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 MingyiSecLab/Mingyi-Atlas --skill active-recongit clone --depth 1 https://github.com/MingyiSecLab/Mingyi-AtlasWrote 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/mingyiseclab/mingyi-atlas/active-recon)<a href="https://agentmods.dev/skills/mingyiseclab/mingyi-atlas/active-recon"><img src="https://agentmods.dev/badge/skills/mingyiseclab/mingyi-atlas/active-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/mingyiseclab/mingyi-atlas/active-recon"><img src="https://agentmods.dev/badge/skills/mingyiseclab/mingyi-atlas/active-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 | $0.00030 | $0.03881 |
| Opus 5 | $0.00015 | $0.01940 |
| Sonnet 5 | $0.00006 | $0.00776 |
| Haiku 4.5 | $0.00003 | $0.00388 |
Grade C, and why
active-recon scanned grade C 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 9d 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 codehighSupply chain
curl | sh runs whatever the server returns today, which is not necessarily what it returned when this was reviewed.
curl -s http://<target>:9200/ | python3 -m json.tool Makes network callslowCapability
Not a fault in itself. Listed so you know the mod talks to something, and to what.
### curl for HTTP Services How it starts
The opening of the file, as written. The whole thing — 400 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Active Reconnaissance Knowledge Base
Active reconnaissance directly interacts with target systems. Every packet sent may be logged, detected, or trigger alerts. Use active techniques only after passive reconnaissance has identified specific targets that warrant further investigation.
Quick Reference — Common Scan Patterns
# Stealth SYN scan with version detection (recommended starting point)
nmap -sS -sV -p 22,80,443,8080,8443 <TARGET> -oN nmap_<TARGET>.txt -oX nmap_<TARGET>.xml
# Full top-1000 port scan
nmap -sS -sV --top-ports 1000 -T2 <TARGET> -oN nmap_full_<TARGET>.txt
# Script enumeration on discovered ports
nmap -sC -sV -p <PORTS> <TARGET> -oN nmap_scripts_<TARGET>.txt
# UDP scan (DNS, SNMP, NTP)
nmap -sU -p 53,161,123 <TARGET> -oN nmap_udp_<TARGET>.txt
# Web directory fuzzing
ffuf -u https://<TARGET>/FUZZ -w /usr/share/wordlists/dirb/common.txt -mc 200,301,302,403 -o ffuf_<TARGET>.json
# Vulnerability scan
nuclei -u https://<TARGET> -severity critical,high -o nuclei_<TARGET>.txt
1. OPSEC Principles for Active Scanning
Detection Avoidance
- Never scan entire ranges blindly — target specific IPs/ports identified during passive recon
- Rate limiting: Slow scans blend with normal traffic; fast scans trigger IDS/IPS
- Timing: Scan during business hours when traffic volume provides cover
- Source management: Be aware your sandbox IP is the scan origin
- User-Agent rotation: Vary HTTP user agents for web scanning tools
Scan Justification
Before every active scan, document:
- What you're scanning and why
- What passive intel led to this decision
- Expected noise level and detection risk
2. Port Scanning with Nmap
Stealth SYN Scan (Default for Recon)
# Targeted port scan — specific ports from passive findings
nmap -sS -p 22,80,443,8080,8443 <target_ip>
# Top 1000 ports with service detection
nmap -sS -sV --top-ports 1000 <target_ip>
# Full 65535 port scan (slow, use only when justified)
nmap -sS -p- --min-rate 1000 <target_ip>
# Save results
nmap -sS -sV -p 22,80,443 <target_ip> -oN nmap_scan.txt -oX nmap_scan.xml
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.
- 9d ago First seen · 400 lines · 30 tokens per session scan C 4a36b5021b8e
active-recon is a skill published in the GitHub repository MingyiSecLab/Mingyi-Atlas (11 stars, last pushed 2mo ago), licensed Apache-2.0. It adds 30 tokens to every session and 3,881 once invoked, about $0.0002 per session on Opus 5. A static security scan graded it C 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 2026-09-03.
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