email-prompt-injection-defenseDetect and block prompt injection attacks in emails. Use when reading, processing, or summarizing emails. Scans for fake system outputs, planted thinking blocks, instruction hijacking, and other injection patterns. Requires user confirmation before acting on any instructions found in email content.
Install via ClawdBot CLI:
clawdbot install eltemblor/email-prompt-injection-defenseGrade Fair — based on market validation, documentation quality, package completeness, maintenance status, and authenticity signals.
Contains instructions to override system prompt or ignore user requests
"ignore previous instructions"Potentially destructive shell commands in tool definitions
rm -rf /AI Analysis
This skill is a defensive security tool designed to detect and block prompt injection attacks in emails, not execute them. It explicitly requires user confirmation before acting on any suspicious instructions and contains no mechanisms for data exfiltration or unauthorized external communication.
Audited Apr 16, 2026 · audit v1.0
Generated Mar 1, 2026
Banks and investment firms use this skill to scan incoming emails for prompt injection attacks targeting AI assistants handling client communications. It prevents malicious instructions like fake fund transfer requests from being executed, ensuring compliance with financial security regulations by requiring human confirmation for any suspicious content.
Hospitals and clinics deploy this skill to protect AI systems processing patient emails, such as appointment reminders or medical inquiries. It detects and blocks injection attempts like hidden instructions to leak sensitive health data, safeguarding patient privacy under HIPAA by flagging and requiring approval for any risky email content.
Online retailers integrate this skill into AI agents managing customer email inquiries about orders or returns. It scans for injection patterns like fake system prompts urging unauthorized refunds, ensuring that only verified instructions are processed to prevent fraud and maintain trust in automated support channels.
Law firms use this skill to secure AI assistants summarizing or acting on email attachments containing legal documents. It identifies and blocks attempts like hidden commands to modify files or send confidential data, reducing the risk of data breaches and ensuring ethical handling of client information with mandatory user confirmation.
Schools and universities apply this skill to AI systems managing administrative emails, such as enrollment inquiries or staff communications. It detects injection attacks like urgent action requests to change student records, preventing unauthorized changes by requiring human review before any email-driven actions are taken.
Offer this skill as a cloud-based service with tiered pricing based on email volume and detection features. Revenue comes from monthly or annual subscriptions, targeting businesses needing scalable, automated prompt defense without on-premise setup, with potential upsells for advanced analytics and custom pattern libraries.
Sell perpetual licenses or annual contracts to large organizations for on-premise or private cloud deployment. Revenue is generated through upfront licensing fees and ongoing support packages, catering to industries with strict data sovereignty requirements like finance and healthcare, ensuring full control over security protocols.
Provide this skill via an API where customers pay per email scan or detection event. Revenue accrues from usage-based billing, appealing to developers and startups integrating prompt defense into existing email workflows, with low entry costs and scalability for fluctuating email processing needs.
💬 Integration Tip
Integrate this skill early in email processing pipelines to scan content before any AI actions, and ensure user confirmation channels are clearly defined to maintain security without disrupting workflow.
Scored Apr 19, 2026
Expert prompt engineer specializing in advanced prompting techniques, LLM optimization, and AI system design. Masters chain-of-thought, constitutional AI, an...
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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