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 xuansenpa1/skillrevise --skill threat-detectiongit clone --depth 1 https://github.com/xuansenpa1/skillreviseWrote 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/xuansenpa1/skillrevise/threat-detection)<a href="https://agentmods.dev/skills/xuansenpa1/skillrevise/threat-detection"><img src="https://agentmods.dev/badge/skills/xuansenpa1/skillrevise/threat-detection/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/xuansenpa1/skillrevise/threat-detection"><img src="https://agentmods.dev/badge/skills/xuansenpa1/skillrevise/threat-detection.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 | $0.00026 | $0.01343 |
| Opus 5 | $0.00013 | $0.00672 |
| Sonnet 5 | $0.00005 | $0.00269 |
| Haiku 4.5 | $0.00003 | $0.00134 |
Grade A, and why
threat-detection 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 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.
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.
This is a copy
100% identical to threat-detection — 0 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.
How it starts
The opening of the file, as written. The whole thing — 196 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Network Threat Detection Guide
This skill provides exact detection thresholds for identifying malicious network patterns. Use these specific thresholds - different values will produce incorrect results.
Port Scan Detection
Simple port count is NOT sufficient for detection! A high port count alone can be normal traffic.
Detection Requirements - ALL THREE Must Be Met
Port scanning is ONLY detected when ALL THREE conditions are true:
| Condition | Threshold | Why |
|---|---|---|
| Port Entropy | > 6.0 bits | Scanners hit ports uniformly; normal traffic clusters on few ports (~4-5 bits) |
| SYN-only Ratio | > 0.7 (70%) | Scanners don't complete TCP handshake; they send SYN without ACK |
| Unique Ports | > 100 | Must have enough port diversity to be meaningful |
If ANY condition is not met, there is NO port scan.
Example: Why Simple Threshold Fails
Traffic with 1000 unique ports to one target:
- Port entropy: 4.28 bits (BELOW 6.0 - fails!)
- SYN-only ratio: 0.15 (BELOW 0.7 - fails!)
- Result: NOT a port scan (normal service traffic)
Implementation
import sys
sys.path.insert(0, '/root/skills/pcap-analysis')
from pcap_utils import detect_port_scan
# Returns True ONLY if all three conditions are met
has_port_scan = detect_port_scan(tcp_packets)
Or implement manually:
import math
from collections import Counter, defaultdict
from scapy.all import IP, TCP
def detect_port_scan(tcp_packets):
"""
Detect port scanning using entropy + SYN-only ratio.
Returns True ONLY when ALL THREE conditions are met.
"""
src_port_counts = defaultdict(Counter)
src_syn_only = defaultdict(int)
src_total = defaultdict(int)
for pkt in tcp_packets:
if IP not in pkt or TCP not in pkt:
continue
src = pkt[IP].src
dst_port = pkt[TCP].dport
flags = pkt[TCP].flags
src_port_counts[src][dst_port] += 1
src_total[src] += 1
# SYN-only: SYN flag (0x02) without ACK (0x10)
if flags & 0x02 and not (flags & 0x10):
src_syn_only[src] += 1
for src in src_port_counts:
if src_total[src] < 50:
continue
# Calculate port entropy
port_counter = src_port_counts[src]
total = sum(port_counter.values())
entropy = -sum((c/total) * math.log2(c/total) for c in port_counter.values() if c > 0)
syn_ratio = src_syn_only[src] / src_total[src]
unique_ports = len(port_counter)
# ALL THREE conditions must be true!
if entropy > 6.0 and syn_ratio > 0.7 and unique_ports > 100:
return True
return False
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 · 196 lines · 26 tokens per session scan A 456e491ca6f0
threat-detection is a skill published in the GitHub repository xuansenpa1/skillrevise (56 stars, last pushed 5d ago), licensed MIT. It adds 26 tokens to every session and 1,343 once invoked, about $0.0001 per session on Opus 5. A static security scan graded it A with 0 findings. It is 100% identical to threat-detection, differing in 0 lines, and is treated as a copy.
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