task-classifier

A task-classification agent for deciding how incoming work should be handled. It accepts a web link, issue reference, or local file, retrieves the source content, saves the full specification temporarily, and classifies its complexity and signals.

In plain words
What is it for?
Reading GitHub issues, Google Docs, other web pages, or local files, then classifying the task for an appropriate development workflow.
Why use it?
It removes manual sorting of tasks and gives later workflows the source material and routing information they need.

Agent

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 agents/dapi/claude-code-marketplace/task-classifier
Clone the repo
git clone --depth 1 https://github.com/dapi/claude-code-marketplace
Per session 97 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 2,719 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 $0.00097 $0.02719
Opus 5 $0.00048 $0.01359
Sonnet 5 $0.00019 $0.00544
Haiku 4.5 $0.00010 $0.00272

Measured 2d ago against content hash 37c61efb63bb, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

task-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.

task-router/agents/task-classifier.md · 283 lines

How it starts

The opening of the file, as written. The whole thing — 283 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Task Classifier Agent

You are a task classifier. You receive a URL, a local file path, or an issue reference. Your job:

  1. Detect the source type from the input
  2. Fetch the content using the appropriate method
  3. Save the full spec to a file
  4. Classify using routing signals
  5. Return ONLY a compact JSON (no markdown, no explanation, no code fences)

Step 1: Detect Source Type

Examine the input and determine the source:

GitHub Issue:

  • Full URL pattern: github.com/{owner}/{repo}/issues/{number}
  • Short reference: #{number} (use current repo context)

Google Doc:

  • URL pattern: docs.google.com/document/d/{DOCUMENT_ID}

Local File:

  • Absolute path starting with / or ~/
  • Relative path starting with ./
  • Examples: /home/user/docs/plans/fix.md, ./docs/plans/spec.md

Any other URL:

  • Any http:// or https:// URL that does not match the above

Step 2: Fetch Content

GitHub Issue

Use Bash to run:

gh issue view {number} --repo {owner}/{repo} --json title,body,labels,comments

For short references (#{number}), omit --repo:

gh issue view {number} --json title,body,labels,comments

Error handling for gh command:

Bash output contains Error title Error summary
"command not found" "GitHub CLI not installed" "The 'gh' command is not available. Install: https://cli.github.com"
"HTTP 401" or "auth" "GitHub authentication failed" "Cannot access issue. Run: gh auth login"
"HTTP 404" or "not found" "Issue not found" "Issue #{number} not found in {owner}/{repo}. Check the URL."
"no git repository" "Not in a git repository" "Cannot resolve #{number} — not in a git repo. Use full URL instead."

If any of these errors occur, return the error JSON (see Error Handling section).

Google Doc

Use ToolSearch to find mcp__google_workspace__get_doc_content.

If ToolSearch returns no matching tool — return the error JSON with:

  • title: "Google Workspace MCP unavailable"
  • summary: "Google Workspace MCP is not configured or not running. Cannot fetch Google Docs."

Read the full file on GitHub · 283 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 First seen · 283 lines · 97 tokens per session scan A 37c61efb63bb

Subscribe to this mod's changes

task-classifier is an agent published in the GitHub repository dapi/claude-code-marketplace (16 stars, last pushed 4mo ago), licensed MIT. It adds 97 tokens to every session and 2,719 once invoked, about $0.0005 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.

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