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.
curl -O https://raw.githubusercontent.com/HyunjunJeon/FastCampus_mcp_a2a_workflow_project/main/AGENTS.mdgit clone --depth 1 https://github.com/HyunjunJeon/FastCampus_mcp_a2a_workflow_projectWrote 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.
[](https://agentmods.dev/instructions/hyunjunjeon/fastcampus_mcp_a2a_workflow_project/agents-md)<a href="https://agentmods.dev/instructions/hyunjunjeon/fastcampus_mcp_a2a_workflow_project/agents-md"><img src="https://agentmods.dev/badge/instructions/hyunjunjeon/fastcampus_mcp_a2a_workflow_project/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.
<a href="https://agentmods.dev/instructions/hyunjunjeon/fastcampus_mcp_a2a_workflow_project/agents-md"><img src="https://agentmods.dev/badge/instructions/hyunjunjeon/fastcampus_mcp_a2a_workflow_project/agents-md.svg" alt="Reviewed on agentmods" width="80" height="20"></a>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 | $0.00583 | $0.00583 |
| Opus 5.5 | $0.00233 | $0.00233 |
| Sonnet 5.5 | $0.00117 | $0.00117 |
| Haiku 4.5 | $0.00058 | $0.00058 |
Grade A, and why
FastCampus_mcp_a2a_workflow_project AGENTS.md scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 2mo ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
How it starts
The opening of the file, as written. The whole thing — 45 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Repository Guidelines
Project Structure & Module Organization
src/holds the core Python agents and shared utilities (src/agents/,src/base/,src/a2a_integration/,src/mcp_config_module/).docs/andexamples/contain reference material and sample workflows.docker/,docker-compose-full.yml, and1-run-docker.shmanage the containerized stack.a2a-inspector/(UI/backend) andmem0/(OpenMemory MCP/UI) are standalone subprojects with their own tooling.
Build, Test, and Development Commands
Use uv for dependency management (Python 3.12):
./setup.sh
uv sync --dev
export PYTHONPATH="${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); runruff formatbefore committing. - Use type hints consistently and prefer async/await for I/O.
- Naming: modules and functions in
snake_case, classes inPascalCase, agent modules undersrc/agents/<agent_name>/. - No emojis in documentation, comments, or commit messages.
Testing Guidelines
pytestis configured inpyproject.toml; no global coverage threshold is defined.- New tests should live under
tests/withtest_*.pyor*_test.pynames. - 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.lockwhen 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/frontendchanges.
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 · 45 lines · 583 tokens per session scan A f84d4df02ef8
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 10mo ago), licensed MIT. It adds 583 tokens to every session, about $0.0023 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.
FastCampus_mcp_a2a_workflow_project AGENTS.md compared with instructions from other repositories
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|---|---|---|---|---|---|---|---|
| FastCampus_mcp_a2a_workflow_project AGENTS.mdHyunjunJeon/FastCampus_mcp_a2a_workflow_project | Instructions file | 5 | 10mo ago | MIT | A | 583 | Codex, OpenCode |
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