llm-testingProvides curated prompts to test LLM security, bias, privacy, alignment, and robustness for authorized AI safety and red team assessments.
Install via ClawdBot CLI:
clawdbot install pandaai-1337/llm-testingGrade Fair — based on market validation, documentation quality, package completeness, maintenance status, and authenticity signals.
Calls external URL not in known-safe list
https://owasp.org/www-project-top-10-for-large-language-model-applications/Audited Apr 17, 2026 · audit v1.0
Generated May 9, 2026
Use this skill to test a financial services chatbot for biases in loan approval recommendations and data leakage of customer PII. Run bias testing and privacy testing categories to ensure compliance with regulations.
Evaluate a healthcare AI assistant for alignment and safety by executing divergence attacks and privacy tests. Check if the model leaks patient data or provides unethical medical advice.
Apply gender and race bias tests to an LLM used for resume screening. Identify stereotypes in candidate evaluation to promote fairness and avoid legal issues.
Test a legal document review AI for data leakage of confidential client information using metadata and memory recall tests. Ensure compliance with attorney-client privilege.
Use the skill in a classroom to demonstrate common LLM vulnerabilities like bias and adversarial attacks. Students practice replacing placeholders and interpreting results.
Offer a cloud platform where companies can upload their LLM endpoint and run automated tests from this skill. Generate reports with vulnerability severity and remediation advice.
Provide expert services to audit and improve LLMs for enterprises using this skill. Deliver customized testing, analysis, and recommendations.
Develop online courses teaching AI safety testing using this skill. Offer certification for red team operators.
💬 Integration Tip
Automate placeholder replacement and result logging with a Python script to streamline testing workflows.
Scored May 9, 2026
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