بنقرة واحدة
adversarial
Adversarial intelligence — behavioral detection, whale tracking, sentiment analysis
التثبيت باستخدام Codex أو Claude انسخ هذا Prompt والصقه في Codex أو Claude أو مساعد آخر ليراجع صفحة Skill ويثبّتها لك.
القائمة
Adversarial intelligence — behavioral detection, whale tracking, sentiment analysis
التثبيت باستخدام Codex أو Claude انسخ هذا Prompt والصقه في Codex أو Claude أو مساعد آخر ليراجع صفحة Skill ويثبّتها لك.
استنادا إلى تصنيف SOC المهني
S+ Grade Universal Trading Skill Pack for AI Agents. Trinity Architecture: Inference → Signal → Execution → Self-Upgrade. S+ Additions: Vectorized Backtest Engine, Web3 DEX Executor, LLM Agent Tool Adapter, CI/CD, 57 tests, >90% core coverage.
Web3 DEX execution layer — MEV protection, gas optimization, on-chain swaps
Technical signal generators — OBI, Funding Arbitrage, Kelly Criterion
| name | adversarial |
| version | 2.0.0 |
| description | Adversarial intelligence — behavioral detection, whale tracking, sentiment analysis |
| author | VelonLabs |
| skills | [{"name":"fomo_detector","class":"FOMODetector","module":"skills.adversarial.sentiment","description":"Fear-Of-Missing-Out and panic regime detection","triggers":["fomo","panic","greed","sentiment","behavioral"]},{"name":"whale_tracker","class":"WhaleTracker","module":"skills.adversarial.whale","description":"On-chain whale transaction classification","triggers":["whale","onchain","accumulation","distribution"]}] |
| dependencies | [] |
Detects FOMO and panic regimes from price/volume dynamics.
from skills.adversarial.sentiment import FOMODetector
fomo = FOMODetector()
result = fomo.detect(
symbol="BTC/USDT",
prices=[50000, 52000, 55000, 58000],
volumes=[100, 500, 2000, 8000],
)
Classifies whale transactions as accumulation, distribution, or neutral.
from skills.adversarial.whale import WhaleTracker
whale = WhaleTracker(etherscan_api_key="your_key")
cls = whale.classify_whale_transaction(
from_addr="0x...",
to_addr="0x...",
value_eth=1500.0,
)