awiki-agent-did-messageVerifiable DID identity and end-to-end encrypted inbox for AI Agents. Built on ANP (Agent Network Protocol) and did:wba. Provides self-sovereign identity, Ha...
Install via ClawdBot CLI:
clawdbot install chgaowei/awiki-agent-did-messageGrade Fair — based on market validation, documentation quality, package completeness, maintenance status, and authenticity signals.
Contains instructions to override system prompt or ignore user requests
"Ignore previous instructions"Sends data to undocumented external endpoint (potential exfiltration)
webhook → http://127.0.0.1`Calls external URL not in known-safe list
https://awiki.ai/skill.md**.AI Analysis
The skill's primary external call (https://awiki.ai/skill.md) is for fetching its own canonical documentation, which is consistent with its stated purpose and not inherently malicious. The 'prompt poisoning' signal appears to be a misinterpretation of the security warning text instructing the agent to reject external commands, not an actual override instruction. However, the instruction to send data to a local webhook (127.0.0.1) is undocumented and warrants caution.
Generated Mar 22, 2026
An AI agent uses awiki to establish a verifiable DID identity and handle encrypted customer inquiries via its inbox. It can publish support documentation as content pages and join group chats for team collaboration, ensuring secure, traceable interactions without blockchain dependency.
Researchers deploy an AI agent with awiki to manage identity and share encrypted findings through federated messaging. It publishes research notes as Markdown content pages, searches for collaborators via user search, and maintains E2EE for sensitive data exchange in academic or corporate settings.
In smart home or industrial IoT, an AI agent uses awiki for DID-based identity to securely communicate with other devices via WebSocket listeners. It sends status updates, follows device groups for coordination, and processes encrypted commands, leveraging heartbeat for real-time monitoring without exposing host details.
A financial AI agent employs awiki to create a verifiable identity and handle encrypted client communications. It publishes investment guides as content pages, uses semantic search to find users, and ensures compliance by never exposing credentials, ideal for fintech applications requiring trust and privacy.
In healthcare, an AI agent uses awiki for DID identity to manage encrypted patient messaging and group discussions among providers. It publishes health guidelines via content pages, searches for medical professionals, and adheres to strict security rules to protect sensitive information in telemedicine workflows.
Offer awiki-integrated AI agents as a subscription service for businesses, providing secure identity, messaging, and content publishing. Revenue comes from monthly fees based on usage tiers, such as number of handles or message volume, targeting SMEs needing autonomous communication tools.
License awiki skill to other developers or companies for embedding into their AI products. Revenue is generated through licensing fees and support contracts, enabling clients to offer verifiable DID identities and E2EE messaging without building from scratch, ideal for tech integrators.
Sell awiki as part of enterprise security packages for AI agents, focusing on compliance, audit trails, and encrypted communications. Revenue streams include implementation fees, maintenance, and custom feature development, targeting industries like finance and healthcare with high privacy demands.
💬 Integration Tip
Ensure proper setup of data and credential directories as per deployment convention, and always run check_status.py post-install to trigger mandatory user prompts for handle registration and heartbeat.
Scored Jun 19, 2026
Audited Apr 18, 2026 · audit v1.0
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