ai-localbase AGENTS.md

ai-localbase AGENTS.md is an instructions file for Codex, OpenCode from veyliss/ai-localbase. It costs 109 tokens per session, scanned A, original, MIT.

Reply-format instructions for an AI coding assistant, written in Simplified Chinese.

In plain words
What is it for?
Writing Chinese answers with headings, lists, bold conclusions, and fenced code blocks.
Why use it?
They make responses follow a consistent structure, language, and Markdown style for this project.

Instructions file for CodexOpenCode

Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

agentmods
npx agentmods add instructions/veyliss/ai-localbase/agents-md
Clone the repo
git clone --depth 1 https://github.com/veyliss/ai-localbase

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.

agentmods badge for ai-localbase AGENTS.md

README.md
[![agentmods](https://agentmods.dev/badge/instructions/veyliss/ai-localbase/agents-md.svg)](https://agentmods.dev/instructions/veyliss/ai-localbase/agents-md)
Your own site
<a href="https://agentmods.dev/instructions/veyliss/ai-localbase/agents-md"><img src="https://agentmods.dev/badge/instructions/veyliss/ai-localbase/agents-md.svg" alt="Measured on agentmods" height="20"></a>
Per session 109 This file is loaded in full into every session.
When invoked 109 The same file — it is already loaded in full.
Security scan A 0 findings. Scan, not verified.
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 $0.00109 $0.00109
Opus 5 $0.00055 $0.00055
Sonnet 5 $0.00022 $0.00022
Haiku 4.5 $0.00011 $0.00011

Measured 4d ago against content hash 30e7b4e7e019, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

ai-localbase 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 4d 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 · 11 lines

What it actually says

Agent Instructions

回复格式

  • 使用 ## / ### 标题区分主要章节与子章节
  • 关键结论使用 加粗 标注
  • 步骤类内容用有序列表(1. 2. 3.)
  • 并列要点用无序列表(-)
  • 不同主题之间用 --- 分隔线隔开
  • 代码始终用代码块包裹,并标注语言类型
  • 始终使用简体中文回复
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. 4d ago First seen · 11 lines · 109 tokens per session scan A 30e7b4e7e019

Subscribe to this mod's changes

ai-localbase AGENTS.md is an instructions file published in the GitHub repository veyliss/ai-localbase (376 stars, last pushed yesterday), licensed MIT. It adds 109 tokens to every session, about $0.0005 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 2026-08-30.