ai-coding-workshop-250712 python.instructions.md

Instructions for chatbotgang/ai-coding-workshop-250712, covering python development guide in cl, architecture patterns, clean architecture, common patterns and dependency injection.

Instructions file for GitHub Copilot

Install

Getting it into your agent

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agentmods
npx agentmods add instructions/chatbotgang/ai-coding-workshop-250712/python
Clone the repo
git clone --depth 1 https://github.com/chatbotgang/ai-coding-workshop-250712

Made for: GitHub Copilot.

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When invoked 5,671 The same file — it is already loaded in full.
Security scan A 0 findings. Scan, not verified.
Origin unknown No closer match found in the catalogue.
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ModelPer sessionOnce invoked
Fable 5 $0.05671 $0.05671
Opus 5 $0.02835 $0.02835
Sonnet 5 $0.01134 $0.01134
Haiku 4.5 $0.00567 $0.00567

Measured today against content hash fafbe8281797, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

ai-coding-workshop-250712 python.instructions.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 today.

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.

.github/instructions/python.instructions.md · 872 lines

How it starts

The opening of the file, as written. The whole thing — 872 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Python Development Guide in CL

This document provides comprehensive guidance for Python development in Crescendo Lab, covering architecture patterns, coding style, and best practices for FastAPI applications.

Table of Contents

Architecture Patterns

Clean Architecture

Python projects in CL follow a clean architecture pattern with distinct layers:

  1. Entrypoint Layer (entrypoint/)

    • Contains application entry points and configuration
    • HTTP servers, CLI commands, and application bootstrapping
    • Depends on router and domain layers
  2. Domain Layer (internal/domain/)

    • Contains business entities and logic
    • Independent of external frameworks and databases
    • Defines protocols (interfaces) that are implemented by outer layers
  3. Router Layer (internal/router/)

    • HTTP handlers, middleware, and routing logic
    • Connects external HTTP requests to internal domain logic
    • Depends on domain layer
  4. Adapter Layer (internal/adapter/) - Future implementation

    • Implements protocols defined in the domain layer
    • Connects the application to external systems (databases, message brokers, etc.)
    • Contains concrete implementations of repositories and services

Read the full file on GitHub · 872 lines

Changes

What this file has done since we first saw it

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  1. today First seen · 872 lines · 5,671 tokens per session scan A fafbe8281797

Subscribe to this mod's changes

ai-coding-workshop-250712 python.instructions.md is an instructions file published in the GitHub repository chatbotgang/ai-coding-workshop-250712 (66 stars, last pushed 1y ago), licensed Apache-2.0. It adds 5,671 tokens to every session, about $0.0284 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 2026-09-01.

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