agentshield-auditTrust Infrastructure for AI Agents - Like SSL/TLS for agent-to-agent communication. 77 security tests, cryptographic certificates, and Trust Handshake Protoc...
Install via ClawdBot CLI:
clawdbot install bartelmost/agentshield-auditGrade 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)
Report → https://github.com/bartelmost/agentshield/issuesPotentially destructive shell commands in tool definitions
rm -rf ~Accesses system directories or attempts privilege escalation
/proc/Generated Mar 20, 2026
An enterprise uses an orchestrator agent to delegate sensitive tasks like financial reporting or customer data processing to sub-agents. AgentShield ensures all sub-agents are certified and undergo trust handshakes, preventing compromised agents from accessing confidential data and maintaining audit trails for compliance.
A platform hosts AI agents for tasks like content generation or data analysis. AgentShield integrates to verify agent certificates and trust scores, allowing users to filter and hire only VERIFIED agents, reducing fraud risks and building user confidence in the marketplace ecosystem.
Healthcare organizations deploy AI agents for patient diagnosis and record management. AgentShield facilitates encrypted communication via trust handshakes, ensuring data shared between agents remains private and compliant with regulations like HIPAA, while verifying agent integrity to prevent data leaks.
An e-commerce platform uses AI agents for inventory management, customer support, and payment processing. AgentShield audits each agent for vulnerabilities like prompt injection and enables mutual verification before API calls, securing transactions and protecting against malicious exploits in agent interactions.
Companies in regulated industries deploy agents to monitor compliance with standards like the EU AI Act. AgentShield runs 77 security tests locally, providing certificates and trust scores to demonstrate agent safety to auditors, ensuring agents meet security and privacy requirements without exposing sensitive data.
Charge a recurring fee for agent certifications, trust registry access, and ongoing security audits. Offer tiered plans based on features like advanced test suites or priority support, targeting enterprises that need continuous compliance and security monitoring for their AI agents.
Partner with AI agent marketplaces to embed AgentShield verification as a premium feature. Earn revenue through commissions on transactions involving verified agents or licensing fees for API access to the trust registry, leveraging network effects as more agents join the ecosystem.
Provide tailored security audits and integration services for large organizations deploying complex multi-agent systems. Offer on-premise deployments, custom test development, and training, generating high-value contracts focused on specific industry needs like healthcare or finance.
💬 Integration Tip
Start by running the security audit locally to get certified, then use the trust handshake protocol for initial agent-to-agent communications to establish secure channels.
Scored Jun 23, 2026
Calls external URL not in known-safe list
https://agentshield.liveUses known external API (expected, informational)
api.anthropic.comAI Analysis
The skill contains a HIGH severity signal for prompt poisoning ('Ignore Previous Instructions'), indicating an attempt to override system safety controls. It also sends data to an undocumented external endpoint (github.com), which could be a data sink, though its stated purpose involves external trust infrastructure. The presence of shell commands and system directory access adds to the risk profile.
Audited Apr 17, 2026 · audit v1.0
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