Getting it into your agent
It runs from inside its repository, so the clone comes first — what it calls does not travel with the file alone.
git clone --depth 1 https://github.com/akashrpatil/awesome-offensive-security-skillsnpx agentmods add skills/akashrpatil/awesome-offensive-security-skills/web-application-recon-and-enumerationWrote 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.
[](https://agentmods.dev/skills/akashrpatil/awesome-offensive-security-skills/web-application-recon-and-enumeration)<a href="https://agentmods.dev/skills/akashrpatil/awesome-offensive-security-skills/web-application-recon-and-enumeration"><img src="https://agentmods.dev/badge/skills/akashrpatil/awesome-offensive-security-skills/web-application-recon-and-enumeration/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.
<a href="https://agentmods.dev/skills/akashrpatil/awesome-offensive-security-skills/web-application-recon-and-enumeration"><img src="https://agentmods.dev/badge/skills/akashrpatil/awesome-offensive-security-skills/web-application-recon-and-enumeration.svg" alt="Reviewed on agentmods" width="80" height="20"></a>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.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00079 | $0.02535 |
| Opus 5 | $0.00039 | $0.01267 |
| Sonnet 5 | $0.00016 | $0.00507 |
| Haiku 4.5 | $0.00008 | $0.00253 |
Grade A, and why
web-application-recon-and-enumeration scanned grade A with 1 finding against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 8d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Makes network callslowCapability
Not a fault in itself. Listed so you know the mod talks to something, and to what.
curl -s "$url" | grep -oP '(api|endpoint|url|secret|key|token|password)\s*[:=]\s*["\x27][^"\x27]+["\x27]' How it starts
The opening of the file, as written. The whole thing — 221 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Web Application Recon & Enumeration
When to Use
- As the FIRST STEP in any bug bounty or web application pentest engagement
- When you need to map the target's complete attack surface
- When discovering subdomains, hidden endpoints, and technologies
- When building a target profile before vulnerability testing
Prerequisites
- Authorized scope and target URLs from bug bounty program
- Burp Suite Professional (or Community) configured with browser proxy
- Familiarity with OWASP Top 10 and common web vulnerability classes
- SecLists wordlists for fuzzing and enumeration
Workflow
Phase 1: Passive Subdomain Enumeration
# subfinder — fast passive subdomain discovery
subfinder -d target.com -all -o subdomains.txt
# amass — comprehensive passive enumeration
amass enum -passive -d target.com -o amass_subs.txt
# assetfinder
assetfinder --subs-only target.com >> subdomains.txt
# Merge and deduplicate
cat subdomains.txt amass_subs.txt | sort -u > all_subs.txt
echo "[+] Total unique subdomains: $(wc -l < all_subs.txt)"
Phase 2: DNS Resolution & HTTP Probing
# Resolve live subdomains
cat all_subs.txt | httpx -silent -status-code -title -tech-detect -o live_hosts.txt
# Check which hosts respond on interesting ports
cat all_subs.txt | httpx -ports 80,443,8080,8443,3000,5000,8000,9090 -silent -o all_ports.txt
# Quick Nmap for service detection
nmap -sV -sC -p 21,22,80,443,3306,5432,8080,8443 -iL live_ips.txt -oA nmap_scan
Phase 3: Technology Fingerprinting
# Wappalyzer-style detection (httpx already does this with -tech-detect)
# Additional: Nuclei technology detection
nuclei -l live_hosts.txt -t technologies/ -o tech_results.txt
# whatweb for detailed fingerprinting
whatweb -i live_hosts.txt --log-brief=whatweb_results.txt
# Check for known CMS
# WordPress: /wp-admin, /wp-content, /xmlrpc.php
# Drupal: /core/CHANGELOG.txt, /user/login
# Joomla: /administrator, /api/index.php
Phase 4: Directory & Content Discovery
What ships with it
2 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.
- 8d ago First seen · 221 lines · 79 tokens per session scan A d5e09f8052a5
web-application-recon-and-enumeration is a skill published in the GitHub repository akashrpatil/awesome-offensive-security-skills (5 stars, last pushed 4mo ago), licensed Apache-2.0. It adds 79 tokens to every session and 2,535 once invoked, about $0.0004 per session on Opus 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 2026-09-03.
Other skills, from other repositories
web-enumeration
Sensitive file scanning, path traversal bypass, vHost enum, .env extract, log mining, Varnish detect.
conducting-external-reconnaissance-with-osint
Conducts external reconnaissance using Open Source Intelligence (OSINT) techniques to map an organization's external attack surface without directly interacting with target systems. The tester gathers information from public sources including DNS records, certificate transparency logs, search engines, social media…
web2-vuln-classes
Complete reference for 26 web2 bug classes with root causes, detection patterns, bypass tables, exploit techniques, and real paid examples. Covers IDOR, auth bypass, XSS, SSRF (11 IP bypass techniques), SQLi, business logic, race conditions, OAuth/OIDC, file upload (10 bypass techniques), GraphQL, LLM/AI (ASI01-ASI10…
wstg-web-pentest
Full WSTG-aligned web application pentest — 12-phase methodology from information gathering through reporting, with concrete commands, expected outputs, pitfalls, and verification per phase.
detecting-api-enumeration-attacks
Detect and prevent API enumeration attacks including BOLA and IDOR exploitation by monitoring sequential identifier access patterns and authorization failures.
performing-api-inventory-and-discovery
Performs API inventory and discovery to identify all API endpoints in an organization's environment including documented, undocumented, shadow, zombie, and deprecated APIs. The tester uses passive traffic analysis, active scanning, DNS enumeration, JavaScript analysis, and cloud resource inventory to build a…