junie-training AGENTS.md

junie-training AGENTS.md is an instructions file for Codex, OpenCode from kousen/junie-training. It costs 1,253 tokens per session, scanned A, original, MIT.

A project instruction file for coding agents working in the Junie training repository. It also sets guidelines for creating clear slide presentations.

In plain words
What is it for?
Use it when an agent changes the repository or creates Slidev presentations. It covers keeping agent guidance files synchronized, slide structure, code-example length, and dark-mode readability.
Why use it?
It gives agents the project context and shared rules, reducing inconsistent edits and overcrowded training slides.

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/kousen/junie-training/agents-md
Clone the repo
git clone --depth 1 https://github.com/kousen/junie-training

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 junie-training AGENTS.md

README.md
[![agentmods](https://agentmods.dev/badge/instructions/kousen/junie-training/agents-md.svg)](https://agentmods.dev/instructions/kousen/junie-training/agents-md)
Your own site
<a href="https://agentmods.dev/instructions/kousen/junie-training/agents-md"><img src="https://agentmods.dev/badge/instructions/kousen/junie-training/agents-md.svg" alt="Measured on agentmods" height="20"></a>
Per session 1,253 This file is loaded in full into every session.
When invoked 1,253 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 $0.01253 $0.01253
Opus 5 $0.00626 $0.00626
Sonnet 5 $0.00251 $0.00251
Haiku 4.5 $0.00125 $0.00125

Measured 4d ago against content hash ff9db6eab92a, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

junie-training 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.

Origin

Copies of this mod

1 near-identical copy found in the catalogue:

AGENTS.md · 157 lines

How it starts

The opening of the file, as written. The whole thing — 157 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Project Guidelines for Coding Agents

AGENTS.md is the open, tool-agnostic guidance file read by Junie, Codex, and other coding agents. Keep it in sync with CLAUDE.md (which carries the same guidance for Claude Code). Edit both when project conventions change.

Project Context

This is a comprehensive Junie training repository for teaching JetBrains' AI coding agent across multiple IDEs, the Junie CLI, and CI/CD. The training materials were developed with AI assistance and demonstrate best practices for AI-assisted development.

Slide Presentation Best Practices

When creating or editing slides (especially in Slidev format):

One Idea Per Slide

  • Each slide should contain ONE major concept
  • Avoid the "bullet-riddled corpse" anti-pattern
  • Better to have many simple slides than few dense ones
  • ~30 focused slides work better than a dozen cramped ones

Content Guidelines

  • Maximum 5-6 bullet points per slide
  • Use progressive disclosure across multiple slides
  • Keep code examples short and focused (5-10 lines max)
  • Leave visual breathing room

Visual Design for Dark Mode

  • Use high contrast colors for text on colored backgrounds
  • Test all color combinations for readability
  • Prefer lighter text shades (e.g., #dbeafe instead of white on blue)
  • Add borders to colored boxes for definition
  • Keep Mermaid diagrams simple to avoid parsing errors

Example Structure

---
## Single Concept Title

Key point or statement

Supporting detail if needed
---

Lab Instructions Format

When creating lab instructions:

Structure

  1. Learning Objectives - Clear, measurable goals
  2. Prerequisites - Tools and knowledge required
  3. Parts - Logical progression from simple to complex
  4. Tasks - Numbered, specific actions
  5. Expected Outcomes - What success looks like
  6. Common Issues - Troubleshooting section
  7. Challenge Extensions - Optional advanced tasks
  8. Reflection Questions - Reinforce learning

Read the full file on GitHub · 157 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.

  1. 4d ago First seen · 157 lines · 1,253 tokens per session scan A ff9db6eab92a

Subscribe to this mod's changes

junie-training AGENTS.md is an instructions file published in the GitHub repository kousen/junie-training (11 stars, last pushed 1mo ago), licensed MIT. It adds 1,253 tokens to every session, about $0.0063 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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