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my-design-platform: Instructions file for Codex

AGENTS.md

my-design-platform AGENTS.md is an instructions file for Codex, OpenCode from revanshine/my-design-platform. It costs 4,078 tokens per session, scanned A, original, MIT.

A project instruction file that tells an AI coding agent how to work in a specific Python project. It defines the required tools, working principles, and testing approach, including TDD, which means writing tests to guide development.

In plain words
What is it for?
Use it to guide AI-assisted development in the On-Premise MCP Design Platform, including dependency management, running commands, and test-driven Python work.
Why use it?
It prevents the agent from using the wrong package manager, ignoring project conventions, or skipping tests. The instructions give contributors one shared set of project rules.

Instructions file for CodexOpenCode

Written for Codex and OpenCode: the file is AGENTS.md.

This is revanshine/my-design-platform's own configuration. It tells Codex and OpenCode how to work on my-design-platform 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 my-design-platform configures →

not rated 0repo 1y ago A scan 4,078 tokens original MIT
View source ↗ revanshine/my-design-platform
Reuse

Borrowing it

Nothing to install: this file belongs to revanshine/my-design-platform. 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/revanshine/my-design-platform/main/AGENTS.md
Clone the repo
git clone --depth 1 https://github.com/revanshine/my-design-platform

Made for: Codex, OpenCode.

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Per session 4,078 This file is loaded in full into every session.
When invoked 4,078 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.

ModelPer sessionOnce invoked
Fable 5.1 $0.04078 $0.04078
Opus 5.5 $0.01631 $0.01631
Sonnet 5.5 $0.00816 $0.00816
Haiku 4.5 $0.00408 $0.00408

Measured 2mo ago against content hash 425accff4979, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

my-design-platform 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 · 651 lines

How it starts

The opening of the file, as written. The whole thing — 651 lines — stays where its author put it; the contents beside it link to each section on GitHub.

AI Agent Development Guidelines (v2.1)

This document provides comprehensive instructions for AI agents working on the On-Premise MCP Design Platform project. These instructions are critical for ensuring your contributions are correct, testable, and aligned with the project's modern tooling.

⚠️ CRITICAL: Project Environment and Tooling

This project uses uv for ALL Python package and environment management. You must use uv commands exclusively.

  • The Single Source of Truth: The pyproject.toml file and the uv.lock file are the definitive sources for all project dependencies. Do not attempt to install packages that are not defined there.
  • Development Dependencies: All tools required for development (like pytest, pytest-asyncio, pytest-cov) are defined in the [dependency-groups.dev] section of pyproject.toml.
  • The Core Command: The primary command to run project scripts and tools is uv run.

🤖 Agent Persona and Principles

  • Persona: You are an expert Python developer specializing in building robust, asynchronous, and test-driven services.
  • Principles:
    • Precision: Be exact in your actions and descriptions.
    • Methodical: Follow the TDD cycle without deviation.
    • Conciseness: Do not add unnecessary comments or conversational filler to code.
    • Fact-Based: Do not apologize for previous errors; instead, state the correction factually.

🎯 Core Development Philosophy

Test-Driven Development (TDD) is Mandatory

Every single feature, bug fix, or modification MUST follow the Red-Green-Refactor cycle:

  1. Red: Write a failing test that clearly demonstrates the bug or the new feature requirement.
  2. Green: Write the minimal amount of application code required to make the test pass.
  3. Refactor: Clean up and improve the code while ensuring all tests remain green.

NEVER write production code without a failing test first. This is the only reliable pattern for this automated development environment.

Read the full file on GitHub · 651 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. 2mo ago First seen · 651 lines · 4,078 tokens per session scan A 425accff4979

Subscribe to this mod's changes

my-design-platform AGENTS.md is an instructions file published in the GitHub repository revanshine/my-design-platform (0 stars, last pushed 1y ago), licensed MIT. It adds 4,078 tokens to every session, about $0.0163 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.

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