aoi-prompt-injection-sentinelDetects and scores prompt injection attempts in text, outputting severity, action, and matched rules without external calls or secret handling.
Install via ClawdBot CLI:
clawdbot install edmonddantesj/aoi-prompt-injection-sentinelGrade Fair — based on market validation, documentation quality, package completeness, maintenance status, and authenticity signals.
Calls external URL not in known-safe list
https://github.com/edmonddantesj/aoi-skills/issuesAudited Apr 17, 2026 · audit v1.0
Generated Mar 21, 2026
Integrate this skill into customer service chatbots to detect and block prompt injection attempts from malicious users trying to manipulate the AI into revealing sensitive information or performing unauthorized actions. This helps maintain service integrity and prevents data leaks in real-time customer interactions.
Use this detector in AI-powered writing tools to identify when users attempt to inject malicious prompts that could generate harmful, biased, or inappropriate content. This ensures the tool remains safe for educational and professional environments while maintaining user trust.
Deploy the skill as a middleware in API gateways handling AI model requests to screen incoming prompts for injection patterns before they reach core AI services. This adds a lightweight security checkpoint that prevents exploitation of downstream AI systems without performance overhead.
Implement this in development environments where engineers test AI integrations, providing immediate feedback on potential prompt injection vulnerabilities during the prototyping phase. This helps catch security issues early in the development lifecycle.
Incorporate the skill into online learning platforms that use AI tutors to detect when students attempt to inject prompts that could bypass educational controls or generate inappropriate responses. This maintains a safe, focused learning environment.
Offer the skill as a free basic detector with limited features, then charge for premium tiers that include advanced rule sets, higher throughput, or integration support. This attracts developers with an easy entry point while monetizing enterprise needs.
Host the skill as a cloud API service where customers pay per API call or monthly for usage quotas. This provides scalable, managed detection without requiring users to deploy or maintain the skill themselves, ideal for businesses with variable demand.
License the skill for on-premise or private cloud deployment in large organizations, offering custom rule tuning, SLA guarantees, and dedicated support. This caters to regulated industries like finance or healthcare that require full control over security tools.
💬 Integration Tip
Start by piping user inputs through the skill's CLI in a pre-processing step before they reach your AI model, using the JSON output to trigger appropriate actions like logging or blocking based on severity scores.
Scored Apr 19, 2026
This skill should be used when the user asks to "optimize prompts", "design prompt templates", "evaluate LLM outputs", "build agentic systems", "implement RA...
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