analyze
Analyze recon output with AI to suggest high-value targets and attack strategies. Usage: /analyze <target>
```bash subfinder -d target.com -silent -all | sort -u > subs.txt httpx -l subs.txt -silent -status-code -tech-detect | tee live-hosts.txt ```
Claude Code
$ npx -y skills add H-mmer/pentest-agents --skill recon-methodology --agent claude-code
Codex
$ npx skills add H-mmer/pentest-agents --skill recon-methodology -a codex -y
Cursor
$ npx skills add H-mmer/pentest-agents --skill recon-methodology -a cursor -y
Gemini CLI
$ npx skills add H-mmer/pentest-agents --skill recon-methodology -a gemini-cli -y
GitHub Copilot
$ npx skills add H-mmer/pentest-agents --skill recon-methodology -a github-copilot -y
OpenCode
$ npx skills add H-mmer/pentest-agents --skill recon-methodology -a opencode -y
Windsurf
$ npx skills add H-mmer/pentest-agents --skill recon-methodology -a windsurf -y
subfinder -d target.com -silent -all | sort -u > subs.txt httpx -l subs.txt -silent -status-code -tech-detect | tee live-hosts.txt
gau target.com | sort -u > historical-urls.txt waybackurls target.com | sort -u >> historical-urls.txt grep -E "\?.*=" historical-urls.txt > params.txt grep -iE "api|admin|internal|debug|test|staging" historical-urls.txt > interesting.txt
curl -sI https://target.com | grep -iE "server|x-powered|x-runtime|x-generator"
ffuf -u https://target.com/FUZZ -w wordlists/common.txt -mc 200,301,302,403 ffuf -u https://target.com/api/FUZZ -w wordlists/api-endpoints.txt -mc 200,401,403,405
katana -u https://target.com -d 3 -jc -ef css,png,jpg,gif | grep "\.js$" | sort -u > js-files.txt # Grep for secrets and endpoints in downloaded JS grep -rohE '/api/[a-zA-Z0-9/_-]+' downloaded-js/ | sort -u
recon/<target>/ ├── live-hosts.txt — verified live hosts with tech ├── urls.txt — all discovered URLs ├── api-endpoints.txt — API paths ├── js-analysis.txt — secrets and endpoints from JS ├── idor-candidates.txt — URLs with ID parameters ├── ssrf-candidates.txt — URLs with URL/redirect parameters └── tech-stack.txt — technology summary
# IDOR candidates: grep -E '/[0-9]+|id=|user_id=|order_id=' urls.txt > idor-candidates.txt # SSRF candidates: grep -iE 'url=|uri=|redirect=|next=|dest=|callback=' urls.txt > ssrf-candidates.txt
After recon: run `/surface` for P1/P2/Kill ranking.
Bug bounty agent framework for Claude Code, Codex, Gemini, Cursor, Windsurf, Copilot, and OpenClaw — 48 agents, 26 commands, 19 CLI tools, 2 MCP servers, autonomous hunt loops, exploit chain builder.
Analyze recon output with AI to suggest high-value targets and attack strategies. Usage: /analyze <target>
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