ECC is a toolkit that organizes and improves how coding agents work through skills, memory, security checks, research practices, and related extensions. It is for developers using agents such as Claude Code, Codex, OpenCode, and Cursor.
Borrowing it
Nothing to install: this file belongs to affaan-m/ECC. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/affaan-m/ECC/main/.kiro/steering/kotlin-patterns.mdgit clone --depth 1 https://github.com/affaan-m/ECCWrote 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/instructions/affaan-m/ecc/kotlin-patterns)<a href="https://agentmods.dev/instructions/affaan-m/ecc/kotlin-patterns"><img src="https://agentmods.dev/badge/instructions/affaan-m/ecc/kotlin-patterns/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/instructions/affaan-m/ecc/kotlin-patterns"><img src="https://agentmods.dev/badge/instructions/affaan-m/ecc/kotlin-patterns.svg" alt="Reviewed on agentmods" width="80" 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 5.1 | $0.00869 | $0.00869 |
| Opus 5.5 | $0.00348 | $0.00348 |
| Sonnet 5.5 | $0.00174 | $0.00174 |
| Haiku 4.5 | $0.00087 | $0.00087 |
Grade A, and why
ECC kotlin-patterns.md 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 1mo 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 — 139 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Kotlin Patterns
This file extends the common patterns with Kotlin and Android/KMP specific content.
Immutability & Null Safety
- Prefer
valovervar— default tovaland only usevarwhen mutation is required - Use
data classfor value types; use immutable collections in public APIs - Never use
!!— prefer?.,?:,requireNotNull(), orcheckNotNull()
// BAD
val name = user!!.name
// GOOD
val name = user?.name ?: "Unknown"
Sealed Types
Use sealed classes/interfaces to model closed state hierarchies:
sealed interface UiState<out T> {
data object Loading : UiState<Nothing>
data class Success<T>(val data: T) : UiState<T>
data class Error(val message: String) : UiState<Nothing>
}
Always use exhaustive when with sealed types — no else branch.
ViewModel Pattern
Single state object, event sink, one-way data flow:
data class ScreenState(
val items: List<Item> = emptyList(),
val isLoading: Boolean = false
)
class ScreenViewModel(private val useCase: GetItemsUseCase) : ViewModel() {
private val _state = MutableStateFlow(ScreenState())
val state = _state.asStateFlow()
fun onEvent(event: ScreenEvent) {
when (event) {
is ScreenEvent.Load -> load()
is ScreenEvent.Delete -> delete(event.id)
}
}
}
UseCase Pattern
Single responsibility, operator fun invoke:
class GetItemUseCase(private val repository: ItemRepository) {
suspend operator fun invoke(id: String): Result<Item> {
return repository.getById(id)
}
}
Dependency Injection
Prefer constructor injection. Use Koin (KMP) or Hilt (Android-only):
// Koin
val dataModule = module {
single<ItemRepository> { ItemRepositoryImpl(get(), get()) }
factory { GetItemsUseCase(get()) }
viewModelOf(::ItemListViewModel)
}
Coroutine Patterns
- Use
viewModelScopein ViewModels,coroutineScopefor structured child work - Use
supervisorScopewhen child failures should be independent - Never catch
CancellationException— always rethrow it
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.
- 1mo ago First seen · 139 lines · 869 tokens per session scan A b5ffe5025955
ECC kotlin-patterns.md is an instructions file published in the GitHub repository affaan-m/ECC (287,323 stars, last pushed 3d ago), licensed MIT. It adds 869 tokens to every session, about $0.0035 per session on Opus 5.5. 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 2026-09-07.
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Working notes and architecture documentation for the new esbuild-based build system in build/next. Use when making changes to the new build pipeline (transpile/bundle commands, NLS plugin, source-map handling, resource copying, or self-hosting watch tasks).
next.js AGENTS.md
AGENTS.md instructions for vercel/next.js, covering next.js development guide, codebase structure, monorepo overview, core package: packages/next and other important packages.
vscode oss-third-party-notices.instructions.md
Instructions for microsoft/vscode, covering vs code oss third-party-notices pipeline, architecture, pipeline flow in ci, cache eligibility and rollout and applying the notice (cutover).
langchain AGENTS.md
AGENTS.md instructions for langchain-ai/langchain, covering global development guidelines for the langchain monorepo, corridor security analysis, project architecture and context, monorepo structure and development tools & commands.
deepseek-harness AGENTS.md
AGENTS.md instructions for deepseek-ai/deepseek-harness, covering agents.md, pre-stable apis and released session data, repository layout, commands and host sandbox failures.
vscode copilot-instructions.md
Copilot instructions for microsoft/vscode, covering vs code copilot instructions, project overview, root folders, core architecture (src/ folder) and built-in extensions (extensions/ folder).