Skill UI

Claudeception continuously monitors work sessions, looking for reusable insights—debugging tricks, tool integrations, and workflow optimizations—and codifies them into new Claude Code skills so teams retain non-obvious knowledge for future tasks.

SAELens provides a framework for training and analyzing Sparse Autoencoders (SAEs). SAEs decompose the dense, often polysemantic activations of large language models into sparse, monosemantic features. Use this when you need to discover the discrete, interpretable concepts a model has learned, study feature superposition, or analyze specific safety-relevant behaviors (like bias or deception) within deep neural networks.

Hypogenic automates LLM-driven hypothesis generation and testing over tabular datasets, blending literature insights with empirical analysis to accelerate discovery in domains like deception detection or AI content evaluation.

This skill uses the Thinkst Canary REST API to programmatically deploy and monitor various tripwire mechanisms, including web bugs, DNS tokens, MS Word documents, and AWS API keys. It is designed for early breach detection by simulating attacker activity and generating comprehensive deception coverage reports and alert histories.

This guide details the deployment of deception technologies, including canary files and honeypot shares, to detect ransomware activity at its earliest stages. It outlines configuring file integrity monitoring (FIM) and using specialized tokens to trigger alerts when ransomware attempts encryption or performs lateral movement, significantly enhancing security posture beyond standard EDR.

A comprehensive guide for deploying and managing network deception systems using industry-leading honeypot platforms like OpenCanary, T-Pot, and Cowrie. This skill helps security professionals detect unauthorized access attempts, trace lateral movement, and gather critical threat intelligence by simulating vulnerable services within a controlled environment. Ideal for enhancing network security architecture and creating early warning indicators for intrusions.

A comprehensive guide to deploying deception technologies, including honeypots, honeytokens, and decoy systems, within a Security Operations Center (SOC). This skill is used to detect advanced attackers who bypass perimeter defenses by monitoring lateral movement, credential abuse, and internal reconnaissance. It provides high-fidelity, near-zero false positive alerts and is essential for threat hunting and incident response strategy.

This skill guides users through performing sophisticated web cache deception attacks. It exploits path normalization discrepancies and cache key misconfigurations between Content Delivery Networks (CDNs) and origin servers. Use this methodology to test for sensitive data exposure, cache poisoning, and authentication bypass vulnerabilities in applications protected by aggressive caching layers like Cloudflare or Akamai.

This tool automates the deployment of deception-based honeytokens within Active Directory environments. It creates fake privileged accounts, decoy SPNs for Kerberoasting detection, and misleading GPOs with password traps. Designed for advanced security teams to detect reconnaissance, lateral movement, and credential theft with high fidelity.

This skill outlines the architecture and methodology for deploying canary files (honeytokens) across critical file systems. By placing decoy documents with known content in high-value locations, this system monitors for unauthorized modifications, deletions, or encryption attempts. It detects ransomware by triggering high-fidelity alerts via File Integrity Monitoring (FIM) systems, serving as a crucial deception layer that complements existing EDR/AV solutions.

This skill details the deployment of various canary tokens (DNS, HTTP, AWS API Keys) across enterprise network infrastructure. It establishes digital tripwires that detect behavioral anomalies, such as unauthorized access, credential leakage, or lateral movement. Tokens are configured with webhook alerts (Slack, SIEM) for real-time, low-false-positive notification, significantly enhancing traditional IDS/IPS capabilities.

A comprehensive playbook detailing expert-level techniques for exploiting web cache vulnerabilities. Covers both Web Cache Deception (stealing authenticated user data) and Web Cache Poisoning (injecting malicious content). Techniques include path confusion, unkeyed header manipulation (X-Forwarded-Host), and exploiting CDN/reverse proxy caching logic. Essential reading for penetration testers and security researchers.