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 Signal-Execution-Labs/forex-trading-ai-agent --skill defi-connectorgit clone --depth 1 https://github.com/Signal-Execution-Labs/forex-trading-ai-agentWrote 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/signal-execution-labs/forex-trading-ai-agent/defi-connector)<a href="https://agentmods.dev/skills/signal-execution-labs/forex-trading-ai-agent/defi-connector"><img src="https://agentmods.dev/badge/skills/signal-execution-labs/forex-trading-ai-agent/defi-connector/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/signal-execution-labs/forex-trading-ai-agent/defi-connector"><img src="https://agentmods.dev/badge/skills/signal-execution-labs/forex-trading-ai-agent/defi-connector.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector warn
SkillSpector: 1 finding, up to medium
These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →
- medium Data Exfiltration · line 97 Data is being sent to an external URL. This could be legitimate telemetry or data exfiltration. Manual review is recommended.Fix: Verify the destination URL is trusted and necessary. Remove or replace with documented APIs. Ensure no secrets, tokens, or PII are transmitted.
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 | $0.00028 | $0.03037 |
| Opus 5 | $0.00014 | $0.01519 |
| Sonnet 5 | $0.00006 | $0.00607 |
| Haiku 4.5 | $0.00003 | $0.00304 |
Grade A, and why
defi-connector scanned grade A with 1 finding 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 13d 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.
Makes network callslowCapability
Not a fault in itself. Listed so you know the mod talks to something, and to what.
r = requests.get(f'https://api.llama.fi/protocol/{protocol}') Copies of this mod
1 near-identical copy found in the catalogue:
- defi-connector — 100% identical, 0 lines differ
How it starts
The opening of the file, as written. The whole thing — 380 lines — stays where its author put it; the contents beside it link to each section on GitHub.
DeFi Connector
Vollautomatische DeFi-Strategien: Staking, Lending, Yield Farming.
Overview
- Staking - ETH, SOL, ATOM und mehr
- Lending - Aave, Compound, MakerDAO
- Yield Farming - Liquidity Mining
- Auto-Compound - Rewards automatisch reinvestieren
🤖 AUTO-PILOT MODE
# ~/.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
}
}
}
Supported Protocols
| 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 |
Commands
Check DeFi Positions
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')
"
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.
- 13d ago First seen · 380 lines · 28 tokens per session scan A 84b31522f021
defi-connector is a skill published in the GitHub repository Signal-Execution-Labs/forex-trading-ai-agent (136 stars, last pushed 9d ago), licensed MIT. It adds 28 tokens to every session and 3,037 once invoked, about $0.0001 per session on Opus 5. A static security scan graded it A with 1 finding (makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
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