github

A skill for working with GitHub repositories, which host source code and collaboration history, through the GitHub command-line tool and Git workflows. It covers authentication, remotes, pushes, and repository creation.

In plain words
What is it for?
Use it to inspect or configure GitHub access, create repositories, add remotes, push code, and complete routine repository workflows.
Why use it?
It reduces setup work while keeping credentials private and reusing an existing login when possible.

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

Made for: Claude Code, Codex.

Per session 30 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 2,264 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 $0.00030 $0.02264
Opus 5 $0.00015 $0.01132
Sonnet 5 $0.00006 $0.00453
Haiku 4.5 $0.00003 $0.00226

Measured 2d ago against content hash 197e6e2caff9, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

github 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.

skills/github/SKILL.md · 300 lines

How it starts

The opening of the file, as written. The whole thing — 300 lines — stays where its author put it; the contents beside it link to each section on GitHub.

GitHub

Overview

Prefer gh for all GitHub operations. The default goal is to complete the full GitHub flow with the least possible user effort: detect existing authentication first, reuse it if available, and only ask the user for the smallest missing step.

Never ask the user to manually perform a long GitHub setup if the agent can check, reuse, or finish it directly.

Core Rules

  • Prefer gh over raw GitHub API calls.
  • Prefer existing authenticated state over asking for new credentials.
  • Prefer non-interactive checks before prompting the user.
  • Prefer the smallest unblock request:
    • paste a one-time code
    • confirm browser login
    • provide a PAT
    • confirm repository visibility
  • Do not ask the user to manually create the repository if gh can do it.
  • Do not ask the user to manually add remotes, initialize Git, or push if the agent can do it.
  • Never print, echo, log, summarize, or restate secrets.
  • Never store secrets in files, commits, repo config, docs, examples, or chat summaries.
  • Never switch credential strategy unless the current one actually fails.

Interactive login driving rules

When using gh auth login through a shell session, do not assume the browser login step has started after the first prompt or after sending one key.

You must continue driving the interactive flow until there is explicit evidence of one of these states:

  1. GitHub CLI has clearly started browser/device authentication
  2. GitHub CLI is explicitly waiting for the user to complete external authentication
  3. GitHub CLI reports that authentication succeeded
  4. GitHub CLI reports a real error and cannot continue

While driving the login flow:

  • keep polling the session after each input
  • handle intermediate prompts such as protocol selection, SSH/HTTPS choice, credential helper confirmation, browser/device flow confirmation, or similar setup questions
  • use minimal inputs such as enter, arrow keys, y, n, or short submitted text as needed
  • do not stop after only one successful prompt response
  • do not tell the user that the browser has opened unless the command output explicitly indicates that a browser login or web flow has started
  • do not tell the user that login is complete unless the command output explicitly indicates success

Read the full file on GitHub · 300 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 · 300 lines · 30 tokens per session scan A 197e6e2caff9

Subscribe to this mod's changes

github is a skill published in the GitHub repository the-open-agent/openagent (5,592 stars, last pushed 12d ago), licensed Apache-2.0. It adds 30 tokens to every session and 2,264 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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