classify_issue

A command that classifies a GitHub issue as a feature, bug, maintenance task, or unsuitable for automation.

In plain words
What is it for?
Use it when an automated process needs to choose between /feature, /bug, /chore, or no action based on an issue's contents.
Why use it?
It gives downstream workflows a consistent decision about which command should handle the issue.

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/jayminwest/kotadb/classify_issue
Clone the repo
git clone --depth 1 https://github.com/jayminwest/kotadb

Made for: Claude Code.

Per session 0 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 267 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 $0.00000 $0.00267
Opus 5 $0.00000 $0.00133
Sonnet 5 $0.00000 $0.00053
Haiku 4.5 $0.00000 $0.00027

Measured 3d ago against content hash b6147aa60781, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

classify_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 3d 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/issues/classify_issue.md · 47 lines

What it actually says

/classify_issue

Template Category: Message-Only

Based on the GitHub issue payload below, choose the correct slash command. Respond with exactly one token: /feature, /bug, /chore, or 0 if none apply.

Guidance

  • /feature: net-new capability or enhancement delivering user value.
  • /bug: incorrect behaviour, regressions, failing tests, or outages.
  • /chore: maintenance, refactors, dependency upgrades, tooling changes, docs-only work.
  • 0: insufficient info or out-of-scope for automation.

Think carefully about impact, urgency, and deliverables described in the issue before answering.

Output Schema

The output must match this pattern:

  • Type: string
  • Enum: /feature, /bug, /chore, 0
  • Format: Single line, no whitespace, no explanatory text

Correct outputs:

/feature
/bug
/chore
0

INCORRECT outputs (do NOT do this):

This issue should be classified as: /feature
Based on the issue description, I recommend /chore

GitHub Issue

$ARGUMENTS

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. 3d ago First seen · 47 lines · 0 tokens per session scan A b6147aa60781

Subscribe to this mod's changes

classify_issue is a command published in the GitHub repository jayminwest/kotadb (102 stars, last pushed 4mo ago), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 267 tokens. 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.