adk_training: Instructions file for GitHub Copilot

.github/copilot-instructions.md

adk_training copilot-instructions.md is an instructions file for GitHub Copilot from raphaelmansuy/adk_training. It costs 5,643 tokens per session, scanned C, original, no licence file.

Project-specific instructions for developing Google ADK Training, a project for learning and building with Google's Agent Development Kit. They describe its structure, agent hierarchy, design patterns, and tool development practices.

In plain words
What is it for?
Use them when working on the raphaelmansuy/adk_training project, especially its agents, architecture, or tools.
Why use it?
They give a coding agent the project context and rules needed to make changes that fit the existing codebase.

Instructions file for GitHub Copilot

Written for GitHub Copilot: a Copilot instructions file.

This is raphaelmansuy/adk_training's own configuration. It tells GitHub Copilot how to work on adk_training itself, so it is not a mod to install elsewhere. Copy it as a starting point and replace the rules that are about this project. Everything adk_training configures →

Reuse

Borrowing it

Nothing to install: this file belongs to raphaelmansuy/adk_training. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.

Copy the file
curl -O https://raw.githubusercontent.com/raphaelmansuy/adk_training/main/.github/copilot-instructions.md
Clone the repo
git clone --depth 1 https://github.com/raphaelmansuy/adk_training

Made for: GitHub Copilot.

Wrote 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.

agentmods badge for adk_training copilot-instructions.md

README.md
[![agentmods](https://agentmods.dev/badge/instructions/raphaelmansuy/adk_training/copilot-instructions/github.svg)](https://agentmods.dev/instructions/raphaelmansuy/adk_training/copilot-instructions)
Your own site
<a href="https://agentmods.dev/instructions/raphaelmansuy/adk_training/copilot-instructions"><img src="https://agentmods.dev/badge/instructions/raphaelmansuy/adk_training/copilot-instructions/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.

agentmods 80×15 button for adk_training copilot-instructions.md

Your own site · 80×15
<a href="https://agentmods.dev/instructions/raphaelmansuy/adk_training/copilot-instructions"><img src="https://agentmods.dev/badge/instructions/raphaelmansuy/adk_training/copilot-instructions.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 5,643 This file is loaded in full into every session.
When invoked 5,643 The same file — it is already loaded in full.
Security scan C 1 finding. A grade says what 26 rules found in the file — not that it is safe.
Origin unknown No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5.1 $0.05643 $0.05643
Opus 5.5 $0.02257 $0.02257
Sonnet 5.5 $0.01129 $0.01129
Haiku 4.5 $0.00564 $0.00564

Measured 2mo ago against content hash 29625a1d8a5f, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade C, and why

adk_training copilot-instructions.md scanned grade C 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 2mo 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.

Recursive force deletehighDestructive command

rm -rf with a variable or a broad path is one typo away from removing the wrong tree.

set -o pipefail; rm -rf build && npm run build 2>&1 | tail -100
.github/copilot-instructions.md · 697 lines

The source is not reproduced here

No licence file

A repository with no LICENSE is all rights reserved by default, so the body is not copied here. The metadata, the measurements and the link are.

Read it on GitHub

Changes

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.

  1. 2mo ago First seen · 697 lines · 5,643 tokens per session scan C 29625a1d8a5f

Subscribe to this mod's changes

adk_training copilot-instructions.md is an instructions file published in the GitHub repository raphaelmansuy/adk_training (109 stars, last pushed 8mo ago), with no licence file. It adds 5,643 tokens to every session, about $0.0226 per session on Opus 5.5. A static security scan graded it C with 1 finding (recursive force delete). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.

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