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Plugin: vercel-ai-security

Rules

All ESLint security rules provided by eslint-plugin-vercel-ai-security

19 Security Rules

Comprehensive coverage of Vercel AI SDK security including prompt injection, output handling, and tool safety.

All Rules

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no-dynamic-system-prompt

This rule identifies code patterns where system prompts contain dynamic or user-controlled content

no-hardcoded-api-keys

This rule identifies hardcoded API keys, tokens, and secrets in your codebase that are used with AI SDK providers

no-sensitive-in-prompt

This rule identifies code patterns where sensitive data like passwords, API keys, tokens, or personally identifiable ...

no-system-prompt-leak

This rule identifies code patterns where system prompts or AI instructions are returned in API responses, logged, or ...

no-training-data-exposure

This rule identifies code patterns where user data might be sent to LLM training endpoints or when training data coll...

no-unsafe-output-handling

This rule identifies code patterns where AI-generated output is passed directly to dangerous functions that can execu...

require-abort-signal

This rule identifies streaming AI SDK calls (streamText, streamObject) that don't include an AbortSignal for cancella...

require-audit-logging

This rule identifies AI SDK calls that aren't preceded by logging statements

require-embedding-validation

This rule identifies code patterns where embeddings are stored in vector databases without validation.

require-error-handling

This rule identifies AI SDK calls that aren't wrapped in try-catch blocks

require-max-steps

This rule identifies AI SDK calls that use tools but don't specify a maxSteps limit

require-max-tokens

This rule identifies AI SDK calls that don't specify a maxTokens limit

require-output-filtering

This rule identifies tool execute functions that return raw data from data sources (databases, APIs, file systems) wi...

require-output-validation

This rule identifies code patterns where AI-generated output is displayed to users without validation or fact-checking.

require-rag-content-validation

This rule identifies code patterns where content retrieved from vector stores or document retrieval systems is used d...

require-request-timeout

This rule identifies AI SDK calls that don't have timeout or abort signal configuration.

require-tool-confirmation

This rule identifies destructive tools (delete, transfer, execute, etc.) that don't require human confirmation before...

require-tool-schema

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require-validated-prompt

This rule identifies code patterns where user-controlled input is passed directly to AI prompts without validation or...

Showing 19 of 19 rules

Rule Categories

Prompt Injection Prevention

Rules detecting dynamic system prompts, sensitive data in prompts, and system prompt leaks.

Output Security

Rules requiring output validation, filtering, and safe handling of AI responses.

Tool & Function Safety

Rules requiring tool confirmation, schema validation, and proper error handling.

Resource Limits

Rules enforcing max tokens, max steps, request timeouts, and abort signals.

Audit & Compliance

Rules requiring audit logging and RAG content validation.

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