vscode: Command for Claude Code

.github/prompts/issue-grouping.prompt.md

issue-grouping is a command for Claude Code, GitHub Copilot from microsoft/vscode. It costs 4 tokens per session (355 once invoked), scanned A, original, MIT.

Group similar issues.

Command for Claude CodeGitHub Copilot ✓ vendor

Written for Claude Code and GitHub Copilot: argument-hint in frontmatter, but also a Copilot chat mode or prompt. Also seen: model in frontmatter; mentions subagents; Copilot chat-mode frontmatter (tools: vscode/*).

This is microsoft/vscode's own configuration. It tells Claude Code and GitHub Copilot how to work on vscode 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 vscode configures →

About the project

Visual Studio Code is a code editor that supports editing, navigating, understanding, debugging, and extending software projects. Developers use it for the edit-build-debug cycle, and the catalogue add-ons provide skills, instructions, and agents for working within the editor.

microsoft/vscode · 190,932 stars · on GitHub · code.visualstudio.com

Reuse

Borrowing it

Nothing to install: this file belongs to microsoft/vscode. 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/microsoft/vscode/main/.github/prompts/issue-grouping.prompt.md
Clone the repo
git clone --depth 1 https://github.com/microsoft/vscode

Made for: Claude Code, GitHub Copilot.

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 issue-grouping

README.md
[![agentmods](https://agentmods.dev/badge/commands/microsoft/vscode/issue-grouping.svg)](https://agentmods.dev/commands/microsoft/vscode/issue-grouping)
Your own site
<a href="https://agentmods.dev/commands/microsoft/vscode/issue-grouping"><img src="https://agentmods.dev/badge/commands/microsoft/vscode/issue-grouping.svg" alt="Measured on agentmods" height="20"></a>
Per session 4 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 355 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
Origin unknown 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 $0.00004 $0.00355
Opus 5 $0.00002 $0.00178
Sonnet 5 $0.00001 $0.00071
Haiku 4.5 $0.00000 $0.00036

Measured today against content hash cfccf311841a, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-06, from the pricing page.

Security

Grade A, and why

issue-grouping 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 today.

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/prompts/issue-grouping.prompt.md · 23 lines

What it actually says

Your Task

  1. Use a subagent to: a. Using the GitHub MCP server, fetch only one page (50 per page) of the open issues for the given assignee and label in the vscode repository. b. After fetching a single page, look through the issues and see if there are are any good grouping categories.Output the categories as headers to a local file categorized-issues.md. Do NOT fetch more issue pages yet, make sure to write the categories to the file first.
  2. Repeat step 1 (sequentially, don't parallelize) until all pages are fetched and categories are written to the file.
  3. Use a subagent to Re-fetch only one page of the issues for the given assignee and label in the vscode repository. Write each issue into the categorized-issues.md file under the appropriate category header with a link and the number of upvotes. If an issue doesn't fit into any category, put it under an "Other" category.
  4. Repeat step 3 (sequentially, don't parallelize) until all pages are fetched and all issues are written to the file.
  5. Within each category, sort the issues by number of upvotes in descending order.
  6. Show the categorized-issues.md file as the final output.
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. today First seen · 23 lines · 4 tokens per session scan A cfccf311841a

Subscribe to this mod's changes

issue-grouping is a command published in the GitHub repository microsoft/vscode (190,932 stars, last pushed today), licensed MIT. It adds 4 tokens to every session and 355 once invoked, about $0.0000 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 2026-09-06.