HackSkills is an organized knowledge base of installable skills that gives AI agents practical security knowledge across areas such as web security, privilege escalation, reverse engineering, and digital forensics. It is intended for bug bounty work, penetration testing, CTF competitions, and authorized security research. The catalogue entries are the project's own master, category, and topic skills.
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 yaklang/hack-skills --skill recon-and-methodologygit clone --depth 1 https://github.com/yaklang/hack-skillsWrote 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/yaklang/hack-skills/recon-and-methodology)<a href="https://agentmods.dev/skills/yaklang/hack-skills/recon-and-methodology"><img src="https://agentmods.dev/badge/skills/yaklang/hack-skills/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/yaklang/hack-skills/recon-and-methodology"><img src="https://agentmods.dev/badge/skills/yaklang/hack-skills/recon-and-methodology.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- Socket pass
- Snyk fail
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 | $0.03284 |
| Opus 5 | $0.00018 | $0.01642 |
| Sonnet 5 | $0.00007 | $0.00657 |
| 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 6d 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 Copies of this mod
3 near-identical copies found in the catalogue:
- recon-and-methodology — 100% identical, 2 lines differ
- recon-and-methodology — 100% identical, 0 lines differ
- recon-and-methodology — 95% identical, 4 lines differ
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.
- 6d ago First seen · 390 lines · 37 tokens per session scan C e2536d18ddb0
recon-and-methodology is a skill published in the GitHub repository yaklang/hack-skills (2,133 stars, last pushed 2mo ago), licensed MIT. It adds 37 tokens to every session and 3,284 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). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-09-03.
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