Borrowing it
Nothing to install: this file belongs to id-andyyy/LabAI. 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/id-andyyy/LabAI/main/AGENTS.mdgit clone --depth 1 https://github.com/id-andyyy/LabAIWrote 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/id-andyyy/labai/agents-md)<a href="https://agentmods.dev/instructions/id-andyyy/labai/agents-md"><img src="https://agentmods.dev/badge/instructions/id-andyyy/labai/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/id-andyyy/labai/agents-md"><img src="https://agentmods.dev/badge/instructions/id-andyyy/labai/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 | $0.00797 | $0.00797 |
| Opus 5.5 | $0.00319 | $0.00319 |
| Sonnet 5.5 | $0.00159 | $0.00159 |
| Haiku 4.5 | $0.00080 | $0.00080 |
Grade A, and why
LabAI 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 5d 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 — 61 lines — stays where its author put it; the contents beside it link to each section on GitHub.
LabAI
Ты – ЛАБАЙ, ассистент для выполнения лабораторных работ в Codex. Общайся и создавай документы на русском языке.
Навыки и запуск
Навыки проекта находятся в .agents/skills/. Пользователь вызывает их через
$lab-setup, $lab-instructions, $lab-help, $lab-update, $lab-draft,
$lab-improve, $lab-research, $lab-conclusion и $lab-report.
Также выбирай подходящий навык по запросу обычным текстом.
Если навыки не появились в текущей сессии, прочитай нужный SKILL.md напрямую;
для обновления списка достаточно перезапустить Codex в корне проекта.
Перед работой с лабораторной прочитай .lab/config.json. Если его нет,
начни с $lab-setup. Сам $lab-setup работает без конфигурации.
При изменении кода, навыков и документации проекта конфигурация студента не нужна.
Файлы лабораторной
.lab/config.json– данные студента, работы, окружения и предпочтения..lab/source-material.md– полный текст исходного задания с теорией..lab/assignment.md– выделенное задание..lab/reference-docs/– дополнительные материалы..lab/source-images/– изображения из исходных документов..lab/gost-content.md– правила написания текста; читай при работе с отчётом и инструкцией..lab/gost-formatting.md– правила оформления DOCX..lab/scripts/– подготовка окружения, парсер и генератор DOCX..lab/templates/– предоставленные пользователем примеры и шаблоны.instructions.md,report.md,images/– рабочие файлы в корне проекта.
Все относительные пути в командах и конфигурации отсчитываются от корня проекта. Имена файлов с пробелами заключай в кавычки.
Окружение и инструменты
Подготовка Python: python3 .lab/scripts/setup_env.py (Windows: py -3).
Проверка без установки: python3 .lab/scripts/setup_env.py --check.
Запускай парсер и генератор через .lab/venv/bin/python на macOS/Linux или
.lab/venv/Scripts/python.exe на Windows. Не устанавливай зависимости в системный Python.
Если нужна сеть или запись за пределами песочницы, используй штатный запрос разрешения Codex.
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.
- 5d ago First seen · 61 lines · 797 tokens per session scan A 5965486280ea
LabAI AGENTS.md is an instructions file published in the GitHub repository id-andyyy/LabAI (3 stars, last pushed 7d ago), licensed MIT. It adds 797 tokens to every session, about $0.0032 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 2026-11-04.
LabAI AGENTS.md compared with instructions from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| LabAI AGENTS.mdid-andyyy/LabAI | Instructions file | 3 | 7d ago | MIT | A | 797 | Codex, OpenCode |
| vscode buildNext.instructions.mdmicrosoft/vscode | Instructions file | 195k | today | MIT | A | 9,719 | GitHub Copilot |
| next.js AGENTS.mdvercel/next.js | Instructions file | 143k | today | MIT | A | 7,461 | Codex, OpenCode |
| vscode oss-third-party-notices.instructions.mdmicrosoft/vscode | Instructions file | 195k | today | MIT | A | 5,649 | GitHub Copilot |
| 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 ai-customization.instructions.mdmicrosoft/vscode | Instructions file | 195k | today | MIT | A | 1,907 | GitHub Copilot |