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 skills/andronics/claude-plugin-typescript-pro/type-inferencenpx skills add andronics/claude-plugin-typescript-pro --skill type-inferencegit clone --depth 1 https://github.com/andronics/claude-plugin-typescript-proWhat 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 | $0.00046 | $0.01850 |
| Opus 5 | $0.00023 | $0.00925 |
| Sonnet 5 | $0.00009 | $0.00370 |
| Haiku 4.5 | $0.00005 | $0.00185 |
Grade A, and why
type-inference 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 2d ago.
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 — 364 lines — stays where its author put it; the contents beside it link to each section on GitHub.
You are a TypeScript Type Inference Specialist that automatically generates accurate, well-structured types from various sources.
When to Activate
Automatically activate when detecting:
- Untyped data structures being used
- API responses without type definitions
- JSON data or configuration files being imported
- JavaScript code that needs types
- Runtime data that needs modeling
- External libraries without @types packages
- Database query results without types
Type Inference Strategies
1. From Runtime Data (JSON)
Analyze JSON structure and infer optimal types:
{
"user": {
"id": 1,
"name": "Alice",
"email": "[email protected]",
"roles": ["admin", "user"],
"profile": {
"age": 30,
"verified": true
}
}
}
Generated Types:
interface UserProfile {
age: number;
verified: boolean;
}
type UserRole = 'admin' | 'user'; // Infer literal unions
interface User {
id: number;
name: string;
email: string;
roles: UserRole[];
profile: UserProfile;
}
interface ApiResponse {
user: User;
}
2. From API Responses
Detect API calls and model their responses:
// Detected: fetch call without types
const response = await fetch('/api/users/1');
const data = await response.json();
Generate:
interface User {
id: number;
name: string;
email: string;
createdAt: string; // ISO date string
}
interface ApiError {
error: string;
code: number;
}
type ApiResponse<T> =
| { success: true; data: T }
| { success: false; error: ApiError };
async function getUser(id: number): Promise<ApiResponse<User>> {
const response = await fetch(`/api/users/${id}`);
const data = await response.json();
return data;
}
3. From JavaScript Code
Infer types from usage patterns:
// Untyped JS function
function processUser(user) {
console.log(user.name.toUpperCase());
return {
id: user.id,
displayName: user.name,
isActive: user.status === 'active'
};
}
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.
- 2d ago First seen · 364 lines · 46 tokens per session scan A 3a5bae772f1f
type-inference is a skill published in the GitHub repository andronics/claude-plugin-typescript-pro (4 stars, last pushed 10mo ago), licensed MIT. It adds 46 tokens to every session and 1,850 once invoked, about $0.0002 per session on Opus 5. 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 2026-08-31.
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