Explorar skills

Browser automation CLI for AI agents. Use when the user needs to interact with websites, including navigating pages, filling forms, clicking buttons, taking screenshots, extracting data, testing web apps, or automating any browser task. Triggers include requests to "open a website", "fill out a form", "click a button", "take a screenshot", "scrape data from a page", "test this web app", "login to

GAN-style identity verification -- tests clone fidelity by comparing clone responses against real user messages. Run /twin-test to start a blind taste test, or /twin-test score to see your fidelity score over time.

This skill should be used when the user is auditing a "polyglot monorepo", "multi-language codebase", "microservices with different languages", "Go + Python + TypeScript", or any codebase with services written in different programming languages. Provides strategies for cross-service security analysis and unified threat modeling.

This skill should be used when the user asks to "detect workspaces", "find packages", "list monorepo packages", "workspace structure", "monorepo analysis", or needs to identify workspace/package boundaries in a codebase for focused security analysis.

This skill should be used when the user asks about "logging failures", "log injection", "insufficient logging", "audit logging", "security logging", "CWE-117", or needs to find logging-related vulnerabilities during whitebox security review.

This skill should be used when the user asks about "compliance mapping", "PCI-DSS", "HIPAA", "SOC 2", "NIST CSF", "regulatory requirements", "compliance report", or needs to map security findings to compliance framework requirements.

Detect postMessage handlers that trust unvalidated origins or write attacker-controlled data to dangerous DOM sinks.

Use when writing or reviewing tests, designing test data, naming a test, choosing what to assert, or writing test helpers/mocks/fixtures

This skill should be used when the user asks about "vulnerability chains", "chained exploits", "multi-step attacks", "SSRF to RCE", "pivot attacks", or needs to identify how vulnerabilities in different components can be combined during whitebox security review.

Drive a single finding through CPG verification and false-positive triage.

This skill should be used when the user asks about "threat model", "STRIDE", "data flow diagram", "attack surface", "threat analysis", "security architecture", "component threats", "trust boundaries", "technology decomposition", or needs systematic threat identification during whitebox security review.

This skill should be used when the user asks about "AI security", "ML pipeline attacks", "prompt injection", "model deserialization", "unsafe model loading", "Jupyter injection", "LLM security", or needs to identify AI/ML-specific vulnerabilities in codebases that use machine learning frameworks.