gh

A guide to GitHub CLI, the terminal program for working with GitHub repositories, issues, pull requests, releases, and automation.

In plain words
What is it for?
Use it to create and manage pull requests and issues, work with repositories and releases, call the GitHub API, automate tasks, and handle authentication with the gh command.
Why use it?
It explains how GitHub’s command-line workflows fit together, reducing the need to switch between the browser, Git, and separate scripts.

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/markerikson/opencode-config-example/gh
Any agent
npx skills add markerikson/opencode-config-example --skill gh
Clone the repo
git clone --depth 1 https://github.com/markerikson/opencode-config-example

Made for: Claude Code, Codex.

Per session 69 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 2,816 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 $0.00069 $0.02816
Opus 5 $0.00034 $0.01408
Sonnet 5 $0.00014 $0.00563
Haiku 4.5 $0.00007 $0.00282

Measured 2d ago against content hash 9d091a2eca62, 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.

config/skill/gh/SKILL.md · 346 lines

How it starts

The opening of the file, as written. The whole thing — 346 lines — stays where its author put it; the contents beside it link to each section on GitHub.

GitHub CLI (gh)

Overview

GitHub CLI (gh) is the official command-line tool for GitHub that brings pull requests, issues, releases, and other GitHub concepts to the terminal. This skill provides comprehensive guidance for using gh to streamline GitHub workflows, including PR management, issue tracking, repository operations, and API access.

When to Use This Skill

Invoke this skill when users:

  • Mention GitHub CLI (gh) commands or workflows
  • Ask about creating, viewing, or managing pull requests from the command line
  • Need help with GitHub issue management via CLI
  • Want to understand gh's mental model or command structure
  • Request guidance on GitHub automation or scripting
  • Ask about GitHub API access through gh
  • Need help with gh authentication or configuration
  • Request integration patterns between gh, git, and other tools (like workstack)

Core Concepts

Before providing guidance, understand these key concepts:

Three-Layer Architecture:

  1. High-Level Commands (porcelain): gh pr, gh issue, gh repo - user-friendly workflows
  2. API Access: gh api - direct REST/GraphQL access with built-in auth
  3. Git Integration: Smart repo detection from git remotes and current branch

Context Resolution:

  • gh automatically detects repository from git remotes
  • Uses current branch to infer PR context
  • Falls back to interactive selection when ambiguous

Mental Model: Think of gh as "GitHub workflows made CLI-native" - each command maps to a common GitHub workflow optimized for terminal use.

Using the Reference Documentation

When providing gh guidance, load the comprehensive reference documentation:

references/gh.md

This reference contains:

  • Complete mental model and terminology
  • Full command reference for PRs, issues, repos, releases, and more
  • Authentication and configuration patterns
  • Workflow patterns for common scenarios
  • Integration details (workstack, git, CI/CD)
  • GitHub API access patterns
  • Practical examples for daily development

Read the full file on GitHub · 346 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. 2d ago First seen · 346 lines · 69 tokens per session scan A 9d091a2eca62

Subscribe to this mod's changes

gh is a skill published in the GitHub repository markerikson/opencode-config-example (44 stars, last pushed 3mo ago), licensed MIT. It adds 69 tokens to every session and 2,816 once invoked, about $0.0003 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.

Related

Other skills, from other repositories

systematic-debugging

Use when encountering any bug, test failure, or unexpected behavior, before proposing fixes.

obra/superpowers · 21 tokens

next-cache-components-adoption

Turn on Cache Components in a Next.js app and resolve the blocking routes it surfaces. Use when the user wants to enable, adopt, or migrate to Cache Components, flip the cacheComponents flag, work through a flood of blocking-prerender / instant validation errors, run the cache-components-instant-false codemod, or…

vercel/next.js · 95 tokens

babysit-pr

Babysit a GitHub pull request after creation by continuously polling review comments, CI checks/workflow runs, and mergeability state until the PR is merged/closed or user help is required. Diagnose failures, retry likely flaky failures up to 3 times, auto-fix/push branch-related issues when appropriate, and keep…

openai/codex · 114 tokens

imagegen

Generate or edit raster images when the task benefits from AI-created bitmap visuals such as photos, illustrations, textures, sprites, mockups, or transparent-background cutouts. Use when Codex should create a brand-new image, transform an existing image, or derive visual variants from references, and the output…

openai/codex · 113 tokens

cpu-profile-analysis

Analyze V8/Chrome CPU profiles (.cpuprofile) and DevTools trace files (Trace-.json). Use when: profiling performance, investigating slow functions, comparing code paths, finding bottlenecks, analyzing timeToRequest, understanding call trees from sampling profiler data, analyzing layout/paint/rendering, investigating…

microsoft/vscode · 71 tokens

next-cache-components-optimizer

Drive a Next.js route to instant navigation by setting up an agentic loop, under Cache Components / PPR, on initial load (hard navigation) and client-side navigation (soft navigation). Encode the goal as a failing @next/playwright instant() e2e and work it to green, one verified route at a time; the shipped test then…

vercel/next.js · 170 tokens