On-chain execution and trading for dedicated agent wallets (structured intent, previews, confirmations).
This hub is the documentation landing page for Skillware defi agent skills. Runtime bundles stay at skills/defi/<skill_name>/ with stable registry IDs defi/<skill_name> — do not rename those folders for search indexing.
Skill Library · Glossary · Sitemap · Agent loops
| Skill | ID | Version | Issuer | Description |
|---|---|---|---|---|
| EVM Transaction Handler | defi/evm_tx_handler |
0.3.0 |
@Hendobox (@ARPAHLS) | Uni V2 quote, preview, execute, and name-based transfer on Ethereum/Base via central address book. |
| Token Security Scanner | defi/token_security_scanner |
0.1.0 |
@Hendobox (@ARPAHLS) | Read-only GoPlus token honeypot/tax/ownership report before agent trades. |
- Quote, preview, then execute a Uni V2 swap or transfer from structured intent:
defi/evm_tx_handler. - Pre-trade token vet:
defi/token_security_scanner→defi/evm_tx_handlerpreview/execute (optional future:security/drainer_pattern_guardfirst). - Screen wallet then trade:
finance/wallet_screening→defi/evm_tx_handler(preview / confirm before broadcast).
from skillware.core.loader import SkillLoader
bundle = SkillLoader.load_skill("defi/evm_tx_handler")
skill = bundle["class"]()See the Skill library for every category, and install extras for per-skill pip extras.