recon-osint

recon-osint is a skill for Claude Code, Codex from jessefmoore/offensive-claude-code. It costs 32 tokens per session (1,365 once invoked), scanned A, original, MIT.

A collection of methods and tools for gathering information about a computer system, website, or organisation. OSINT means open-source intelligence: information collected from publicly available sources.

In plain words
What is it for?
Use it to find subdomains, DNS records, historical URLs, certificates, live services, software technologies, CVEs, breaches, social profiles, and the target's overall attack surface.
Why use it?
It provides a structured way to discover exposed websites, services, technologies, past infrastructure, security weaknesses, and leaked information before testing a target.

Skill for Claude CodeCodex

Install

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.

agentmods
npx agentmods add skills/jessefmoore/offensive-claude-code/recon-osint
Any agent
npx skills add jessefmoore/offensive-claude-code --skill recon-osint
Clone the repo
git clone --depth 1 https://github.com/jessefmoore/offensive-claude-code

Made for: Claude Code, Codex.

Wrote 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.

agentmods badge for recon-osint

README.md
[![agentmods](https://agentmods.dev/badge/skills/jessefmoore/offensive-claude-code/recon-osint.svg)](https://agentmods.dev/skills/jessefmoore/offensive-claude-code/recon-osint)
Your own site
<a href="https://agentmods.dev/skills/jessefmoore/offensive-claude-code/recon-osint"><img src="https://agentmods.dev/badge/skills/jessefmoore/offensive-claude-code/recon-osint.svg" alt="Measured on agentmods" height="20"></a>
Per session 32 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,365 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 1 finding. Scan, not verified.
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00032 $0.01365
Opus 5 $0.00016 $0.00682
Sonnet 5 $0.00006 $0.00273
Haiku 4.5 $0.00003 $0.00136

Measured 5d ago against content hash a08199aa4520, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-05, from the pricing page.

Security

Grade A, and why

recon-osint 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 5d 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 "https://crt.sh/?q=%25.$DOMAIN&output=json" | jq -r '.[].name_value' | sort -u >> all_subdomains.txt
skills/recon-osint/SKILL.md · 160 lines

How it starts

The opening of the file, as written. The whole thing — 160 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Reconnaissance & OSINT

When to Activate

  • New target engagement begins — need full attack surface mapping
  • Gathering intelligence before exploitation phase
  • Building target profile for social engineering
  • Identifying exposed services, leaked credentials, historical infrastructure

Methodology

Phase 1: Passive Reconnaissance

Domain & Subdomain Enumeration
# Subdomain discovery (passive)
subfinder -d $DOMAIN -all -o subs_passive.txt
amass enum -passive -d $DOMAIN -o subs_amass.txt
cat subs_*.txt | sort -u > all_subdomains.txt

# Certificate transparency
curl -s "https://crt.sh/?q=%25.$DOMAIN&output=json" | jq -r '.[].name_value' | sort -u >> all_subdomains.txt

# Wayback Machine URL discovery
waybackurls $DOMAIN | sort -u > wayback_urls.txt
cat wayback_urls.txt | grep -E '\.(js|json|xml|config|env|bak|sql)' > interesting_urls.txt

# DNS records
for type in A AAAA MX NS TXT SOA CNAME SRV; do
  dig +short $type $DOMAIN
done | tee dns_records.txt

# WHOIS
whois $DOMAIN | tee whois.txt
Technology Fingerprinting
# HTTP probing live subdomains
cat all_subdomains.txt | httpx -sc -cl -title -tech-detect -o httpx_results.txt

# Web crawling for endpoints
katana -u https://$DOMAIN -d 3 -jc -o crawl_results.txt

# Wappalyzer-style detection
whatweb https://$DOMAIN
CVE & Exploit Intelligence
# For each identified component+version:
searchsploit "$COMPONENT $VERSION"
searchsploit -j "$COMPONENT $VERSION" | jq '.RESULTS_EXPLOIT[]'

# NVD API
curl -s "https://services.nvd.nist.gov/rest/json/cves/2.0?keywordSearch=$COMPONENT+$VERSION&resultsPerPage=10" \
  | jq '.vulnerabilities[].cve | {id, descriptions: .descriptions[0].value}'

# GitHub PoC search
curl -s "https://api.github.com/search/repositories?q=CVE+$COMPONENT+poc&sort=updated&per_page=5" \
  | jq '.items[] | {name, html_url, description}'

# Nuclei template scan
nuclei -u https://$DOMAIN -t cves/ -severity critical,high -o nuclei_cves.txt

Phase 2: Active Reconnaissance

Read the full file on GitHub · 160 lines

Changes

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.

  1. 5d ago First seen · 160 lines · 32 tokens per session scan A a08199aa4520

Subscribe to this mod's changes

recon-osint is a skill published in the GitHub repository jessefmoore/offensive-claude-code (2 stars, last pushed 3mo ago), licensed MIT. It adds 32 tokens to every session and 1,365 once invoked, about $0.0002 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 2026-08-31.

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