What is y-agent AGENTS.md?

A set of project instructions for the y-agent codebase, an AI-agent platform with a web interface, API, worker, command-line tool, and Telegram surface. It documents the architecture, packages, technology choices, and notable subsystems.

Understanding the repository structure, locating package responsibilities, and following the project’s architecture and development conventions.

It gives a coding agent the project-specific context needed to make changes that fit the existing system.

How luohy15/y-agent configures Codex and OpenCode

Reuse

Borrowing it

Nothing to install: this file belongs to luohy15/y-agent. 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/luohy15/y-agent/main/AGENTS.md

Clone the repo

git clone --depth 1 https://github.com/luohy15/y-agent

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/luohy15/y-agent/agents-md/github.svg)](https://agentmods.dev/instructions/luohy15/y-agent/agents-md)

Your own site

<a href="https://agentmods.dev/instructions/luohy15/y-agent/agents-md"><img src="https://agentmods.dev/badge/instructions/luohy15/y-agent/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/luohy15/y-agent/agents-md"><img src="https://agentmods.dev/badge/instructions/luohy15/y-agent/agents-md.svg" alt="Reviewed on agentmods" width="80" height="20"></a>

Per session 11,522 This file is loaded in full into every session.

When invoked 11,522 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	$0.11522	$0.11522
Opus 5.5	$0.04609	$0.04609
Sonnet 5.5	$0.02304	$0.02304
Haiku 4.5	$0.01152	$0.01152

Measured 9d ago against content hash ae2af2154453, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

y-agent 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 · 667 lines

How it starts

The opening of the file, as written. The whole thing — 667 lines — stays where its author put it; the contents beside it link to each section on GitHub.

y-agent

Personal AI agent platform: React web UI + FastAPI backend + async worker, deployed as AWS Lambda (SAM). Runs Claude Code subprocesses remotely on EC2 over SSH, with a Telegram bot surface and cross-skill orchestration via trace context.

Architecture

Web (React)  ─┐                                ┌─→ Claude Code subprocess (EC2, SSH)
Telegram Bot ─┼─→ API (FastAPI/Lambda) → SQS → Worker (Lambda) ─┤
CLI (y)      ─┘                                                 └─→ Post-hooks (trace, telegram, todo)

Storage (SQLAlchemy / PostgreSQL) is shared by API / Worker / CLI / admin.

Packages

UV workspace with Python members + one React frontend:

Package	Purpose	Entry
storage	ORM models, repos, services, DTOs, celery config, global config loader	`src/storage/`
agent	Claude Code runner, SSH/EC2 pool, tool shims, skills discovery	`src/agent/claude_code.py`, `src/agent/detach.py`
api	FastAPI REST + SSE, JWT auth, controllers for each feature	`src/api/app.py` (port 8001)
worker	Celery/SQS task consumer, runs agent subprocesses, post-hooks, RSS pipeline	`src/worker/runner.py`
cli	Click CLI (`y` command), all feature subcommands	`src/yagent/command_option.py`
admin	Lambda handler for DB init + scheduled jobs (reminders, RSS)	`handler.py`
web	React 19 + Vite + TailwindCSS SPA	`src/main.tsx` (port 5174)

Other top-level dirs: scripts/ (deploy, DNS, IAM), template.yaml / samconfig.toml (SAM), worktree/post-create.sh (symlink shared files into new dev worktrees).

Tech Stack

Python 3.11+, UV workspace, Hatchling build
FastAPI + Uvicorn + SSE (sse-starlette) + Lambda Web Adapter (response streaming)
SQLAlchemy 2.0 + PostgreSQL (psycopg v3), DynamoDB (per-process lease cache)
Celery 5.3 (filesystem broker local, SQS in prod)
React 19 + React Router 7 + Vite 7 + TailwindCSS 4 + SWR
AWS SAM: Lambda (API / Worker / Admin), SQS, S3 + CloudFront (web + link/RSS content), EventBridge schedules (reminders, RSS), DynamoDB
Integrations: Telegram Bot API, Google OAuth, SSH/Paramiko, EC2 lifecycle (boto3), oxylabs (WeChat / generic pages), yt-dlp (YouTube), Jina AI reader (Twitter/X)

Read the full file on GitHub · 667 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.

9d ago Changed · +13 lines · +258 tokens per session ae2af2154453
12d ago Changed · +6 lines · +153 tokens per session 679203c22573
14d ago Changed · +7 lines · +108 tokens per session 1bf3b7e27726
15d ago Changed · +1 lines · +27 tokens per session c56fa947601c
25d ago Changed · +36 lines · +744 tokens per session ab0c2613a7da
26d ago Changed · +16 lines · +334 tokens per session f6eb1bc6c12a
28d ago Changed · +8 lines · +158 tokens per session 6d39a1857090
1mo ago Changed · +9 tokens per session 1ca6329c53b5
1mo ago Changed · +20 lines · +422 tokens per session 64cd6e81904a
1mo ago First seen · 560 lines · 9,309 tokens per session scan A 55f2b0e1b1ee

Subscribe to this mod's changes

y-agent AGENTS.md is an instructions file published in the GitHub repository luohy15/y-agent (220 stars, last pushed today), licensed MIT. It adds 11,522 tokens to every session, about $0.0461 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.

vscode buildNext.instructions.md

Working notes and architecture documentation for the new esbuild-based build system in build/next. Use when making changes to the new build pipeline (transpile/bundle commands, NLS plugin, source-map handling, resource copying, or self-hosting watch tasks).

microsoft/vscode · 9,715 tokens

y-agent: Instructions file for Codex

Borrowing it

Wrote this? Show the measurements

What it costs to keep this loaded

Grade A, and why

Nothing flagged

How it starts

y-agent

Architecture

Packages

Tech Stack

What this file has done since we first saw it

Other instructions, from other repositories

vscode buildNext.instructions.md

next.js AGENTS.md

vscode oss-third-party-notices.instructions.md

langchain AGENTS.md

vscode copilot-instructions.md

deno copilot-instructions.md