What is Cambrian? An AI skill engine where skills get better the more you use them. Every AI tool runs the same prompts forever. Cambrian is different: Give feedback → LLM mutates the skill 3-trial benchmark → LLM Judge blind-scores A/…

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Deep Tech

I built a self-evolving AI skill engine as a solo dev using 4 AI models What is Cambrian?

Angriffsfläche

Enterprise IT / Cloud Infrastruktur

Exploit-Status

⚠️ Öffentlicher Exploit-PoC verfügbar

Sofortmaßnahme

Asset-Inventar prüfen & Upstream-Advisory überwachen

What is Cambrian?

An AI skill engine where skills get better the more you use them.

Every AI tool runs the same prompts forever. Cambrian is different:

Give feedback → LLM mutates the skill

3-trial benchmark → LLM Judge blind-scores A/B

Better version survives, worse one dies

After 10 rounds, the skill is personalized to YOUR workflow

How I built it

Solo Korean developer. 4 AI models in relay:

Claude Opus → architecture & critical thinking (40 rounds of self-critique)

GPT → code generation

Claude Sonnet → implementation & debugging

Gemini → review

The project itself was evolved through its own philosophy:

feedback → improve → test → repeat.

Key features

3-channel feedback: auto (failure analysis), critic (proactive review), manual

LLM Judge: blind A/B scoring (0-10) with reasoning

Competitive execution: same domain, best skill wins

Multi-provider: Claude, GPT, Gemini — not locked to one platform

Skill decay: 30 days unused → dormant, 90 days → fossil

Export/import: portable .cambrian packages

Numbers

180 tests, 0 failures

14 seed skills

16 CLI commands

3 LLM providers

Try it

pip install git+https://github.com/Ait426/cambrian.git

cambrian init --dir ./my_project

cambrian skills

GitHub: https://github.com/Ait426/cambrian

What would you break first?

1. Sofort-Triage & Abwehrmaßnahmen

IR-PLAYBOOK-VULN-REMEDIATIONMEDIUM

Schritte anzeigen

SOC Incident Playbook: Vulnerability Remediation & Verification

Asset Inventory

Asset-Datenbank nach betroffenen Komponenten, Versionen und exposed Ports abfragen.

nmap -sV --script vuln -p- <target-network>

Exploit MonitoringSofort

SIEM-Regeln und IDS-Signaturen (Snort/Suricata) auf Angriffsversuche schärfen.

tail -f /var/log/suricata/fast.log | grep <cve>

Patch DeploymentSofort

Patch oder offiziellen Workaround gemäß Hersteller-Empfehlung einspielen.

Check Vendor Security Advisory Bulletin

1-Click Detection Engineering: Multi-Dialect SIEM Rules5 Formate

Regeln anzeigen

Syntax validiert (0 Fehler)

title: Detect Exploitation - I built a self-evolving AI skill engine as a solo dev using 4 AI models
id: 4c517a33-4ad2-49c5-bc21-12e87122d711
status: experimental
description: Automatisch generierte SIEM-Erkennungsregel basierend auf CTI Intelligence
references:
  - https://tsecurity.de/
author: iShareStuff CTI Automated Detection Engine
date: 2026-09-26
logsource:
  category: network_connection
  product: any
detection:
  selection:
      CommandLine|contains:
        - 'exploit'
  condition: selection
falsepositives:
  - Legitime administrative Zugriffe oder Penetrationstests
level: high
tags:
  - attack.initial_access

Syntax validiert (0 Fehler)

rule CTI_Threat_Indicator {
    meta:
        author = "iShareStuff CTI Automated Detection Engine"
        date = "2026-09-26"
        description = "YARA Signature for "
    strings:
        $str = "I built a self-evolving AI ski" ascii wide
    condition:
        any of them
}

