What is complexity-decision-tree?

A decision guide for classifying coding tasks into four complexity levels, from a small bug fix to a large architectural change. It uses questions about affected components and design impact.

Use it at the start of a task to decide which workflow and process rules should apply.

It helps choose an appropriate amount of planning, documentation, and review for each task.

complexity-decision-tree — Cursor rule by alkoleft

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 rules/alkoleft/platform-context-exporter/complexity-decision-tree

Clone the repo

git clone --depth 1 https://github.com/alkoleft/platform-context-exporter

Made for: Cursor.

Per session 0 Nothing until a file matches its globs; then the whole rule loads.

When invoked 1,652 The whole file, excluding the scripts and references it only reads on demand.

Security scan A 0 findings. Scan, not verified.

Origin 100% copy Near-identical to another mod 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.

Model	Per session	Once invoked
Fable 5	$0.00000	$0.01652
Opus 5	$0.00000	$0.00826
Sonnet 5	$0.00000	$0.00330
Haiku 4.5	$0.00000	$0.00165

Measured 2d ago against content hash b15263400b63, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

complexity-decision-tree 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.

Origin

This is a copy

100% identical to complexity-decision-tree — 0 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.

.cursor/rules/isolation_rules/Core/complexity-decision-tree.mdc · 188 lines

How it starts

The opening of the file, as written. The whole thing — 188 lines — stays where its author put it; the contents beside it link to each section on GitHub.

TASK COMPLEXITY DETERMINATION

TL;DR: This document helps determine the appropriate complexity level (1-4) for any task. Use the decision tree and indicators to select the right process level, then load the corresponding process map.