What is ai-coding-agents-rules AGENTS.md?

A repository-level instruction file for AI coding agents working on full-stack projects. It defines response formatting, working priorities, clarification rules, and language-specific file requirements.

Use it to define agent responses, coding priorities, clarification behavior, project-versus-global instruction rules, and required headers or conventions for JavaScript, TypeScript, Java, and CSS.

It gives agents consistent behavior across repositories and establishes what to do when global instructions conflict with project-specific ones. It also sets expectations around correctness, simplicity, security, and maintainability.

How jinglinsen/ai-coding-agents-rules configures Codex and OpenCode

Reuse

Borrowing it

Nothing to install: this file belongs to jinglinsen/ai-coding-agents-rules. 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/jinglinsen/ai-coding-agents-rules/main/AGENTS.md

Clone the repo

git clone --depth 1 https://github.com/jinglinsen/ai-coding-agents-rules

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/jinglinsen/ai-coding-agents-rules/agents-md/github.svg)](https://agentmods.dev/instructions/jinglinsen/ai-coding-agents-rules/agents-md)

Your own site

<a href="https://agentmods.dev/instructions/jinglinsen/ai-coding-agents-rules/agents-md"><img src="https://agentmods.dev/badge/instructions/jinglinsen/ai-coding-agents-rules/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/jinglinsen/ai-coding-agents-rules/agents-md"><img src="https://agentmods.dev/badge/instructions/jinglinsen/ai-coding-agents-rules/agents-md.svg" alt="Reviewed on agentmods" width="80" height="20"></a>

Per session 3,554 This file is loaded in full into every session.

When invoked 3,554 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	$0.03554	$0.03554
Opus 5.5	$0.01422	$0.01422
Sonnet 5.5	$0.00711	$0.00711
Haiku 4.5	$0.00355	$0.00355

Measured 2mo ago against content hash 071e5b24eda3, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

ai-coding-agents-rules 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 · 598 lines

How it starts

The opening of the file, as written. The whole thing — 598 lines — stays where its author put it; the contents beside it link to each section on GitHub.

/**

Author: Lin Sen
Contact: [email protected]
GitHub: https://github.com/jinglinsen
Created: 2026-06-29
Description: Global coding-agent instructions for full-stack AI-assisted development.
Copyright (c) 2026 Lin Sen. All rights reserved. */

AGENTS.md

This file defines my global working rules for AI coding agents.

These instructions apply to all repositories unless a project-level AGENTS.md provides more specific rules.

If global instructions conflict with project-level instructions, follow the project-level instructions.

1. Response Rule

After understanding each requirement, start every response with exactly:

明白了，大佬

Do not skip this unless the user explicitly requests another response style.

2. Role and Working Style

Act as a senior full-stack AI coding engineer.

Default priorities:

Correctness
Simplicity
Maintainability
Security
Performance
Developer experience

Do not over-engineer. Prefer the smallest clear solution that satisfies the requirement.

When a requirement is unclear, ask a focused clarification question before coding.

If the intent is clear and the risk is low, proceed with a reasonable assumption and state it.

3. File Header Requirement

Every newly created file must include the following header before the actual code or content begins:

/**
 * Author: Lin Sen
 * Contact: [email protected]
 * GitHub: https://github.com/jinglinsen
 * Created: [Creation Date]
 * Description: [File Purpose]
 *
 * Copyright (c) 2026 Lin Sen. All rights reserved.
 */

Rules:

Replace [Creation Date] with the actual creation date.
Replace [File Purpose] with a concise description of the file.
Adapt the header to the correct comment style for the file type.
Do not place executable code before the header.
Do not remove existing headers unless explicitly asked.
When editing an existing file without a header, do not add one unless the task involves creating or restructuring that file.

Read the full file on GitHub · 598 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.

2mo ago First seen · 598 lines · 3,554 tokens per session scan A 071e5b24eda3

Subscribe to this mod's changes

ai-coding-agents-rules AGENTS.md is an instructions file published in the GitHub repository jinglinsen/ai-coding-agents-rules (2 stars, last pushed 4mo ago), licensed Apache-2.0. It adds 3,554 tokens to every session, about $0.0142 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.

Building agents

ai-coding-agents-rules AGENTS.md next to 6 instructions from other repositories
Mod	Type	Stars	Last push	Licence	Scan	Tokens	Works with
ai-coding-agents-rules AGENTS.mdjinglinsen/ai-coding-agents-rules	Instructions file	2	4mo ago	Apache-2.0	A	3,554	Codex, OpenCode
vscode buildNext.instructions.mdmicrosoft/vscode	Instructions file	195k	today	MIT	A	9,719	GitHub Copilot
vscode oss-third-party-notices.instructions.mdmicrosoft/vscode	Instructions file	195k	today	MIT	A	5,516	GitHub Copilot
next.js AGENTS.mdvercel/next.js	Instructions file	143k	today	MIT	A	7,461	Codex, OpenCode
langchain AGENTS.mdlangchain-ai/langchain	Instructions file	149k	today	MIT	A	4,680	Codex, OpenCode
vscode copilot-instructions.mdmicrosoft/vscode	Instructions file	195k	today	MIT	A	3,093	GitHub Copilot
vscode model-prompts.instructions.mdmicrosoft/vscode	Instructions file	195k	today	MIT	A	2,022	GitHub Copilot

ai-coding-agents-rules: Instructions file for Codex