What is agentic-shell-python AGENTS.md?

A set of instructions for AI agents working on agentic-shell-python, a starter application with a Python web server, a Next.js web interface, and Azure deployment files. It documents the project's setup, services, costs, environment settings, and included agent skills.

Use it when developing or deploying this application, configuring its local services, working with Azure OpenAI, or adding agent capabilities to the starter project.

It gives agents the repository-specific details needed to run, modify, or deploy the application. This reduces mistakes caused by guessing how the backend, frontend, cloud services, or environment variables fit together.

How EmeaAppGbb/agentic-shell-python configures Codex and OpenCode

Reuse

Borrowing it

Nothing to install: this file belongs to EmeaAppGbb/agentic-shell-python. 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/EmeaAppGbb/agentic-shell-python/main/AGENTS.md

Clone the repo

git clone --depth 1 https://github.com/EmeaAppGbb/agentic-shell-python

Made for: Codex, OpenCode.

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.

README.md

[![agentmods](https://agentmods.dev/badge/instructions/emeaappgbb/agentic-shell-python/agents-md/github.svg)](https://agentmods.dev/instructions/emeaappgbb/agentic-shell-python/agents-md)

Your own site

<a href="https://agentmods.dev/instructions/emeaappgbb/agentic-shell-python/agents-md"><img src="https://agentmods.dev/badge/instructions/emeaappgbb/agentic-shell-python/agents-md/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.

Your own site · 80×15

<a href="https://agentmods.dev/instructions/emeaappgbb/agentic-shell-python/agents-md"><img src="https://agentmods.dev/badge/instructions/emeaappgbb/agentic-shell-python/agents-md.svg" alt="Reviewed on agentmods" width="80" height="20"></a>

Per session 983 This file is loaded in full into every session.

When invoked 983 The same file — it is already loaded in full.

Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.

Origin original 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.

Model	Per session	Once invoked
Fable 5.1	$0.00983	$0.00983
Opus 5.5	$0.00393	$0.00393
Sonnet 5.5	$0.00197	$0.00197
Haiku 4.5	$0.00098	$0.00098

Measured 2mo ago against content hash c27c2d713a2d, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

agentic-shell-python AGENTS.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 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.

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.

AGENTS.md · 127 lines

How it starts

The opening of the file, as written. The whole thing — 127 lines — stays where its author put it; the contents beside it link to each section on GitHub.

AGENTS.md

AI coding agent instructions for agentic-shell-python.

Overview

Aspect	Details
Stack	Python 3.11+ FastAPI backend, Next.js 16/React 19 frontend
Infra	Azure Container Apps, OpenAI (gpt-5-mini), Cosmos DB, AI Search (unused)
Status	Starter template - use skills to add AI agent capabilities
Cost	~$309/month ($74 wasted on unused Cosmos DB + AI Search)

Quick Start

# Recommended: Aspire orchestration
dotnet run --project apphost.cs
# Backend: localhost:8080 | Frontend: localhost:3000 | Dashboard: localhost:15888

# Or individually:
cd src/agentic-api && uv run fastapi dev main.py
cd src/agentic-ui && npm run dev

# Deploy to Azure
azd up

Environment Variables

Backend (src/agentic-api/.env):

AZURE_OPENAI_ENDPOINT=https://<name>.openai.azure.com/
AZURE_OPENAI_DEPLOYMENT_NAME=gpt5MiniDeployment

Frontend (src/agentic-ui/.env.local):

AGENT_API_URL=http://localhost:8080

Agent Skills

This repository includes skills for adding AI agent capabilities:

Skill	Purpose
`.github/skills/ms-agent-framework`	Add Microsoft Agent Framework to Python backend
`.github/skills/ag-ui-integration`	Connect frontend to backend with AG-UI protocol

To add AI agent capabilities, follow the instructions in these skills.

Key Files

Path	Purpose
`src/agentic-api/main.py`	FastAPI application (starter template)
`src/agentic-ui/app/page.tsx`	React page component
`src/agentic-ui/app/layout.tsx`	Root layout
`infra/main.bicep`	Subscription-scoped IaC entry point
`infra/resources.bicep`	Container Apps, Cosmos DB, AI Search
`apphost.cs`	.NET Aspire orchestration

Architecture

Browser → Next.js → FastAPI → (Add agent with skills)

Starter Template: No AI agent by default - use skills to add
Auth: Azure Managed Identity (no secrets in code)
Stateless: No conversation persistence (Cosmos DB provisioned but unused)

Read the full file on GitHub · 127 lines

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.

2mo ago First seen · 127 lines · 983 tokens per session scan A c27c2d713a2d

Subscribe to this mod's changes

agentic-shell-python AGENTS.md is an instructions file published in the GitHub repository EmeaAppGbb/agentic-shell-python (2 stars, last pushed 8mo ago), licensed MIT. It adds 983 tokens to every session, about $0.0039 per session on Opus 5.5. 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.

agentic-shell-python AGENTS.md next to 6 instructions from other repositories
Mod	Type	Stars	Last push	Licence	Scan	Tokens	Works with
agentic-shell-python AGENTS.mdEmeaAppGbb/agentic-shell-python	Instructions file	2	8mo ago	MIT	A	983	Codex, OpenCode
vscode buildNext.instructions.mdmicrosoft/vscode	Instructions file	195k	yesterday	MIT	A	9,719	GitHub Copilot
next.js AGENTS.mdvercel/next.js	Instructions file	143k	yesterday	MIT	A	7,461	Codex, OpenCode
langchain AGENTS.mdlangchain-ai/langchain	Instructions file	149k	yesterday	MIT	A	4,680	Codex, OpenCode
vscode oss-third-party-notices.instructions.mdmicrosoft/vscode	Instructions file	195k	yesterday	MIT	A	5,516	GitHub Copilot
vscode copilot-instructions.mdmicrosoft/vscode	Instructions file	195k	yesterday	MIT	A	3,093	GitHub Copilot
deepseek-harness AGENTS.mddeepseek-ai/deepseek-harness	Instructions file	274k	2d ago	MIT	A	4,313	Codex, OpenCode

agentic-shell-python: Instructions file for Codex