gh-issue-writer

gh-issue-writer is a skill for Claude Code, Codex from tonyghiani/ai-essentials. It costs 64 tokens per session (528 once invoked), scanned A, original, MIT.

A writing guide that turns a short feature request or bug report into ready-to-copy Markdown for a GitHub issue.

In plain words
What is it for?
Use it to draft GitHub issue titles and bodies for features, bugs, and other development requests.
Why use it?
It removes the work of choosing an issue structure and writing specific acceptance criteria, without creating the issue itself.

Skill for Claude CodeCodex

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

Good fit Use it to draft GitHub issue titles and bodies for features, bugs, and other development requests.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/tonyghiani/ai-essentials/gh-issue-writer
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.

Any agent
npx skills add tonyghiani/ai-essentials --skill gh-issue-writer
Clone the repo
git clone --depth 1 https://github.com/tonyghiani/ai-essentials

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 gh-issue-writer

README.md
[![agentmods](https://agentmods.dev/badge/skills/tonyghiani/ai-essentials/gh-issue-writer/github.svg)](https://agentmods.dev/skills/tonyghiani/ai-essentials/gh-issue-writer)
Your own site
<a href="https://agentmods.dev/skills/tonyghiani/ai-essentials/gh-issue-writer"><img src="https://agentmods.dev/badge/skills/tonyghiani/ai-essentials/gh-issue-writer/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 gh-issue-writer

Your own site · 80×15
<a href="https://agentmods.dev/skills/tonyghiani/ai-essentials/gh-issue-writer"><img src="https://agentmods.dev/badge/skills/tonyghiani/ai-essentials/gh-issue-writer.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 64 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 528 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.
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 $0.00064 $0.00528
Opus 5 $0.00032 $0.00264
Sonnet 5 $0.00013 $0.00106
Haiku 4.5 $0.00006 $0.00053

Measured 10d ago against content hash 267dfd236072, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-10, from the pricing page.

Security

Grade A, and why

gh-issue-writer 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 10d 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/gh-issue-writer/SKILL.md · 54 lines

What it actually says

GitHub Issue Writer

Generate GitHub issue content in this preferred template. Output only the formatted Markdown — never call gh issue create.

Workflow

  1. Read the user's brief (feature request, bug report, or context).
  2. If the brief is too vague to produce concrete acceptance criteria, ask one round of clarifying questions before drafting.
  3. Produce the issue using the exact template below.
  4. Present the result in two parts:
    • Title (plain text, one line) — for the GitHub title field
    • Body (fenced Markdown block) — for the issue description

Template

Title (plain text, not a heading in the body):

[Area] Action-oriented and concise description

Body:

## 📓 Summary
[1-2 sentences: what is happening, why it matters, user impact.]

## ✔️ Acceptance criteria
* [Specific, measurable outcome 1]
* [Specific, measurable outcome 2]
* [Edge cases or UI/UX states if applicable]

## 💡 Implementation hints
* [Components or layers to touch — UI, API, state, tests]
* [Data model considerations — types, schemas, migrations]
* [Compact bullet points; no actual code]

Writing Rules

  • Title: [Area] prefix, then an action-oriented phrase (e.g., [Auth] Support password reset via email link).
  • Summary: 1-2 sentences. Describe observable behavior, why it matters, and user impact. No filler.
  • Acceptance criteria: Each bullet is a specific, testable outcome. Include edge cases and relevant UI states.
  • Implementation hints: High-level pointers only. Mention files, components, or schemas by name in inline code. Never write actual implementation code.
  • Tone: Professional, clear, neutral, highly technical. Focus on observable behavior.
  • Formatting: Bold for key concepts. Inline code for technical terms, field names, file names. Concrete examples in (parentheses) when helpful.
  • Keep the body concise — aim for ≤30 lines of Markdown.
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. 10d ago First seen · 54 lines · 64 tokens per session scan A 267dfd236072

Subscribe to this mod's changes

gh-issue-writer is a skill published in the GitHub repository tonyghiani/ai-essentials (7 stars, last pushed 1mo ago), licensed MIT. It adds 64 tokens to every session and 528 once invoked, about $0.0003 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.

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

insight-error-page

Write or audit an insight-kind error page for the Next.js dev overlay. Use when creating a new errors/ .mdx page, auditing an existing one, or checking that a page matches the framework fix cards. Covers page structure, title alignment, FixCard cards with Copy prompt button, code snippets, terminology verification…

vercel/next.js · 83 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