gh

A skill for using GitHub CLI, a terminal program for working with GitHub repositories, issues, and pull requests.

In plain words
What is it for?
Use it to inspect repositories, create or manage issues, and create or manage pull requests with the gh command.
Why use it?
It gives an AI agent instructions for checking GitHub CLI installation, signing in, and carrying out common GitHub tasks from the command line.

Skill for Claude CodeCodex

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 skills/dep/agent-rules/gh
Any agent
npx skills add dep/agent-rules --skill gh
Clone the repo
git clone --depth 1 https://github.com/dep/agent-rules

Made for: Claude Code, Codex.

Per session 31 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 246 The whole file, excluding the scripts and references it only reads on demand.
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 $0.00031 $0.00246
Opus 5 $0.00015 $0.00123
Sonnet 5 $0.00006 $0.00049
Haiku 4.5 $0.00003 $0.00025

Measured 2d ago against content hash 63654ba84a64, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

gh 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/skills/gh/SKILL.md · 60 lines

What it actually says

Github Skill using gh (Command Line Interface)

Overview

Utilize Github Command Line Interface (CLI) to effortlessly engage with our suite of products through a streamlined command-line interface. Github CLI provides a powerful toolset that allows users to automate tasks, integrate processes, and interact with various Github products such as Github, all from the comfort of your terminal.

Options

gh --help

Getting Started

Check to see if gh is installed:

gh --version

It not installed, install it:

brew install gh

It installed, verify it:

gh --version

Authenticating to Github

To connect to your Github account, you need to authenticate.

Check if you are already authenticated:

gh auth status

If you are not authenticated, authenticate:

gh auth login -h "GitHub.com"

Usage

gh --help
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 · 60 lines · 31 tokens per session scan A 63654ba84a64

Subscribe to this mod's changes

gh is a skill published in the GitHub repository dep/agent-rules (11 stars, last pushed 2mo ago), licensed MIT. It adds 31 tokens to every session and 246 once invoked, about $0.0002 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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