Context Engineering Template is a repository of instructions, examples, workflows, and validation practices that give AI coding assistants the information they need to complete software tasks. It is for developers working with Claude Code or other coding assistants, and the catalogue entries package parts of its workflow as commands, agents, instructions, and a skill.
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 instructions/coleam00/context-engineering-intro/claude-mdgit clone --depth 1 https://github.com/coleam00/context-engineering-introWrote 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/coleam00/context-engineering-intro/claude-md)<a href="https://agentmods.dev/instructions/coleam00/context-engineering-intro/claude-md"><img src="https://agentmods.dev/badge/instructions/coleam00/context-engineering-intro/claude-md.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 | $0.00693 | $0.00693 |
| Opus 5 | $0.00347 | $0.00347 |
| Sonnet 5 | $0.00139 | $0.00139 |
| Haiku 4.5 | $0.00069 | $0.00069 |
Grade A, and why
context-engineering-intro CLAUDE.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 5d 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.
Copies of this mod
1 near-identical copy found in the catalogue:
- context-engineering-intro-CN CLAUDE.md — 100% identical, 0 lines differ
How it starts
The opening of the file, as written. The whole thing — 59 lines — stays where its author put it; the contents beside it link to each section on GitHub.
🔄 Project Awareness & Context
- Always read
PLANNING.mdat the start of a new conversation to understand the project's architecture, goals, style, and constraints. - Check
TASK.mdbefore starting a new task. If the task isn’t listed, add it with a brief description and today's date. - Use consistent naming conventions, file structure, and architecture patterns as described in
PLANNING.md. - Use venv_linux (the virtual environment) whenever executing Python commands, including for unit tests.
🧱 Code Structure & Modularity
- Never create a file longer than 500 lines of code. If a file approaches this limit, refactor by splitting it into modules or helper files.
- Organize code into clearly separated modules, grouped by feature or responsibility.
For agents this looks like:
agent.py- Main agent definition and execution logictools.py- Tool functions used by the agentprompts.py- System prompts
- Use clear, consistent imports (prefer relative imports within packages).
- Use clear, consistent imports (prefer relative imports within packages).
- Use python_dotenv and load_env() for environment variables.
🧪 Testing & Reliability
- Always create Pytest unit tests for new features (functions, classes, routes, etc).
- After updating any logic, check whether existing unit tests need to be updated. If so, do it.
- Tests should live in a
/testsfolder mirroring the main app structure.- Include at least:
- 1 test for expected use
- 1 edge case
- 1 failure case
- Include at least:
✅ Task Completion
- Mark completed tasks in
TASK.mdimmediately after finishing them. - Add new sub-tasks or TODOs discovered during development to
TASK.mdunder a “Discovered During Work” section.
📎 Style & Conventions
- Use Python as the primary language.
- Follow PEP8, use type hints, and format with
black. - Use
pydanticfor data validation. - Use
FastAPIfor APIs andSQLAlchemyorSQLModelfor ORM if applicable. - Write docstrings for every function using the Google style:
def example(): """ Brief summary. Args: param1 (type): Description. Returns: type: Description. """
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.
- 5d ago First seen · 59 lines · 693 tokens per session scan A 7e355492496c
context-engineering-intro CLAUDE.md is an instructions file published in the GitHub repository coleam00/context-engineering-intro (13,822 stars, last pushed 5mo ago), licensed MIT. It adds 693 tokens to every session, about $0.0035 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 2026-08-30.
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