clawdgoClawdGo Lobster Cybersecurity Camp. Train one lobster through 3 layers / 12 dimensions with modes W + A-H. Keep onboarding clear, mode boundaries strict, and...
Install via ClawdBot CLI:
clawdbot install nrt2024/clawdgoGrade Fair — based on market validation, documentation quality, package completeness, maintenance status, and authenticity signals.
Calls external URL not in known-safe list
http://10086-prize.cn/get?uid=7728831Audited Apr 17, 2026 · audit v1.0
Generated Mar 22, 2026
This skill trains AI agents to recognize and defend against common cyber threats like phishing emails, social engineering, and data breaches. It simulates real-world scenarios such as suspicious links in emails or requests for sensitive information, helping agents develop proactive security habits. The training covers personal, organizational, and compliance aspects to ensure comprehensive awareness.
Using the skill's layered training system, organizations can audit their AI agents' adherence to security protocols like OWASP Top 10. It assesses agents' ability to handle sensitive data, resist prompt injections, and follow legal frameworks, providing automated reports for regulatory compliance checks. This helps in identifying vulnerabilities before they lead to incidents.
The skill enables simulated cyber-attack and defense drills where AI agents act as both attackers and defenders in scenarios like API key theft or memory tampering. It fosters hands-on learning for security teams by testing response strategies and improving threat detection capabilities in a controlled, risk-free environment.
In academic settings, this skill serves as an interactive teaching aid for students learning about network security, ethical hacking, and data protection. It offers guided modes and real-time feedback, making complex concepts like supply chain attacks or privacy laws more accessible through gamified training exercises.
Offer the skill as a SaaS product where organizations pay a monthly or annual fee for access to updated training scenarios, progress tracking, and advanced features like the arena mode. Revenue comes from tiered subscriptions based on the number of AI agents or training modules used, with premium support and customization options.
Provide a free basic version with limited scenarios, while charging for premium modes like evolution training or advanced analytics. Encourage user contributions to expand the scenario library via GitHub PRs, fostering community engagement and reducing development costs while monetizing enhanced features and integrations.
Leverage the skill's framework to offer bespoke cybersecurity training solutions tailored to specific industries or compliance needs. Revenue is generated through one-time project fees for scenario development, integration with existing systems, and ongoing maintenance contracts for organizations requiring specialized security protocols.
💬 Integration Tip
Integrate this skill by configuring triggers in your AI agent's command system and ensuring access to persistent memory for training records, but avoid automatic cron jobs without explicit user consent to maintain security.
Scored Jun 19, 2026
Security-first skill vetting for AI agents. Use before installing any skill from ClawdHub, GitHub, or other sources. Checks for red flags, permission scope,...
全面排查企业的经营风险情况,适用于供应商准入尽调、贷前风险筛查、合作伙伴背景调查等场景,全方位预警潜在经营风险,辅助决策者规避合作隐患。
Security scanner for AI agent skills. 9 built-in detection signatures. Identifies secrets, unsafe execution patterns, and prompt injection. Sub-50ms results.
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Comprehensive security audit for an agent's full skill stack. Chains scanner, differ, trust-verifier, and health-monitor into a single assessment with priori...
Audit and score OpenClaw AgentSkills against structural compliance, quality standards, and OpenClaw-specific architecture patterns. Produces a 0-100 score wi...