Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx agentmods add rules/adaline/gateway/typesgit clone --depth 1 https://github.com/adaline/gatewayWhat it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5 | $0.00000 | $0.02902 |
| Opus 5 | $0.00000 | $0.01451 |
| Sonnet 5 | $0.00000 | $0.00580 |
| Haiku 4.5 | $0.00000 | $0.00290 |
Grade A, and why
types scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured yesterday.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
How it starts
The opening of the file, as written. The whole thing — 488 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Types Package Rules & Instructions
Package Overview
The types package contains shared type definitions, Zod schemas, and interfaces used across the entire Adaline Gateway ecosystem. This package serves as the single source of truth for all data structures.
Type Definition Rules
1. Schema-First Approach
- ALWAYS define Zod schemas first, then derive TypeScript types
- ALWAYS export both the schema and the inferred type
- ALWAYS use descriptive schema names ending with descriptive suffixes
- NEVER define types without corresponding schemas
2. Naming Conventions
- ALWAYS use PascalCase for schema names:
ChatResponse,MessageContent - ALWAYS use PascalCase +
Typesuffix for type names:ChatResponseType,MessageContentType - ALWAYS use descriptive names that clearly indicate purpose
- ALWAYS follow the pattern:
{SchemaName}and{SchemaName}Type
Schema Definition Instructions
1. Basic Schema Structure
// ✅ CORRECT: Define schema first, then type
const ChatResponse = z.object({
messages: z.array(Message()),
usage: ChatUsage.optional(),
logProbs: ChatLogProbs.optional(),
});
type ChatResponseType = z.infer<typeof ChatResponse>;
// ❌ INCORRECT: Define type without schema
type ChatResponseType = {
messages: MessageType[];
usage?: ChatUsageType;
logProbs?: ChatLogProbsType;
};
2. Schema Composition
// ✅ CORRECT: Compose schemas from smaller parts
const ChatUsage = z.object({
promptTokens: z.number().nonnegative(),
completionTokens: z.number().nonnegative(),
totalTokens: z.number().nonnegative(),
});
const ChatResponse = z.object({
messages: z.array(Message()),
usage: ChatUsage.optional(),
});
// ❌ INCORRECT: Duplicate schema definitions
const ChatResponse = z.object({
messages: z.array(Message()),
usage: z.object({
promptTokens: z.number().nonnegative(),
completionTokens: z.number().nonnegative(),
totalTokens: z.number().nonnegative(),
}).optional(),
});
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- yesterday First seen · 488 lines · 0 tokens per session scan A 3e1bf64ca978
types is a cursor rule published in the GitHub repository adaline/gateway (605 stars, last pushed 1mo ago), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 2,902 tokens. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
Other cursor rules, from other repositories
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Guide for implementing JS SDK agent and framework instrumentations, such as LangChain, LangGraph, OpenAI Agents, Claude Agent SDK, Google ADK, and Vercel AI.
coding-agents-hook
Authoring and testing coding-agent hook adapters, including payload probing, session state, capture modes, and plugin manifests. Consult the telemetry convention when changing canonical attributes.
coding-agents-convention
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security-testing
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documentation
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js-sdk-genai-instrumentation
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