A guide for using the GitHub command-line tool, called gh, to manage repositories and development work from a terminal. It covers issues, pull requests, code search, automated workflows, and related repository actions.

Use it to list, view, create, comment on, or close issues; inspect and manage pull requests; search code or repositories; and check GitHub Actions runs.

It puts common GitHub tasks into repeatable terminal commands instead of requiring manual navigation through the website. This is useful for checking work, reviewing changes, and managing project discussions.

github — Skill by Supersynergy

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/supersynergy/awesome-agentic-coding/github

Any agent

npx skills add Supersynergy/awesome-agentic-coding --skill github

Clone the repo

git clone --depth 1 https://github.com/Supersynergy/awesome-agentic-coding

Made for: Claude Code, Codex.

Per session 37 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.

When invoked 487 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.

Model	Per session	Once invoked
Fable 5	$0.00037	$0.00487
Opus 5	$0.00018	$0.00244
Sonnet 5	$0.00007	$0.00097
Haiku 4.5	$0.00004	$0.00049

Measured yesterday against content hash 95f36fa63949, 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 yesterday.

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 · 62 lines

What it actually says

GitHub CLI Operations

Execute GitHub operations using the gh CLI for: $ARGUMENTS

Command Reference

Issues

gh issue list                              # List open issues
gh issue list --state closed --limit 10    # Recent closed
gh issue view 123                          # View issue details
gh issue create --title "..." --body "..." # Create issue
gh issue comment 123 --body "..."          # Comment
gh issue close 123                         # Close

Pull Requests

gh pr list                                 # List open PRs
gh pr view 123                             # View PR details
gh pr checks 123                           # CI status
gh pr diff 123                             # View diff
gh pr create --title "..." --body "..."    # Create PR
gh pr merge 123 --squash                   # Merge
gh pr review 123 --approve                 # Approve

Code Search

gh search code "pattern" --repo owner/repo  # Search code
gh search repos "query" --language ts       # Search repos
gh api search/code -f q="pattern+repo:org/repo" # API search

Actions / CI

gh run list                                # Recent runs
gh run view 123                            # Run details
gh run view 123 --log-failed               # Failed step logs
gh run rerun 123                           # Rerun

API (raw)

gh api repos/owner/repo/pulls/123/comments  # Any API endpoint
gh api graphql -f query='{ viewer { login }}' # GraphQL

Rules

Use --json flag for structured output when parsing is needed
Use --limit to avoid overwhelming output
For PR creation, use heredoc for body formatting
Never force-push or delete branches without user confirmation

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.

yesterday First seen · 62 lines · 37 tokens per session scan A 95f36fa63949

Subscribe to this mod's changes

github is a skill published in the GitHub repository Supersynergy/awesome-agentic-coding (1 stars, last pushed 1mo ago), licensed MIT. It adds 37 tokens to every session and 487 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 2026-08-31.

Research agentic-coding ai-coding awesome-list best-practices claude claude-code

github

Getting it into your agent

What it costs to keep this loaded

Grade A, and why

Nothing flagged

What it actually says

GitHub CLI Operations

Command Reference

Issues

Pull Requests

Code Search

Actions / CI

API (raw)

Rules

What this file has done since we first saw it

Other skills, from other repositories

aiwiki-research-refresh-privacy

aiwiki-privacy-entry-author

aiwiki-research-refresh

aiwiki-entry-author

aiwiki-translator

issue-triage