@buildersgarden/siwa
Enables teams to build verifiable, blockchain-backed AI agent identity and authentication without centralized intermediaries, reducing trust and compliance o…
A Claude Code skill for registering AI agents on the [ERC-8004 (Trustless Agents)](https://github.com/builders-garden/ERC-8004) standard and authenticating them via SIWA, a challenge-response protocol inspired by [EIP-4361 (SIWE)](https://eips.ethereum.or
- Generate ERC-8004 agent registration payloads for blockchain-deployed AI services
- Authenticate AI agents using SIWA challenge-response protocol automatically
- Integrate trustless agent verification into existing Claude-based applications
Enables teams to build verifiable, blockchain-backed AI agent identity and authentication without centralized intermediaries, reducing trust and compliance overhead in multi-agent systems.
Engineering teams building decentralized AI agents requiring cryptographic identity verification and ERC-8004 standard compliance.
https://www.npmjs.com/package/@buildersgarden/siwa
By buildersgarden
How to Get It
npx @buildersgarden/siwa
Tip: Paste this into a Claude Code conversation. Verify command matches your Claude Code version.
Auto-generated from the tool's public listing — not hands-on verified. Cross-check against the source repo's README before running.
After installing, paste this into Claude:
Help me generate ERC-8004 agent registration payloads for blockchain-deployed AI services
Trust Signals Auto-scanned
Community Pulse New
No community discussions found yet. This doesn't mean the tool isn't good — it may be new or serve a niche use case.
Reviewer notes
Auto-scanned review. These are observations, not a security certification.
Scored from trust signals (evidence-eval-v1): 43 GitHub stars; contributors unknown; last commit 102d ago; license MIT.
Things to check
- Scanned, not hands-on tested — this entry was auto-scanned from public metadata (GitHub metrics, license, security flags). No reviewer has run it, and no tool-specific limitations have been documented yet.
How to evaluate tools before deploying →
Data shown here comes from public APIs and automated scanning. Reviewer notes reflect one person's experience. This is not a security certification or legal recommendation. Always evaluate tools according to your own organization's policies.
Evaluation
Scored from trust signals (evidence-eval-v1): 43 GitHub stars; contributors unknown; last commit 102d ago; license MIT.