agentic_ai AGENTS.md

Project instructions for making course and lesson presentations as Obsidian Canvas files, which are visual boards made of connected cards. They define card layout, links, sizing, and the required information in each module card.

In plain words
What is it for?
Use them to build module presentations, arrange cards in sequence, connect related cards, and check that text and arrows are not crowded or cut off.
Why use it?
They keep presentations readable and make the lesson route clear when a coding agent creates or edits the canvas.

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

Made for: Codex, OpenCode.

Per session 358 This file is loaded in full into every session.
When invoked 358 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 $0.00358 $0.00358
Opus 5 $0.00179 $0.00179
Sonnet 5 $0.00072 $0.00072
Haiku 4.5 $0.00036 $0.00036

Measured 2d ago against content hash a45d0eb32c96, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

agentic_ai 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 2d 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 · 38 lines

What it actually says

AGENTS

Презентации в формате Obsidian Canvas

В этом проекте презентации для модулей и обзорных уроков делаются в формате .canvas.

Правила оформления

  1. Карточки располагаются по логике маршрута курса, обычно в шахматном порядке вниз и направо.
  2. Связи между карточками обязательны: презентация должна читаться как последовательный путь.
  3. Стороны стрелок выбираются осмысленно: верхняя карточка обычно входит в следующую карточку сверху; при диагональном переходе вправо стрелка часто выходит справа и входит сверху.
  4. Размер карточки должен соответствовать объёму контента.
  5. Текст внутри карточек не должен обрезаться.
  6. Если в карточке длинный заголовок или длинный список, нужно увеличивать width и height, а не ужимать текст.
  7. Заголовочная карточка открытого урока или модуля делается отдельно и связывается с первой смысловой карточкой.
  8. Каждая карточка модуля должна быть самодостаточной: номер модуля; название; 3-4 ключевых пункта.

Практическое правило

Перед завершением работы нужно визуально проверить:

  • не режется ли текст;
  • логично ли идут стрелки;
  • читается ли маршрут сверху вниз и слева направо или по диагонали;
  • нет ли слишком тесных карточек.
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. 2d ago First seen · 38 lines · 358 tokens per session scan A a45d0eb32c96

Subscribe to this mod's changes

agentic_ai AGENTS.md is an instructions file published in the GitHub repository sekachev/agentic_ai (20 stars, last pushed 1mo ago), licensed MIT. It adds 358 tokens to every session, about $0.0018 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.

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