cms-detection

cms-detection is a skill for Claude Code, Codex from uphiago/recon-skills. It costs 17 tokens per session (2,248 once invoked), scanned A, original, MIT.

A guide for identifying the content management system, web framework, server software, and other technologies used by a live website. A CMS is software for managing website content.

In plain words
What is it for?
Classifying websites, identifying CMS or framework versions, and prioritizing technology-specific security testing.
Why use it?
Knowing the technology stack helps an authorized tester choose relevant checks and avoid applying the wrong tests.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one. Also seen: positional $N argument.

Good fit Classifying websites, identifying CMS or framework versions, and prioritizing technology-specific security testing.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/uphiago/recon-skills/cms-detection
About the project

Recon Skills is a pack of security-testing skills covering reconnaissance, web applications, APIs, authentication, vulnerability validation, cloud infrastructure, and reporting. Security professionals use it for authorized assessments of systems they own or have written permission to test. The catalogue entries are individual skills from the pack.

uphiago/recon-skills · 1,323 stars · on GitHub · hiago.sh

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.

Any agent
npx skills add uphiago/recon-skills --skill cms-detection
Clone the repo
git clone --depth 1 https://github.com/uphiago/recon-skills

Made for: Claude Code, Codex.

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

agentmods badge for cms-detection

README.md
[![agentmods](https://agentmods.dev/badge/skills/uphiago/recon-skills/cms-detection/github.svg)](https://agentmods.dev/skills/uphiago/recon-skills/cms-detection)
Your own site
<a href="https://agentmods.dev/skills/uphiago/recon-skills/cms-detection"><img src="https://agentmods.dev/badge/skills/uphiago/recon-skills/cms-detection/github.svg" alt="Measured on agentmods" height="20"></a>

Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.

agentmods 80×15 button for cms-detection

Your own site · 80×15
<a href="https://agentmods.dev/skills/uphiago/recon-skills/cms-detection"><img src="https://agentmods.dev/badge/skills/uphiago/recon-skills/cms-detection.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 17 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 2,248 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 1 finding. A grade says what 26 rules found in the file — not that it is safe. Third-party audits
  • NVIDIA SkillSpector pass 7 Sept 2026
How audits are shown
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 5.1 $0.00017 $0.02248
Opus 5.5 $0.00007 $0.00899
Sonnet 5.5 $0.00003 $0.00450
Haiku 4.5 $0.00002 $0.00225

Measured 2mo ago against content hash a56f401ae95a, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

cms-detection scanned grade A with 1 finding 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 2mo 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.

Makes network callslowCapability

Not a fault in itself. Listed so you know the mod talks to something, and to what.

compatibility: Requires curl, httpx, nuclei
recon/cms-detection/SKILL.md · 215 lines

How it starts

The opening of the file, as written. The whole thing — 215 lines — stays where its author put it; the contents beside it link to each section on GitHub.

CMS Detection

Identify the content management system, web framework, server software, and technology stack of every live host. Know which stack you're attacking before you attack it — a WordPress site needs different tests than a Laravel API or a Spring Boot microservice. Multi-CMS detection covers WordPress, Drupal, Joomla, Magento, Shopify, Wix, Squarespace, Laravel, Django, Express, Spring Boot, and more.

When to Use

  • You have a list of alive hosts and need to categorize them by technology.
  • WordPress-specific tests produced false positives (the site uses Drupal).
  • Need to identify which CMS version is running to match against known CVEs.
  • A host returns generic 200 on all paths — technology detection tells you what it actually runs.
  • Want to find sites running outdated versions of popular CMS platforms.

Prerequisites

  • terminal with httpx, whatweb, wappalyzer, and curl.
  • A list of alive subdomains from skill_view(name='visual-recon') or skill_view(name='subdomain-enumeration').

Quick Detection

# Fastest: httpx with built-in tech detection
cat alive_subs.txt | httpx -silent -tech-detect -o tech_detect.txt

# Deep: whatweb with aggressive checks
whatweb -i alive_subs.txt -a 3 -t 50 --log-brief=cms_results.txt

Procedure

Phase 1 — Bulk Technology Fingerprinting

# httpx — fast tech detection using Wappalyzer signatures
cat alive_subs.txt | httpx -silent -tech-detect -o tech_httpx.txt

# Parse results: extract unique technologies with counts
cat tech_httpx.txt | awk -F' [' '{print $2}' | tr -d ']' | tr ',' '\n' \
  | sed 's/^ *//' | sort | uniq -c | sort -rn > tech_summary.txt

# whatweb — deeper, identifies specific CMS versions
whatweb -i alive_subs.txt -a 3 -t 50 \
  --log-brief=cms_results.txt \
  --log-json=cms_results.json

# Parse whatweb JSON for versioned findings
cat cms_results.json | jq -r '.[] | select(.version != null) | "\(.target): \(.plugin) \(.version)"' \
  | sort -u > versioned_cms.txt

Read the full file on GitHub · 215 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. 2mo ago First seen · 215 lines · 17 tokens per session scan A a56f401ae95a

Subscribe to this mod's changes

cms-detection is a skill published in the GitHub repository uphiago/recon-skills (1,323 stars, last pushed 2mo ago), licensed MIT. It adds 17 tokens to every session and 2,248 once invoked, about $0.0001 per session on Opus 5.5. A static security scan graded it A with 1 finding (makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.

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