ai-switchboard: Instructions file for Codex

AGENTS.md

ai-switchboard AGENTS.md is an instructions file for Codex, OpenCode from tarunag10/ai-switchboard. It costs 428 tokens per session, scanned C, original, MIT.

Instructions for using RTK, a command-line helper that shortens common terminal output while keeping command behavior unchanged. They cover Git, file searches, tests, builds, logs, and other development commands.

In plain words
What is it for?
Use them when running repository commands, searching files, testing, linting, building, inspecting dependencies, or working with GitHub, Docker, and Kubernetes.
Why use it?
They make it easier for an AI assistant to focus on errors and relevant results when command output is large.

Instructions file for CodexOpenCode

Written for Codex and OpenCode: the file is AGENTS.md.

This is tarunag10/ai-switchboard's own configuration. It tells Codex and OpenCode how to work on ai-switchboard itself, so it is not a mod to install elsewhere. Copy it as a starting point and replace the rules that are about this project. Everything ai-switchboard configures →

Reuse

Borrowing it

Nothing to install: this file belongs to tarunag10/ai-switchboard. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.

Copy the file
curl -O https://raw.githubusercontent.com/tarunag10/ai-switchboard/main/AGENTS.md
Clone the repo
git clone --depth 1 https://github.com/tarunag10/ai-switchboard

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 ai-switchboard AGENTS.md

README.md
[![agentmods](https://agentmods.dev/badge/instructions/tarunag10/ai-switchboard/agents-md/github.svg)](https://agentmods.dev/instructions/tarunag10/ai-switchboard/agents-md)
Your own site
<a href="https://agentmods.dev/instructions/tarunag10/ai-switchboard/agents-md"><img src="https://agentmods.dev/badge/instructions/tarunag10/ai-switchboard/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.

agentmods 80×15 button for ai-switchboard AGENTS.md

Your own site · 80×15
<a href="https://agentmods.dev/instructions/tarunag10/ai-switchboard/agents-md"><img src="https://agentmods.dev/badge/instructions/tarunag10/ai-switchboard/agents-md.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 428 This file is loaded in full into every session.
When invoked 428 The same file — it is already loaded in full.
Security scan C 1 finding. A grade says what 26 rules found in the file — not that it is safe.
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 5.1 $0.00428 $0.00428
Opus 5.5 $0.00171 $0.00171
Sonnet 5.5 $0.00086 $0.00086
Haiku 4.5 $0.00043 $0.00043

Measured 2mo ago against content hash d321ef8092ae, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade C, and why

ai-switchboard AGENTS.md scanned grade C with 1 finding 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 2mo 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.

Hidden instructionshighPrompt injection

Directives inside HTML comments, invisible characters or bidirectional overrides are read by the model and not by the person reviewing the file.

<!-- headroom:rtk-instructions -->
AGENTS.md · 43 lines

What it actually says

RTK (Rust Token Killer) - Token-Optimized Commands

When running shell commands, always prefix with rtk. This reduces context usage by 60-90% with zero behavior change. If rtk has no filter for a command, it passes through unchanged — so it is always safe to use.

Key Commands

# Git (59-80% savings)
rtk git status          rtk git diff            rtk git log

# Files & Search (60-75% savings)
rtk ls <path>           rtk read <file>         rtk grep <pattern>
rtk find <pattern>      rtk diff <file>

# Test (90-99% savings) — shows failures only
rtk pytest tests/       rtk cargo test          rtk test <cmd>

# Build & Lint (80-90% savings) — shows errors only
rtk tsc                 rtk lint                rtk cargo build
rtk prettier --check    rtk mypy                rtk ruff check

# Analysis (70-90% savings)
rtk err <cmd>           rtk log <file>          rtk json <file>
rtk summary <cmd>       rtk deps                rtk env

# GitHub (26-87% savings)
rtk gh pr view <n>      rtk gh run list         rtk gh issue list

# Infrastructure (85% savings)
rtk docker ps           rtk kubectl get         rtk docker logs <c>

# Package managers (70-90% savings)
rtk pip list            rtk pnpm install        rtk npm run <script>

Rules

  • In command chains, prefix each segment: rtk git add . && rtk git commit -m "msg"
  • For debugging, use raw command without rtk prefix
  • rtk proxy <cmd> runs command without filtering but tracks usage
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. 2mo ago First seen · 43 lines · 428 tokens per session scan C d321ef8092ae

Subscribe to this mod's changes

ai-switchboard AGENTS.md is an instructions file published in the GitHub repository tarunag10/ai-switchboard (4 stars, last pushed 1mo ago), licensed MIT. It adds 428 tokens to every session, about $0.0017 per session on Opus 5.5. A static security scan graded it C with 1 finding (hidden instructions). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.

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