private computation

Zero-Knowledge Execution for Sensitive Agent Tasks - Privacy computing framework for AI Agents

This registry entry is an instruction-only README that promises advanced privacy features but contains no code or install metadata. Before using it or running the suggested npm install: 1) Verify the package exists on npm (or the GitHub repo) and inspect its source code — do not blindly npm install. 2) Confirm where audit logs are stored or transmitted, and how the masterKey is generated and protected. 3) Avoid storing real production secrets (medical, banking, or live LLM keys) until you can audit the implementation. 4) If you need these features for compliance, prefer well-audited libraries or vendor-provided solutions and consider an independent security review. If you want, I can: (a) check npm or GitHub for the referenced package and report what I find, or (b) list specific questions to ask the package author to verify safety.

Type: OpenClaw Skill Name: private-computation Version: 1.0.0 The skill bundle provides documentation and usage instructions for a privacy-focused computation framework ('openclaw-private-computation') designed for AI agents. The SKILL.md file outlines features for encrypted secret management (AES-256-GCM), secure task execution, and audit logging, which are consistent with its stated purpose of enhancing security and compliance (GDPR/HIPAA). No evidence of malicious intent, data exfiltration, or harmful prompt injection was found in the provided files (_meta.json, SKILL.md).