JETLS.jl AGENTS.md

JETLS.jl AGENTS.md is an instructions file for Codex, OpenCode from aviatesk/JETLS.jl. It costs 1,416 tokens per session, scanned A, original, MIT.

Repository instructions for the JETLS.jl Julia project, covering code, Markdown, commit messages, and file names.

In plain words
What is it for?
Use them when editing Julia code, Markdown, changelogs, commit messages, or file names in the project.
Why use it?
They give coding agents consistent project rules and prevent unwanted automated formatting or broad style changes.

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/aviatesk/jetls.jl/agents-md
Clone the repo
git clone --depth 1 https://github.com/aviatesk/JETLS.jl

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 JETLS.jl AGENTS.md

README.md
[![agentmods](https://agentmods.dev/badge/instructions/aviatesk/jetls.jl/agents-md.svg)](https://agentmods.dev/instructions/aviatesk/jetls.jl/agents-md)
Your own site
<a href="https://agentmods.dev/instructions/aviatesk/jetls.jl/agents-md"><img src="https://agentmods.dev/badge/instructions/aviatesk/jetls.jl/agents-md.svg" alt="Measured on agentmods" height="20"></a>
Per session 1,416 This file is loaded in full into every session.
When invoked 1,416 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 $0.01416 $0.01416
Opus 5 $0.00708 $0.00708
Sonnet 5 $0.00283 $0.00283
Haiku 4.5 $0.00142 $0.00142

Measured 5d ago against content hash 4d284400fad6, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

JETLS.jl 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.

AGENTS.md · 170 lines

How it starts

The opening of the file, as written. The whole thing — 170 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Formatting

Code formatting

  • When writing Julia code, use 4 whitespaces for indentation and try to keep the maximum line length under 92 characters.
  • AI agents must not run automated formatters unless explicitly requested by a human in the current conversation. This includes file-wide or project-wide formatting commands and editor-integrated formatting tools. When editing code, preserve the surrounding formatting and make only minimal local edits. If formatting seems necessary, ask before applying it.

Markdown formatting

When writing Markdown text, use 2 whitespaces for indentation and try to keep the maximum line length under 80 characters.

  • Exception: CHANGELOG.md is exempt from line length rules since it is used for GitHub release notes, where hard line breaks disrupt rendering.
  • Additionally, prioritize simple text style and limit unnecessary decorations (e.g. **) to only truly necessary locations. This is a style that should generally be aimed for, but pay particular attention when writing Markdown.
  • Headers should use sentence case (only the first word capitalized), not title case. For example:
    • Good: ## Conclusion and alternative approaches
    • Bad: ## Conclusion And Alternative Approaches

Commit message formatting

When writing commit messages, follow the format "component: Brief summary" for the title.

In the body, write paragraphs in this order:

  1. Explain the concrete problem or user-visible limitation being fixed. If appropriate, include a small code example when it makes the issue clearer.
  2. Explain the approach used to fix the problem.
  3. Mention important caveats, follow-up work, performance notes, or test coverage when relevant.

Use backticks for code elements (function names, variables, file paths, etc.) to improve readability.

Ensure that the maximum line length never exceeds 72 characters. When referencing external GitHub PRs or issues, use proper GitHub interlinking format (e.g., "owner/repo#123" for PRs/issues). Finally, if you write code yourself, include a co-author trailer at the end of the commit message, e.g.: Co-Authored-By: GPT-5.5 <[email protected]> (adjust the model name as appropriate). However, when simply asked to write a commit message, there's no need to add that trailer.

Read the full file on GitHub · 170 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. 5d ago First seen · 170 lines · 1,416 tokens per session scan A 4d284400fad6

Subscribe to this mod's changes

JETLS.jl AGENTS.md is an instructions file published in the GitHub repository aviatesk/JETLS.jl (306 stars, last pushed yesterday), licensed MIT. It adds 1,416 tokens to every session, about $0.0071 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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