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.
npx skills add DorianGallo/hack-skills-local --skill recon-and-methodologygit clone --depth 1 https://github.com/DorianGallo/hack-skills-localWrote 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/doriangallo/hack-skills-local/recon-and-methodology)<a href="https://agentmods.dev/skills/doriangallo/hack-skills-local/recon-and-methodology"><img src="https://agentmods.dev/badge/skills/doriangallo/hack-skills-local/recon-and-methodology/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/doriangallo/hack-skills-local/recon-and-methodology"><img src="https://agentmods.dev/badge/skills/doriangallo/hack-skills-local/recon-and-methodology.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 | $0.00037 | $0.03277 |
| Opus 5 | $0.00018 | $0.01639 |
| Sonnet 5 | $0.00007 | $0.00655 |
| Haiku 4.5 | $0.00004 | $0.00328 |
Grade C, and why
recon-and-methodology scanned grade C with 2 findings 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.
Reaches for credential fileshighPrivilege escalation
SSH keys, cloud credentials, git-credentials, .npmrc, /etc/shadow: reading these is how a config file becomes a credential leak.
/.aws/credentials → AWS credentials Makes network callslowCapability
Not a fault in itself. Listed so you know the mod talks to something, and to what.
curl -s "https://crt.sh/?q=%.target.com&output=json" | jq -r '.[].name_value' | sort -u This is a copy
100% identical to recon-and-methodology — 2 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.
How it starts
The opening of the file, as written. The whole thing — 390 lines — stays where its author put it; the contents beside it link to each section on GitHub.
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)
# 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)
# 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
# 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
# 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
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 · 390 lines · 37 tokens per session scan C 3072789a4182
recon-and-methodology is a skill published in the GitHub repository DorianGallo/hack-skills-local (5 stars, last pushed 3mo ago), licensed MIT. It adds 37 tokens to every session and 3,277 once invoked, about $0.0002 per session on Opus 5. A static security scan graded it C with 2 findings (reaches for credential files, makes network calls). It is 100% identical to recon-and-methodology, differing in 2 lines, and is treated as a copy.
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