automation

agentscan: Automate Pattern Detection

Name: agentscan: Automate Pattern Detection
Author: MatteoGabriele

Detect automation patterns with agentscan, a tool for startup founders, built with TypeScript.

intermediate⏱ 30 minutes💵 Free + LLM API costs

86 stars14 forksTypeScriptHealth Score 8/10Updated 8/28/2026100% free · open source

What it is

Use agentscan to detect automation patterns in code, like tools and tools' dependencies.

What you can make with it

Automations like: when a new GitHub repository is created, alert the team on Slack with a description of the detected automation pattern.

How it helps

agentscan helps you catch hidden automation patterns earlier, so you can fix them before they cause security issues or misbehavior.

Real use case example

"A founder, Maria, sets up agentscan to scan her GitHub repository for automations. She creates a new repository, and agentscan flags a potential automated web scraper, which Maria then investigates and corrects. With this, she ensures her new repository doesn't accidentally scrape sensitive data."

If you're new

Novice developers can start exploring automation and AI early, without worrying about getting bogged down in details, starting with agentscan

If you're senior

Experienced developers use agentscan when they have a specific automation pattern to detect and want a quick, accurate solution without manual review.

Common confusion cleared up

Some users confuse automated pattern detection with static code analysis, but agentscan looks specifically for patterns in code execution and usage.

Best inside these AI tools

Claude DesktopClaude CodeSelf-hosted

Pairs with

GitHub APISlack APIAlertTools

Why we list it on WorkflowStacks: This marketplace of AI tools included agentscan as a tool for startups to automate pattern detection during development.

What it does

Agentscan detects automation patterns in GitHub repositories by analyzing commit history and identifying potential automated changes

Install / run

git clone https://github.com/MatteoGabriele/agentscan.git

When to use it

•When you suspect a repository is being automated and want to verify
•To identify potential security risks from automated commits
•To analyze commit patterns for insights on repository maintenance

Quick start

1Navigate to the cloned repository with 'cd agentscan'
2Run 'npm install' to set up the required dependencies
3Use 'npx ts-node src/analyze.ts <github-repo-url>' to analyze a repository, replacing '<github-repo-url>' with the URL of the repository you want to analyze
4View the analysis results to identify detected automation patterns
5Experiment with different repository URLs and analysis parameters to refine your understanding of automation patterns

Ready-to-paste prompt

npx ts-node src/analyze.ts https://github.com/MatteoGabriele/agentscan

Heads up: Ensure you have Node.js and TypeScript installed on your system, as agentscan is built with TypeScript and requires a compatible runtime environment to execute

Saves to your device

Topics

anti-ai

anti-ai-slop

automation-detection

behavior-detection

security

spam-detection

How agentscan: Automate Pattern Detection works

Codeflow

Free to inspect

Agentscan: Automate Pattern Detection is a medium TypeScript project (~15k lines across 153 code files, plus 6 test files). Expect some technical setup — comfortable with a terminal, or ask a developer. Last commit this month, MIT license, has a test suite.

Size

Medium codebase

~15k lines · 153 code files · ~2 h to skim

Setup

Some technical setup

Comfortable with a terminal? 20–40 min. Otherwise ask a dev.

Runs on

Node.js

No API keys detected

TypeScript 62%Vue 38%CSS 1%

Where to start reading