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 crazyMarky/pentest-skills --skill recon-fingerprintgit clone --depth 1 https://github.com/crazyMarky/pentest-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/crazymarky/pentest-skills/recon-fingerprint)<a href="https://agentmods.dev/skills/crazymarky/pentest-skills/recon-fingerprint"><img src="https://agentmods.dev/badge/skills/crazymarky/pentest-skills/recon-fingerprint/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/crazymarky/pentest-skills/recon-fingerprint"><img src="https://agentmods.dev/badge/skills/crazymarky/pentest-skills/recon-fingerprint.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector warn
SkillSpector: 1 finding, 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 YARA Match · line 208 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.
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 | $0.00055 | $0.02737 |
| Opus 5 | $0.00028 | $0.01368 |
| Sonnet 5 | $0.00011 | $0.00547 |
| Haiku 4.5 | $0.00006 | $0.00274 |
Grade A, and why
recon-fingerprint 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 11d 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 -I https://target.com How it starts
The opening of the file, as written. The whole thing — 399 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Web Fingerprinting & WAF Detection
Authorization Warning
IMPORTANT: Web fingerprinting sends requests to target servers. Always ensure you have:
- Written permission from the target application owner
- Defined scope of authorized testing
- Legal compliance with local regulations
Prerequisites
Required tools that must be installed on your system:
- httpx -
go install -v github.com/projectdiscovery/httpx/cmd/httpx@latest - nuclei -
go install -v github.com/projectdiscovery/nuclei/v2/cmd/nuclei@latest
Optional tools:
- wafw00f -
pip install wafw00f - whatweb - Package manager installation
- fingerprintx -
go install github.com/praetorian-inc/fingerprintx/cmd/fingerprintx@latest
Quick Start
Most commonly used commands for web fingerprinting:
Basic Technology Detection
whatweb https://target.com
WAF Detection
wafw00f https://target.com
HTTP Header Analysis
curl -I https://target.com
Comprehensive Fingerprinting (Nuclei)
nuclei -u https://target.com -tags tech
Common Scenarios
Scenario 1: Quick Technology Fingerprinting
When you need to quickly identify the technology stack:
whatweb https://target.com --aggression 1
Parameters:
--aggression 1- Quick scan (1-4, default 1)-a 3- More aggressive (more requests)-v- Verbose output
Example:
whatweb https://target.com -a 3
Scenario 2: WAF Detection
When you need to detect WAF/CDN protection:
wafw00f https://target.com
Output shows:
- WAF vendor (Cloudflare, AWS WAF, Imperva, etc.)
- CDN in use
- Firewall rules detected
Check multiple targets:
wafw00f -i targets.txt
Scenario 3: Server Header Analysis
When you need to analyze HTTP headers:
curl -I https://target.com
Detailed headers:
curl -v https://target.com 2>&1 | grep -i "< "
Common headers to check:
Server: nginx/1.18.0
X-Powered-By: PHP/7.4
X-AspNet-Version: 4.0.30319
X-Frame-Options: SAMEORIGIN
X-Content-Type-Options: nosniff
Strict-Transport-Security: max-age=31536000
What ships with it
11 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.
- assets/cms-fingerprints.txt 1.6 KB
- assets/tech-headers.txt 1.9 KB
- assets/waf-signatures.txt 1.1 KB
- references/fingerprinting_techniques.md 4.4 KB
- references/httpx_guide.md 1.7 KB
- references/wafw00f_guide.md 1.9 KB
- references/whatweb_guide.md 1.9 KB
- scripts/extract_headers.py 6.5 KB runs code
- scripts/fingerprint_storage.py 2.5 KB runs code
- scripts/tech_matcher.py 5.6 KB runs code
- scripts/waf_detector.py 7.1 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.
- 11d ago First seen · 399 lines · 55 tokens per session scan A 1aa026d03801
recon-fingerprint is a skill published in the GitHub repository crazyMarky/pentest-skills (308 stars, last pushed 3mo ago), licensed Apache-2.0. It adds 55 tokens to every session and 2,737 once invoked, about $0.0003 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 2026-08-30.
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