huamu668-openclaw-securityOpenClaw security guide for root-enabled AI agents, covering pre-install audits, runtime permission tightening, hash baselines, risk controls, nightly auto-i...
Install via ClawdBot CLI:
clawdbot install huamu668/huamu668-openclaw-securityGrade Fair — based on market validation, documentation quality, package completeness, maintenance status, and authenticity signals.
Potentially destructive shell commands in tool definitions
rm -rf /Accesses system directories or attempts privilege escalation
/etc/cronCalls external URL not in known-safe list
https://github.com/slowmist/openclaw-security-practice-guideAI Analysis
This is a security guidance document, not an executable skill. It provides security best practices for OpenClaw administrators, including blacklisting dangerous commands and establishing security protocols. The external URL points to a legitimate security guide repository, not an operational endpoint. No credential harvesting, data exfiltration, or hidden malicious instructions are present.
Generated Mar 22, 2026
Organizations deploying AI agents with root access on production servers use this skill to implement a comprehensive security framework. It establishes behavioral blacklists, permission narrowing, and automated nightly audits to prevent unauthorized commands and configuration changes while maintaining operational capability.
Web3 development teams leverage the skill's pre-flight checks and business risk controls before executing irreversible operations like contract deployments or token transfers. It enforces security intelligence scanning and risk scoring to prevent fraudulent transactions, adhering to signature isolation principles.
Teams installing new AI agent skills, MCP servers, or scripts from public repositories use the mandatory security audit protocol. This involves full-text regex scanning of all files to detect hidden installation instructions or prompt injection attempts, preventing supply chain poisoning before execution.
Financial or healthcare institutions using AI agents for sensitive operations implement the skill's logging, DLP scanning, and Git backup systems. It ensures all high-risk commands are recorded, sensitive data leaks are detected, and configuration integrity is maintained for compliance reporting and disaster recovery.
MSSPs managing multiple client AI agent deployments standardize security using this skill's framework. The automated nightly audit with 13 core metrics provides consistent, explicit reporting across all clients, covering process monitoring, file integrity, and credential scanning for centralized threat detection.
Consultants offer specialized services to implement and customize this security framework for enterprise AI agent deployments. Revenue comes from assessment fees, implementation projects, and ongoing retainer contracts for audit review and framework updates as new threats emerge.
Providers offer fully managed security monitoring for AI agent infrastructures using this skill's automated systems. They handle nightly audit analysis, alert triage, and incident response, with tiered pricing based on the number of agents monitored and required response times.
Platforms curate and certify AI agent skills that comply with this security framework's audit protocols. Revenue is generated through marketplace commissions on skill sales, premium certification fees for developers, and enterprise licensing for verified skill suites.
💬 Integration Tip
Start by implementing the behavioral blacklists and audit protocols before enabling automated backups, as the framework requires careful configuration of file permissions and cron jobs to avoid service disruption.
Scored Jun 19, 2026
Audited Apr 18, 2026 · audit v1.0
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Proactive security monitoring, threat scanning, and auto-remediation for OpenClaw deployments