FastCampus_mcp_a2a_workflow_project: Instructions file for Codex

AGENTS.md

FastCampus_mcp_a2a_workflow_project AGENTS.md is an instructions file for Codex, OpenCode from HyunjunJeon/FastCampus_mcp_a2a_workflow_project. It costs 583 tokens per session, scanned A, original, MIT.

Repository instructions for a Python project that coordinates software agents and related services. They describe the project layout, development commands, coding style, and testing rules.

In plain words
What is it for?
Use them when setting up the project, editing its Python agents and shared utilities, running linting or tests, or working with its Docker, interface, and memory-service subprojects.
Why use it?
They give an agent one place to find the project's conventions and checks, reducing guesswork when changing code. They also explain how to run the Python and Docker-based parts.

Instructions file for CodexOpenCode

Written for Codex and OpenCode: the file is AGENTS.md. Also seen: mentions CLAUDE.md.

This is HyunjunJeon/FastCampus_mcp_a2a_workflow_project's own configuration. It tells Codex and OpenCode how to work on FastCampus_mcp_a2a_workflow_project 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 FastCampus_mcp_a2a_workflow_project configures →

Reuse

Borrowing it

Nothing to install: this file belongs to HyunjunJeon/FastCampus_mcp_a2a_workflow_project. 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/HyunjunJeon/FastCampus_mcp_a2a_workflow_project/main/AGENTS.md
Clone the repo
git clone --depth 1 https://github.com/HyunjunJeon/FastCampus_mcp_a2a_workflow_project

Made for: Codex, OpenCode.

Wrote this? Show the measurements

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Per session 583 This file is loaded in full into every session.
When invoked 583 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 $0.00583 $0.00583
Opus 5 $0.00292 $0.00292
Sonnet 5 $0.00117 $0.00117
Haiku 4.5 $0.00058 $0.00058

Measured 9d ago against content hash f84d4df02ef8, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-09, from the pricing page.

Security

Grade A, and why

FastCampus_mcp_a2a_workflow_project 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 9d 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 · 45 lines

How it starts

The opening of the file, as written. The whole thing — 45 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Repository Guidelines

Project Structure & Module Organization

  • src/ holds the core Python agents and shared utilities (src/agents/, src/base/, src/a2a_integration/, src/mcp_config_module/).
  • docs/ and examples/ contain reference material and sample workflows.
  • docker/, docker-compose-full.yml, and 1-run-docker.sh manage the containerized stack.
  • a2a-inspector/ (UI/backend) and mem0/ (OpenMemory MCP/UI) are standalone subprojects with their own tooling.

Build, Test, and Development Commands

Use uv for dependency management (Python 3.12):

./setup.sh
uv sync --dev
export PYTHONPATH="${PWD}/src"
uv run python -m src.agents.supervisor
./1-run-docker.sh start
uv run ruff check src/
uv run ruff format src/
uv run pytest

./1-run-docker.sh handles full Docker orchestration; docker compose -f docker-compose-full.yml up -d --build is the direct alternative.

Coding Style & Naming Conventions

  • Python: 4-space indentation, 80-character lines, Google-style docstrings.
  • Formatting and linting via Ruff (.ruff.toml); run ruff format before committing.
  • Use type hints consistently and prefer async/await for I/O.
  • Naming: modules and functions in snake_case, classes in PascalCase, agent modules under src/agents/<agent_name>/.
  • No emojis in documentation, comments, or commit messages.

Testing Guidelines

  • pytest is configured in pyproject.toml; no global coverage threshold is defined.
  • New tests should live under tests/ with test_*.py or *_test.py names.
  • Optional coverage run: uv run pytest --cov=src tests/.

Commit & Pull Request Guidelines

  • Recent commits mix chore:-style prefixes and plain summaries; follow the existing pattern for similar changes.
  • Keep commits scoped and update uv.lock when dependencies change.
  • PRs should include a short description, how to run or verify, and any required env vars or Docker services. Include UI screenshots for a2a-inspector/frontend changes.

Read the full file on GitHub · 45 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. 9d ago First seen · 45 lines · 583 tokens per session scan A f84d4df02ef8

Subscribe to this mod's changes

FastCampus_mcp_a2a_workflow_project AGENTS.md is an instructions file published in the GitHub repository HyunjunJeon/FastCampus_mcp_a2a_workflow_project (5 stars, last pushed 8mo ago), licensed MIT. It adds 583 tokens to every session, about $0.0029 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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