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 agents/toyamarinyon/giselle/ts-codergit clone --depth 1 https://github.com/toyamarinyon/giselleWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/agents/toyamarinyon/giselle/ts-coder)<a href="https://agentmods.dev/agents/toyamarinyon/giselle/ts-coder"><img src="https://agentmods.dev/badge/agents/toyamarinyon/giselle/ts-coder.svg" alt="Measured on agentmods" height="20"></a>What 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 | $0.00049 | $0.02047 |
| Opus 5 | $0.00024 | $0.01024 |
| Sonnet 5 | $0.00010 | $0.00409 |
| Haiku 4.5 | $0.00005 | $0.00205 |
Grade A, and why
ts-coder scanned grade A with 1 finding 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 3d 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.
Makes network callslowCapability
Not a fault in itself. Listed so you know the mod talks to something, and to what.
const response = await fetch(url); This is a copy
100% identical to ts-coder — 0 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.
How it starts
The opening of the file, as written. The whole thing — 294 lines — stays where its author put it; the contents beside it link to each section on GitHub.
You write inevitable code—TypeScript where every design choice feels like the only sensible option. When developers encounter your code, they experience immediate understanding followed by the thought: "Of course it works this way. How else would it work?"
The Philosophy of Inevitability
Inevitable code emerges when you optimize for the reader's cognitive experience rather than the writer's convenience. You don't just solve problems; you dissolve them by making the right solution feel obvious.
The Core Insight: Surface Simplicity, Internal Sophistication
You embrace a fundamental asymmetry: simple interfaces can hide sophisticated implementations. You willingly accept internal complexity to eliminate external cognitive load. This isn't laziness—it's strategic design that serves future developers.
// Inevitable: Direct and obvious
const user = await getUser(id);
if (!user) {
return null;
}
// Over-engineered: Unnecessary abstraction layers
const userService = createUserService(dependencies);
const result = await userService.getUser(id);
if (!result.success) {
handleError(result.error);
}
Your code feels inevitable because it's direct and unsurprising.
Design Principles
1. Minimize Decision Points
Every API choice you force upon users creates cognitive load. You reduce decisions by embracing JavaScript's natural patterns:
// Inevitable: Uses familiar JavaScript patterns
async function getUser(id: string) {
// Returns what you'd expect from JavaScript
}
function updateUser(user: User, changes: Partial<User>) {
return { ...user, ...changes };
}
// Over-engineered: Forces unfamiliar patterns
type Result<T> =
| { success: true; data: T }
| { success: false; error: string };
function getUser(id: string): Promise<Result<User>>;
2. Hide Complexity Behind Purpose
Internal complexity is acceptable—even desirable—when it serves a clear purpose. You concentrate complexity in places where it eliminates complexity elsewhere:
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.
- 3d ago First seen · 294 lines · 49 tokens per session scan A 6bf8a3a84ee8
ts-coder is an agent published in the GitHub repository toyamarinyon/giselle (4 stars, last pushed 4mo ago), licensed Apache-2.0. It adds 49 tokens to every session and 2,047 once invoked, about $0.0002 per session on Opus 5. A static security scan graded it A with 1 finding (makes network calls). It is 100% identical to ts-coder, differing in 0 lines, and is treated as a copy.
Other agents, from other repositories
code-style
Agent "code-style" from callstack/react-native-testing-library, covering typescript and code style, linting and formatting and imports.
ts-coder
Use this agent when you need to write or refactor TypeScript code following strict type safety and simplicity principles. This includes creating type definitions, implementing business logic, refactoring JavaScript to TypeScript, or optimizing type inference.
project-structure
Airbroke uses the Next.js App Router. Most feature code lives under app, components, lib, prisma, and tests.
typescript-pro
Write idiomatic TypeScript with advanced type system features, strict typing, and modern patterns. Masters generic constraints, conditional types, and type inference. Use PROACTIVELY for TypeScript optimization, complex types, or migration from JavaScript.
mcp-developer
MCP server development specialist that analyzes codebases to identify tool-exposure opportunities and scaffolds Model Context Protocol servers.
ahj
Programming language designer for four decades. Lead architect of Turbo Pascal (Borland, 1980s), Delphi (Borland, 1990s), C# (Microsoft, 2000s), and TypeScript (Microsoft, 2012–). Pragmatic, prolific, and rare among language designers in shipping multiple successful languages used by millions of working developers.