Syntax validiert (0 Fehler)

index=security sourcetype IN ("cisco:asa", "pan:traffic", "zeek_conn", "suricata", "WinEventLog:Security")
("I built a self-evolving AI skill engine ")
| stats count earliest(_time) as first_seen latest(_time) as last_seen by src_ip, dest_ip, dest_host, signature
| eval first_seen=strftime(first_seen, "%Y-%m-%d %H:%M:%S"), last_seen=strftime(last_seen, "%Y-%m-%d %H:%M:%S")
| sort - count

Syntax validiert (0 Fehler)

message: "*I built a self-evolving AI skill engine *"

Syntax validiert (0 Fehler)

CommonSecurityLog
| where Message has "I built a self-evolving AI skill engine "
| summarize EventCount = count(), FirstSeen = min(TimeGenerated), LastSeen = max(TimeGenerated) by SourceIP, DestinationIP, DestinationPort, Activity
| extend DetectionRule = "iShareStuff-CTI-Compiled"
| sort by EventCount desc

2. Cyber Threat Intelligence & Forensik

🎯

MITRE ATT&CK Matrix Navigator 14 Taktiken

Reconnaissance

Resource Development

Initial Access

Execution

Persistence

Privilege Escalation

Defense Evasion

Credential Access

Discovery

Lateral Movement

Collection

Command and Control

Exfiltration

Impact

💡 Tipp: Klicken Sie auf eine TTP, um Gegenmaßnahmen und SIEM-Erkennungsregeln anzuzeigen.Enterprise Matrix v14.1

🚀 Auf tsecurity.de entdecken

◀ VORHERIGER BEITRAG 6 Min

How to Build a GDPR-Compliant Web Scraper With Playwright in 2026

Sichere Programmierung

NÄCHSTER BEITRAG 3 Min

Stop Lecturing, Start Playing! track 1

IT Security VideoWeiterlesen ▶

Blättern: Pfeiltasten [ ← ] [ → ] · Tasten j / k · mobil: Wischen

Fokus-Vektor:

Kognitive Analyse für identifizierte Bedrohung: Erhöhte Bedrohungslage im Bereich I built a self-evolving AI skill engine .... Basierend auf 368k Vektor-Korrelationen werden sofortige Isolationsmaßnahmen für betroffene Endpunkte empfohlen.

🛡️ Angriffsfläche & Exposure

Netzwerk/Remote-Zugriff ohne Vorauthentifizierung möglich.

⚡ Empfohlene Sofortmaßnahmen

1. Perimeter-Inspektion: Relevante Portfreigaben und exponierte Endpunkte unverzüglich scannen.
2. Patch-Applikation: Hersteller-Hotfix einspielen oder betroffene Daemons in isolierte DMZ-Segmente überführen.
3. Telemetrie & EDR-Alerts: Prozessaufrufe und Child-Processes auf anomale Shell-Spawns überwachen.

🔗 Semantisch verwandte Zero-Days MariaDB 11.7 VEC

Schnell-Prompts für Analysten

⚠️ DEFANGED SANDBOX VIEW (tsecurity.de): Alle Netzwerkindikatoren und URLs wurden neutralisiert (2 Indikatoren entschärft). Nur zur defensiven Analyse!

Format: python

#!/usr/bin/env python3
# Exploit Title: PoC for Target
import socket, sys
target = '192[.]168[.]1[.]10'
url = 'hxxp://target[.]local/vuln'
s = socket.socket()
s.connect((target, 80))
s.send(b'GET / HTTP/1.1\r\nHost: target.local\r\n\r\n')

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I built a self-evolving AI skill engine as a solo dev using 4 AI models

What is Cambrian?

How I built it

Key features

Numbers

Try it

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I built a self-evolving AI skill engine as a solo dev using 4 AI models

What is Cambrian?

How I built it

Key features

Numbers

Try it

1. Sofort-Triage & Abwehrmaßnahmen

SOC Incident Playbook: Vulnerability Remediation & Verification

2. Cyber Threat Intelligence & Forensik

MITRE ATT&CK Matrix Navigator 14 Taktiken

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