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.

In plain words
What is it for?
Use it when developing or deploying this application, configuring its local services, working with Azure OpenAI, or adding agent capabilities to the starter project.
Why use it?
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.

Instructions file for CodexOpenCode

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/emeaappgbb/agentic-shell-python/agents-md
Clone the repo
git clone --depth 1 https://github.com/EmeaAppGbb/agentic-shell-python

Made for: Codex, OpenCode.

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. Scan, not verified.
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.

ModelPer sessionOnce invoked
Fable 5 $0.00983 $0.00983
Opus 5 $0.00491 $0.00491
Sonnet 5 $0.00197 $0.00197
Haiku 4.5 $0.00098 $0.00098

Measured yesterday against content hash c27c2d713a2d, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, 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 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.

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.

  1. yesterday 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 6mo ago), licensed MIT. It adds 983 tokens to every session, about $0.0049 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 2026-08-31.

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