Generate a ProofBundle with zkTLS and TDX attestations for worker-fetched data.
npx skills add https://github.com/Skottbie/VeriTask --skill proof-generator
Please help me install this Agent Skill. Skill: proof-generator Source: https://github.com/Skottbie/VeriTask/tree/main/worker_node/skills/proof-generator Command: npx skills add https://github.com/Skottbie/VeriTask --skill proof-generator
This Skill addresses the critical need for verifiable data provenance and execution integrity in automated workflows, ensuring trust and security in data transactions between AI agents.
ProofBundle for the client to verify and act upon.Use the proof-generator skill to generate a ProofBundle for the 'aave' protocol.
High-intent search queries and answers about installing and using this skill.
You generate verifiable data proofs by wrapping fetched data in a ProofBundle that combines Reclaim Protocol zkTLS for data provenance and Intel TDX TEE for execution integrity. This dual-layer approach ensures trust in cross-agent data procurement pipelines.
zkTLS and TEE attestation verify data origin and execution environment integrity. zkTLS proves where data came from cryptographically, while Intel TDX TEE attests that the worker agent processed the fetched data securely without tampering.
You verify data in Claw-to-Claw pipelines by having the worker agent generate a ProofBundle containing verifiable credentials. The client agent then validates this bundle to confirm both the origin and secure processing of the outsourced data.
Yes, generating a ProofBundle requires both the Reclaim Protocol zk-fetch and dstack-sdk dependencies. Reclaim handles data provenance proofs, while dstack provides the Intel TDX TEE attestation for execution environment integrity.
Yes, this skill is designed for automated data scraping verification. When an AI client outsources scraping tasks, the worker agent fetches data, wraps it in cryptographic proofs, and returns a verifiable bundle for the client.
zkTLS focuses on data provenance by proving the origin of fetched data, while Intel TDX TEE focuses on execution integrity by proving the processing environment was secure. Combining both creates a dual-layer verification system for complete trust.
matt-fell-aiGenerate ZK-STARK proofs and strip PII from shared agent insights.
jonnymuirExpose a development-only diagnostic endpoint for session integrity and downstream authorization readiness.
SkottbieOrchestrate verifiable micro-procurement flows between AI agents with on-chain verification.
SkottbieValidate ProofBundles by checking ZK proofs and TEE attestations.