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/peterblazejewicz/claude-plugins/context-engineeringnpx skills add peterblazejewicz/claude-plugins --skill context-engineeringgit clone --depth 1 https://github.com/peterblazejewicz/claude-pluginsWrote 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/peterblazejewicz/claude-plugins/context-engineering)<a href="https://agentmods.dev/skills/peterblazejewicz/claude-plugins/context-engineering"><img src="https://agentmods.dev/badge/skills/peterblazejewicz/claude-plugins/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 | $0.00080 | $0.03757 |
| Opus 5 | $0.00040 | $0.01878 |
| Sonnet 5 | $0.00016 | $0.00751 |
| Haiku 4.5 | $0.00008 | $0.00376 |
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 — 342 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Context Engineering
Overview
Feed agents the right information at the right time. Context is the single biggest lever for agent output quality — too little and the agent hallucinates, too much and it loses focus. Context engineering is the practice of deliberately curating what the agent sees, when it sees it, and how it's structured.
When to Use
- Starting a new coding session
- Agent output quality is declining (wrong patterns, hallucinated APIs, ignoring conventions)
- Switching between different parts of a codebase (Avalonia host vs ASP.NET Core API vs shared
Core) - Setting up a new project for AI-assisted development
- The agent is not following project conventions
The Context Hierarchy
Structure context from most persistent to most transient:
┌─────────────────────────────────────┐
│ 1. Rules Files (CLAUDE.md, etc.) │ ← Always loaded, project-wide
├─────────────────────────────────────┤
│ 2. Spec / Architecture Docs │ ← Loaded per feature/session
├─────────────────────────────────────┤
│ 3. Relevant Source Files │ ← Loaded per task
├─────────────────────────────────────┤
│ 4. Error Output / Test Results │ ← Loaded per iteration
├─────────────────────────────────────┤
│ 5. Conversation History │ ← Accumulates, compacts
└─────────────────────────────────────┘
Level 1: Rules Files
Create a rules file that persists across sessions. This is the highest-leverage context you can provide.
CLAUDE.md (for Claude Code) — example for a .NET/Avalonia project:
# Project: [Name]
## Tech Stack
- .NET 8 (LTS), C# 12
- Avalonia 11 for desktop UI (CommunityToolkit.Mvvm for view models)
- ASP.NET Core 8 for the HTTP API
- EF Core 8 against PostgreSQL (Npgsql); SQLite for integration tests
- xUnit v3 + native `Xunit.Assert` for unit tests; WebApplicationFactory for integration tests
- `<TreatWarningsAsErrors>true</TreatWarningsAsErrors>`, `<Nullable>enable</Nullable>`
## Solution layout
- src/MyApp → Avalonia host, composition root
- src/MyApp.Core → Domain types, use cases, pure logic (no framework references)
- src/MyApp.Infrastructure → EF Core DbContext, external integrations
- src/MyApp.Contracts → DTOs shared by server + clients
- tests/MyApp.Core.Tests
- tests/MyApp.Infrastructure.Tests
## Commands
- Restore: `dotnet restore`
- Build: `dotnet build -warnaserror`
- Test: `dotnet test --collect:"XPlat Code Coverage"`
- Format: `dotnet format --verify-no-changes`
- Run host: `dotnet run --project src/MyApp`
- Migrate: `dotnet ef migrations add <Name> -p src/MyApp.Infrastructure -s src/MyApp`
## Code Conventions
- Nullable reference types on (`<Nullable>enable</Nullable>`); public APIs have honest nullability
- `_camelCase` for private fields; `PascalCase` for properties and methods
- Prefer `record` / `record struct` for value-typed data with value equality
- Expression-bodied methods only when the body is one short line
- File-scoped namespaces; one top-level type per file
- `async` methods always accept `CancellationToken` on I/O paths; no sync-over-async (`.Result`, `.Wait()`)
- `using` directives sorted alphabetically with `System.*` first
## Boundaries
- Never commit secrets; use `dotnet user-secrets` for dev and Key Vault / env for prod
- Never add a NuGet package without updating `Directory.Packages.props`
- Ask before modifying EF Core migrations or `DbContext` shape
- Ask before adding project references (we intentionally avoid `Core → Infrastructure`)
- Always run `dotnet test` and `dotnet build -warnaserror` before committing
## Patterns
[Paste one short, well-written view model or service from the codebase — e.g. a CommunityToolkit.Mvvm partial class with observable properties and a RelayCommand, or an ASP.NET Core Minimal API endpoint with ProblemDetails error handling]
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 · 342 lines · 80 tokens per session scan A c670783b462c
context-engineering is a skill published in the GitHub repository peterblazejewicz/claude-plugins (7 stars, last pushed 2mo ago), licensed MIT. It adds 80 tokens to every session and 3,757 once invoked, about $0.0004 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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