agentcopCatches prompt injection hidden in untrusted external content, tool results, and agent-to-agent communication — plus credential exfiltration, token smuggling...
Install via ClawdBot CLI:
clawdbot install shaymizuno/agentcopGrade Limited — 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"Potentially destructive shell commands in tool definitions
eval(Calls external URL not in known-safe list
https://agentcop.liveAudited Apr 17, 2026 · audit v1.0
Generated May 9, 2026
A customer support bot powered by an AI agent uses external knowledge bases (e.g., Moltbook docs) to answer queries. AgentCop scans all retrieved content for hidden prompt injections that could trick the bot into ignoring instructions or leaking data. This prevents attackers from manipulating the bot via malicious documents.
An AI agent automates DevOps tasks like code deployment and server management. AgentCop monitors tool results for credential exfiltration (e.g., API keys appearing in logs). If detected, the agent can block the action and alert the team, preventing data leaks through agent outputs.
A financial analyst uses an AI agent to scrape and summarize web content for market research. AgentCop scans retrieved pages for indirect injection attacks that insert malicious instructions. This ensures the agent's analysis remains unbiased and secure, especially when handling sensitive financial data.
A healthcare AI agent generates patient summaries and treatment recommendations. AgentCop checks agent outputs for insecure patterns like code execution or path traversal that could violate compliance. This helps maintain HIPAA/GDPR standards by preventing unsafe outputs from being shared.
After a security incident, security teams use AgentCop's scan and diff commands to compare past and current session snapshots. This identifies regressions, tracks resolved threats, and provides actionable evidence for post-incident reviews, improving overall agent security posture.
Offer basic threat monitoring for free (e.g., taint-check and status), while charging for advanced features like automated badge generation, detailed forensic reports (diff), and API-based integrations. Badges serve as trust signals for agent marketplaces.
Package AgentCop as part of a broader AI security compliance tool for enterprises, including custom rule sets, audit trails, and integration with SIEM systems. Revenue from annual licenses based on agent count, with add-ons for dedicated support and SLA guarantees.
Operate a cloud-based service where AgentCop monitors agents in real-time and alerts via webhooks/Slack. Customers pay per monitored agent per month. Includes a dashboard for viewing violations and historical trends, with optional on-prem deployment for high-security clients.
💬 Integration Tip
After installing, enable the agentcop-monitor hook for automatic real-time scanning on every message. For manual checks, use /security commands like 'taint-check' on user input or 'output-check' on agent responses.
Scored Jul 7, 2026
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