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 bhuvangupta/vapt-claude --skill vapt-recongit clone --depth 1 https://github.com/bhuvangupta/vapt-claudeWrote 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/bhuvangupta/vapt-claude/vapt-recon)<a href="https://agentmods.dev/skills/bhuvangupta/vapt-claude/vapt-recon"><img src="https://agentmods.dev/badge/skills/bhuvangupta/vapt-claude/vapt-recon/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/bhuvangupta/vapt-claude/vapt-recon"><img src="https://agentmods.dev/badge/skills/bhuvangupta/vapt-claude/vapt-recon.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 | $0.00000 | $0.01488 |
| Opus 5 | $0.00000 | $0.00744 |
| Sonnet 5 | $0.00000 | $0.00298 |
| Haiku 4.5 | $0.00000 | $0.00149 |
Grade B, and why
vapt-recon scanned grade B 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 10d 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.
Downloads and executes remote codemediumSupply chain
curl | sh runs whatever the server returns today, which is not necessarily what it returned when this was reviewed.
curl -s "https://crt.sh/?q=%25.<domain>&output=json" | python3 -c "import sys,json; [print(x['name_value']) for x in json.load(sys.stdin)]" | sort -u Downgraded: this mod is about security review, or the phrase is quoted, so it is likely naming the pattern rather than instructing it.
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=%25.<domain>&output=json" | python3 -c "import sys,json; [print(x['name_value']) for x in json.load(sys.stdin)]" | sort -u How it starts
The opening of the file, as written. The whole thing — 210 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Recon & OSINT
When Invoked
The user runs /vapt recon <url> or this skill is triggered as part of Wave 1 during /vapt audit.
Phase 1: Passive Reconnaissance
1.1 DNS Enumeration
Run DNS lookups for the target domain:
# A, AAAA, MX, TXT, NS, SOA, CNAME records
dig +short <domain> A
dig +short <domain> AAAA
dig +short <domain> MX
dig +short <domain> TXT
dig +short <domain> NS
dig +short <domain> SOA
dig +short <domain> CNAME
Look for:
- IP addresses and hosting provider
- Mail servers (potential phishing targets)
- TXT records (SPF, DKIM, DMARC — email security posture)
- NS records (DNS hosting, potential zone transfer)
1.2 Subdomain Enumeration
If subfinder is installed:
subfinder -d <domain> -silent
If amass is installed:
amass enum -passive -d <domain>
Fallback (always run):
- Query crt.sh for certificate transparency logs:
curl -s "https://crt.sh/?q=%25.<domain>&output=json" | python3 -c "import sys,json; [print(x['name_value']) for x in json.load(sys.stdin)]" | sort -u - Check common subdomains via DNS: www, mail, api, admin, staging, dev, test, app, portal, vpn, cdn, static, docs, blog
1.3 Technology Fingerprinting
If whatweb is installed:
whatweb -q <url>
If wafw00f is installed:
wafw00f <url>
Fallback (always run):
- Fetch homepage headers and body with curl:
curl -sIL <url> curl -sL <url> | head -200 - Extract from response headers: Server, X-Powered-By, X-Generator
- Extract from HTML: meta generator tag, script/link src patterns, CSS class naming conventions
- Identify: Web server (nginx/Apache/IIS), language (PHP/Python/Node/Java/Ruby), framework (Laravel/Django/Express/Spring/Rails), CMS (WordPress/Drupal/Joomla), CDN (Cloudflare/AWS CloudFront/Akamai), WAF presence
1.4 WHOIS Analysis
whois <domain>
Extract:
- Registrar and registration date
- Expiration date (expired domains = risk)
- Registrant organization (privacy protection or exposed?)
- Name servers
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.
- 10d ago First seen · 210 lines · 0 tokens per session scan B 2403ca4677a7
vapt-recon is a skill published in the GitHub repository bhuvangupta/vapt-claude (1 stars, last pushed 5mo ago), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 1,488 tokens. A static security scan graded it B with 2 findings (downloads and executes remote code, makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.
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