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 Masriyan/Claude-Code-CyberSecurity-Skill --skill 01-recon-osintgit clone --depth 1 https://github.com/Masriyan/Claude-Code-CyberSecurity-SkillWrote 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/masriyan/claude-code-cybersecurity-skill/01-recon-osint)<a href="https://agentmods.dev/skills/masriyan/claude-code-cybersecurity-skill/01-recon-osint"><img src="https://agentmods.dev/badge/skills/masriyan/claude-code-cybersecurity-skill/01-recon-osint/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/masriyan/claude-code-cybersecurity-skill/01-recon-osint"><img src="https://agentmods.dev/badge/skills/masriyan/claude-code-cybersecurity-skill/01-recon-osint.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector warn
SkillSpector: 3 findings, up to high
These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →
- high Privilege Escalation · line 66 Code accesses credential files (SSH keys, AWS credentials, etc.). This could indicate credential theft attempts.Fix: Remove references to credential paths. Use environment variables or secrets managers. For docs, use placeholder paths (e.g., /path/to/config). Never load .env or token files in production code paths.
- high YARA Match · line 112 YARA rule matched a hack tool or exploit indicator (offensive tools, reconnaissance, privilege escalation, or exploit frameworks).Fix: Remove offensive tool references and exploit code. Legitimate agent skills should not contain penetration testing tools, exploit frameworks, or reconnaissance utilities.
- medium Tool Misuse · line 286 Tool defaults are unsafe or overly permissive (e.g. disabled TLS verification, no authentication, world-writable permissions). Unsafe defaults widen the attack surface.Fix: Override unsafe defaults with secure settings (verify=True, auth required, restrictive permissions). Review and harden all tool configurations.
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 | $0.00033 | $0.02952 |
| Opus 5 | $0.00016 | $0.01476 |
| Sonnet 5 | $0.00007 | $0.00590 |
| Haiku 4.5 | $0.00003 | $0.00295 |
Grade A, and why
Reconnaissance & OSINT Automation scanned grade A with 0 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 yesterday.
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.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
How it starts
The opening of the file, as written. The whole thing — 297 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Reconnaissance & OSINT Automation
Purpose
Enable Claude to conduct comprehensive reconnaissance and open-source intelligence gathering during authorized security assessments. Claude performs passive and active recon using its native analysis capabilities and orchestrates the included scripts for automation at scale.
Authorization Required: Always confirm written authorization for the target scope before proceeding. Unauthorized reconnaissance is illegal in most jurisdictions.
Activation Triggers
This skill activates when the user asks about:
- Subdomain enumeration or discovery
- DNS reconnaissance, zone transfers, or DNS record analysis
- OSINT gathering on a domain, organization, or person
- Technology fingerprinting or stack identification
- Port scanning, service detection, or banner grabbing
- Google dorking or advanced search query generation
- WHOIS, certificate transparency, or Shodan queries
- Attack surface mapping or perimeter discovery
Prerequisites
pip install requests dnspython python-whois beautifulsoup4 shodan
Optional enhanced capabilities:
nmap— Active port scanningamass— Advanced subdomain enumerationtheHarvester— Email and domain harvesting- Shodan API key — Internet-wide device search
- Censys API key — Certificate and host search
Core Capabilities
1. Passive Reconnaissance (No Direct Target Contact)
When the user asks for passive recon or OSINT:
- WHOIS Analysis — Query domain registration records for registrant, registrar, nameservers, and dates. Flag privacy-protected registrations and registrar patterns.
- Certificate Transparency Logs — Search crt.sh for all certificates issued to the domain and subdomains. Extract SANs (Subject Alternative Names) to discover hidden subdomains.
- DNS Records (Passive) — Enumerate A, AAAA, MX, NS, TXT, SOA, SRV, and CNAME records using public resolvers. Analyze SPF, DKIM, and DMARC for email security posture.
- Search Engine Dorking — Generate targeted dork queries to discover exposed files, login portals, and configuration leaks:
site:target.com filetype:pdf— Exposed documentssite:target.com inurl:admin— Admin panelssite:target.com ext:env OR ext:config— Config files"@target.com" site:linkedin.com— Employee enumeration"target.com" site:pastebin.com— Credential leaks
- Shodan/Censys Queries — Search for internet-exposed services, open ports, banners, and vulnerabilities associated with the target's IP ranges.
- Git/Code Repository Search — Search GitHub/GitLab for leaked credentials, API keys, and internal information:
org:targetorg api_keyfilename:.env target.com"target.com" password
What ships with it
8 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
- examples/example_usage.md 1.3 KB
- resources/common_subdomains.txt 550 B
- scripts/__pycache__/dns_recon.cpython-314.pyc 15 KB
- scripts/__pycache__/subdomain_enum.cpython-314.pyc 19 KB
- scripts/__pycache__/tech_fingerprint.cpython-314.pyc 17 KB
- scripts/dns_recon.py 9.0 KB runs code
- scripts/subdomain_enum.py 10 KB runs code
- scripts/tech_fingerprint.py 11 KB runs code
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.
- yesterday Changed 6be50d69bedc
- 10d ago First seen · 297 lines · 33 tokens per session scan A a11153a4f988
Reconnaissance & OSINT Automation is a skill published in the GitHub repository Masriyan/Claude-Code-CyberSecurity-Skill (408 stars, last pushed 2d ago), licensed MIT. It adds 33 tokens to every session and 2,952 once invoked, about $0.0002 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
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