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/guillemroca/agent-skills-android/context-engineeringnpx skills add GuillemRoca/agent-skills-android --skill context-engineeringgit clone --depth 1 https://github.com/GuillemRoca/agent-skills-androidWrote 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/skills/guillemroca/agent-skills-android/context-engineering)<a href="https://agentmods.dev/skills/guillemroca/agent-skills-android/context-engineering"><img src="https://agentmods.dev/badge/skills/guillemroca/agent-skills-android/context-engineering.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 | $0.00042 | $0.01334 |
| Opus 5 | $0.00021 | $0.00667 |
| Sonnet 5 | $0.00008 | $0.00267 |
| Haiku 4.5 | $0.00004 | $0.00133 |
Grade A, and why
context-engineering 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 4d 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 — 141 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Context Engineering
Overview
"Context is the single biggest lever for agent output quality." Agents don't read your mind — they read your context. This skill teaches you to engineer that context so agents produce code that matches your project's conventions, architecture, and constraints.
When to Use
- Setting up a new Android project for AI-assisted development
- Agent output consistently diverges from project conventions
- Agent invents APIs or patterns that don't exist in your codebase
- After adding new libraries, modules, or architectural patterns
- When onboarding a new team member who uses AI tools
Skip when: Agent output is already consistent with project conventions.
Five-Level Context Hierarchy
Load context in this priority order:
| Level | Source | What It Provides | Persistence |
|---|---|---|---|
| 1 | Rules files (CLAUDE.md, .cursorrules) |
Tech stack, commands, conventions, boundaries | Permanent |
| 2 | Specs & architecture docs (SPEC.md, ADRs) |
Design decisions, constraints, rationale | Per-project |
| 3 | Source code (read specific files) | Current implementation, patterns in use | Real-time |
| 4 | Error output & test results | What's broken, what's expected | Per-session |
| 5 | Conversation history | Current task context | Ephemeral |
Optimal range: ~2,000 lines of focused context per task. More dilutes attention; less causes invention.
Core Process
Step 1: Write Rules Files
- Create a
CLAUDE.md(or equivalent) in your project root:
# Project Rules
## Tech Stack
- Language: Kotlin 2.0+
- UI: Jetpack Compose with Material 3
- Architecture: MVVM with Clean Architecture layers
- DI: Hilt
- Async: Coroutines + Flow
- Database: Room
- Network: Retrofit + OkHttp + Kotlin Serialization
- Image loading: Coil
- Navigation: Navigation Compose
- Testing: JUnit5 + MockK + Compose Test Rules + Espresso
## Commands
- Build: `./gradlew assembleDebug`
- Test (unit): `./gradlew test`
- Test (instrumented): `./gradlew connectedAndroidTest`
- Lint: `./gradlew lint`
- Format: `./gradlew spotlessApply`
- Check: `./gradlew detekt`
## Module Structure
- `:app` — application module (MainActivity, navigation, DI setup)
- `:feature:*` — feature modules (screens, ViewModels)
- `:core:data` — repositories, data sources, API services
- `:core:domain` — use cases, domain models
- `:core:ui` — shared Compose components, theme
- `:core:common` — utilities, extensions
## Conventions
- ViewModels expose `StateFlow<UiState>`, never `LiveData`
- UI state is a single sealed interface per screen
- Repository functions are `suspend` or return `Flow`
- Use `@Inject constructor` for Hilt, not field injection
- Composables: stateless with state hoisting
- Tests follow Arrange-Act-Assert pattern
- Naming: `FeatureNameScreen`, `FeatureNameViewModel`, `FeatureNameUiState`
## Boundaries
- No `LiveData` in new code (use `StateFlow`)
- No XML layouts in new features (use Compose)
- No `GlobalScope` (use `viewModelScope` or structured concurrency)
- No hardcoded strings in UI (use `stringResource`)
- No `Thread.sleep` in tests (use `advanceUntilIdle`)
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.
- 4d ago First seen · 141 lines · 42 tokens per session scan A a5b49c878be7
context-engineering is a skill published in the GitHub repository GuillemRoca/agent-skills-android (2 stars, last pushed 2mo ago), licensed MIT. It adds 42 tokens to every session and 1,334 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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