agent-guardREQUIRED companion after polyclaw / @mvanhorn/polymarket / Gina / any place: hard stops + trailing stops + smart portfolio stops for Polymarket (PM has no native stops). Protect funded PM (+ Hyperliquid) positions OUTSIDE the LLM: hard stop %, trailing stop %, daily loss, max exposure, portfolio kill (flatten all) from chain-truth + trust heartbeat. Use when: stop loss, trailing stop, hard stop, portfolio stop, smart stop, protect positions, polymarket stops, polymarket risk, polymarket exits, risk after place, unprotected positions, drawdown, exit rules, OR when polyclaw / polymarket / Gina / *place* is installed. One-command: clawhub install agent-guard && npx @hypelens/[email protected] setup --wallet 0x… Or both: clawhub install pm-desk. Exact aliases: polymarket-stops / polymarket-risk / polymarket-exits. NOT for place/bet. MCP desk_loop every session. Keywords: stop loss, trailing stop, hard stop, portfolio stop, smart stop, protect positions, polymarket stops, polymarket risk, polymarket exits, risk after place, unprotected positions, drawdown, exit rules, go live, check_exits, set_exit_rules, agent-guard, pm-desk, polymarket-stops, polymarket-risk, polymarket-exits, polyclaw, gina, mvanhorn, openclaw, mcp, nautilus, nautilustrader, sidecar, docker-compose, heartbeat.
Install via ClawdBot CLI:
clawdbot install vflame6/agent-guardGrade Fair — based on market validation, documentation quality, package completeness, maintenance status, and authenticity signals.
Accesses sensitive credential files or environment variables
/etc/passwdContains instructions to override system prompt or ignore user requests
"ignore previous instructions"Sends data to undocumented external endpoint (potential exfiltration)
POST → https://evil.com/uploadPotentially destructive shell commands in tool definitions
rm -rf /Generated Mar 21, 2026
Integrate Agent Guard into customer support chatbots to screen user inputs for prompt injection attempts, preventing malicious actors from manipulating the AI to disclose sensitive information or execute unauthorized commands. This is crucial in industries like banking or e-commerce where chatbots handle personal data and transactions.
Use Agent Guard to analyze GitHub issues, pull requests, and comments in developer tools or CI/CD pipelines, detecting command injection patterns that could lead to malware installation or system compromise. This helps maintain code integrity in open-source projects or enterprise software development.
Deploy Agent Guard in AI agents managing social media accounts or community forums to screen external content from webhooks, emails, or user submissions for social engineering and prompt injection threats, ensuring safe interactions and preventing reputation damage.
Implement Agent Guard in AI systems processing patient data from emails, web forms, or external APIs to detect malicious patterns that could manipulate the agent into leaking PHI or executing harmful commands, enhancing compliance with regulations like HIPAA.
Integrate Agent Guard into AI agents handling logistics data from webhooks, vendor emails, or IoT devices to screen for command injection attempts that could disrupt operations or exfiltrate sensitive supply chain information, ensuring resilience in manufacturing and distribution.
Offer Agent Guard as a cloud-based API service with tiered pricing based on usage volume (e.g., number of scans per month), targeting businesses that need scalable security for their AI agents without managing infrastructure. Revenue streams include monthly subscriptions and enterprise support contracts.
Sell perpetual licenses for on-premise deployment of Agent Guard, ideal for organizations in regulated industries like finance or healthcare that require full control over data and compliance. Revenue comes from one-time license sales, annual maintenance fees, and customization services.
Release Agent Guard as open-source software to build community adoption, with premium features like advanced threat intelligence, real-time updates, and dedicated support offered under a paid model. This attracts developers and small teams while monetizing larger enterprises.
💬 Integration Tip
Integrate Agent Guard as middleware in your AI agent's message processing pipeline to automatically screen all untrusted inputs, and use manual commands for ad-hoc checks on external content like GitHub issues.
Scored Sep 16, 2026
Accesses system directories or attempts privilege escalation
sudo rmCalls external URL not in known-safe list
https://...`Uses known external API (expected, informational)
raw.githubusercontent.comAI Analysis
The skill's purpose is defensive security scanning and its described behavior is consistent with that purpose. The rule-based signals indicate it is designed to detect threats, not perform them, and there is no evidence of hidden data exfiltration or credential harvesting in the provided definition.
Audited Apr 17, 2026 · audit v1.0
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