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.
npx agentmods add skills/dean0x/devflow/complexitynpx skills add dean0x/devflow --skill complexitygit clone --depth 1 https://github.com/dean0x/devflowWhat 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 | $0.00024 | $0.01108 |
| Opus 5 | $0.00012 | $0.00554 |
| Sonnet 5 | $0.00005 | $0.00222 |
| Haiku 4.5 | $0.00002 | $0.00111 |
Grade A, and why
complexity 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 yesterday.
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.
How it starts
The opening of the file, as written. The whole thing — 151 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Complexity Patterns
Domain expertise for code complexity and maintainability analysis. Use alongside devflow:review-methodology for complete complexity reviews.
Iron Law
IF YOU CAN'T UNDERSTAND IT IN 5 MINUTES, IT'S TOO COMPLEX
Every function should be explainable to a colleague in under 5 minutes. If you need a diagram to understand control flow, refactor. If you need comments to explain what (not why), the code is too clever. Simplicity is a feature, complexity is a bug.
Complexity Categories
1. Cyclomatic Complexity
High decision path count makes code hard to test and understand.
Violation: Deep nesting (5+ levels)
if (order) {
if (order.items) {
for (const item of order.items) {
if (item.quantity > 0) {
if (item.product?.inStock) {
// Buried logic
Solution: Early returns and extraction
function processOrder(order: Order) {
if (!order?.items) return;
for (const item of order.items) processItem(item);
}
function processItem(item: OrderItem) {
if (item.quantity <= 0 || !item.product?.inStock) return;
// Logic at top level
}
2. Readability Issues
Code that requires mental effort to parse.
Violation: Magic values
if (status === 3) {
setTimeout(callback, 86400000);
}
Solution: Named constants
const OrderStatus = { COMPLETED: 3 } as const;
const ONE_DAY_MS = 24 * 60 * 60 * 1000;
if (status === OrderStatus.COMPLETED) {
setTimeout(callback, ONE_DAY_MS);
}
3. Maintainability Issues
Code that's expensive to change.
Violation: Long parameter lists
function createUser(name, email, password, role, dept, manager, startDate, salary) { }
Solution: Object parameter
interface CreateUserParams {
name: string; email: string; password: string;
role: string; department: string; manager?: string;
startDate: Date; salary: number;
}
function createUser(params: CreateUserParams) { }
What ships with it
3 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
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.
- yesterday First seen · 151 lines · 24 tokens per session scan A 40104ddde76b
complexity is a skill published in the GitHub repository dean0x/devflow (19 stars, last pushed yesterday), licensed MIT. It adds 24 tokens to every session and 1,108 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.
Other skills, from other repositories
data-engineering
Skill "data-engineering" from fengshao1227/ccg-workflow, covering 数据工程域 · data engineering, 域概览, 数据管道编排, 框架对比 and airflow 核心模式.
verify-change
变更校验关卡。分析代码变更,检测文档同步状态,评估变更影响范围。当用户提到变更检查、文档同步、代码审查、提交前检查、diff分析时使用。在设计级变更、重构完成时自动触发。.
verify-security
安全校验关卡。自动扫描代码安全漏洞,检测危险模式,确保安全决策有文档记录。当用户提到安全扫描、漏洞检测、安全审计、代码安全、OWASP、注入检测、敏感信息泄露时使用。在新建模块、安全相关变更、攻防任务、重构完成时自动触发。.
liquid-glass
Apple Liquid Glass design system. Use when building UI with translucent, depth-aware glass morphism following Apple's design language. Provides CSS tokens, component patterns, dark/light mode, and animation specs.
gen-docs
文档生成器。自动分析模块结构,生成 README.md 和 DESIGN.md 骨架。当用户提到生成文档、创建README、创建DESIGN、文档骨架、文档模板时使用。在新建模块开始时自动触发。.
verify-module
模块完整性校验关卡。扫描目录结构、检测缺失文档、验证代码与文档同步。当用户提到模块校验、文档检查、结构完整性、README检查、DESIGN检查时使用。在新建模块完成时自动触发。.