recon-and-methodology
Reconnaissance and methodology playbook.
Skill by langbyyi
Install
Works with Claude Code, Claude apps, Codex, Cursor, Gemini CLI, GitHub Copilot, VS Code, OpenCode, Goose, Windsurf. Read the repository before you give any tool access to your data.
npx agentmarket install skill/langbyyi-recon-and-methodology
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About
Use cases: testing
Reviews
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What this skill can do and what it asks for, from its SKILL.md. Checked Oct 25, 2026.
- Tools
- No tools found
- Secrets
- None asked for
- Install scripts
- None found
Network hosts it talks to 1
codeload.github.com· found in install command
Files it touches
~/.claude/skills/recon-and-methodology
What's inside
- Skill name
recon-and-methodology- Description
- Reconnaissance and methodology playbook. Use when mapping assets, discovering endpoints, fingerprinting technology, and building a structured testing plan for a new target.
- License
- Apache-2.0
- Instructions
- 394 lines in SKILL.md · view on GitHub
Before installing
- Instructions call the network
Files (1)
- SKILL.md
SKILL.md (first lines)
# SKILL: Recon and Methodology — Expert Bug Bounty Playbook
> **AI LOAD INSTRUCTION**: Systematic recon and bug-finding methodology from top bug hunters. Covers subdomain enumeration, endpoint discovery, tech fingerprinting, and the hunter's mental model for finding bugs that others miss. Key insight: most high-severity bugs are found through systematic coverage, not just clever payloads.
---
## 1. RECON HIERARCHY
```
Target Selection
└── Scope Definition (in-scope assets)
└── Asset Discovery (subdomains, IPs, domains)
└── Tech Fingerprinting (what's running)
└── Endpoint Discovery (attack surface)
└── Vulnerability Testing (per vulnerability type)
```
---
## 2. SUBDOMAIN ENUMERATION (CRITICAL FIRST STEP)
### Passive (no DNS queries to target)
```bash
# Subfinder (aggregates multiple sources):
subfinder -d target.com -o subdomains.txt
# Amass passive:
amass enum -passive -d target.com
# Certsh (certificate transparency):
curl -s "https://crt.sh/?q=%.target.com&output=json" | jq -r '.[].name_value' | sort -u
# SecurityTrails API, Shodan:
# Web: https://securitytrails.com/list/apex_domain/target.com
```
### Active (DNS brute force + resolution)
```bash
# Massdns + wordlist:
massdns -r /path/to/resolvers.txt -t A -o S -w output.txt \
<(cat wordlist.txt | sed 's/$/.target.com/')
# ffuf for subdomain brute:
ffuf -w subdomains-wordlist.txt -u https://FUZZ.target.com \
-mc 200,301,302,403 -H "Host: FUZZ.target.com"
# DNSx for bulk resolution:
cat subdomains.txt | dnsx -a -resp -o resolved.txt
# Recommended wordlist: SecLists/Discovery/DNS/
```
### Virtual Host Discovery
```bash
# ffuf vhost mode:
ffuf -w wordlist.txt -u https://target.com \
-H "Host: FUZZ.target.com" -mc 200,301,403
# gobuster vhost:
gobuster vhost -u https://target.com -w wordlist.txt
```
---
## 3. SERVICE AND PORT DISCOVERY
```bash
# Fast port scan (common ports):
nmap -T4 -F target.com -oN ports.txt
# Comprehensive scan on resolved subdomains:
cat resolved_ips.txt | nmap -iL - --open -p 80,443,8080,8443,8888,3000,5000 -oG scan.txt
# httpx for HTTP probing:
cat subdomains.txt | httpx -title -tech-detect -status-code -o live_hosts.txt
# masscan for speed on large IP ranges:
masscan -p 80,443,8080,8443 10.0.0.0/8 --rate=1000
```
---
## 4. WEB TECHNOLOGY FINGERPRINTING
```bash
# Wappalyzer (browser extension) or:
whatweb https://target.com
# httpx with tech detection:
httpx -u https://target.com -tech-detect
# Check headers manually:
curl -sI https://target.com | grep -i "server\|x-powered-by\|x-generator\|cf-ray"
# Fingerprint from:
- Server header: nginx/1.18, Apache/2.4, IIS/10.0
- X-Powered-By: PHP/7.4, ASP.NET
- Cookies: PHPSESSID (PHP), JSESSIONID (Java), _rails_session (Rails)
- HTML comments: <!-- Drupal 9 -->
- Meta generator: <meta name="generator" content="WordPress 6.2">
- JS framework files: /static/js/angular.min.js
```
---
## 5. ENDPOINT DISCOVERY
### Directory Brute Force
```bash
# ffuf (fastest):
ffuf -u https://target.com/FUZZ -w /usr/share/seclists/Discovery/Web-Content/raft-medium-files.txt \
-mc 200,301,302,403 -t 50 -o dirs.txt
# Gobuster:
gobuster dir -u https://target.com -w wordlist.txt -x php,html,js,json
# feroxbuster (recursive):
feroxbuster -u https://target.com -w wordlist.txt -x php,html,txt -r
```From langbyyi/CyberStrikeAI-SRC, Apache-2.0.
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Signals
- Stars
- 131
- Forks
- 11
- Open issues
- 0
- Last commit (this folder)
- Aug 6, 2026 (2 months ago)
- Last release
- Oct 16, 2026 (13 days ago)
From GitHub (fetched Oct 24, 2026).
Details
- License
- Apache-2.0
- Repository
- github.com/langbyyi/CyberStrikeAI-SRC
- First seen
- Oct 24, 2026
- Last checked
- Oct 24, 2026
- Source
- GitHubgithub-graphql
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Cite this page
recon-and-methodology skill. Agent Mart. https://agentmart.dev/skills/langbyyi-recon-and-methodology (last updated 2026-10-24)