gh-aw: Skill for Claude Code

.github/skills/github-issue-query/SKILL.md

github-issue-query is a skill for Claude Code, Codex from github/gh-aw. It costs 16 tokens per session (750 once invoked), scanned A, original, MIT.

A command-line helper for finding and filtering GitHub issues, which are tracked reports of bugs, requests, or tasks. It uses jq, a tool for selecting and reshaping JSON data.

In plain words
What is it for?
Use it to list issues, inspect their data structure, select open issues, find issues by author, or return only fields such as numbers and titles.
Why use it?
It avoids loading every issue field when you only need a small, targeted result, making issue searches easier to inspect and reuse.

Skill for Claude CodeCodex ✓ vendor

Written for no agent in particular: nothing here depends on one.

This is github/gh-aw's own configuration. It tells Claude Code and Codex how to work on gh-aw itself, so it is not a mod to install elsewhere. Copy it as a starting point and replace the rules that are about this project. Everything gh-aw configures →

About the project

GitHub Agentic Workflows is a GitHub CLI extension that lets developers define AI-assisted repository automation in Markdown and run it through GitHub Actions. It is intended for tasks requiring interpretation or reasoning, such as issue triage, pull-request review, CI investigation, documentation maintenance, and dependency analysis. The catalogue entries provide skills and agents for working with these workflows.

github/gh-aw · 5,406 stars · on GitHub · gh.io

Reuse

Borrowing it

Nothing to install: this file belongs to github/gh-aw. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.

Copy the file
curl -O https://raw.githubusercontent.com/github/gh-aw/main/.github/skills/github-issue-query/SKILL.md
Clone the repo
git clone --depth 1 https://github.com/github/gh-aw

Made for: Claude Code, Codex.

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 github-issue-query

README.md
[![agentmods](https://agentmods.dev/badge/skills/github/gh-aw/github-issue-query/github.svg)](https://agentmods.dev/skills/github/gh-aw/github-issue-query)
Your own site
<a href="https://agentmods.dev/skills/github/gh-aw/github-issue-query"><img src="https://agentmods.dev/badge/skills/github/gh-aw/github-issue-query/github.svg" alt="Measured on agentmods" height="20"></a>

Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.

agentmods 80×15 button for github-issue-query

Your own site · 80×15
<a href="https://agentmods.dev/skills/github/gh-aw/github-issue-query"><img src="https://agentmods.dev/badge/skills/github/gh-aw/github-issue-query.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 16 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 750 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe. Third-party audits
  • NVIDIA SkillSpector pass 7 Sept 2026
How audits are shown
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 5.1 $0.00016 $0.00750
Opus 5.5 $0.00006 $0.00300
Sonnet 5.5 $0.00003 $0.00150
Haiku 4.5 $0.00002 $0.00075

Measured 1mo ago against content hash d775cb8ae820, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

github-issue-query 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 1mo ago.

The scan reads SKILL.md. This mod also ships 1 executable file (query-issues.sh), listed below but not scanned — reading those needs a real analyzer, not pattern matching.

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.

.github/skills/github-issue-query/SKILL.md · 109 lines

How it starts

The opening of the file, as written. The whole thing — 109 lines — stays where its author put it; the contents beside it link to each section on GitHub.

GitHub Issue Query Skill

Query GitHub issues efficiently with built-in jq filtering.

Important: jq Parameter is Optional

The --jq parameter is optional. Without --jq, this skill returns schema and data size information instead of full data. Use this to avoid oversized responses and inspect structure before targeted queries.

Use --jq '.' to get all data, or use a more specific filter for targeted results.

Usage

Use this skill to query issues from the current repository or any specified repository.

Basic Query (Returns Schema Only)

To list issues from the current repository:

./query-issues.sh
# Returns schema and data size, not full data

Get All Data

To get all issue data:

./query-issues.sh --jq '.'

With Repository

To query a specific repository:

./query-issues.sh --repo owner/repo

With jq Filtering

Use the --jq argument to filter and transform the output:

# Get only open issues
./query-issues.sh --jq '.[] | select(.state == "OPEN")'

# Get issue numbers and titles
./query-issues.sh --jq '.[] | {number, title}'

# Get issues by a specific author
./query-issues.sh --jq '.[] | select(.author.login == "username")'

# Get issues with specific label
./query-issues.sh --jq '.[] | select(.labels | map(.name) | index("bug"))'

# Count issues by state
./query-issues.sh --jq 'group_by(.state) | map({state: .[0].state, count: length})'

Common Options

  • --state: Filter by state (open, closed, all). Default: open
  • --limit: Maximum number of issues to fetch. Default: 30
  • --repo: Repository in owner/repo format. Default: current repo
  • --jq: (Optional) jq expression for filtering/transforming output. If omitted, returns schema info

Example Queries

Find issues with many comments:

./query-issues.sh --jq '.[] | select(.comments.totalCount > 5) | {number, title, comments: .comments.totalCount}'

Get issues assigned to someone:

./query-issues.sh --jq '.[] | select(.assignees | length > 0) | {number, title, assignees: [.assignees[].login]}'

Read the full file on GitHub · 109 lines

Files

What ships with it

1 file 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. 1mo ago First seen · 109 lines · 16 tokens per session scan A d775cb8ae820

Subscribe to this mod's changes

github-issue-query is a skill published in the GitHub repository github/gh-aw (5,406 stars, last pushed today), licensed MIT. It adds 16 tokens to every session and 750 once invoked, about $0.0001 per session on Opus 5.5. 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.