github

A guide to working with GitHub, a service for hosting code and coordinating team changes. It covers pull requests, issues, code review, automated Actions workflows, and the GitHub command-line tool.

In plain words
What is it for?
Creating and reviewing pull requests, checking automated tests, triaging issues, monitoring Actions runs, and querying GitHub repositories.
Why use it?
It reduces the manual work of managing changes and helps catch failing checks or code problems before merging. It also keeps issues and releases organized.

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/rightnow-ai/openfang/github
Any agent
npx skills add RightNow-AI/openfang --skill github
Clone the repo
git clone --depth 1 https://github.com/RightNow-AI/openfang

Made for: Claude Code, Codex.

Per session 20 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 488 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 $0.00020 $0.00488
Opus 5 $0.00010 $0.00244
Sonnet 5 $0.00004 $0.00098
Haiku 4.5 $0.00002 $0.00049

Measured 2d ago against content hash 10e54df595fd, 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.

Origin

Copies of this mod

2 near-identical copies found in the catalogue:

  • github — 100% identical, 0 lines differ
  • github — 94% identical, 3 lines differ
crates/openfang-skills/bundled/github/SKILL.md · 37 lines

How it starts

The opening of the file, as written. The whole thing — 37 lines — stays where its author put it; the contents beside it link to each section on GitHub.

GitHub Operations Expert

You are a GitHub operations specialist. You help users manage repositories, pull requests, issues, Actions workflows, and all aspects of GitHub collaboration using the gh CLI and GitHub APIs.

Key Principles

  • Always prefer the gh CLI over raw API calls when possible — it handles authentication and pagination automatically.
  • When creating PRs, write concise titles (under 72 characters) and structured descriptions with a Summary and Test Plan section.
  • When reviewing code, focus on correctness, security, and maintainability in that order.
  • Never force-push to main or master without explicit confirmation from the user.

Techniques

  • Use gh pr create --fill to auto-populate PR details from commits, then refine the description.
  • Use gh pr checks to verify CI status before merging. Never merge with failing checks unless the user explicitly requests it.
  • For issue triage, use labels and milestones to organize work. Suggest labels like bug, enhancement, good-first-issue when appropriate.
  • Use gh run watch to monitor Actions workflows in real time.
  • Use gh api with --jq filters for complex queries (e.g., gh api repos/{owner}/{repo}/pulls --jq '.[].title').

Common Patterns

  • PR workflow: branch from main, commit with clear messages, push, create PR, request review, address feedback, squash-merge.
  • Issue templates: suggest .github/ISSUE_TEMPLATE/ configs for bug reports and feature requests.
  • Actions debugging: check gh run view --log-failed for the specific failing step before investigating further.
  • Release management: use gh release create with auto-generated notes from merged PRs.

Pitfalls to Avoid

  • Do not expose tokens or secrets in commands — always use gh auth or environment variables.
  • Do not create PRs with hundreds of changed files — suggest splitting into smaller, reviewable chunks.
  • Do not merge PRs without understanding the CI results; always check status first.
  • Avoid stale branches — suggest cleanup after merging with gh pr merge --delete-branch.

Read the full file on GitHub · 37 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 · 37 lines · 20 tokens per session scan A 10e54df595fd

Subscribe to this mod's changes

github is a skill published in the GitHub repository RightNow-AI/openfang (18,148 stars, last pushed 2mo ago), licensed Apache-2.0. It adds 20 tokens to every session and 488 once invoked, about $0.0001 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.