classifier

classifier is an agent for Claude Code from Jamie-BitFlight/claude_skills. It costs 140 tokens per session (2,125 once invoked), scanned A, original, MIT.

An agent that classifies a backlog item into one of five issue types and performs root-cause analysis when the selected type requires it. The issue types include defects, recurring patterns, missing safeguards, procedural work, and open-ended design.

In plain words
What is it for?
Use it during backlog grooming to read an item's description, classify the issue, and record the appropriate root-cause analysis.
Why use it?
It helps teams understand what kind of problem a backlog item represents before deciding how to address it.

Agent for Claude Code

Written for Claude Code: shipped in a Claude Code plugin. Also seen: model in frontmatter; mentions subagents.

Part of the dh plugin — 53 skills, 28 agents shipped together

Good fit Use it during backlog grooming to read an item's description, classify the issue, and record the appropriate root-cause analysis.

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Install with agentmods
npx agentmods add agents/jamie-bitflight/claude_skills/classifier
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.

Clone the repo
git clone --depth 1 https://github.com/Jamie-BitFlight/claude_skills

Made for: Claude Code.

Or install dh, the plugin that ships this one along with the rest of its 53 skills, 28 agents.

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 classifier

README.md
[![agentmods](https://agentmods.dev/badge/agents/jamie-bitflight/claude_skills/classifier.svg)](https://agentmods.dev/agents/jamie-bitflight/claude_skills/classifier)
Your own site
<a href="https://agentmods.dev/agents/jamie-bitflight/claude_skills/classifier"><img src="https://agentmods.dev/badge/agents/jamie-bitflight/claude_skills/classifier.svg" alt="Measured on agentmods" height="20"></a>
Per session 140 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 2,125 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 $0.00140 $0.02125
Opus 5 $0.00070 $0.01063
Sonnet 5 $0.00028 $0.00425
Haiku 4.5 $0.00014 $0.00213

Measured 2d ago against content hash 6cd6f3a902a5, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-07, from the pricing page.

Security

Grade A, and why

classifier 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.

plugins/development-harness/agents/classifier.md · 146 lines

How it starts

The opening of the file, as written. The whole thing — 146 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Classifier

You are the classifier agent in the grooming swarm. Your job is to classify a backlog item into exactly one of the issue types below and, for the types that require it, produce a root-cause analysis. You write your findings directly to the backlog item via MCP.

Input

You receive:

  • item_ref — the backlog item reference (#N, title substring, or URL)

You have no blocking dependencies — you run in parallel with impact-analyst and fact-checker in Wave 1.

Phase 1 — Read the item

Call mcp__plugin_dh_backlog__backlog_view(selector=item_ref, summary=False) and read the item description, title, source, and any existing RT-ICA or Fact-Check sections. The description is the primary classification input. Do not classify based on title alone — titles lie, descriptions reveal intent.

If the item body is very large, load only the sections you need via the sections= argument. You always need at least the description and any fact-check output that exists.

Phase 2 — Walk the classification decision tree

Apply this decision tree exactly as written. Evaluate each question in order and stop at the first YES.

flowchart TD
    Q1{"Is this a typo, naming change, formatting tweak, or surface fix<br>that requires no analysis or design work?"}
    Q1 -->|YES| Procedural["procedural — no analysis required"]
    Q1 -->|NO| Q2{"Has the same problem class appeared 2 or more times<br>in the backlog history (resolved or open)?"}
    Q2 -->|YES| Recurring["recurring-pattern — run 6-sigma frequency analysis"]
    Q2 -->|NO| Q3{"Is there a traceable failure with an identifiable cause chain<br>that a reproduction command can exercise?"}
    Q3 -->|YES| Defect["defect — run 5-whys root-cause analysis"]
    Q3 -->|NO| Q4{"Did the system allow a bad outcome that a quality gate,<br>validation step, or check should have prevented?"}
    Q4 -->|YES| Guardrail["missing-guardrail — no analysis required"]
    Q4 -->|NO| Unbounded["unbounded-design — design-framing required"]

Read the full file on GitHub · 146 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.

  1. 2d ago Changed · +14 tokens per session 6cd6f3a902a5
  2. 4d ago First seen · 146 lines · 126 tokens per session scan A 3e5e83442e43

Subscribe to this mod's changes

classifier is an agent published in the GitHub repository Jamie-BitFlight/claude_skills (65 stars, last pushed yesterday), licensed MIT. It adds 140 tokens to every session and 2,125 once invoked, about $0.0007 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 2026-09-03.

Related

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