What is create-issue?

Instructions for creating a GitHub issue in a specified repository and adding it to a specified project board.

Use it to turn a clearly defined task into a labeled GitHub issue, including chapter labels when relevant.

They ensure the issue has enough detail, the right format, and the required project placement before it is created.

create-issue — Skill for Claude Code and Codex by nerdai: Instructions for creating a GitHub issue in a specified…

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/nerdai/llm-agents-from-scratch/create-issue

Any agent

npx skills add nerdai/llm-agents-from-scratch --skill create-issue

Clone the repo

git clone --depth 1 https://github.com/nerdai/llm-agents-from-scratch

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.

README.md

[![agentmods](https://agentmods.dev/badge/skills/nerdai/llm-agents-from-scratch/create-issue.svg)](https://agentmods.dev/skills/nerdai/llm-agents-from-scratch/create-issue)

Your own site

<a href="https://agentmods.dev/skills/nerdai/llm-agents-from-scratch/create-issue"><img src="https://agentmods.dev/badge/skills/nerdai/llm-agents-from-scratch/create-issue.svg" alt="Measured on agentmods" height="20"></a>

Per session 25 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.

When invoked 665 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	$0.00025	$0.00665
Opus 5	$0.00013	$0.00332
Sonnet 5	$0.00005	$0.00133
Haiku 4.5	$0.00003	$0.00067

Measured 5d ago against content hash 3e011c15b081, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

create-issue 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.

.claude/skills/create-issue/SKILL.md · 115 lines

How it starts

The opening of the file, as written. The whole thing — 115 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Create GitHub Issue

Repo and project

Repo: nerdai/llm-agents-from-scratch
Project: #11 (owner: nerdai)

Workflow

Before doing anything, confirm you have enough information. If any of the following are unclear, ask the user before proceeding:
- What is the issue title or topic?
- What kind of issue is it? (standard, book-diagram, or other)
- Which chapter is it scoped to, if any?
- Any specific labels to apply?
Do not create the issue until you have a clear title and kind.
Identify issue details from the user's request:
- Title — concise, action-oriented
- Body — see templates below based on kind
- Labels — from user request, or infer from kind
- Chapter label — add Chapter N label if the issue is scoped to a chapter

Create the issue:

gh issue create \
  --repo nerdai/llm-agents-from-scratch \
  --title "<title>" \
  --body "<body>" \
  --label "<label>"

Add to project #11:

gh project item-add 11 --owner nerdai --url <issue-url>

If the Chapter N label doesn't exist yet, create it first:

gh label create "Chapter N" \
  --repo nerdai/llm-agents-from-scratch \
  --color 0075ca \
  --description "Chapter N — <title>"

Confirm with the issue URL.

Issue kinds

Standard issue

## Overview

<1-2 sentence summary of what needs to be done>

## Acceptance Criteria

- [ ] <criterion>
- [ ] <criterion>

## Related

<chapter, dependency, or context>

Book diagram

Title format: Diagram: <description> Label: diagram (create if it doesn't exist)

## Overview

<What this diagram communicates and where it appears in the book>

## Chapter

Chapter N — <chapter title>

## Diagram type

<UML class diagram / sequence diagram / flowchart / table / other>

## Content to show

- <element>
- <element>

## Notes

<Any layout hints, style notes, or references>

Read the full file on GitHub · 115 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.

5d ago First seen · 115 lines · 25 tokens per session scan A 3e011c15b081

Subscribe to this mod's changes

create-issue is a skill published in the GitHub repository nerdai/llm-agents-from-scratch (184 stars, last pushed 6d ago), licensed Apache-2.0. It adds 25 tokens to every session and 665 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.

Git and workflow Project management

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

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

imagegen

Generate or edit raster images when the task benefits from AI-created bitmap visuals such as photos, illustrations, textures, sprites, mockups, or transparent-background cutouts. Use when Codex should create a brand-new image, transform an existing image, or derive visual variants from references, and the output…

openai/codex · 113 tokens

chat-pet-sprite-creation

Use when creating or changing VS Code chat pet sprite art, sprite sheets, state animations, eye treatments, Stable/Insiders variants, or pet transitions under src/vs/workbench/contrib/chat/browser/widget/media/chatPet.

microsoft/vscode · 53 tokens

cpu-profile-analysis

Analyze V8/Chrome CPU profiles (.cpuprofile) and DevTools trace files (Trace-.json). Use when: profiling performance, investigating slow functions, comparing code paths, finding bottlenecks, analyzing timeToRequest, understanding call trees from sampling profiler data, analyzing layout/paint/rendering, investigating…

microsoft/vscode · 71 tokens