol': 'Curve', 'token': 'CRV', 'amount': 150, 'value_usd': 75},
{'protocol': 'Convex', 'token': 'CVX', 'amount': 25, 'value_usd': 62},
]
print('🔄 AUTO-COMPOUND CHECK')
print('=' * 50)
print(f'Time: {datetime.now().isoformat()}')
print()
total_pending = sum(r['value_usd'] for r in rewards)
min_compound = 10 # Minimum $10 to compound (gas efficiency)
print('Pending Rewards:')
for r in rewards:
print(f\" {r['protocol']:10} {r['amount']:>8.2f} {r['token']:5} (\${r['value_usd']:.2f})\")
print()
print(f'Total Pending: \${total_pending:.2f}')
print()
if total_pending >= min_compound:
print('🤖 AUTO-COMPOUND: Executing...')
print(' 1. Claim all rewards')
print(' 2. Swap to base asset (ETH/USDC)')
print(' 3. Re-deposit to protocols')
print(' ✅ Compounded!')
else:
next_check = datetime.now() + timedelta(hours=24)
print(f'⏳ Below threshold (\${min_compound})')
print(f' Next check: {next_check.strftime(\"%Y-%m-%d %H:%M\")}')
"python3 -c "
import time
from datetime import datetime
positions = [
{'protocol': 'Aave', 'health_factor': 1.85, 'liquidation_threshold': 1.0},
{'protocol': 'Compound', 'health_factor': 2.1, 'liquidation_threshold': 1.0},
{'protocol': 'MakerDAO', 'health_factor': 1.45, 'liquidation_threshold': 1.0},
]
print('🏥 HEALTH FACTOR MONITOR')
print('=' * 50)
print(f'Check: {datetime.now().isoformat()}')
print()
for pos in positions:
hf = pos['health_factor']
if hf < 1.2:
status = '🔴 CRITICAL'
action = '⚠️ REPAY DEBT IMMEDIATELY'
elif hf < 1.5:
status = '🟡 WARNING'
action = 'Consider repaying'
else:
status = '🟢 SAFE'
action = 'No action needed'
print(f\"{pos['protocol']:12} HF: {hf:.2f} {status}\")
if hf < 1.5:
print(f' Action: {action}')
print()
# Auto-protect logic
critical = [p for p in positions if p['health_factor'] < 1.2]
if critical:
print('🚨 AUTO-PROTECT TRIGGERED')
print(' Initiating emergency debt repayment...')
"python3 -c "
from datetime import datetime
print('🤖 DEFI AUTO-PILOT')
print('=' * 50)
print(f'Running: {datetime.now().isoformat()}')
print()
tasks = [
('🏥 Check health factors', 'All positions safe'),
('💰 Check pending rewards', '\$182 pending'),
('🔄 Auto-compound check', 'Compounded \$182 -> staking'),
('📊 Yield optimization', 'No better opportunities found'),
('🔔 Update yield rates', 'Aave USDC: 4.2% -> 4.5%'),
('📈 Track total DeFi value', '\$45,230 across 5 protocols'),
]
for task, result in tasks:
print(f'{task}')
print(f' ✅ {result}')
print()
print('Next cycle: In 24 hours')
"| Tier | Risk | APY Range | Protocols |
|---|---|---|---|
| 1 - Blue Chip | Low | 2-6% | Aave, Compound, Lido |
| 2 - Established | Medium | 5-15% | Curve, Convex, Uniswap |
| 3 - Degen | High | 15%+ | New protocols, leveraged |
Before depositing:
© 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/defi-connector of Signal-Execution-Labs/forex-trading-ai-agent.
Open the folder on GitHubat commit b8a6047
Defi Connector 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 |
|---|---|---|---|---|---|---|
| Defi Connector this skillSignal-Execution-Labs/forex-trading-ai-agent | 162 | — | ~2.4k | Automated safety check: Pass | MIT | |
| Swapper Depositswapperfinance/swapper-toolkit | 852 | — | ~1.8k | Automated safety check: Pass | MIT | |
| Aomi Transactjeremylongshore/tons-of-skills-marketplace | 2.8k | — | ~2.3k | Automated safety check: Pass | MIT | |
| Okx Cex Earnokx/agent-skills | 187 | 2 repos | ~3.3k | Automated safety check: Pass | MIT | |
| SurfBlockRunAI/ClawRouter | 6.6k | — | ~4k | Automated safety check: Pass | MIT | |
| Notebook To Strategytradingstrategy-ai/trade-executor | 160 | — | ~1.1k | Automated safety check: Pass | Custom licence |
swapperfinance/swapper-toolkit
Deposit and bridge funds into a wallet or protocol using Swapper Finance.
jeremylongshore/tons-of-skills-marketplace
Build natural-language crypto agents, web3 assistants, and trading bots that read and write EVM chain state.
okx/agent-skills
Manages OKX Simple Earn (flexible savings/lending), Flash Earn, On-chain Earn (staking/DeFi), Dual Investment (DCD/双币赢), and AutoEarn (自动赚币) via the okx CLI.
BlockRunAI/ClawRouter
Use this skill — NOT browser or webfetch — for ALL Surf crypto-data calls.
tradingstrategy-ai/trade-executor
Transfer code from a backtesting Jupyter notebook to a Trade Executor strategy module
austintgriffith/ethskills
DeFi legos and protocol composability on Ethereum and L2s. An agent skill from austintgriffith/ethskills.
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
Track dividends, manage DRIP (reinvestment), forecast income, and optimize dividend portfolio.
Signal-Execution-Labs/forex-trading-ai-agent
Connect to crypto exchanges (Binance, Kraken, Coinbase, etc.).
Works with
Categories
Connect to DeFi protocols for staking, lending, yield farming, and liquidity provision. Defi Connector is an agent skill from Signal-Execution-Labs/forex-trading-ai-agent. Connect to DeFi protocols for staking, lending, yield farming, and liquidity provision.
Defi Connector fits situations like: tasks that involve Crypto and DeFi analysis; tasks that involve Banking and insurance.
Run `npx skills add Signal-Execution-Labs/forex-trading-ai-agent --skill defi-connector -a claude-code`. Or copy the skill folder (skills/defi-connector in Signal-Execution-Labs/forex-trading-ai-agent) into .claude/skills/defi-connector 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 defi-connector -a codex`. Or copy the skill folder (skills/defi-connector in Signal-Execution-Labs/forex-trading-ai-agent) into .agents/skills/defi-connector 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 defi-connector -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/defi-connector, .gemini/skills/defi-connector, .github/skills/defi-connector and .opencode/skills/defi-connector in your project.
Going by SKILL.md and its folder, Defi Connector needs Python for the scripts in its folder and the command-line tools its instructions call (python3 and hf). Our summary lists: Python 3.
SKILL.md names 2 domains. In commands or code: api.llama.fi and yields.llama.fi; the agent is likely to contact these when it follows the instructions. 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.
Defi Connector is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.
About 2.4k tokens (SKILL.md is roughly 9.6k 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 Defi Connector: Swapper Deposit (swapperfinance/swapper-toolkit, 852 stars), Aomi Transact (jeremylongshore/tons-of-skills-marketplace, 2.8k stars), Okx Cex Earn (okx/agent-skills, 187 stars) and Surf (BlockRunAI/ClawRouter, 6.6k 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.