CopilotTraining python.instructions.md

A set of Python coding instructions covering naming and style rules for a project.

In plain words
What is it for?
Use it when developing Python for MSBart2 or CopilotTraining, including snake_case names, PascalCase classes, and UPPER_SNAKE_CASE constants.
Why use it?
It helps keep Python code consistent by defining how to name variables, functions, classes, and constants.

Instructions file for GitHub Copilot

Install

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.

agentmods
npx agentmods add instructions/msbart2/copilottraining/python
Clone the repo
git clone --depth 1 https://github.com/MSBart2/CopilotTraining

Made for: GitHub Copilot.

Per session 586 This file is loaded in full into every session.
When invoked 586 The same file — it is already loaded in full.
Security scan C 1 finding. Scan, not verified.
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 $0.00586 $0.00586
Opus 5 $0.00293 $0.00293
Sonnet 5 $0.00117 $0.00117
Haiku 4.5 $0.00059 $0.00059

Measured yesterday against content hash 691c78ae4659, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade C, and why

CopilotTraining python.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 yesterday.

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.

Hidden instructionshighPrompt injection

Directives inside HTML comments, invisible characters or bidirectional overrides are read by the model and not by the person reviewing the file.

<!-- Reference implementation for Module 4, Exercise 4.2: Language-Specific Instructions -->
workshop/examples/completed-config/.github/instructions/python.instructions.md · 130 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. yesterday First seen · 130 lines · 586 tokens per session scan C 691c78ae4659

Subscribe to this mod's changes

CopilotTraining python.instructions.md is an instructions file published in the GitHub repository MSBart2/CopilotTraining (2 stars, last pushed 4d ago), with no licence file. It adds 586 tokens to every session, about $0.0029 per session on Opus 5. A static security scan graded it C with 1 finding (hidden instructions). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.

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