Skill UI

This skill provides a deterministic, git-only method to verify claims made by AI agents (e.g., 'done', 'shipped', 'fixed'). Instead of trusting the agent's self-report, it audits the commit's diff and git history using the DOS kernel (`dos verify`, `dos commit-audit`) to confirm if the claimed change genuinely occurred and is backed by non-forgeable evidence. It acts as a critical quality gate.

This skill provides deep security review for GitHub Actions workflow files. It focuses on the unique Actions threat model—identifying vulnerabilities like script injection via ${{ }} interpolation, privilege escalation from triggers (e.g., pull_request_target), and ensuring least-privilege permissions for CI/CD pipelines. Use it to audit, secure, or harden existing workflows, preventing attacks from untrusted inputs and supply chain risks.

This skill optimizes articles for Answer Engine Optimization (AEO), ensuring content is structured for maximum extractability by AI models like ChatGPT and Perplexity. It rewrites vague headings into direct questions, inserts self-contained 50-80 word answer capsules, audits and trims long paragraphs, and highlights trust signals, making your content highly readable and citable by AI search engines.

This skill conducts a 15-question interview to deeply capture your professional context, including your role, core topics, trusted sources, and preferred format. It then generates a comprehensive, reusable 'master prompt' that can be pasted into automated routines or scheduled tasks, ensuring you receive personalized, structured intelligence briefings without manual setup.

This skill generates a comprehensive, structured threat model for any given service or feature using the STRIDE framework. It guides users through identifying critical assets, defining trust boundaries, enumerating specific threats (Spoofing, Tampering, Repudiation, Information Disclosure, Denial of Service, Elevation of Privilege), assessing risk, and proposing concrete mitigation controls. Ideal for security design reviews and documentation.

Microsoft Entra PIM enforces Just-in-Time (JIT) access by replacing standing (permanent) privileges with time-bound, eligible assignments. This workflow mandates explicit role activation, justification, Multi-Factor Authentication (MFA), and optional approval workflows, significantly reducing the attack surface and ensuring adherence to Zero Trust principles for critical Azure and Entra roles.

This skill deploys Remote Browser Isolation (RBI) as a core component of a Zero Trust security architecture. It implements sophisticated isolation policies utilizing URL categorization, risk-based routing, and Content Disarming and Reconstruction (CDR) for file sanitization. It provides robust data loss prevention controls, effectively mitigating zero-day exploits, phishing, and data exfiltration across isolated web sessions, and integrating with SWG and ZTNA platforms.

Implements HashiCorp Vault's dynamic secrets engine to automatically generate, lease, and rotate short-lived credentials for databases (e.g., Postgres, MySQL), AWS IAM keys, and PKI certificates. This eliminates the risk associated with storing static secrets, ensuring compliance with zero-trust principles and automating the entire secret lifecycle.

This skill details the implementation of continuous identity verification for Zero Trust architectures. It covers deploying phishing-resistant Multi-Factor Authentication (FIDO2/WebAuthn), establishing risk-based conditional access policies, and integrating identity governance controls aligned with NIST and CISA frameworks. Learn how to move beyond traditional passwords to dynamic, adaptive security models.

A comprehensive guide for conducting authorized vishing (voice phishing) pretext calls. This technique, utilized in red-teaming, simulates an attacker impersonating a trusted authority (e.g., IT support, vendor) to test an organization's human security controls. It measures employee adherence to verification protocols and highlights vulnerabilities in staff security awareness.

Provides a comprehensive guide to implementing Zero Trust Network Architecture on Google Cloud Platform (GCP) using Identity-Aware Proxy (IAP). It enforces rigorous, per-request identity verification and context-aware authorization for services like Compute Engine, App Engine, and Cloud Run. This ensures that only authenticated users who meet specific criteria (e.g., device posture, corporate location, time window) can access protected resources, eliminating reliance on public IPs or VPNs.

This skill enforces a rigorous data validation protocol by establishing hard boundaries at every point data enters the system (API requests, user input, environment variables, webhooks, etc.). It mandates a four-phase process: detection, trust classification, mandatory filtering (schema validation, sanitization, type checking), and final verification. This prevents untrusted data from reaching core business logic, mitigating risks like SQL injection and XSS.