everlingo AGENTS.md

everlingo AGENTS.md is an instructions file for Codex, OpenCode from labilezhu/everlingo. It costs 456 tokens per session, scanned A, original, MIT.

A project instruction file that tells a coding agent how to work in the Everlingo codebase, including language, testing, documentation, and change rules.

In plain words
What is it for?
Use it when asking an agent to modify this Python project, run its pytest tests, review required documents, explain its design first, and record source changes.
Why use it?
It gives the agent project-specific boundaries and avoids guessing about workflows or standards.

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/labilezhu/everlingo/agents-md
Clone the repo
git clone --depth 1 https://github.com/labilezhu/everlingo

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 everlingo AGENTS.md

README.md
[![agentmods](https://agentmods.dev/badge/instructions/labilezhu/everlingo/agents-md.svg)](https://agentmods.dev/instructions/labilezhu/everlingo/agents-md)
Your own site
<a href="https://agentmods.dev/instructions/labilezhu/everlingo/agents-md"><img src="https://agentmods.dev/badge/instructions/labilezhu/everlingo/agents-md.svg" alt="Measured on agentmods" height="20"></a>
Per session 456 This file is loaded in full into every session.
When invoked 456 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 $0.00456 $0.00456
Opus 5 $0.00228 $0.00228
Sonnet 5 $0.00091 $0.00091
Haiku 4.5 $0.00046 $0.00046

Measured 4d ago against content hash 0307ea5b4647, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

everlingo 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 · 45 lines

What it actually says

Agent Instructions

除非我强调指定你表达的语言,否则默认用中文说话。默认你 Thinking 的内容,也使用中文。

Test / lint

  • Tests: uv run pytest tests/<file>::<name> -v (单文件 / 单用例) 或 uv run pytest tests/ (全量)。
  • 项目配置 ruff / mypy / black;纯 Python + pytest 即可。变更源码后跑相关单测即可,无需跑全量。
  • venv 路径:.venv/,由 uv 自动管理;如缺失 uv sync

Before making changes, make sure read following documentations:

文档说明:

Rules

  • Generally speaking, when generate code, write tests
  • Never add dependencies without approval
  • 如发现文档说明十分模糊或矛盾的,询问确认后再执行
  • Explain your design of implmentation and let user comfirm the design before take action.
  • 如果实现和设计文档不同,询问用户是否需要更新设计文档
  • 如果实现了设计文档未提到的重要内容,询问用户是否需要更新设计文档
  • 如有重大的架构变更或技术 stack 变更、新产品 Feature ,需要记录 ADR : docs/ADR
  • If you change any source code, ALWAYS update TASKS.md to record what you have done
  • 有实现上的更新的话,按 Release Notes 编写说明 编写相关 Release Notes

Output:

  • Explain your design
  • Then generate code

Boundaries

  • 🚫 Never do: commit secrets
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 · 45 lines · 456 tokens per session scan A 0307ea5b4647

Subscribe to this mod's changes

everlingo AGENTS.md is an instructions file published in the GitHub repository labilezhu/everlingo (12 stars, last pushed 10d ago), licensed MIT. It adds 456 tokens to every session, about $0.0023 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.