gh-issues

gh-issues is a skill for Claude Code, Codex from OXI-717/ai-native-toolkit. It costs 104 tokens per session (2,026 once invoked), scanned A, a copy of gh-issues, MIT.

A command-line workflow for managing GitHub Issues, which are tasks or bug reports attached to a code project. It also stores coding-agent session context in issue comments.

In plain words
What is it for?
Use it to create and inspect issues, mark active tasks, manage labels and milestones, create branches, and save or reload task context.
Why use it?
It makes issue searching, tracking, labeling, updating, and resuming work easier from the terminal.

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/oxi-717/ai-native-toolkit/gh-issues
Any agent
npx skills add OXI-717/ai-native-toolkit --skill gh-issues
Clone the repo
git clone --depth 1 https://github.com/OXI-717/ai-native-toolkit

Made for: Claude Code, Codex.

Its marketplace also offers this one on its own, as the plugin gh-issues/plugin install gh-issues after adding the marketplace above.

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

agentmods badge for gh-issues

README.md
[![agentmods](https://agentmods.dev/badge/skills/oxi-717/ai-native-toolkit/gh-issues.svg)](https://agentmods.dev/skills/oxi-717/ai-native-toolkit/gh-issues)
Your own site
<a href="https://agentmods.dev/skills/oxi-717/ai-native-toolkit/gh-issues"><img src="https://agentmods.dev/badge/skills/oxi-717/ai-native-toolkit/gh-issues.svg" alt="Measured on agentmods" height="20"></a>
Per session 104 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 2,026 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
Origin 100% copy Near-identical to another mod 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 5.1 $0.00104 $0.02026
Opus 5 $0.00052 $0.01013
Sonnet 5 $0.00021 $0.00405
Haiku 4.5 $0.00010 $0.00203

Measured 5d ago against content hash 9d5ba645d526, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-05, from the pricing page.

Security

Grade A, and why

gh-issues 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 5d 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

This is a copy

100% identical to gh-issues — 0 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.

plugins/gh-issues/skills/gh-issues/SKILL.md · 285 lines

How it starts

The opening of the file, as written. The whole thing — 285 lines — stays where its author put it; the contents beside it link to each section on GitHub.

GitHub Issues CLI

Efficient GitHub Issues management via gh CLI with AI session context storage.

Table of Contents

  1. Quick Reference
  2. JSON Output
  3. Search Filters
  4. Bulk Operations
  5. Issue to PR Workflow
  6. Milestones
  7. AI Session Context
  8. Task Workflow
  9. Examples
  10. Common Mistakes

Quick Reference

Task Command
Create issue gh issue create -t "Title" -b "Body" -l bug -a @me
Active tasks gh issue list -l in-progress -s open
List open bugs gh issue list -l bug -s open
View as JSON gh issue view 123 --json number,title,body,labels,state
Close with comment gh issue close 123 -c "Fixed in #456"
Edit labels gh issue edit 123 --add-label priority:high
Start work gh issue edit 45 --add-label in-progress
Create branch gh issue develop 123 --checkout
Load context gh issue view 45 --json comments --jq '.comments[] | select(.body | contains("AI-CONTEXT"))'

JSON Output Patterns

Always use --json for parsing. Fields: number, title, body, state, labels, assignees, milestone, author, createdAt, updatedAt, comments, url.

gh issue view 123 --json number,title,labels,state
gh issue list --json number,title,labels --jq '.[] | select(.labels[].name == "bug")'
gh issue list -l bug --json number --jq '.[].number'

Advanced Search Filters

gh issue list --search "is:open author:username"
gh issue list --search "created:>=2026-01-01 created:<=2026-01-07"
gh issue list --search "label:bug label:priority:high"
gh issue list --search "is:open -label:wontfix"
gh issue list --search "milestone:v2.0"

Bulk Operations

gh issue edit 10 15 20 --add-label "priority:high"
gh issue close 10 15 20 -c "Duplicate of #5"
gh issue list -l needs-triage --json number --jq '.[].number' | \
  xargs -I{} gh issue edit {} --add-label reviewed

Read the full file on GitHub · 285 lines

Files

What ships with it

2 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.

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. 5d ago First seen · 285 lines · 104 tokens per session scan A 9d5ba645d526

Subscribe to this mod's changes

gh-issues is a skill published in the GitHub repository OXI-717/ai-native-toolkit (7 stars, last pushed 13d ago), licensed MIT. It adds 104 tokens to every session and 2,026 once invoked, about $0.0005 per session on Opus 5. A static security scan graded it A with 0 findings. It is 100% identical to gh-issues, differing in 0 lines, and is treated as a copy.

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

local-ai-agents

Build local-first AI agents that run entirely on a developer workstation with Microsoft Foundry Local and Qwen function-calling models. Covers Small Language Models (SLMs), the OpenAI-compatible local endpoint, sandboxed local tools, local RAG with Chroma, local MCP servers, hybrid cloud/local routing, and the…

microsoft/ai-agents-for-beginners · 200 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

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

next-partial-prefetching-adoption

Turn on Partial Prefetching in a Next.js app and work through the insights it surfaces. Use when the user wants to enable or adopt Partial Prefetching, flip the partialPrefetching flag, opt routes in with export const prefetch = 'partial', audit Link prefetch={true} behavior, preserve existing prefetched UI with…

vercel/next.js · 103 tokens

chronicle

Analyze Copilot session history for standup reports, usage tips, session search, and session reindexing. Use when the user asks for a standup, daily summary, usage tips, workflow recommendations, wants to search or find past sessions by keyword/file/PR, wants to reindex their session store, or asks about deleting…

microsoft/vscode · 72 tokens