issue

A command that creates a structured GitHub issue from a description or from the current conversation.

In plain words
What is it for?
It is for recording bugs, enhancements, or documentation work in GitHub and returning the created issue’s link.
Why use it?
It removes the need to manually write the title, context, code references, acceptance checks, and likely labels.

Command for Claude Code

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 commands/fotoetienne/gru/issue
Clone the repo
git clone --depth 1 https://github.com/fotoetienne/gru

Made for: Claude Code.

Per session 10 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 319 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.

ModelPer sessionOnce invoked
Fable 5 $0.00010 $0.00319
Opus 5 $0.00005 $0.00160
Sonnet 5 $0.00002 $0.00064
Haiku 4.5 $0.00001 $0.00032

Measured 2d ago against content hash 929302e50488, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

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 2d 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/commands/issue.md · 32 lines

What it actually says

Create a GitHub issue using the gh CLI.

Input: $ARGUMENTS

Instructions:

  1. If the input above is provided, use it as the basis for the issue

  2. If the input is empty, infer an appropriate issue from the recent conversation context (bugs discussed, features requested, problems encountered, etc.)

  3. Create a well-structured issue with:

    • A clear, concise title (imperative mood, e.g., "Fix CORS handling" not "CORS is broken")
    • A body with:
      • Description: What needs to be done and why
      • Context: Relevant background (if applicable)
      • Code References: Include file:line references if the issue relates to specific code
      • Acceptance Criteria: How to know when it's done (if applicable)
  4. Infer appropriate labels based on context:

    • bug for defects or broken behavior
    • enhancement for new features or improvements
    • documentation for docs-related issues
    • Use --label flag(s) when creating
  5. Use gh issue create with --title, --body, and --label flags

  6. After creating, display the issue URL to the user

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. 2d ago First seen · 32 lines · 10 tokens per session scan A 929302e50488

Subscribe to this mod's changes

issue is a command published in the GitHub repository fotoetienne/gru (11 stars, last pushed 25d ago), licensed Apache-2.0. It adds 10 tokens to every session and 319 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.