From sentinel-ai
Scans user inputs and LLM outputs for safety issues like prompt injection, PII leaks, harmful content, toxicity, and hallucinations. Useful for processing untrusted text, reviewing code security, and validating LLM responses.
How this skill is triggered — by the user, by Claude, or both
Slash command
/sentinel-ai:safety-scanningThe summary Claude sees in its skill listing — used to decide when to auto-load this skill
When reviewing text for safety issues, use the sentinel-ai MCP tools:
When reviewing text for safety issues, use the sentinel-ai MCP tools:
Key behaviors:
npx claudepluginhub maxwellcalkin/sentinel-ai --plugin sentinel-aiAudits files, directories, URLs, or content for prompt-injection attempts in untrusted sources like repos, scraped pages, RAG docs, emails. Reports severity, techniques, remediations.
Detects and rejects indirect prompt injection attacks in external content such as social media posts, documents, emails, and web pages. Includes 20+ detection patterns, homoglyph detection, and sanitization scripts.
Audits LLM and GenAI applications against the OWASP Top 10 for LLM Apps 2025, covering prompt injection, data leakage, supply chain, and 7 more critical vulnerabilities.