backend-inferencer

Infer backend technologies from HTTP headers, cookies, DNS records, and repository dependencies.

Updated May 27, 2026
One-click install
npx skills add https://github.com/hoanghn61/.agents --skill backend-inferencer
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: backend-inferencer
Source: https://github.com/hoanghn61/.agents/tree/main/skills/techstack-identification/backend_inferencer
Command: npx skills add https://github.com/hoanghn61/.agents --skill backend-inferencer

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill helps you quickly identify a website or API’s backend technology stack when you only have indirect signals like HTTP headers, cookies, DNS records, and repository artifacts.

Core Features & Use Cases

  • Backend stack inference: Determines likely backend components such as web servers, runtimes, languages, frameworks, and common CMS patterns from observed signals.
  • Signal-based evidence scoring: Combines header, cookie, HTML generator/meta patterns, and repository dependency clues into weighted results with supporting evidence.
  • Practical output for investigation: Produces a structured summary including inferred categories (e.g., web server, runtime, framework, database) plus implied technologies.

Quick Start

Use the backend-inferencer skill to infer the backend technologies for the target domain by analyzing HTTP headers, cookies, DNS TXT records, and repository dependency files.

Frequently Asked Questions about backend-inferencer

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I detect a website's backend tech stack from HTTP headers and DNS records?

Backend stack inference analyzes indirect signals like HTTP headers, cookies, DNS TXT records, and repository dependencies to determine web servers, runtimes, languages, and frameworks for a target website.

Can I identify a web framework without having access to the source code?

Yes, backend inference extracts and correlates signal patterns using weighted evidence rules from live observations like HTML generator patterns and cookie fingerprinting to identify frameworks without source code.

What is the best way to perform tech stack discovery for security reconnaissance?

Tech stack discovery for security reconnaissance applies weighted evidence scoring across DNS signals, HTTP headers, and CMS detection to produce structured summaries of inferred backend categories and implied technologies.

How do I infer backend technologies from cookie fingerprinting and repository dependencies?

Infer backend technologies by combining cookie fingerprinting and repository dependency files into weighted results, correlating these signal patterns to identify common data/API technologies and web servers.

Does backend stack inference work for engineering audits of web APIs?

Backend stack inference suits engineering audits of web APIs by extracting indirect observations and applying weighted evidence rules to map runtimes, frameworks, and databases where source code is unavailable.