Skill UI

Cavecrew provides a set of specialized subagents (investigator, builder, reviewer) designed for efficient code development delegation. Unlike vanilla agents, Cavecrew compresses output results, drastically reducing the token usage injected back into the main context. This allows users to maintain context over much longer, complex coding sessions, effectively preventing context exhaustion during large-scale refactoring, debugging, or multi-step feature development.

A systematic, multi-phase guide for tackling hard bugs and performance regressions. It mandates building a robust feedback loop (e.g., failing tests, harnesses), formulating falsifiable hypotheses, targeted instrumentation, and rigorous regression testing. This methodology ensures that debugging efforts are structured, efficient, and highly reproducible, making it ideal for complex software defects.

A practical offensive methodology for Android and iOS app testing. It covers static analysis, Frida/Objection instrumentation, SSL pinning bypass, exported component abuse, insecure storage review, and mobile API reconnaissance for pentest and bug bounty work.

A comprehensive playbook for defeating anti-debugging mechanisms in protected binaries. Covers advanced techniques across both Linux (ptrace, /proc/self/status, timing checks) and Windows (PEB flags, NtQueryInformationProcess). Provides detailed detection methods and corresponding bypass strategies (e.g., patching, hooking, kernel modules) essential for advanced binary reverse engineering.

This toolset provides a comprehensive development workflow for iterating on MicroPython applications (such as Claude Buddy, Hello, and Snake) on the Cardputer-Adv device. It allows developers to add new apps, push single updated .py files without full re-flashing, monitor device serial logs, or execute one-shot REPL commands directly from the host machine. Essential for rapid prototyping and debugging embedded systems.

A comprehensive, top-level routing skill for authorized web security assessment, bug bounty hunting, and API penetration testing. It guides the agent through a structured methodology, covering the entire attack lifecycle from reconnaissance and vulnerability triage (XSS, SQLi, IDOR, etc.) to advanced business logic flaw identification. Use this skill to ensure thorough, systematic security analysis.

A comprehensive methodology designed for authorized external reconnaissance and red-teaming operations. It covers the full attack surface mapping lifecycle, including asset discovery, confidence scoring (Tentative, Firm, Confirmed), and developing structured, evidence-based client deliverables. Essential for ethical hacking, bug bounty, and assessing an organization's external digital footprint.

A comprehensive playbook for professional bug bounty hunting and penetration testing. This guide covers systematic reconnaissance, from initial asset discovery (subdomains, IPs) and technology fingerprinting to advanced endpoint and source code mining. Learn the structured methodology used by top hunters to maximize coverage and find high-severity vulnerabilities.

A specialized Codex CLI alias designed to check the operational status of the PUA agent or team. This tool reports current active states, corresponding Process IDs (PID), Time To Live (TTL), and identifies stale or inactive records. It is primarily used for system debugging and monitoring agent health via the command line.

A specialized skill for building and auditing Kubernetes Operators. It focuses on the core principle of the declarative reconcile loop, helping developers identify and fix common operational bugs such as status drift, missing finalizers, and incorrect RBAC. Includes tools to validate CRD specifications, lint controller code, and audit capability levels against industry best practices.

Use this skill to deeply inspect and audit the entire process of local AI coding-agent sessions. It tracks critical operational metrics such as token consumption, cost spikes, tool failures, latency anomalies, and overall health scores. Ideal for debugging unreliable code runs, establishing CI/CD health gates, or comparing different attempts to ensure semantic accuracy.

This skill is designed to assist developers in debugging complex code issues. It analyzes detailed error messages, stack traces, and common error types (like TypeError or ReferenceError) to accurately pinpoint the root cause of bugs. It provides a structured, step-by-step report including specific fix suggestions and proactive prevention strategies.